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Mostrando entradas con la etiqueta ecological modelling. Mostrar todas las entradas
Mostrando entradas con la etiqueta ecological modelling. Mostrar todas las entradas

26 de marzo de 2026

Programa de master en biología evolutiva y orígenes de la vida (Londres)

MRes (Masters by Research) en Evolution and Origins of Life - University College London, Centre of Life's Origins and Evolution - Reino Unido - 1 año - Programa con investigación, modelado y genómica

Location: London, United Kingdom

Organization: University College London, Centre of Life's Origins and Evolution

Contract Type: MRes (Masters by Research) - 1 year scholarship programme

Main Description: One-year MRes programme in evolutionary biology with a research project at the Centre of Life's Origins and Evolution. This is part of the MRes Biosciences programme with emphasis on evolution and origins of life. The programme combines theoretical methods, modelling, bioinformatics, and experimental/genomic work alongside field opportunities.

Requirements: Degree in biosciences or equivalent; interest in evolutionary biology topics; aptitude for research using statistical methods, theoretical approaches, modelling, deep learning, genomics, fieldwork, and experimentation.

How to Apply: Submit application clearly stating interest in the Evolution and Origins of Life stream in your motivation letter. Full details at https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/biosciences-mres. For questions, contact Dr. Ferdinand Marlétaz (f.marletaz@ucl.ac.uk) or Professor David Murrell (d.murrell@ucl.ac.uk).

18 de marzo de 2026

2 Postdocs en modelado matemático de evolución y desarrollo (Suecia)

Postdoctoral Positions in Mathematical Modeling of Development and Evolution - Stockholm University & SciLifeLab, DDLS program, Sweden - 2-3 years - Deadline 31 March 2026

Location: Stockholm, Sweden

Organization: Stockholm University & SciLifeLab, DDLS program

Contract Type: Postdoctoral position, 2-3 years

Main Description: Two postdoctoral positions available in mathematical and computational modeling of developmental dynamics and evolution. The work includes inference of dynamical systems from high-dimensional biological time series data and modeling developmental constraints on phenotypic evolution. No laboratory work required.

Requirements: PhD in quantitative biology, applied mathematics, physics, computational science, statistics or related field; strong quantitative training; interest in evolution and development.

How to Apply: Email: lisandro.milocco@zoologi.su.se
Application portal: https://su.varbi.com/en/what:job/jobID:906238/

Deadline: 31 March 2026

10 de marzo de 2026

Postdoc en modelado de peces y artes de pesca (Francia)

Postdoc en modelado Individual-Based de interacciones peces-artes de pesca - Ifremer UMR DECOD, Lorient, Francia - 15-18 meses - Deadline 20 marzo 2026

Location: Lorient, France

Organization: Ifremer, UMR DECOD

Contract Type: Postdoc - 15 months (+ 3 months depending on additional funding)

Main Description:
Development of an Individual-Based Model (IBM) to study interactions between fish and fishing gear in trawling. Integration of existing C++ Qt code with behavioral data to optimize fishing gear selectivity parameters.

Requirements:
  • Master's or engineering degree in Quantitative Ecology or PhD in Ecology/Applied Mathematics
  • Strong skills in C++ and Qt
  • Experience in numerical simulation and computational time optimization
  • Experience with optimization algorithms (e.g. genetic algorithms)
  • Experience with IBM models desirable
  • Experience with graphical frameworks such as OpenSceneGraph advantageous
  • Ability to integrate into a team and work independently

Benefits/Conditions:
15-month contract with possibility of 3-month extension depending on additional funding. Desired start date: first quarter of 2026.

How to Apply:
Send CV, cover letter and recommendation letter to Marianne.robert@ifremer.fr. Applications are reviewed as they are received. Deadline: March 20, 2026.

29 de marzo de 2023

Open position: Postdoctoral Researcher - Population modelling and ecological connectivity (Spain)

100% of full-time position, 2 years with possibility to extend the contract

The successful candidate will develop multi-species metapopulation models that account for

species interactions and climate and land-use change impacts on local population dynamics and

dispersal (focusing on southern Spain and Portugal). To do so, they will integrate available data on

focal species in the Doñana study area, including meso- and large predators and both vertebrate

and invertebrate herbivores to develop a framework for functional connectivity and

metapopulation modelling that can be scaled from the local to the European scale. The research

will be done in collaboration with the NaturaConnect consortium which includes scientific

institutes across Europe and some of the major European NGOs. The research will also involve the

translation of the outputs into tools that can be used by stakeholders in decision-making

processes.

Tasks:

 Develop the multi-species demographic models and mobilize and integrate the necessary

data to train and validate the models.

 Develop the functional connectivity framework and apply it across scales, i.e., local to

(trans)national to regional.

 Project the impact of future corridors design on local populations and their functional

connectivity using the scenarios that will be produced within the consortium.

 Write research articles and participate in the communication on findings of the research to

various stakeholders (e.g., policy briefs, scientific conference presentation, dissemination

articles).

Requirements:

 A PhD degree in ecology, conservation biology, environmental sciences or related

disciplines.

 Fluent in at least one scientific coding language (R, Python, C++).

 Robust knowledge of spatially explicit agent-based modelling.

 Excellent organizational skills, pro-active and results-oriented, and the capacity to deliver

on allocated tasks and respond in a timely manner to deadlines.

 Ability to work independently and capacity to collaborate and work with multiple people

and groups in an international environment.

 A track record of publishing high-quality scientific research (commensurate to career

stage).

 Excellent communication skills (both written and oral) in English.

Desirable but non-mandatory skills and experiences:

 Experience in parallel computing, collaborative coding and version control (e.g., Git).

 Skills in processing analyzing movement data.

 Knowledge of demographic modelling is advantageous but not essential.

 Good understanding of current applied ecology and conservation research.

 Knowledge of Spanish (written and oral)


Terms of employment

The selected candidate should be available to take up the position by July 2023. We offer a full-

time (40 hours per week) employment contract for two-year with the potential for extension.

Duties will be carried out at EBD-CSIC in Sevilla (up to 100 - non-consecutive - days per year home

office working within Spain is possible).

We offer

Very competitive salaries (ca. 40K€/year, with net salary depending on the family situation).

A dynamic research team and research environment (EBD-CSIC is among the best European

institutions for ecological research).

State-of-the art infrastructure (including access to cloud computing and supercomputer).

Family-friendly work environment (high flexibility for candidates with child-care responsibilities).

Context

This position is funded by the Horizon Europe research project “NaturaConnect: Designing a

resilient and coherent Trans-European Network for Nature and People”. NaturaConnect aims to

support the implementation of the EU Biodiversity Strategy for 2030, through an integration of

interdisciplinary research and stakeholder engagement across scales, to develop spatial planning

policy supporting tools. A key objective is to incorporate population dynamics and dispersal

processes into the design of the corridors of the future Trans-European network of protected

areas.

The position is affiliated with the Department of Conservation Biology and Global Change of the

Doñana Biological Station (EBD-CSIC). EBD-CSIC offers an interdisciplinary and international

workplace, and the possibility to interact with researchers of different nationalities, with strong

ties to a world-wide network of research institutions engaged in ecological research.

At EBD-CSIC, our group develops and applies state-of-the art ecological knowledge and methods

that focus on movement and population dynamics of animal species. We conduct research within

several collaborative projects all around the globe and our principal study area is the Doñana

National Park. One of our main motivations is to develop appropriate management options that

have ecological implications and conservation relevance.

Application process

Queries concerning the application process and the research project should be directed to Laetitia

Navarro (laetitia.navarro@ebd.csic.es) and Maria Paniw (maria.paniw@ebd.csic.es). Please upload

your CV and motivation letter in English here: https://saco.csic.es/index.php/s/ztCZBsT35Tz93BM.

In your CV, include the names of three senior scientists who could serve as possible references.

21 de marzo de 2023

Conservación y restauración ecológica: PhD en modelos de distribución de especies en Portugal

Oferta compartida por Cristina


PhD Scientific Researcher Recruitment (Initial Stage Researcher)


Job Information
Organisation/CompanyFCiências.IDDepartmentRecursos HumanosResearch Field
Biological sciences » Biology
Biological sciences » Other
Chemistry » Biochemistry
Environmental science » Global change
Environmental science » Other
Geosciences » OtherResearcher ProfileRecognised Researcher (R2)CountryPortugalApplication Deadline28/03/2023 - 23:59 (Europe/Lisbon)Type of ContractTemporaryJob StatusFull-timeHours Per Week35Is the job funded through the EU Research Framework Programme?Not funded by an EU programmeReference Number#4206; FCiências.ID/2023/DL57/cE3c/3Is the Job related to staff position within a Research Infrastructure?No

Offer Description


#4206

Public Notice - International Selection Procedure

PhD Scientific Researcher Recruitment ( Initial Stage Researcher)

FCiências.ID/2023/DL57/ cE3c/3



FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências, through its Chairman of the Board of Directors, hereby announces the opening of an international call for the recruitment of a Scientific Researcher with a PhD degree, in the category of Initial Stage Researcher of the FCiências.ID Scientific Research Career, within the scope of the project TRANSLOC: Translocations of flora and fauna for conservation and ecological restoration: ecological, evolutionary and socioeconomic impacts, at multiple scales (Ref. DivRestore/0014/2020), financed by Fundação para a Ciência e a Tecnologia, I.P./MCTES through national funds (PIDDAC), in the form of an indefinite duration fixed-term employment contract, on an exclusive regime, according to the Portuguese Labour Code and Decree-Law No. 57/2016, of August 29th, as amended by Law No. 57/2017, of July 19th.



I. Admission Requirements

Portuguese nationals, foreign and stateless persons may submit applications to this selection procedure, provided they hold a doctoral degree1 in Biology, Biochemistry, Climate Change, Geophysical Sciences, Environmental Sciences or related areas, with expertise in climate services, change modelling, climate systems or related areas, and fully comply with the following requirements:a) Proven experience in ecological modelling, more specifically in the use of the RangeShifter software (https://rangeshifter.github.io) - information provided in the CV and/or in the motivation letter;
b) Experience in models of species distribution, animal movement and population dynamics - information provided in the CV and/or in the motivation letter;
c) In-depth knowledge of R (https://www.r-project.org/) and/or python (https://www.python.org) programming languages - information provided in the CV and/or in the motivation letter;
d) Proven scientific experience in the topics mentioned above, demonstrated by the quality and number of scientific articles published in peer-reviewed scientific journals - information provided in the CV and/or in the motivation letter.

1 Please note that Degrees obtained in foreign countries need a Portuguese Recognition issued by a Portuguese high degree Institution, according to the Decree-Law nr. 66/2018, of August 16th and the Ministerial Order nr. 33/2019, of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition.



II. Preferential Requirementsa) Experience in processing and analysing data - information provided in the CV and/or in the motivation letter;
b) Experience in participating in national and/or international scientific projects in the scientific areas of this call - information provided in the CV and/or in the motivation letter;
c) Scientific experience demonstrated by the publications as 1st author in international scientific journals - information provided in the CV and/or in the motivation letter;
d) Proficiency in English language - information provided in the CV and/or in the motivation letter;
e) Knowledge of Portuguese language (spoken and written) - - information provided in the CV and/or in the motivation letter.



III. Applicable Law

1. Decree-Law No. 57/2016, of August 29th (RCD), in the wording conferred on it by Law No. 57/2017, of July 19th (RCD);

2. Portuguese Labour Code, as approved by Law No. 7/2009, of February 12th, in its current version (CT);

3. Regulatory Decree No. 11-A/2017, of December 29th;

4. Administrative Procedure Code, as published in Decree-Law No. 4/2015, of January 7th, in its current version (CPA).



IV. Work plan

The work plan to be carried out includes the following tasks:

1) Search for information on reintroduction or translocation projects in the Palaearctic, but mainly in Portugal, including travel to collect information (e.g., libraries)

2) Treatment and introduction of data in the Transloc database;

3) Collection and processing of information regarding the movement and dispersion of different organisms;

4) Dispersion modelling according to different global change scenarios

5) Preparation and participation in project meetings and subsequent actions;

6) Publication of results in peer-reviewed scientific journals and other means;

7) Participation in dissemination activities, communication and involvement of project agents.

The work plan is included in “Work Package 5 - Relevance: congruence of translocation efforts with global changes” of the project TRANSLOC: Translocations of flora and fauna for conservation and restoration: ecological, evolutionary, and socio-economic impacts, at multiple scales.



V. Composition of the Jury

In accordance to article 13 of the RCD, the members of the jury are:President – Cristina Branquinho;
1st Member of the jury – Alice Nunes;
2nd Member of the jury – Tiago Capela;
1st Alternate Member of the jury – Pedro Pinho;
2nd Alternate Member of the jury – Sergio Chozas.



VI. Place of work

Work will be developed at the facilities of Research Center cE3c – Centre for Ecology, Evolution and Environmental Changes, in Campo Grande, Lisboa, Portugal.



VII. Contract Duration

The full-time indefinite duration fixed-term employment contract, on an exclusive regime, is expected to start in June 2023, and will last until the Work Plan referred to in section IV is completed. It will have an expected duration of 12 months, will not exceed the limits set in the RCD, including an initial experimental trial period of 30 days.



VIII. Monthly Allowance

The gross monthly salary is stipulated in clause 1 a) of article 15 of the RCD, corresponding to level 33 of the Single Remuneratory Table, as approved by Government Order No. 1553-C/2008, of December 31st, in its current version, updated by the decree-law nr. 84-F/2022, of December 16th, being 2206,05 Euros, on an exclusive regime, on which legal discounts will apply, plus holiday and Christmas allowances, as well as food allowance in the amount and conditions set out for workers with a legal employment relationship under the Labour Code.



IX. Evaluation of applications

1. Failure to comply with the Admission Requirements implies the non-admission of candidates in absolute merit.

2. According to article 5 of the RCD, the selection of the candidates approved in absolute merit will rely on the evaluation of their scientific and curricular achievements in the last five years, taking into consideration the quality and relevance of the scientific production, and the professional activity indicated as more relevant by the candidate, for the project.

3. Based on the assessment of the candidates' scientific and curricular background in the last five years, each member of the jury presents a justified proposal for admission (final classification equal to or greater than 70%) or exclusion (final classification below 70%) for each candidate, according to the evaluation criteria referred to in paragraph 5.

4. The final classification of candidates is given on a scale of 0 to 100%.

5. Evaluation of the relative merit of candidates, will rely on the following criteria:a) Scientific publications in the area of the call - 60%;
b) Motivation letter - 10%;
c) Participation in scientific projects in the area of the call - 10%;
d) Pedagogical activities, extension and dissemination of knowledge, namely in the context of promoting scientific practices, organization of courses, seminars and conferences for promotion and dissemination in the area of the call - 10%;
e) Assessment of the references given by the candidate - 10%;
f) Interview, if deemed necessary by the jury - 10%.

6. The jury may decide to interview the 3 best ranked candidates [in criteria a) to e) of paragraph 5], for clarifications and improved explanations of curricular elements. If there is an interview, the sum of the classification obtained in the evaluation criteria a) to e) will correspond to 90% of the final classification and the interview will correspond to 10%.

7. The jury shall deliberate by means of a roll-call vote based on the evaluation criteria.

8. Minutes of the jury meetings are drawn up, summarizing all relevant elements considered by jury members, as well as their individual votes and justifications.

9. After completion of the evaluation process, the jury will draw up a ranking of successful candidates with their classifications.

10. Hiring will be decided by the Chairman of the Board of Directors of FCiências.ID, based on the final jury recommendation.

11. The evaluation results will be published on the website of the FCiências.ID ("Concursos" tab). The candidates will be individually notified of the evaluation results by e-mail sent to the address indicated in the "Personal Data" section of the submitted form.

12. With the notification referred to in paragraph 11, the hearing phase of interested parties referred to in Article 121 et seq. of the CPA will begin, and last for ten working days.

13. The possible pronouncement of the candidate in a prior hearing must be addressed to the President of the jury and submitted in writing to concursos@fciencias-id.pt. The President of the jury will convene a jury’s meeting to produce the final decision, within thirty working days.

14. Within five working days of the final jury decision, the Chairman of the Board of Directors of FCiências.ID will approve it and the candidates will be notified.

15. The communication between FCiências.ID (concursos@fciencias-id.pt) and the candidates will be electronic and will comply with the following rules:a) At the time of electronic submission of any document - namely in the case of paragraph no 13 - the candidates must generate proof of "sent message".
b) FCiências.ID will send an email message acknowledging documents received to the email address used by the candidates, within two working days.
c) In case of absence of a confirmation receipt by FCiências.ID – showing the possibility of technical problems that should neither be the responsibility of the candidate nor FCiências.ID - the candidates should contact FCiências.ID, with the proof referred to in point (a), to ensure delivery and proper receipt of the documents concerned.



X. Compliance with public policies

1. FCiências.ID actively promotes a policy of non-discrimination and equal access, so that no candidate can be privileged, benefited, disadvantaged or deprived of any right or exempt from any duty due to, inter alia, ancestry, age, sex, sexual orientation, marital status, family status, economic situation, education, social origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological beliefs and trade union membership.

2. Under the terms of D.L. No. 29/2001, of February 3rd, a disabled candidate has a preference in equal classification, which prevails over any other legal preference. Candidates must declare their respective degree of disability, the type of disability and the means of communication / expression to be used in the selection process, under the terms of the above-mentioned diploma.



XI. Submission of Applications

1. The present call will be open from 1st March 2023 to 28th March 2023.

2. The application and all the required documents may be submitted in Portuguese or English.

3. Applications will be submitted online, through the electronic platform of FCiências.ID (http://concursos.fciencias-id.pt).

4. On the electronic platform, applicants will complete a mandatory section on Personal Data [name, address, date of birth, contact email, nationality and scientific identifiers] and upload files with the documents listed below:i. Detailed Curriculum vitae in PDF format - mandatory;
ii. A motivation letter clearly demonstrating that the candidate has an adequate profile for the position and fully complies with the Admission Requirements - mandatory;
iii. Up to five publications relevant for the objectives of the Work Plan - mandatory;.
iv. Digital copies of documents proving formal academic degrees (PhD) and/or other scientific and professional qualifications - original documents must be provided in case of actual recruitment - mandatory;
v. Other documents that candidates consider relevant for the assessment of their scientific merit, or to declare the personal situation in the cases covered in section X-2 of this Notice - optional.

5. By decision of the Chairman of the Board of Directors of FCiências.ID, candidates who do not submit the documents identified in paragraph 4 will not be admitted to the call. In case of doubts, the Chairman may also invite candidates to substantiate specific data or statements with official supporting documents, before accepting the candidates’ submission.



This Public Note was approved by the jury on 28th February 2023.

Requirements
Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent
Research FieldChemistry » BiochemistryEducation LevelPhD or equivalent
Research FieldEnvironmental scienceEducation LevelPhD or equivalent
Research FieldGeosciencesEducation LevelPhD or equivalent
Skills/Qualifications


I. Admission Requirements

Portuguese nationals, foreign and stateless persons may submit applications to this selection procedure, provided they hold a doctoral degree1 in Biology, Biochemistry, Climate Change, Geophysical Sciences, Environmental Sciences or related areas, with expertise in climate services, change modelling, climate systems or related areas, and fully comply with the following requirements:a) Proven experience in ecological modelling, more specifically in the use of the RangeShifter software (https://rangeshifter.github.io) - information provided in the CV and/or in the motivation letter;
b) Experience in models of species distribution, animal movement and population dynamics - information provided in the CV and/or in the motivation letter;
c) In-depth knowledge of R (https://www.r-project.org/) and/or python (https://www.python.org) programming languages - information provided in the CV and/or in the motivation letter;
d) Proven scientific experience in the topics mentioned above, demonstrated by the quality and number of scientific articles published in peer-reviewed scientific journals - information provided in the CV and/or in the motivation letter.

1 Please note that Degrees obtained in foreign countries need a Portuguese Recognition issued by a Portuguese high degree Institution, according to the Decree-Law nr. 66/2018, of August 16th and the Ministerial Order nr. 33/2019, of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition.


Additional Information
Benefits


VIII. Monthly Allowance

The gross monthly salary is stipulated in clause 1 a) of article 15 of the RCD, corresponding to level 33 of the Single Remuneratory Table, as approved by Government Order No. 1553-C/2008, of December 31st, in its current version, updated by the decree-law nr. 84-F/2022, of December 16th, being 2206,05 Euros, on an exclusive regime, on which legal discounts will apply, plus holiday and Christmas allowances, as well as food allowance in the amount and conditions set out for workers with a legal employment relationship under the Labour Code.






Eligibility criteria


I. Admission Requirements

Portuguese nationals, foreign and stateless persons may submit applications to this selection procedure, provided they hold a doctoral degree1 in Biology, Biochemistry, Climate Change, Geophysical Sciences, Environmental Sciences or related areas, with expertise in climate services, change modelling, climate systems or related areas, and fully comply with the following requirements:a) Proven experience in ecological modelling, more specifically in the use of the RangeShifter software (https://rangeshifter.github.io) - information provided in the CV and/or in the motivation letter;
b) Experience in models of species distribution, animal movement and population dynamics - information provided in the CV and/or in the motivation letter;
c) In-depth knowledge of R (https://www.r-project.org/) and/or python (https://www.python.org) programming languages - information provided in the CV and/or in the motivation letter;
d) Proven scientific experience in the topics mentioned above, demonstrated by the quality and number of scientific articles published in peer-reviewed scientific journals - information provided in the CV and/or in the motivation letter.

1 Please note that Degrees obtained in foreign countries need a Portuguese Recognition issued by a Portuguese high degree Institution, according to the Decree-Law nr. 66/2018, of August 16th and the Ministerial Order nr. 33/2019, of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition.


Selection process


Further info see: Offer description or here.



Website for additional job details
https://fciencias-id.pt/node/48
https://ciencias.ulisboa.pt/servicosCake/servicoLogos/Concursos/verAnexo/9384
https://ciencias.ulisboa.pt/servicosCake/servicoLogos/Concursos/verAnexo/9386

5 de febrero de 2023

Mejora la comprensión y predicción de las dinámicas de los rangos eco-evolutivos de las especies

Oferta compartida por Nuria

Research Fellow - Understanding eco-evolutionary range dynamics under global change.

Duration: 2 years.

An enthusiastic, motivated, and creative postdoctoral Research Fellow is sought to join a collaborative team within the School of Biological Sciences to develop new theory and predictive process-based models on species' range dynamics under environmental change.

The ideal candidate should have a strong background in theoretical evolution and/or ecology, strong programming skills, and interest in applying those skills to improve understanding and forecasting of species' eco-evolutionary range dynamics. The fellow will join Dr Greta Bocedi's team and a wider strong team of PIs, postdocs and postgraduate students developing and applying the Range Shifter platform (led by Dr Greta Bocedi, Prof Justin Travis and Prof Damaris Zurell at the University of Potsdam, in collaboration with Dr Lesley Lancaster), who are embedded within a global collaborative network that will maximize both the impact of the work and the advancement opportunities to the postdoctoral researcher.

Further information and application can be found here.
Informal enquiries are welcome to Greta Bocedi, greta.bocedi@abdn.ac.uk

3 de febrero de 2023

Conservación marina y ecología molecular en esta oferta de postdoc

Oferta compartida por Nuria

A 3 years research position in marine conservation/molecular ecology is now open !!!

In the frame of the newborn National Biodiversity Future Center, supported by the Italian National Recovery and Resilience Plan, we are looking for an enthusiastic candidate interested in working to develop integrated genetic, optical and AI methodologies to support biodiversity and conservation in the planning and adaptive monitoring phases of MSP.

Code 02 - 1 staff unit at CNR Institute of Marine Sciences (ISMAR) - Venice headquarters Research Activities: Scientific and technological research activities in marine ecology.

Experience Required: 
  • Marine ecology and marine conservation;
  • Applied genetics tools and data analysis to estimate biodiversity and/or ecological connectivity; 
  • Single and multivariate statistical data analysis for biodiversity;
  • Designing of experiments and monitoring strategies for conservation; 
  • Ecological modelling, opto-acoustic methodologies for biodiversity assessments
You may find detailed information about the position and application process in the following link (English). Applications to be made through the portal of the Italian National Council of Research

Application deadline: 19/02/2023

10 de octubre de 2022

Postdoc de dos años en modelos ecológicos en Viena

Oferta compartida por Cristina


Researcher in ecological modeling



IIASA BIODIVERSITY AND NATURAL RESOURCES (BNR) PROGRAM



The Biodiversity, Ecology, and Conservation (BEC) Research Group, within the BNR Program is looking to recruit a highly motivated and enthusiastic researcher who is interested in applying statistical and data analysis skills in conservation contexts.




background


The BEC research group develops and applies state-of-the art ecological knowledge, methods, and tools to understand ecosystem functioning, ecological responses, and feedbacks in coupled social-economic-ecological systems. The group aims to apply this knowledge and tools to investigate appropriate management options to achieve sustainability goals that have ecological implications and conservation relevance.

One key activity of the BEC group is investigating the impact of agriculture, forestry and other land-uses on biodiversity through advanced statistical modeling techniques. This entails analysing and linking large quantities of spatial data on biodiversity observations, land cover and land uses.

On this topic the BEC group is involved in the following projects, which the incumbent is expected to be involved with:

Forest Navigator is a Horizon Europe project which will develop a new integrated policy modeling framework for the EU forests and forest bioeconomy covering i) all relevant mitigation strategies from forest management to energy and material substitution, ii) climate change impacts, adaptation, and natural disturbances, iii) biophysical climate feedbacks, iv) systematically accounting for impacts on biodiversity, forest ecosystem services, and other forest functions, incl. jobs and green growth. Forest Navigator will make use of real-time data from remote sensing reconciled with National Forest Inventories (NFI) and other field data of unprecedented quality to develop models of species responses to climate and land-use data that, for the first time, will be able to predict the impact of different forest management scenarios for the EU and its member states across multiple scales, multiple interacting drivers and for a large number of taxa.

BrightSpace is a Horizon Europe project which intends to provide an analytical toolbox to experiment, analyse, and coordinate the effects of innovative technologies, governance structures, as well as short- and long-term land-use policies for Europe to operate within a Safe and Just Operating Space (SJOS). The Safe component reflects the bio-physical boundaries of ecosystems and the Just component the requirements for the well-being of the involved people. The BEC group will be collaborating with other world-leading research groups to identify biosphere integrity boundaries for European ecosystems through using theory, data and models related to extinction rates and community intactness.
The role

The incumbent will work within the BNR Program and the BEC Research Group, and in close collaboration with Dr. Martin Jung and Dr. Piero Visconti on developing and applying integrated Species Distribution Models using Bayesian (e.g., Integrated Nested Laplace Approximation and the probabilistic statistical language Stan) and other machine learning approaches (e.g. Gradient Descent Boosting, Bayesian Additive Regression Trees, Neural Networks). The successful candidate should be comfortable working in a multidisciplinary environment, and be excited about interacting with researchers from other domains such as economics, forestry and agronomy to explore how linkages between biodiversity and these sectors can be developed.



tasks and responsibilities
Developing workflows and programming code for modeling of species distributions under global change scenarios, in particular changes in agricultural and forest management
Large geo-spatial data preparation for spatial planning and assessment of protected area effectiveness
Ecological modeling for land use and climate impact assessments
Leading the dissemination of project results via high-quality journal publications and conference presentations
Contribute to the organization of project-related workshops and/or webinars
Support all project partners and group members in the drafting of reports, grant proposals and other scientific outputs as need arises
In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such.




qualifications and experience
PhD or equivalent experience in statistics, computer science, engineering, environmental science, or ecology with experience in using statistical or machine learning methods with large datasets
Fluent in at least one scientific coding language (R, Python, C++). Previous experience in developing scientific software for ecological research (e.g., Python libraries, R-packages) highly desirable
Experience in parallel computing, collaborative coding and version control (e.g., Git) advantageous
Advanced geo-spatial analyses in R. Knowledge of Google Earth engine advantageous
Good understanding of current applied ecology and conservation research are desirable but not essential
Excellent organizational skills, pro-active and results-oriented, and the capacity to deliver on allocated tasks and respond in a timely manner to deadlines
Ability to work independently as well as with an international and multidisciplinary team distributed across different institutions and time-zones
A track record of publishing high-quality scientific research (commensurate to career stage)
Excellent communication skills (both written and oral) in English
IIASA offers an interdisciplinary and international workplace, and the possibility to interact with researchers of different nationalities, with strong ties to a world-wide network of research institutions engaged in environmental systems research. The successful candidate must be able to work in, and have respect for, an intercultural environment, and IIASA core values.





appointment terms


We offer an initial fixed-term, two-year, full-time (40 hours per week) employment contract, with the possibility of extension thereafter. Eligible applicants wishing to work part-time hours will also be considered. The start date is negotiable.

Duties will be carried out at the IIASA premises in Laxenburg, near Vienna in Austria (up to 100 days per year home office working within Austria possible).

The successful candidate will be hired as a researcher (R1) or research scholar (R2) according to their corresponding profile in the IIASA researcher profiles for research careers.
WE OFFER

A minimum gross annual, full-time salary of:

EUR 33,924.00 for R1 researchers

EUR 44,204.00 for R2 research scholars

IIASA salaries are: Exempt from income tax in Austria
Negotiable, based on the qualifications, skills and experience of the selected individual.
Subject to deductions for health insurance and/or social security.
Not directly comparable with other employers in Austria, due to the unique legal status and privileges granted to IIASA.
Subject to the principle of income aggregation (Progressionsvorbehalt in German).
In addition: Educational subsidies for children of school age enrolled in private schools in Austria.
A generous annual leave allowance.
Moving and settlement allowances and paid home leave for employees in scientific and professional categories hired from international locations.
Assistance for newcomers to Austria with visa, work and residency permit applications.
Support finding accommodation in Austria.

Further details here.

9 de octubre de 2022

Mapea las poblaciones de carnívoros de bosques americanos

Oferta compartida por Cristina

Spatial Ecologist – Carnivore Distribution Modeling for Conservation

Position Summary
The Jones Lab at the Rocky Mountain Research Station and the University of New Mexico (https://gavinmjones.com/) is seeking an MSc or PhD-level spatial ecologist to work on mapping the dynamic distributions of a suite of carnivore species in forest landscapes of the American West. The position will be focused on integrating survey, demography, movement, and other auxiliary datasets of Canada lynx, fisher, and marten to map historical and current species distributions in the northern Rockies and fisher in the southern Sierra Nevada. Resulting research will directly inform forest management and climate resilience of a large bioregion. The scope of the position provides strong opportunities for applicants to make rapid career progress on a high-impact problem of fundamental and applied relevance. The individual will have opportunities to work on other projects in the lab and spend time on new research, collaborations, and general career/skill development.

Minimum qualifications are an MSc or PhD in ecology, statistics, computer science, or a related discipline. A successful candidate at the MSc level will be hired as a ‘research associate’, and a successful candidate at the PhD level will be hired as a ‘postdoctoral research associate’. The ideal candidate will have a background applying analytical methods associated with species distribution modeling, working with large spatial datasets, data integration approaches, and experience working on the Google Earth Engine platform. We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a checklist that exactly matches the job description. We want to help you grow and in return, you help us grow into a stronger, more inclusive research group. Strong programming experience is essential; candidates should be proficient using program R, Python, and/or JavaScript.
The individual will be hired through the Biology Department at the University of New Mexico and will be affiliated with the USDA Forest Service – Rocky Mountain Research Station (RMRS). The individual will be supervised by Dr. Gavin Jones (RMRS and University of New Mexico) and will collaborate closely with a team of researchers including Dr. John Squires (RMRS), Dr. Lucretia Olson (RMRS), Dr. Jody Tucker (RMRS), Dr. Helen Chmura (RMRS), Dr. Jessie Golding (Carnegie Mellon), and others. We have a strong preference for a candidate to join our team on-site in Albuquerque. We believe that community is an important part of science, and to this end we are building a local lab community. However, remote or telework options may be considered on a case-by-case basis.
Ideal start date for the position is 1 January 2023, but there is some flexibility here depending on the needs and constraints of the candidate. The position will be funded for a duration of 2 years, with possibility of extension pending funding availability and performance. Starting salary will range from $55,000 to $62,000, depending on qualifications and degree status. Insurance and benefits package included, and we will reimburse up to $5000 in relocation expenses.

How to apply
Email a 1-page cover letter describing your background and interests in the position, a CV, and contact information for 3 references to Dr. Gavin jones (gavinjones@unm.edu). Applications are due by November 1, 2022.

19 de febrero de 2022

Estudia especies invasoras en Hungría y desarrolla modelos predictivos con este postdoc

Oferta compartida por Nuria

Climate change combined with a significant increase in international trade and tourism constitute the main causes behind the emergence of invasive species in Europe, which raise several ecological, epidemiological and economic problems. To understand the biological basis of this threat, we need to uncover the spatial and temporal patterns in association with the introduction and spread of invasive species, and to identify the underlying ecological factors. The fulfilment of these tasks requires the continuous monitoring of invasive species as well as their role in ecological interactions, for which many European country has organised surveillance programs. The Hungarian program run by the Centre for Ecological Research (CER, https://ecolres.hu/en) since 2019 targets three invasive species currently present in the country, and consists of a survey based on citizen science that is combined with subsequent field sampling and laboratory screens for parasites (http://mosquitosurveillance.hu). Based on the accumulated data, we are able to generate reliable and distribution maps in real time, and now an important part of our mission is to identify the environmental factors determining the spread of the focal species, for which we hope to attract a post-doc providing theoretical/statistical inputs. We expect the young researcher to help us effectively obtain and investigate as many predictor variables as possible, create an ecological profile each invasive species, and derive reliable estimates for future distribution dynamics. The new colleague would be in charge of collecting spatially and temporally structured data regarding the potential environmental predictors (e. g. climate, urbanization, demography, road network, habitat type, mosquito control programs, etc.), assigning these data to the available species-distribution patterns by multivariate models (ideally including machine learning), and then using the resulting information to build prediction models.

The post-doc project is founded by the main Hungarian funding body (National Research, Development and Innovation Office). The period of employment is one year, but the position could potentially be extended by an extra year in case of success. Given the covid situation and the theoretical aspects of the project, we offer high flexibility with regard to the working routine and allow remote contribution (while we also welcome group members who can physically join the research team at CER). The allowance will be agreed upon with the relevant union,
the starting date is flexible (but ideally as soon as possible).

As a formal qualification, the candidate must hold a PhD degree (or equivalent). Furthermore, we are looking for candidates with the following qualifications:
  • Background in ecology or in evolution with considerable expertise in statistics;
  • Experience in data mining and handling big data;
  • Experience in performing sophisticated statistical analyses (bioinformatics, machine learning, GIS, networks, phylogenetic models) and/or programming;
  • Experience in building prediction models;
  • Record of an excellent publication output.
Further information may be obtained from László Zsolt Garamszegi, garamszegi.laszlo@ecolres.hu .

Application procedure
Applications must be submitted as one PDF file containing all materials to be given consideration as an e-mail package to nagy.adrienn@ecolres.hu. Please, attach all your materials in English in one file, which includes:
  • Application (motivation letter)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications
  • List of potential references
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

13 de febrero de 2022

Colabora como postdoc en este fantástico proyecto que estudia urbanismo y naturaleza

Oferta compartida por Nuria

The Research Group of Environmental and Applied Botany at the University of Genova, School of Maths, Physics and Natural Sciences, Dept. of Earth, Environment and Life Sciences, Genoa, is recruiting a postdoctoral Research Assistant (m/f/d) to work in the EU-funded research project ECOLOPES, limited to 12 months (100%, approx. 40 h/week, net salary approx. 1600 euro/month).

ECOLOPES (www.ecolopes.eu) is a HORIZON 2020-FET OPEN funded research project proposing a radical change for city development: instead of minimizing the negative impact of urbanisation on nature, we aim at urbanisation to be planned and designed such that nature – including humans – can co-evolve within the city. We envisage a radically new integrated ecosystem approach to architecture that focuses equally on humans, plants, animals, and associated organisms such as microbiota. ECOLOPES will provide the technology that will help to achieve this vision.
The advertised position will be critical in implementing the modelling of population dynamics and resource requirements of plants into the computational architectural tools developed in ECOLOPES.

Your tasks
The post-doc will adapt and parameterize the model FATE-HD, that simulates plant functional groups dynamics based on abiotic filtering, competition for light, and dispersal, etc. Plant traits, related to resource and abiotic requirements (e.g., N-fixation), life-cycle strategies, and human acceptance (e.g., appearance) will be integrated at the plant functional group (PFG) level. PFG dynamics will be spatially and temporally modelled as a function of soil, architecture, abiotic conditions, animals, and human management (e.g., mowing, weeding) using the FATE-HD model.
Specific tasks to be developed:
  • Design relevant Functional Groups for ECOLOPES from the global floras
  • Parameterization of FATE-HD to ECOLOPES Functional Groups (e.g., relations with abiotic constraints, response to disturbances, and simplified demography and dispersal)
  • Integration of the regional and local scales dynamics
  • Running of simulations and adapt or develop post-treatment scripts.
  • Validation of the temporal dynamics using observations
Titles and skills
  • University degree (M.Sc.) and Ph.D. in ecology, biology, environmental sciences, or a comparable field of study
  • Experience in modelling of population dynamics
  • Excellent knowledge of R
  • Experience in quantitative ecology
  • Experience in modelling plant population dynamics
  • Experience in using FATE-HD welcome
  • Interested in interdisciplinary approaches
  • Good language skills (English)
  • Ability to work in a team
Offer
We offer an interesting and challenging job in a motivated international team, at the University of Genoa (Genoa, Italy). ECOLOPES partners are the Technical University of Munich in Germany (leader partner), the University of Genoa in Italy, the Technical University of Vienna, Austria, TECHNION in Haifa, Israel, McNeel Europe, based in Barcelona, Spain, and Studio Animal-Aided Design in Germany. The project team works on various topics, including biodiversity and ecosystem functioning, plant-microbiota interactions, urban ecology. Genoa is an enchanting, small city on the West Coast of the Mediterranean Sea, well connected
to public transports and a perfect starting point to explore Italy.
Working hours are flexible and remuneration is in accordance with the applicable UNIGE regulations.

Details and contact
More details on post-doc enrolment and required documents for application can be found here: https://unige.it/en/ricerca/assegni-ricerca. Call publication by 22nd February 2022 can be available here: Calls for research grants | unige.it Deadline for application: 24th March 2022. 
Please direct questions about the position to Prof. Enrica Roccotiello, Università degli Studi di Genova (enrica.roccotiello@unige.it) and Dr. Isabelle Boulangeat (isabelle.boulangeat@inrae.fr), LESSEM (Ecosystems and Society in Mountains), INRAE of Lyon- Grenoble, Site de Grenoble.

More information about the project can be found at www.ecolopes.org
More information about the Research Group in Environmental and Applied Botany can be found at http://www.distav.unige.it/drupalint/schede-ricerca-eng

11 de agosto de 2021

Posdoc estudiando microclimas forestales en una selva virtual

Oferta compartida por Nuria

Ecosystems cannot be understood through piecemeal studies of their individual components. As a Postdoctoral Research Associate in Forest Microclimate, you will be part of an attempt to generate a synthetic, systems-level understanding of how a tropical forest ecosystem operates. We are building a team to create a virtual rainforest: a general ecosystem model replicating the physical and biotic components of the ecosystem and their interactions, with a view to understanding system-level emergent properties.

You will be responsible of developing a process-based simulation of the physical environment in a tropical rainforest ecosystem, that will be one of four modules that together will form the virtual rainforest (the others are plants, animals and soil microbes). Your simulation will be based on inputs of local topography, macro and regional climate from atmospheric circulation models, and dynamically updated vegetation structure from the plants module, from which it will need to predict spatial and temporal variation in microclimate (e.g. air and soil temperature, soil moisture, vapour pressure deficit), vertical profiles of wind speed and canopy temperature, and, ideally, streamflow (e.g. base flows, flood frequency and magnitude).

Your primary role will be to develop the physical environment module of a virtual rainforest simulation, and you will be assisted in this by additional team members. The project provides a generous budget for
placements and secondments to collaborate with research groups beyond our own. The virtual rainforest will rely heavily on data collected from the SAFE Project (www.safeproject.net), and you will be required to help with the management of these datasets. All team members will be expected to help develop the skills and competencies of their peers through the sharing of tasks and knowledge, and you will be given time, resources and encouragement to pursue your professional development.

We specifically encourage female applicants and applicants from underrepresented groups in STEM subjects. We also welcome applications from candidates that would like full-time or part-time positions on this project, and will explore job-sharing arrangements should that be appropriate.

Applicants from any climate, physics or ecological background are encouraged to apply. You will be one member of a core team of five people, across which we are seeking team members who provide complementary technical skills and disciplinary knowledge. Programming experience - preferably in Python - is essential, and experience with either process-based or numeric simulation modelling is desirable.

This position is full-time and fixed term until 30 September 2024, and will be based at Imperial College London's Silwood Park Campus.

To apply, visit https://www.imperial.ac.uk/jobs/description/NAT00971/research-associate-forest-microclimate, or go to www.imperial.ac.uk/jobs and search by the job reference NAT00971. The deadline for applications is 30-Aug-2021.

Applicants will need to complete an online application, including a CV and cover letter. Cover letters should make clear what disciplinary knowledge you possess, and what subset of the skills required for the whole team that you would bring.

Should you require any further details on the role please contact: Prof. Rob Ewers - r.ewers@imperial.ac.uk. Informal enquiries are welcomed.

2 de agosto de 2021

Oferta de doctorado muy potente para trabajar en conservación

Description

The Escobar lab is searching for a highly motivated graduate student for a fully funded PhD position in the area of distributional ecology for a research project on topics that include remote sensing, landscape ecology, fieldwork in Virginia, and spatial modeling in a project to model the habitat of the bog turtle, a highly endangered species. Preference will be given to candidates with evident passion for these topics and quantitative and writing skills. In addition to research work, responsibilities will include acquiring teaching experience, raising extramural funding experience, and mentoring of undergraduate students. 


The position is based within Dr. Luis Escobar laboratory in collaboration with Dr. Carola Haas and Dr. Emmanuel Frimpong in the Department of Fish and Wildlife Conservation, College of Natural Resources and the Environment, the No. 1’ranked natural resources program in the U.S. (by USA Today) for four years running. The Escobar group is highly collaborative and works with researchers in universities across the U.S. and abroad. This position includes full tuition, 12-month salary support, and fieldwork. Minorities and underrepresented groups in STEM are encouraged to apply.


Virginia Tech’s main campus is located in Blacksburg, Virginia, in the heart of the Blue Ridge Mountains. The New River Valley offers the charm of a small town combined with the modern conveniences of a metropolitan area. The thriving community boasts a plethora of unique and chain restaurants and stores, symphonies, theatres, historical attractions, museums, a vibrant night-life, sporting events, outdoor recreation activities, and a temperate climate. We have mountains to the west, the ocean to the east, and Washington D.C. to the north.


Required Qualifications 

  • A prior MS in wildlife conservation, ecology, geography, statistics, remote sensing or any biological sciences or natural resources field. 

  • The Escobar Laboratory has a long history of multidisciplinary research. Students from diverse academic backgrounds (e.g., biology, statistics, engineering, or related fields) with interest in joining the lab are encouraged to apply.

  • Applicants must have a strong work ethic; quantitative, oral, and written communication skills; high attention to detail; the ability to work independently and collaboratively within a culturally diverse team. 


Preferred Qualifications

  • Experience working with satellite-derived data and/or spatial statistics

  • A track record of scientific publications. 

  • Interest to develop the capacity to work long hours in the field capturing cryptic reptiles


To apply

Send a single pdf file including: 1) a cover letter of no more than two pages that highlights your skills and expertise, research interests, interest in graduate school, career plans, and why we should consider your application; 2) curriculum vitae; 3) unofficial transcripts; 4) sample of scientific writing (e.g., a manuscript in preparation, thesis, published manuscript as the first author); and 5) contact information for 3 references who have worked closely with you and can explain your research skills and interests. Application consideration will begin on August 15, 2021 and will continue until the position is filled. References will only be contacted after applicants are notified. Formal application through the graduate school will eventually be required but we will request application from the selected candidates.


Contact Person

Contact Dr. Luis Escobar at escobar1@vt.edu for additional questions and to submit your application.


Website

https://fishwild.vt.edu/faculty/escobar.html 


14 de junio de 2021

Selección sexual y dinámica de poblaciones en ácaros: post-doc de tres años en Polonia

Oferta compartida por Nuria

Post-doc position in evolutionary biology is available for three years, preferably starting October-December 2021 but subject to negotiations, in a project “Sex, aggression and ecology – how sexual selection alters population dynamics?”. This collaborative project is led by Jacek Radwan (Adam Mickiewicz University, Poznan), Rob Knell (Queen Mary University, London) and Tom Cameron (University of Essed), and is funded by Polish Science Centre (NCN).

Project summary: 
In recent years an increasing awareness that sexual selection may play a crucial role in larger scale processes such as adaptation to altered environments and population persistence has developed, but empirical support for this role is extremely inconsistent. The aim of the proposed project is to resolve this inconsistencies by using a combination of simulation modelling and laboratory experiments. Laboratory experiments investigate the effects of sexual selection on a variety of ecologically important variables and on population dynamic behaviour. We will use an experimental system that is uniquely suited for this purpose, the soil mite Sancassania berlesei, which can be readily cultured and manipulated in the lab and is male-dimorphic with respect to sexually selected weapon. The proportion of armoured, aggressive males in the population can be easily manipulated experimentally, which allows varying the strength of sexual selection. We will test whether (i) sexual selection interacts with population size in determining population dynamics and persistence in face of environmental population and (ii) whether sexual selection affect carrying capacity and if it interacts in this respect with environmental complexity. Theoretical work will examine how the effects of different mating systems impact on the overall effects of strong sexual selection, and will explore the ecological effects of sexual selection in a wide range of scenarios.

The post-doc will be will be responsible for the experimental evolution part, but will also contribute to model development. The candidate should hold PhD degree in biological sciences and should have significant achievements in evolutionary biology or ecology as documented by publications in international scientific journals. S/he should be able to work well as part of a team, have good planning, analytical, statistical and writing skills. and should be ready to work hard in the field.

Further information about the project and application procedure can be obtained from the project leader via email: jradwan@amu.edu.pl

15 de marzo de 2021

Posición de investigador en modelización ecológica aplicada a especies marinas

Oferta compartida por Nuria


AZTI es un centro científico y tecnológico que desarrolla proyectos de transformación de alto impacto con organizaciones alineadas con los ODS 2030 de Naciones Unidas. Nuestro propósito es impulsar un cambio positivo para el futuro de las personas, contribuyendo a una sociedad saludable, sostenible e íntegra.

Nos especializamos en el medio marino y la alimentación para aportar productos y tecnologías de vanguardia y de valor añadido basados en ciencia e investigación sólida. Con 40 años de experiencia y una trayectoria avalada por más de 1.316 publicaciones indexadas, fundamentamos nuestra excelencia en nuestro personal investigador, del cual 58% son doctores. Contamos, además, con presencia en 45 países, tres sedes en el País Vasco y un equipo de más de 280 empleados.

AZTI es miembro de Basque Research and Technology Alliance (BRTA), una alianza formada por cuatro centros de investigación colaborativa y 12 centros tecnológicos que busca estimular la colaboración entre las organizaciones que la integran, reforzar las condiciones para generar y transmitir conocimiento a las empresas con la intención de contribuir a su competitividad, dinamizando el tejido industrial y proyectando la capacidad científico-tecnológica vasca en el exterior.

FUNCIONES:
La persona seleccionada se incoporará como investigador/a y colaborará en el área de Funcionamiento de ecosistemas marinos dentro del área de conocimiento de modelización del hábitat de especies marinas

QUÉ BUSCAMOS DE TI
Buscamos persona apasionada en este área de conocimiento. Una persona positiva, con iniciativa, autónoma, resolutiva, con capacidad analítica y que le guste afrontar retos.
Un profesional que sepa priorizar y gestionar varios proyectos simultáneamente.
Con experiencia previa demostrable en las áreas de modelización ecológica.

REQUISITOS GENERALES:
Doctorado en biología, CC del Mar, CC Ambientales, matemática, física o en un campo relacionado con la temática del puesto.

REQUISITOS ESPECÍFICOS:
  • Conocimiento y experiencia en modelización del hábitat de especies marinas.
  • Experiencia en programación en lenguaje R.
  • Excelentes habilidades de escritura y comunicación oral.
  • Buen nivel de inglés hablado y escrito.
SE VALORARÁ:
  • Experiencia en análisis de series temporales y datos oceanográficos.
  • Conocimientos de ecología marina y los efectos del cambio climático.
  • Publicaciones Científicas relacionadas con la modelización ecológíca.
  • Trayectoria de investigación y becas de investigación anteriores.
  • Disposición para la búsqueda de nuevos proyectos o líneas de investigación financiable externamente.
  • Flexibilidad y orientación al cambio de demandadas tanto por el entorno como por la ejecución de tareas pertenecientes a distintos proyectos simultáneos.
  • Orden y rigor en la ejecución de proyectos.
  • Innovación y Creatividad.
  • Capacidad de comunicar con precisión.
  • Perseverancia y energía.
  • Disponibilidad para viajar (asistencia a reuniones de coordinación, grupos de
  • trabajo, etc.).
  • Predisposición para la formación continua.
  • Experiencia en diseño y gestión de proyectos
  • Contacto con grupos de trabajo internacionales
  • Capacidad de trabajo orientada a resultados.
  • Carnét de conducir.
https://careers.talentclue.com/es/node/69409088/4590

Perretes, GIS y genética: postdoc en landscape genomics y ecological modelling del género Canis

Oferta compartida por Nuria

A postdoctoral position in landscape genomics and ecological modelling is now open in a research group led by Dr Małgorzata Pilot at the Museum and Institute of Zoology of the Polish Academy of Sciences. The research group studies microevolutionary processes in mammalian populations using genetic and ecological approaches. We look for a person experienced with landscape genetics/genomics methods and GIS-based modelling to join a project focused on evolutionary consequences of hybridization among species from the genus Canis across Eurasia. The position is available for three years, from July 2021. The research group is based at the Research Station of the Museum and Institute of Zoology (MIZ), Polish Academy of Sciences in Gdańsk, Poland.

Work description
This position will involve the analyses of environmental data on canid populations across Eurasia using GIS and environmental association analyses for genomic datasets, as well as participation in the supervision of PhD students and contribution to administrative tasks associated with research projects. The successful applicant will be expected to contribute to grant applications submitted by the group, and will be encouraged to apply for independent funding available for early career researchers. The postdoctoral researcher will thus have the opportunity to propose and explore new research questions within the general remit of the research group.

Requirements

The candidates for this position must hold a PhD degree in biological sciences, environmental sciences or a related discipline, and have experience in landscape genetics and/or ecological modelling using GIS. The selected candidate should have no more than 7 years of postdoctoral experience at the start time of the employment; maternity leaves and career breaks associated with health problems are not included in this 7-year period. Candidates who do not hold a PhD degree yet, but have an established date of the PhD thesis defence/viva can be also considered. However, holding a PhD will be required at the time of the job commencement.
The ideal candidate should have the following skills:
  • good knowledge of ecological modelling using GIS;
  • good knowledge of landscape genetics/genomics;
  • ability to work independently and as a part of an interdisciplinary research team;
  • experience with scientific writing, evidenced by an authorship of at least one research paper as a first author (which will be evaluated in the selection process);
  • fluent knowledge of English.
Desirable skills include:
  • experience with statistical analyses of biological or environmental data;
  • knowledge of a programming/scripting language (e.g. R, Python);
  • experience of working in interdisciplinary research teams.

Research environment
The research at the MIZ is focused on a broad range of themes in animal biology, including systematics, biogeography, evolutionary biology, ecology and population genetics. Małgorzata Pilot's research group is part of the Laboratory of the Molecular and Biometric Techniques led by Prof. Wiesław Bogdanowicz, grouping researchers focused on molecular ecology, phylogeography and evolutionary genomics of a broad range of animal taxa. MIZ laboratories contain modern equipment for genomic analyses, including Pacific Biosciences RSII long-read sequencer and Illumina MiSeq System. The state-of-the-art ancient DNA laboratory carries out work on mammalian palaeogenetics. The Museum's zoological collection is among the largest and most valuable in Europe.

Employment conditions
Employment period: 36 months, subject to a 3-month probation period.
Start date: 1 July 2021. The salary is funded by the Polish National Science Centre.

Documents required in the application

  • Copy of a PhD certificate
  • Curriculum vitae including the publication list, with the following statement provided at the end and signed: "Based on Directive of the European Parliament and Council (European Union) nr 2016/679 from 27 April 2016 on the protection of individuals in relation to the processing of their personal data and free flow of such data, and the repeal of the directive 95/96/WE (L 119 from 4.05.2016), I agree on the processing of my personal data included in this job application for the purpose of the recruitment process." Applications that do not include this statement won't be considered.
  • Motivation letter (maximum one A4 page)
  • A copy of one research paper to be evaluated in the recruitment process
  • Contact details of two persons who can be contacted for references.
These documents should be sent to Małgorzata Pilot (mpilot@miiz.waw.pl) no later than 31 March 2021. The title of the message should be "Application for a postdoctoral position in landscape genomics". Informal inquiries can also be addressed to Małgorzata Pilot.
Shortlisted candidates will be invited for an interview, which will take place in April via Skype.

16 de enero de 2021

Posición permanente como investigador en hidrología

Oferta compartida por Nuria


Opening of a permanent research position "Aquatic community ecology under global change" at INRAE Lyon, in the EcoFlowS team (https://ecoflows.inrae.fr/) of the RIVERLY research unit (https://riverly.inrae.fr/). 

Position description:

The RiverLy research unit combines hydrology, hydraulics, ecology, ecotoxicology and environmental chemistry to understand the ecological functioning and dynamics of river networks and guide their management. More specifically, the EcoFlowS team explores multi-scale eco-hydrology to understand and quantify ecological responses (eg. populations, communities, ecological processes) to different habitat proximal variables (eg. hydrology, hydraulics, sediments, temperature, dissolved oxygen, contaminants), natural or under human influences. This knowledge is used to support the management of river networks, including their biomonitoring and restoration. 

In the EcoFlowS team, you will model community responses (including taxonomic, functional or molecular approaches) to global change to develop innovative strategies to manage and protect river networks. In line with the scientific project of RiverLY, your research will integrate the local-scale effects of habitat drivers identified through mechanistic approaches into large-scale (from regional to international) models of biodiversity and ecosystem responses to environmental stressors associated with global change. You will test theoretical hypotheses from community ecology integrating the most recent conceptual (eg metacommunity theory, spatial ecology) and methodological (eg spatial statistical modelling, process-based models of dispersal) developments. You will quantify resistance and resilience capacities of aquatic communities to global change, accounting for the dendritic nature of river networks and their natural (eg drying) and anthropogenic (eg dams) fragmentation. To do so, you could use existing regional (eg LTER platforms, Water Agencies), national (eg French Biodiversity Office) and international (eg open-access databases) datasets, as well as the rich datasets available at EcoFlowS (eg Rhone river restoration monitoring, intermittent rivers database, glacial streams).

In RiverLY, your research will interact with other disciplines from the different research teams to integrate the ecological effects of various physical and chemical environmental factors. Thanks to this multidisciplinary context, you will lead projects to conserve, restore and manage riverine biodiversity under global change in line with national and EU legislations. Last, you will contribute to animating, programming and evaluating research within local research groups, as well as developing regional, national and international collaborations.

Requirements:
  • Holding a PhD in aquatic ecology
  • Strong international postdoctoral experience in modelling biological community responses to global change. 
  • During your career, you combined taxonomic, functional and/or molecular approaches from catchment to national or international scales, preferably on aquatic macro-invertebrates, but open to other biological groups such as fish. 
  • Skills in statistical modelling and data mining, you like working in a very collaborative and multi-disciplinary environment. 
  • Excellent oral and written communication skills and demonstrated leadership abilities in multidisciplinary and highly visible projects.
  • You are fluent in English and must hold a long-time international experience abroad.

The position will be officially open by the end of January. Do not hesitate to contact Thibault Datry (thibault.datry@inrae.fr) for more information 

13 de enero de 2021

Postdoc estudiando el efecto que tienen las hibridaciones a través de modelos

Oferta compartida por Nuria

The Division of Theoretical Ecology and Evolution at the University of Bern, led by Claudia Bank, is looking for an Advanced Postdoc in Ecological and Evolutionary Modeling of Hybridization (50-100%) to be part of a team working on the collaborative HFSP-funded project “Chance or curse? The consequences of hybridization in a changing world” (see also the simultaneous postdoc opportunity in Vitor Sousa’s lab at the University of Lisbon, https://bit.ly/OpenCall-EG-cE3c-Dec2020).

Once thought to be rare, we now know that hybridization is quite common. There has been a longstanding debate about the importance of hybridization because it can have both beneficial and harmful effects. By creating new phenotypes, hybridization can help organisms adapt, but it can also drive extinction by generating harmful combinations of genes. Past work has proposed that in stressful environments, the benefits of hybridization may outweigh the costs, but this idea has not been clearly tested. Understanding these dynamics has become more pressing as rates of hybridization have increased due to the stresses of rapidly changing environments. In collaboration with Drs. Molly Schumer, Chelsea Rochman, and Vitor Sousa, we will combine diverse and multidisciplinary expertise to tackle fundamental questions about the consequences of hybridization via field observations, laboratory experiments, computational tools, and mathematical models.

We are looking for a postdoc with proven expertise in ecological/eco-evolutionary modeling, preferably with at least 2 years of postdoctoral experience. They will develop models and approaches to predict the outcomes of hybridization by incorporating interacting and selected genetic loci into ecological models of hybrid populations in isolation or in a spatial environment. The ideal candidate is open to exploring both mathematical approaches and large-scale simulations that take into account ecological variables in order to quantify extinction probabilities and other evolutionary outcomes. In addition to independently developing this project, the desired candidate is keen to contribute their expertise to other projects in the lab (and in the collaborative team) and open to mentoring occasional undergraduate and Masters students with interest in the topic.

We provide a dynamic and interdisciplinary work environment within the research group (Division of Theoretical Ecology and Evolution, former Evolutionary Dynamics Group), within the Institute of Ecology and Evolution in Bern (https://www.iee.unibe.ch/), and within the collaborator team (Molly Schumer, Stanford University, https://schumerlab.com/; Chelsea Rochman, University of Toronto, https://rochmanlab.com; and Vitor Sousa, University of  Lisbon, https://ce3c.ciencias.ulisboa.pt/member/vitorsousa). If desired by the candidate, short or mid-term visits of the collaborator labs are encouraged, and the candidate is expected to present and discuss their work at international workshops and conferences. The salary will be commensurate with qualifications and experience, according to the University of Bern statutes. Funding for this position is currently available for 3 years. Our lab philosophy includes open communication, regular individual meetings and evaluation of mentoring and career development needs, and prioritising the well-being of all lab members.

Contact and Application
If interested, please send a complete CV, a motivation letter explaining the fit for the position, and the desired starting date (<1 page), a statement of research interests and approaches (<1 page), and names of 3 referees by email as a single pdf file to claudia.bank@iee.unibe.ch. Evaluation of the applications will begin immediately and continue until the position is filled, with a desired starting date as early as possible. Following the University of Bern’s policy, it is expected that the candidate relocates to Switzerland in time for the starting date of the position.

14 de diciembre de 2020

2 post-docs en un proyecto H2020 sobre ríos intermitentes y arroyos efímeros

Oferta compartida por Nuria


The EU H2020 project DRYvER (Securing biodiversity, functional integrity and ecosystem services in DRYing riVER networks, www.dryver.eu, @DRYVER_2020) models the response of carbon-related ecosystem functions in DRNs, namely greenhouse gas emissions, and underlying processes such as decomposition of terrestrially derived dissolved and particulate organic carbon, ecosystem respiration and gross primary production. To achieve a mechanistic description of ecosystem functioning in DRNs with predictive capacity, DRYvER exploits a dynamic meta-system framework that accounts for the dynamics of organic carbon resources, their transport and processing, along with the relationships with biodiversity and particular key species.

The aim of the DRYvER is to collect, analyse and model data from nine case studies in Europe and South America to create a novel global meta-system approach that incorporates hydrology, socio-economics, ecology and biogeochemistry. Another goal of DRYvER is to develop strategies, tools and recommendations for adaptive management of river networks. Working in collaboration with resource managers and citizens, the DRYvER team plans to codevelop new strategies to mitigate and adapt to the effects of climate change on these networks by integrating quantitative and qualitative perspectives, including nature-based solutions with a strong socio-economic and legislative component. DRYvER’s findings, which should be available in 2024, will contribute to meeting the objectives of the Paris agreement and put Europe at the forefront of climate change research.

2 post-doc positions are open within the DRYvER project, whose descriptions are here and there.

The first one will develop a spatially-explicit dynamic meta-ecosystem model for drying river networks that is capable reflecting space-time variability in biodiversity patterns, organic matter resource flows and C-related ecological functions in a fragmented, dendritic context. Opened for 18 months at INRAE, Lyon, France it can be followed by an 18 months-position based at ICRA, Catalonia, Spain, to calibrate the model with empirical data from 6 case studies across Europe in an upscaling perspective to derive climate-change scenarios at the European scale.

The second one will propose a methodological framework to identify and assess the contribution of abiotic and biotic controls on GHG emissions from drying river networks. This framework will be applied to empirical data collected across 6 case studies in Europe to produce climate-driven scenarios at the European scale. The position is opened for 24 months and will be based at the Laboratory of Alpine Ecology, Grenoble Alpes University, France.

Both will be based in a very friendly and highly-collaborative environment. Review of applications will begin in December 2020 / January 2021 and will continue until the position is filled.
For more information on how to apply go to the position's description (see above)

6 de noviembre de 2020

Doctorado en Alemania estudiando interacciones acuático-terrestres


Oferta compartida por Nuria

The Faculty 7: Natural and Environmental Sciences invites applications for a doctoral research position (PhD student, 65% EG 13 TV-L) at the Institute for Environmental Sciences at the Campus Landau/Pfalz, Germany. The contract will start on January 1st, 2021 as part of the PhD project: Meta-ecosystem modelling of aquatic-terrestrial bottom-up interactions and is subject to the German lawon fixed-termcontracts in science (WissZeitVG). Salary will be according to 65% of the German public service salary scale TV-L 13.

Topic:

As part of the research training group SystemLink - Crossing boundaries: Propagation of in-stream environmental alterations to adjacent terrestrial ecosystems funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – GRK2360, the iES Landau, Institute for Environmental Sciences, University Koblenz–Landau, Campus Landau, Germany offers 1 doctoral research position (PhD student) for 3 years from January 2021. As member of the SystemLink research training group, you will work in a team of young and ambitious researchers with access to state-of-the-art equipment and experimental facilities.

This project will focus on the flood-mediated effects of stressors such as aquatic micropollutants and invasive species on terrestrial recipient communities. The work involves a review of meta-ecosystem models, and the subsequent development of a model, which will include the above-mentioned stressors. The model should consider biogeochemical cycles, soil physical properties, ecosystem functions, and riparian bottom-up plant-herbivore trophic interactions. Once empirical data are available, the model will be used to test the hypothesis that environmental stressors destabilize the dynamics of the riparian trophic system via bottom-up effects. Moreover, the project will work in close cooperation with an ecological modelling project on top-down effects.


Requirements:

You are the right person for this project if you are interested in biogeochemical modelling and/or quantitative ecology and you have previous knowledge in process-based environmental modelling, applied mathematics or data analysis. You should be open to conduct own empirical work and to contribute to joint experimental studies. Additionally, fluent English talking and writing skills as well as strong motivation to work in teams, to publish research articles, and to finish a PhD thesis withinthree years is needed. Biology, Physics, Mathematics, Chemistry (and similar) degrees will be equally considered.

Women with equivalent suitability, competence and professional performance will have preference for employment as far as and for as long as an underrepresentation exists. This is not the case if there are such serious reasons of an applicant that are above the principle of equality of women.

Disabled candidates are given priority, if equally qualified (please attach a proof).

For further details on the SystemLink research see the website https://systemlink.uni-landau.de/ or contact the speaker of SystemLink, Prof. Dr. Ralf Schulz (schulz@uni-landau.de) or the supervising scientist of the position, Dr. Alessandro Manfrin (manfrin@uni-landau.de).

Please send your applications (1 pdf file, max 10 MB) with a 1-page letter of motivation, a CV and a list of publications/presentations, a reference letter from a mentor and degree certificates until 30.11.2020 via email to bewerbung@uni-koblenz-landau.de Please make sure to mention your name and the reference number 84/2020 in the subject line of the email. Potential candidates will be contacted for an online or physical meeting.

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