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1 de diciembre de 2020

Al final me voy a terminar mudando a Ciudad del Cabo: otra oferta interesantísima para jugar con datos durante la semana e irte de safari los findes


RESEARCH OFFICER (3-year contract) 

Centre for Statistics in Ecology, Environment and Conservation DEPARTMENT OF STATISTICAL SCIENCES FACULTY OF SCIENCE  

The centre for Statistics in Ecology, Environment and Conservation (SEEC, in the Department of Statistical Sciences, University of Cape Town, is looking for a Junior Research Fellow to pursue a research programme at SEEC for three years. 

Possible research focus areas include: 

Impact of climate change on biodiversity. 
Understanding the effect of climate change on biodiversity is a key research theme at SEEC. We have long-standing expertise and strong international collaborations in population ecology, occupancy and species distribution modelling, functional ecology and macroecology. 

Data pipelines. 
With the ever-increasing availability of exciting new data streams, there is a huge need to establish transparent and reproducible workflows that extract decision-relevant information from raw data based on rigorous statistical analyses. SEEC has made a strategic decision to invest in this area, and we have established a partner network that includes the people who collect the data and those who inform decision and policymakers. We are particularly excited about the prospect of using these pipelines for near-term ecological forecasting. Examples include pollen forecast in collaboration with UCT’s lung institute, and bird population trends for SANBI and the Department of Environment, Forestry and Fisheries. 

Environmental decision-making. 
With the increasing human footprint, there is an increasing need to base environmental decisions on evidence and a transparent decision-making process. SEEC has experience with population assessments, habitat classification and also with Structured Decision-Making tools that take into account stakeholders’ values. 

Machine learning in ecology.
 Ecological data often take the form of images, audio, or video recordings that need to be annotated to be used in scientific research. As the amount of ecological data collected in this way increases, manual annotation is becoming a major bottleneck for research. Our machine learning research is developing computer-assisted approaches to facilitate the labelling of ecological datasets. The next step will be to combine machine-learning algorithms with statistical modelling, e.g. with the models we have developed for acoustic monitoring of animals or with time-series models of remote-sensing data. Other research programmes that fall within SEEC’s research ambit will also be considered. The successful candidate could either be a statistician with an interest in ecology / environmental science, or an ecologist / environmental scientist with strong quantitative skills. 


• A PhD in quantitative biology, statistical ecology, or related discipline; and relevant post PhD research experience (minimum two years but exceptions can be considered);
• Track record of independent research that has led to publications in high-standing journals; 
• Strong data analysis skills using the R statistical environment; 
• Ability and commitment to working as part of a diverse team; 
• Excellent leadership and communication skills; and 
• Track record or potential in raising funds. 

The annual award is R658 000 (for up to three years) that will cover salary plus computing and research expenses. Split is negotiable. 

To apply, please e-mail the below documents in a single pdf file to Ms Natasha Khan at 

• UCT Application Form (download at
• Cover letter and Curriculum Vitae (CV) including publication list 
• Statement of research interests and proposed research programme that you will follow if you are the successful candidate 

Please ensure the title and reference number are indicated in the subject line. 
An application which does not comply with the above requirements will be regarded as incomplete.

Telephone: 021 650 3469 
Reference number: E200346 

Closing date: 18 December 2020 

UCT is committed to the pursuit of excellence, diversity and redress in achieving its equity targets. 
Our Employment Equity Policy is available at 

UCT reserves the right not to appoint.  

30 de noviembre de 2020

Director of Conservation Science (Southampton NJ, USA)

The Pinelands Preservation Alliance (PPA), a non-profit organization

devoted to the preservation of the New Jersey Pinelands, seeks an
individual with substantial scientific training to serve as Director
of Conservation Science. This position offers an exciting opportunity
for a highly-motivated individual to work with colleagues and
volunteers to save an extraordinary and threatened ecosystem.

The Director of Conservation Science will conduct research and make
presentations to public agencies on science, policy and development
issues; work with other scientists, environmental groups and agencies;
help plan and carry out restoration projects; conduct scientific tests
and surveys; and help educate the public about the unique values of
the Pine Barrens ecosystem by leading field programs, giving talks and
representing PPA at meetings and conferences.

PPA operates a 72-acre chemical-free farm, Rancocas Creek Farm, where
the Director of Conservation Science will take a leading role in
planning for sustainable land management, the stewardship of grassland
and other habitats, and scientific monitoring of soil health.

Candidates for this position must have an advanced degree in a
relevant scientific field, such as biology, botany or ecology. It will
be necessary to have or to develop expertise in Pinelands ecology,
botany and wildlife, to enjoy working outdoors.

Please email a cover letter and resume to

Postdoc de 3 años en agricultura digital (flipa!)

 The Crop Science Group within the Institute of Crop Science and Research Conservation (INRES) at the University of Bonn is offering a

Post-Doc position (E13 TV-L / 100%)

for a period of up to 3 years. The Crop Science group at University of Bonn has a strong focus on de-veloping dynamic, process based models for crop and agroecosystem management. The models are used among others to predict impacts of climate or management changes on crop production as well as ecosystem services provision by agricultural land. A central tool of the research activities is the modelling platform SIMPLACE ( In addition, the group is involved in teaching within the BSc course Agricultural Sciences as well as several MSc courses (Crop Science, Agricultural Research in the Tropics and Subtropics, Nature Protection and Landscape Ecology). The Post-Doc will participate both in teaching and research activities.

Your tasks:     
•Development of model sub-routines within the SIMPLACE modelling platform
•Developing your own field of research related to model applications in cropping systems and digital agriculture
•Quality assessment of model routines
•Teaching in BSc and MSc courses
•Supervising graduate and under-graduate students related to our field experi-ments
•Publishing in peer reviewed journals and presentations at conferences

Your profile:   
•An excellent PhD degree in agricultural sciences, soil sciences, informatics or disciplines related to digital farming
•Experience in developing dynamic, process-based models
•Familiar with at least one object-oriented programming language

We offer:       
•Working at a German University of Excellence
•An open, stimulating work environment promoting inter-disciplinary research
•Participation in a Cluster of Excellence and in other on-going research projects
•The opportunity of conducting innovative research in the area of agro-ecosystems modelling and digital farming
•100% TVL E13 on the salary scale

The position will be located at the University of Bonn in the West of Germany. Applicants with more than three years of experience in scientific research may be eligible for additional upgrades. Ideal starting date of the position would be February 2020.

The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university and aims to increase the number of women employed in areas where women are under-represented and to promote their careers. To that end, it urges women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). Applications from suitable candidates with a certified disability or equivalent status are particularly welcome. Applications (CV including diploma certificates/transcripts, list of publications, statement of research interests and achievements, addresses of two references) should be sent via E-Mail until 15 December 2020 to
Dr. Thomas Gaiser and Prof. Dr. Frank Ewert (Email: with all documents in one PDF file. For further information concerning our research group you can visit our website at

Oferta de postdoc estudiando la capacidad de aprendizaje de insectos y su adaptación a ambientes cambiantes

Oferta compartida por Nuria

We are looking for highly motivated candidates to apply for a 2 to 4-year postdoctoral position, funded through UCLouvain university ("Action de recherche concertée"), in the laboratory of Prof Caroline Nieberding (, UCLouvain, Belgium).

Animals were long thought not to learn. Over the years research has, however, revealed that most animals do learn to some extent. This paradigm shift has led to the hypothesis that learning is a form of behavioural plasticity that participates to rapid adaptation of natural populations in nature, in response to human induced habitat degradations. Yet, the adaptive value of learning remains rarely quantified so far. This project will quantify the adaptive value of learning in the field in a number of butterfly species facing increasing reduction and fragmentation of suitable habitats. Butterflies are flagship and bioindicator species of the quality of European natural habitats, and we have occurrence data spanning several decades. This project aims at providing one of the first field-based estimates of the selective value of learning for a key behavioural trait, oviposition site selection (“OSS” hereafter). OSS is key to colonisation of suitable habitats in butterflies, the larvae of which have only a low mobility. As learning is costly, we expect that increased learning and memory skills are correlated to reduced survival and/or egg production and we will quantify potential trade-offs associated with learning and memory.

The postdoctoral research will include experiments in the field in Belgium and ecologically-relevant experiments in the laboratory, where field-caught animals can be monitored. The ideal candidate for this position will have a strong background in behavioural ecology, statistical analyses, expertise in butterfly ecology and a capacity for creative and critical thinking. The candidate will have opportunities to learn some of the specific skills required for the project by our network of national and international collaborators. Applicants should hold a PhD diploma. The deadline for applications is December 15th, or until the application is filled. 

The salary will be around 2000 euro netto per month plus benefits (health insurance,…) which are included in the Belgian system. Our University is an Equal Opportunity/Affirmative Action Employer, and is in a French-speaking region of Belgium, but the language for meetings and scientific interactions is English. For background information about our university, see

Applications should be sent to Prof. C. Nieberding ( 
Applications will include: 
  1. a motivation letter including a statement of interests; 
  2. full CV including list of publications;
  3. Contact details of at least 2 referees. 
Informal inquiries are welcome. More info on the duration of the project can be obtained by contacting C. Nieberding directly. We will start reviewing applications as they arrive until the appropriate candidate is selected, and the project will be starting in Spring 2021.

Postdoc investigando riesgo de extinción en aves combinando análisis de ADN histórico y muestras actuales.

Oferta compartida por Nuria

A postdoc position is available to work on historical DNA from bird sub-fossils, museum skin specimens and fresh samples to develop a novel real-time assessment of genetic response to anthropogenic environmental change across multiple bird species following first human arrival in a pristine environment. The time series is designed to examine the long-term processes leading to variation in extinction risk between closely related species, comparing differences in demographic and selective responses to common environmental changes.

The position is part of the project "Suscept-Ext: Understanding susceptibility to extinction using historical museum series as a genetic time series", funded by the French National Research Agency (ANR), that links competences of two research centres in France. In Toulouse, the UMR AMIS is among the leading laboratories worldwide in ancient DNA studies, and will be the postdoc's base for the historical DNA guidance and wet-lab work. In Paris, the French National Museum of Natural History (MNHN) houses important specimens for the study, and is also home to expertise in genome-wide demographic analyses and method development, as well as in links between extinction risk, evolutionary history, and the study set up.

The ANR project comes with funding for three years of postdoc salary, and some flexibility is possible in the recruit's time allocation between Toulouse and Paris over this period.

Evolutionary history is expected to play a major role in determining which species decline in population size to extinction in response to environmental change, but the processes by which this comes about are poorly understood. Although population genetic studies provide much promise to understand the microevolutionary processes behind macroevolutionary patterns of extinction risk, inferences can be limited by our confidence in the timescales inferred, and by the scale of such studies, which frequently include only one lineage. As a key-player in project ANR Suscept-Ext, the postdoc will tackle both of these issues, applying ancient DNA methods to museum (historical & subfossil) samples to obtain a genome-wide time series for multiple Mascarene island bird lineages that differ in abundance and other biological traits. Islands in the Mascarene archipelago (Mauritius & Réunion), Indian Ocean, are unusual among sizable and biologically diverse landmasses worldwide, in that they had no human population until European arrival 400 years ago. Therefore, there exist museum samples and subfossils spanning the full duration of anthropogenic environmental change, allowing a real-time assessment of genetic response to environmental changes of known timing and across multiple species following first human presence.

Major goals for the postdoc include:
  1. as a top priority, developing a working protocol and obtaining reliable genome-wide data from a variety of bird historical DNA samples, including museum skins (toe-pads), and sub-fossils up to 12,000 YBP from a variety of preservational environments including limestone and volcanic rock caves (essential), as well as attempting those of anoxic marshes;
  2. playing a key role in DNA extraction and interaction with external genomics companies in order to obtain both de novo reference genomes and re-sequenced genomes from fresh samples;
  3. analysing the resulting genetic time series (modern and historical genome-wide data of varying completeness) to track temporal changes in demography and selection since first human arrival in the Mascarenes ~ 400 generations ago.

Funding has also been obtained for a PhD student to work alongside the postdoc in data analysis, the ancient DNA lab and/or method development, beginning by Year 2 at the latest.

Candidates are expected to have proven experience in generating and analysing genome-wide ancient or historical DNA data, and should ideally:
  • have a strong interest in the broad theme of the study - understanding the role of evolutionary history in determining which species decline towards extinction in response to environmental change
  • be interested in relevant population genomic methods
  • show willingness, if needed, to play a key role in training a PhD student to help with the historical DNA wetlab work

The ANR project comes with funding for three years of postdoc salary, and some flexibility is possible in the recruit's time allocation between geographic locations over this period. At the outset, s/he will
need to perform wet lab work in Toulouse (AMIS, U. Toulouse), and is expected to base themselves in the Paris research centre (ISYEB, MNHN) in the latter phase of the project, interacting with the Paris-based team, especially concerning the study context and setup, data analyses and new methods. However, we realise that many candidates may prefer to be based for the majority of their time in one locality (such preferences can be discussed).

For informal enquiries please contact Ben Warren (

To apply, please submit your application to Ben Warren ( and Catherine Theves ( as a single pdf file containing: 
  1. a detailed CV with publication list, and the names and email addresses of three referees who can comment on your expertise;
  2. a short covering letter (1-2 pages) explaining why you are interested in applying for this position, and your specific qualifications for this project. We will acknowledge receipt.
Both women and men are encouraged to apply. Time taken out from a scientific career through pregnancy and child care should be noted in the CV, and will be taken into account at the selection stage.

Applications are due by December 13th 2020, after that the position will remain open until filled. Start date: April 1st 2021 (ANR start date) or soon after.

26 de noviembre de 2020

Oferta de doctorado chulísima en Noruega estudiando ecología marina

PhD Fellow in Marine Ecology/Biological Oceanography
Apply for this job

The position

A PhD position in Biological Oceanography is available at the Department of Arctic and Marine Biology within the research group Arctic Marine System Ecology.

The PhD project will address zooplankton patchiness in the Norwegian Sea and will be centered around questions that arose in relation to observed large-scale zooplankton patches in the area. The fellow will be expected to collect own data in the field, during cruises in the Norwegian Sea, and to perform experiments with copepods and other zooplankton, as well as to statistically analyze large data sets from advanced optical and acoustical sensors and from ocean color remote sensing, all in an endeavor to increase our knowledge on the role of large-scale swarms in the marine ecosystem. The fellow is also expected to participate in science communication events to the public (e.g. fairs and web sites) and to the scientific community (i.e. conferences and workshops).

The position is for a fixed term of four years. The nominal length of the PhD program is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time.

UiT offers an international research environment with world class research on polar ecosystems. The objective of the position is to complete research training to the level of a doctoral degree. Admission to a PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow shall participate in the faculty’s organized research training, and the PhD project shall be completed during the period of employment.


For further information about the position, please contact Associate Professor Sünnje Basedow,


Master's degree or equivalent degree in Biology
An interest in analyzing large data sets using programming languages Python or Matlab is required, and experience in this direction is an advantage.
Previous experience from research cruises is considered beneficial.
Experience or knowledge with experimental design and research methodology, field work and collection of data (onboard vessels) and experience with analysis of data and general statistics is valuable for the position.
Scientific publishing experience will be acknowledged.
Documented knowledge of English as stated here is required and working knowledge of Norwegian or a Scandinavian language is desirable

The applicants must present own ideas outlining the academic basis of the PhD project. The project description shall not exceed 2 pages, literature references included. It must include a description of the theme, research question(s) and a reasoning of the choices. The final project description will be developed in cooperation with the supervisor. It is important that the applicant has a suitable background and is motivated to work on the project.

Emphasis will be put on the candidate’s potential for research, motivation and personal suitability for the position.

The position requires admission to the Faculty’s PhD programme. Information about requirements and the PhD programme is available here: PhD Faculty of Biosciences, Fisheries and Economics

Applicants with a foreign education will be evaluated on whether the educational background is equivalent to Norwegian higher education, following national guidelines. Applicants from some countries will have to document additional higher education in order to fulfil the requirements.


Your application must include:
Cover letter explaining how your education and experience makes you qualified
Diplomas, diploma supplements and transcripts (all degrees)
Documentation of English language proficiency
Contact information to 1-3 references, reference letters
Master thesis, and any other academic works
Research proposal / project description (max. 2 pages)

Qualification with a Master’s degree is required before commencement in the position. If you are very near completion of your Master’s degree, you may still apply and submit a draft version of the thesis and a statement from your supervisor or institution indicating that you will obtain the degree within the next two months. You must document completion of your degree before commencement in the position.

The cover letter and CV must be in English, all other documentation must be in English or a Scandinavian language. We only accept applications sent via Jobbnorge within the application deadline.

Prácticas remuneradas de periodismo científico en USA


Apply by January 15, 2020!

Open to: Science students (BS, MS, or PHD)

Work in a Wyoming News Outlet and write about science, environment, outdoors, ag, and more Email for the application by Fri. Jan. 15

- Prospective interns must complete the application, which includes submitting a writing sample, cover letter, and resume

- Prospective interns should be pursuing a degree in science (broadly defined) and want to develop science journalism skills

- Interns will work 12 weeks in the summer of 2021

- Interns may work between 20 and 40 hours a week

- Interns will earn $12.50 per hour if an undergraduate student, $15 per hour if a master's student, or $17.50 per hour if a doctoral student

- Interns will have a stipend for reporting duties, such as any travel or workshops related to the internship

- Interns will work with the internship director, Dr. Kristen Landreville, to identify a specific Wyoming media outlet to intern for in the state

- Interns will be required to complete science journalism and communication readings throughout the summer internship

- Preference given to applicants who are enrolled in the Media, Science, and Society class (ENR 4700/5700) that will be taught in Spring 2021

- Past interns have worked at Wyoming Public Radio, newspapers around the state, and Western Confluence magazine.

To apply for the internship program, email Dr. Kristen Landreville at for the application. You will also need to submit:

1. Cover letter that includes an explanation about why you’re interested in the science journalism internship.

2. Resume that includes any relevant journalism, writing, communication, and outreach experience

3. Application (email Dr. Landreville for the application)

4. Writing sample

Funded by Wyoming ESPCOR NSF Award 1655726

Prácticas/voluntariado de monitoreo de mamíferos marinos en Gales

Sea Watch Foundation (SWF) are looking for a Research Assistant and
Intern Coordinator to assist with the running of the ?Cardigan Bay
Monitoring Project?. The project is based in picturesque New Quay, West
Wales, and supports the conservation management of the bottlenose
dolphin, harbour porpoise and grey seal populations of Cardigan Bay,
monitoring their abundance, distribution, reproductive success and
population structure using a combination of vessel-based and land-based
surveys. SWF has been monitoring these populations on behalf of the
Welsh government (through funding provided by Natural Resources Wales)
for two decades. Cardigan Bay contains Britain?s largest coastal
population of bottlenose dolphins, for which two Special Areas of
Conservation have been established under the EU Habitats Directive.
Internships with Sea Watch have frequently led to established posts in
national and international research and conservation bodies, as well as
providing a stepping stone for students to undertake doctoral studies in
marine mammal science.

Responsibilities will include, but are not limited to:
Coordination between the Monitoring Officer and project interns ? in
charge of the intern shared house and the intern weekly office rota.

Assisting the Monitoring Officer & Sightings Officer in training interns
and other volunteers in land- and boat based surveys, photo ID studies,
database entry, and more.
Assisting the Monitoring Officer in all phases of the research.

Assisting the Sightings Officer with maintenance of the national
sightings network.
Optional opportunity to undertake a personal research project supervised
by the Monitoring Officer. Research topic will be chosen according to
Sea Watch Foundation requirements and applicant?s interests.

The successful applicant is expected to have completed a BSc degree (or
higher) in biology, marine biology, zoology, chemistry, or related field
and able to demonstrate previous experience in marine mammal research. A
strong interest and knowledge of British cetaceans and experience are
The applicant should ideally have some experience using DSLR cameras.
Practical experience of photo-identification (both photography and
matching) is desirable.

Experience with other equipment regularly used by Sea Watch Foundation
such as hydrophone, polecam, theodolite, digiscope and aerial camera
drone is advantageous.

The applicant must be proficient with database and word processing
software and be willing to learn new software applications. Specific
experience in use of Access and GIS would be advantageous.

The preferred candidate should have a proven track record as a team
player since the project will involve working closely with other
researchers, but must also be able to supervise small groups of people
given that they will be coordinating a team of at least 8 interns. The
Research Assistant and interns live and work together on a daily basis
which requires a high degree of interpersonal skills to maintain
relationships and team morale. Previous experience working successfully
in similar roles is essential.

Applicants must be self-motivated, with the drive and determination to
work independently and responsibly without direct supervision. The work
load is varied and therefore a high degree of organisation, attention to
detail, and ability to prioritise are essential.

If a personal research project is undertaken, this brings the
opportunity to submit work for scientific publication, and for
presentation at the European Cetacean Society Conference.

Please note that at this time we cannot guarantee that internships will
go ahead due to the restrictions that the ongoing pandemic imposes. We
are hopeful that with the development of a vaccine we will be able to
resume the field season as normal but if restrictions are likely to be
in place next spring , on-site internships may need to be postponed or
suspended. However, there will always be opportunities to take on home
based internships should this occur.

This position is unpaid, but (shared) accommodation will be provided in
the intern house free of charge.

The Research Assistant will be responsible for their own travel expenses
to New Quay for the 2020 field season. Due to the touristic background
of New Quay, part-time paid evening work is generally easy to find if
required by the applicant.
International applications are welcome but?it is the applicant?s
responsibility to ensure visa requirements are met and the chosen visa
option should be highlighted in the application form.?
To apply:
Please send your CV and?Research assistant application form, and contact
details of two referees, reporting any relevant experience you have, to
Katrin Lohrengel-?
Deadline: 17th January 2021.

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