Postdoc in Biodiversity, Remote sensing and AI (Sweden)

Job title:

Postdoctor in Biodiversity, Remote sensing and AI
Reference number PAR 2025/130

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Responsibilities:
At the Department of Biological and Environmental Sciences (BioEnv) at the University of Gothenburg, you will be part of a multidisciplinary team working on methods to predict biodiversity and carbon recovery in tropical forests, integrating remote sensing, ground-truthing, and AI models. You will analyze and model high-resolution carbon and biodiversity data from sites in southeastern Brazil and southwestern Costa Rica, exploring different land-use categories and stages of ecosystem restoration.

You will implement and optimize data analysis and model frameworks using an interpretable AI approach to:

1. Identify cost-effective ways of measuring carbon and biodiversity at scale
2. Test the relative importance of stochastic vs deterministic factors in predicting carbon sequestration and biodiversity recovery
3. Identify the optimal combination of restoration sites and methods to maximize biodiversity and carbon storage under limited budgets

You will also collaborate with international research groups, including study visits to ETH Zurich to optimize computational models. Co-supervision of students and optional teaching (up to 20%) may be part of the role.

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Requirements:

• A doctoral degree in bioinformatics, biodiversity science (with a strong analytical component), computational biology, or a related field
• Advanced programming skills in R or Python
• Proven experience developing and applying machine learning models
• A strong track record of scientific publications
• Ability to work both independently and in a diverse team environment
• Excellent written and spoken English

Desirable qualifications:

• Teaching and mentoring experience
• Fieldwork experience (e.g., biodiversity surveys)

Personal qualifications:
You should be constructive, flexible, and cooperative, with strong organizational and communication skills. You must be comfortable asking for guidance as needed, as well as supporting others. You will present your work regularly and collaborate across multiple locations.

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Location:
This position is based at the Department of Biological and Environmental Sciences in Natrium at Medicinaregatan 7B, Gothenburg, Sweden.

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How to apply:
Submit your application through the University of Gothenburg’s recruitment portal by clicking the “Apply” button in the original job posting. Your application must include:

• A cover letter explaining how you meet the selection criteria
• A list of qualifications (full CV)
• A short essay (about half a page + references) on how remote-sensed and ground-based data can be integrated to predict biodiversity in tropical forests
• A complete list of publications (including submitted and accepted manuscripts)
• Links to your GitHub or other code repositories
• Certificate of PhD exam

Applications must be received by March 17th, 2025.

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Contact details:
For questions regarding the position:

• Alexandre Antonelli, Professor
  Email: a.antonelli@kew.org
  Webpage: https://antonelli-lab.net/

• Åsa Arrhenius, Head of Department
  Phone: +46 31 786 26 25
  Email: asa.arrhenius@bioenv.gu.se

For questions about the employment process:

• HR at the Department of Biological and Environmental Science: hr@bioenv.gu.se

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Investiga cómo aplicar la inteligencia artificial al bienestar animal en Bélgica

Researcher AI for animal welfare

Do you enjoy conducting research from A to Z? Do you want to contribute to groundbreaking technologies? Are you eager to delve into AI and sensor technology and apply them for animal welfare? Read more about the job in the job description.

Your capabilities

You have a master degree in a graduate program with a field related to agriculture, animal welfare, precision livestock farming or equivalent. Candidates with doctoral degrees are also welcome to apply. Students who will graduate in 2024 may also apply If you have a foreign diploma, we ask you to obtain equivalence recognition. You can apply for this at NARIC Vlaanderen

You have previous research experience, from setting up experiments to publishing articles.

You have experience with data analysis and programming languages such as R or Python.

You have a good oral and written knowledge of English.

We offer

We offer you an open-ended contract (with minimum guaranteed financing for 8 months) with a competitive salary based on your degree. You will be recruited in the salary scale A165 or A166 (depending on your degree). You can make a gross and net calculation of your monthly salary, a holiday bonus and your end-of-year allowance via Salarissimulator | Vlaanderen.be (note, do not use the new salary simulator). Relevant experience can be considered for financial seniority.

You get a varied, challenging and socially relevant job in a dynamic environment with attractive working conditions and development opportunities. Hybrid work is possible if the position allows it.

Additional: Hospitalization and group (life) insurance, commuting allowance (bicycle – public transport), meal vouchers (8 €/day) and option to lease a bicycle. A total of 35 paid vacation days based on last year's performance (private scheme). An additional week of holidays are given between Christmas and New Year’s Day.

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Cuatro meses de prácticas pagadas en los alpes suizos usando cámaras y AI

Oferta compartida por Cristina

WSL Institute for Snow and Avalanche Research SLF

The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of the environment and on the handling of natural hazards. WSL employs approximately 600 people, of whom 140 work at SLF in Davos.

The Group Mountain Ecosystems within the Research Unit Alpine Environments and Natural Hazards investigates how climate change and land use affects the diversity and functioning of alpine ecosystems and is offering from Mai/June – August/September (4 Months) an

Internship “Insect monitoring with cameras in the Alps”

Automatic insect monitoring systems using digital cameras and computer vision offer great potential to advance our understanding of insect declines. Cameras can track insects on images, making it easy to monitor insects and their biomass across environmental gradients in a standardized way. In a Pilot-project we test the DIOPSIS insect camera system along three elevational gradients in Switzerland, to explore how insect numbers, biomass and diversity are affected by climatic gradients. Moreover, results from Diopsis cameras will be compared to results from classical insect monitoring methods. Your task will be to install 10 Diopsis cameras in the field in the mountains (ranging from 1500m to almost 3000m) and monitor their functionality and correct settings. Depending on your interest and abilities, the intern project could also involve analysis of images and advancing the algorithms and pipelines. You will also help collecting samples from traditional insect traps that are installed next to the cameras.

We offer an inclusive environment in an enthusiastic and diverse team of ecologists, set amidst a stunning mountain environment. The internship takes place in Davos at the SLF, and we help in finding housing in Davos. Depending on interest and ability there is the possibility to work in collaboration with Michele Volpi from the Swiss Data Science Center for the analysis of the images.
We are looking for a student interested in automatic insect monitoring systems and computer vision. You bring enthusiasm for technical aspects, computer vision, and ideally insects, and enthusiastic in doing some fieldwork in the mountains. You are fit and confident in working independently in alpine environments and have good organization skills. A driving license is a plus.

Please send your complete application to Clemens Güdel, Human Resources SLF, by submitting the required documents via our application portal. Applications by e-mail or post will not be considered. Anne Kempel (anne.kempel@slf.ch) will be happy to answer any questions or offer further information. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.WSL Institute for Snow and Avalanche Research SLF

The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of the environment and on the handling of natural hazards. WSL employs approximately 600 people, of whom 140 work at SLF in Davos.

The Group Mountain Ecosystems within the Research Unit Alpine Environments and Natural Hazards investigates how climate change and land use affects the diversity and functioning of alpine ecosystems and is offering from Mai/June – August/September (4 Months) an
Internship “Insect monitoring with cameras in the Alps”
Automatic insect monitoring systems using digital cameras and computer vision offer great potential to advance our understanding of insect declines. Cameras can track insects on images, making it easy to monitor insects and their biomass across environmental gradients in a standardized way. In a Pilot-project we test the DIOPSIS insect camera system along three elevational gradients in Switzerland, to explore how insect numbers, biomass and diversity are affected by climatic gradients. Moreover, results from Diopsis cameras will be compared to results from classical insect monitoring methods. Your task will be to install 10 Diopsis cameras in the field in the mountains (ranging from 1500m to almost 3000m) and monitor their functionality and correct settings. Depending on your interest and abilities, the intern project could also involve analysis of images and advancing the algorithms and pipelines. You will also help collecting samples from traditional insect traps that are installed next to the cameras.

We offer an inclusive environment in an enthusiastic and diverse team of ecologists, set amidst a stunning mountain environment. The internship takes place in Davos at the SLF, and we help in finding housing in Davos. Depending on interest and ability there is the possibility to work in collaboration with Michele Volpi from the Swiss Data Science Center for the analysis of the images.
We are looking for a student interested in automatic insect monitoring systems and computer vision. You bring enthusiasm for technical aspects, computer vision, and ideally insects, and enthusiastic in doing some fieldwork in the mountains. You are fit and confident in working independently in alpine environments and have good organization skills. A driving license is a plus.

Please send your complete application to Clemens Güdel, Human Resources SLF, by submitting the required documents via our application portal. Applications by e-mail or post will not be considered. Anne Kempel (anne.kempel@slf.ch) will be happy to answer any questions or offer further information. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.

Read More

10 proyectos de doctorado para trabajar en bioacústica combinado con inteligencia artificial

Oferta compartida por Cristina (de parte de Javi Oñate)

Apply for a PhD position

Would you like to develop AI algorithms to help understand animal sound? To monitor biodiversity across Europe? To collaborate with AI and biodiversity experts, as part of a team and with partners in many European countries? We are now looking for PhD Doctoral Candidates.

- 10 positions available, funded by the EU

- In The Netherlands, Germany, France, Belgium, Czechia, Finland, and the UK

- Work on your project in teamwork with experts in both AI and ecology/zoology

- Collaborate with project partners in other European institutions, including extended research visits for in-depth collaborations

- PhDs are planned to begin in early 2024

- The funded PhDs will run for 3 to 4 years


A unique combination of animal sounds, behavior, ecology and AI


Some of the PhD projects focus on developing AI/signal processing algorithms. Some of the PhD projects focus on ecological questions or animal behaviour. The animals of interest include birds, bats, hyenas and insects.

Our recruitment process will begin in August 2023 (application deadlines: to be announced), and the PhDs are planned to begin in early 2024 (Feb–Mar). The funded PhDs will run for 3 years, or up to 4 years in some countries according to local PhD requirements.

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Oferta muy interesante dirigiendo equipos en remoto. Especial para apasionados de la AI y el machine learning

Oferta compartida por Cristina

Director of Research

Full-time & Remote

Earth Species Project (ESP) is a non-profit organization focused on using artificial intelligence to advance our understanding of animal communication, and ultimately to decode non-human languages. We believe AI has the potential to transform the way we perceive the world around us, expanding the ability of human beings to learn from other species. Our hope is that this will make a significant contribution to altering human perspective on how we relate to the rest of nature.

ESP partners with biologists and machine learning researchers at leading universities and institutions around the world, and we are honored to be supported by many forward-looking philanthropists and groups including the National Geographic Society and the entrepreneur and author Reid Hoffman.

RESPONSIBILITIES

We are looking for a thought leader in artificial intelligence with a track record of managing a team of researchers. ESP is still growing and you will have the opportunity to shape our long-term research agenda.

You will work with biology and machine learning experts to create understanding from entirely new scopes. You have experience leading research teams in designing algorithms that find structure in labeled and unlabeled data (audio, video, text, accelerometer, and other modalities).

You will also help cultivate a team of AI researchers, and will play a key role in hiring, mentoring, and hands-on career development. ESP’s AI researchers are responsible for developing and applying techniques in machine learning, bioacoustics, and ethology, disseminating their work in scientific publications, and collaborating on these efforts with other members of the AI team as well as with external biology partners.

In addition to your scientific work, you will help support ESP’s fundraising efforts by reviewing proposals and providing information to funders, as well as supporting external relations by conducting media interviews and meeting with collaborators. You will be responsible for collaborating with the communications, impact, and executive leadership teams to ensure that our AI research is aligned with ESP’s mission and goals.

You will have the opportunity to work with partners at various institutions like Cornell University, Imperial College of London, University of Oxford, Massachusetts Institute of Technology, University of California Davis, University of California Santa Cruz, University of St. Andrews, Monterey Bay Aquarium Research Institute, Woods Hole Oceanographic Institute, the Internet Archive, and the Jane Goodall Institute.
YOUR BACKGROUND

We are open to traditional and non-traditional backgrounds.

Your areas of expertise might include: machine learning (deep learning, self-supervised learning, generative models, multimodal learning), natural language processing (unsupervised machine translation, language models), (computational) linguistics, bioacoustics, signal processing, data science, statistics, or mathematics.

Additionally, you have experience in the following:Management: You have a track record of attracting and retaining the best technical talent, growing and leading teams of researchers, and collaborating cross-functionally with leadership teams to advance the strategic AI roadmap and develop success metrics
Machine learning: You have an exceptional understanding of machine learning; knowledge in related fields (e.g., math, statistics, probability theory, computer science) is a plus
Research: You have conducted or led research projects and your work has been published in peer-reviewed journals

You might play a musical instrument, do long-distance running, enjoy teaching, knitting, wilderness trekking, or are an incredible parent. We’re excited about full human beings (and remain open to applications by qualified non-primates).
ESSENTIAL QUALITIESLeader who enjoys collaboration and working with others
Passion for ESP’s research areas of focus
Desire to advance the fields of biology and artificial intelligence
Good communicator, writer, and listener
Openness to feedback, willingness to learn, and curiosity
Creativity in your approach to problem solving
BENEFITSCompetitive pay
Medical insurance, dental insurance, and vision insurance - ESP covers 100% of the premium
401k plan with match (if based in the United States)
2,000 USD home office stipend
Unlimited paid time off, with a recommended minimum of three weeks per year
Flexible working hours
Collaborations with top biologists and conservation institutions in the field of behavioral ecology
Opportunity to observe and participate in data collection - previous research includes bioacoustic and behavioral ecology fieldwork in Alaska, Monterey Bay in California, and the Congo rainforest
Biannual team retreats around the world

We are a fully remote team and you can be located anywhere in the world. You will occasionally be expected to participate in virtual meetings outside of typical working hours in your time zone. Additionally, you must have the willingness to travel internationally (<20%) for events and in-person team gatherings. Earth Species Project has a dynamic, flexible, and fun working environment with many opportunities for learning and personal growth.

We are committed to equal employment opportunities regardless of race, color, religion, gender, gender identity or expression, pregnancy, sexual orientation, marital status, ancestry, national origin, genetics, disability, age, veteran status, and criminal history, consistent with legal requirements. We encourage folks of all backgrounds and perspectives to apply.

If you require any accommodations, please email us at jobs@earthspecies.org and we’ll work with you to meet your accessibility needs.

Apply here

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¿Tu especialidad son nuevas tecnologías (IA y Data Science) aplicadas al estudio de la ecología, la evolución, la genética y las ciencias de la salud, y te gusta la enseñanza? Echa un vistazo a estas dos ofertas 👀

Oferta compartida por Nuria

Role 1- Teaching Fellow - Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM)

We are recruiting Biologists studying Ecology, Evolution and Genetics using Data Science and AI approaches. We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for seven Teaching Fellows to join us at the Centre of Excellence on a permanent basis.

The ideal candidates will have excellent communication and personal supervision skills and be able to engage, motivate and support students. They will be expected to make significant contributions to supporting the academic progress of students, to support teaching, and to deliver a positive impact on the student experience. Preference will be given to candidates who are able to provide teaching support across a number of subject areas relevant to DAIM and who complement and enhance the overall disciplinary balance within DAIM.

Ultimately, we are an education institution - it's our bread and butter! Ideally you will hold a good degree, and a PhD or equivalent, with experience in teaching and research. However, we also recognise the value that significant and relevant work experience can bring to an individual's skill set, particularly, if you have experience in at least one aspect of Data Science, Artificial Intelligence, or Python programming.

Teaching Fellows will contribute to support of students in a pastoral role, undertake computer laboratory work, and will create and supervise student projects. They will contribute to the delivery and administration of assessment activities. The University of Hull embraces e-learning technologies, the post holders will be expected to fully engage with our virtual learning environment in addition to working with students in person.

We are delighted to be in a leading position during this latest industrial revolution, and to be able to recruit the future education, research, and business-interfacing leaders of tomorrow. We hope that you feel inspired to come and join us.

The role of Teaching Fellow is being advertised at band 7 and band 8. Please click below which role you wish to apply for. If you wish to be considered for more than one band, you will need to submit a separate online application form for each position.

To discuss this role informally please contact Dr Kevin Pimbblet (Director) at k.pimbblet@hull.ac.uk

https://jobs.hull.ac.uk/Vacancy.aspx?ref=UOH-TA-0022


Role 2 - Lecturer in the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) - Medicine and Health

We are significantly investing and contributing to the AI world of today and tomorrow - and this investment brings a fantastic opportunity for a Lecturer to join us at the Centre of Excellence on a permanent basis. 

The ideal candidate will build our research and knowledge exchange strengths within DAIM, along with enhancing academic support and teaching provision for our students. After all, you'll be educating the next generation of data scientists and artificial intelligence practitioners, responding to the increasing need in this field, and conducting high quality research which cuts across traditional disciplinary departmental and faculty boundaries.

We are looking for outstanding individuals with expertise in data science or systems biology as applied to large complex data sets with the life sciences, to support specialist areas within the Hull York Medical School.
We are particularly interested in hearing from applicants who have an interest in Artificial Intelligence or Data Science coupled with qualifications and skills that suit the following specialist areas:

• Analysis of large 'omic data-sets, including single cell RNASeq, nanopore sequencing, hypernetwork analysis, transcriptomic and epigenomic modelling and RNA Velocity
• Interrogation of proteomic data sets and alignment to transcriptome
• Experience of metabolomic data and network modelling
• Leveraging artificial intelligence and machine learning in
• image analysis

DAIM Lecturers will be expected to undertake research and/or knowledgeexchange activities within the fields of Data Science, Modelling,and/or Artificial Intelligence in areas including, but not limited to: modelling & numerical analysis, high performance computing, data science,machine learning, and computer science & visualisation. Ultimately, we are an education institution - it's our bread and butter! Ideally you will hold a good degree, and a PhD or equivalent, with experience in teaching and research in at least one aspect of Data Science and Artificial Intelligence. However, we also recognise the value that significant and relevant work experience can bring to an individual's skill set. All applicants should have Python Programming skills.

The role of Lecturer is being advertised at band 7 and band 8.
If you wish to be considered for more than one band, you will need to submit a separate online application form for each position.

https://jobs.hull.ac.uk/Vacancy.aspx?ref=UOH-TA-0023

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Oportunidad para expertos en identificacion de aves: ciencia ciudadana, AI y ornitología

Oferta compartida por Cristina


Merlin Project Coordinator - Lab of Ornithology

As part of the university's comprehensive vaccination program, all Cornell employees are required to have and provide proof of an FDA-or WHO-authorized or approved COVID-19 primary vaccination or have obtained a university-approved disability/medical or religious exemption, regardless of their role and work location.


New hires are required to provide documentation showing primary vaccination status (that is, completion of two shots of the Moderna or Pfizer vaccine or one shot of the Janssen/Johnson & Johnson) before their first day of work. If a new hire's vaccination is not complete or information is not received by their start date, the first day of work will be delayed. It is possible in some cases that an offer of employment may be withdrawn.


For additional information on Cornell’s Vaccination Compliance Program click here.


The Cornell University Lab of Ornithology is on the lookout for a Merlin Project Coordinator.


Merlin is the most widely used app for identifying birds in the world. It is consistently a Top 10 free reference app in the U.S. App Store and reaches more than 1 million users a month. We’re looking for Project Coordinator who wants to support people who are new to birding by creating an app experience that helps people identify birds, find places to go birding, and connect to community.


The Merlin Project Coordinator will contribute to increasing diversity in the birding community by growing the app’s user base, coming up with fun ways to keep people actively watching birds, and offering opportunities to participate in collecting scientifically valuable data. A candidate who loves to dig into analytics to understand user behavior, increase engagement through in-app activities, and design collaborative outreach initiatives will thrive in this role. We are looking for someone who believes a critical path to conservation is to connect millions of people to birds, and this app is a vehicle to get people outdoors appreciating the natural world.


Merlin is a project at the Cornell Lab of Ornithology, a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. As a nonprofit organization we curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce software applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. Merlin is integrated with eBird, a global database and community of birders gathering sightings to advance our understanding of bird populations. These linked projects are in an exciting growth phase as participation in birdwatching has increased dramatically since the pandemic and Merlin released automated sound identification features.


What You Will Do

Responsibilities of the Merlin Project Coordinator include:

Project Outreach: Provide day-to-day functional leadership by overseeing projects that engage the community in activities related to Merlin and eBird, including managing workflows, setting priorities, coordinating individual and group activities and managing activities to meet public release deadlines. Facilitate communication within and across teams to ensure that project objectives and key results are met. Define the scope and gather requirements for Merlin outreach projects.

Analytics & Data Management: Analyze user behavior in Merlin to improve the project’s user recruitment and outreach effort that develops the project on an international scale, supporting the Cornell Lab strategic goals, and progress towards objectives and key results.

Project Development: Collaborate with eBird project team and others to develop strategies to engage more users, and for users to deepen engagement with Merlin and eBird to advance the organization’s data collection and revenue generation goals.


Project Support: Support the public and community leaders in successfully participating in Merlin and coordinate the Merlin customer support team. Update web pages and provide content for social media outlets. Give presentations, write articles, blog posts, and other sources of information on the project.


This position located at the Lab of Ornithology in Ithaca, New York. Hybrid work arrangement opportunity for in-person and remote work 1-2 days a week.


What We Offer

This is a full-time, benefits eligible position. Cornell provides great benefits that include educational benefits, access to a plethora of wellness programs, employee discounts with local and national retail brands, health care options to choose from, generous paid leave provisions: 3 weeks of vacation leave, health and personal leave, 13 paid holidays (including end of year winter break through New Year’s Day), educational benefits, and superior retirement contributions.


Key requirements

Bachelor’s degree in biology, ecology, information science, science communications, social science, or related field and a minimum of 2 years’ experience or equivalent combination.


Deep understanding of birds and the birding community is required. Experience watching birds and/or working on projects to advance birdwatching and bird conservation.


Proven skills in project management are essential to coordinate multiple groups working towards the same deliverable and timeline for public launch.


Familiarity and proficiency with the Internet and content management systems is critical, along with a strong interest online tools to conduct research, engage and educate the public.


Prior knowledge of social media outlets.


Strong communication skills (written and oral) to clearly articulate vision and plans, and provide instruction effectively to all levels of management, staff, new partners, funding agencies, project participants, and visitors


If you possess these experiences and skills, this may be the role for you!

We would view these additional qualifications as incredibly helpful in this role:

Advanced degree preferred.


Proficiency in languages in addition to English.


At least five years of experience using eBird, Merlin, and other Lab resources.

Knowledge of birds of the world.

Visa Sponsorship is not available for this position.

How to Apply:

You must submit both a Resume and Cover letter. ​

When applying through our system, please attach your application materials (resume and cover letter). You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. If you are an internal employee, please log in to Workday.



Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.



Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations.





University Job Title:Extension Supp Spec I

Job Family:Academic Support

Level:E

Pay Rate Type:Salary

Company:Contract College

Contact Name:Denise Smith

Number of Openings:1



Job Titles and Pay Ranges:

To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator. The final rate of pay for the successful candidate will be determined considering the following criteria:

Prior relevant work or industry experience.


Education level to the extent education is relevant to the position.


Unique applicable skills.



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Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.


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For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.


If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.



Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also visit the office of Workforce Recruitment and Retention Monday - Friday between the hours of 8:30 a.m. – 4:30 p.m. to use a dedicated workstation to complete an online application.


Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.


EEO Statement:

Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

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Oferta muy guay para trabajar en remoto identificando aves y mamíferos

Oferta compartida por Cristina

Ornithologist

HiDef Aerial Surveying Limited (HiDef) is known for its market leading, innovative digital aerial surveys, which have been deployed in seven countries. We are expanding rapidly across all of our services, combining technical and scientific excellence and it is crucial to the company that we continue to deliver all of our services in a consistent and efficient manner.


Our Vision: "to provide trusted, high quality environmental data, analysis and consultancy to support decision-making for the renewables industry and conservation".

Our Mission: "to be a leading marine environmental consultancy for the global offshore renewables industry".

Quality lies at the heart of HiDef’s services and following a growth of business the company is looking to recruit an Ornithologist(s) to join our Operations team. This position within the company offers significant opportunities for the right person who will be enthusiastic, methodical, diligent, and an excellent team player with effective communication skills.

The Role:

We are expanding rapidly across all our services, combining technical and scientific excellence, and it is crucial to the company that we continue to deliver all our services in a consistent and efficient manner. The successful candidate(s) will report to the ID Team Leader and be responsible for identifying individual birds and mammals on offshore digital aerial surveys from footage taken around the UK, Ireland and occasionally elsewhere.

The role can be based in either our Workington or Edinburgh offices or be home-based.

The successful candidate will need:Excellent bird identification skills.
An understanding of seabird ecology and distributions.
Good marine mammal identification skills and awareness of species in European waters.
Proficient IT skills, especially using MS Excel, and an ability to learn new basic software.
Ability to work well as part of team, as well as being self-motivated and able to work remotely without direct supervision.
An acceptable level of broadband speed for home working.

Benefits / Remuneration:Salary £26,875 per annum based on a 37.5 hour working week
Competitive profit share scheme.
Working hours are based on Monday-Friday 08:30-17:00.
33 days annual leaver per annum, including public holidays.
4% company pension contribution.
12-month fixed term contract.
BUPA private health and dental cover.

How to Apply

Use the "Join the Team" button to make your application.
HiDef is proud to be an inclusive company and People are at the heart of how we deliver our services. We welcome applications from all individuals regardless of race, age, disability, sex, gender identity, sexual orientation, religion or belief.

 Contact

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Inteligencia artificial y biodiversidad. Ayuda a monitorear especies por toda Europa

Oferta compartida por Cristina


Postdoctoral Fellows in AI for Biodiversity Monitoring
 

Naturalis is looking for Postdoctoral Fellows in AI for Biodiversity Monitoring.

Introduction

Naturalis Biodiversity Center in Leiden is the Dutch national research institute for biodiversity and systematics. With our collection of 42 million specimens, one of the world's largest natural history collections, and our state-of-the-art research facilities we offer the (inter)national research infrastructure for species, identification and monitoring (for example in the projects ARISE, DiSSCo and Xeno Canto). We run nature identification services processing many millions of images/month for users including citizens and regional government agencies. We closely collaborate with many Dutch universities, research institutes, industry, and government. We host over 120 researchers including 14 academia embedded professors and 40 PhD students. We present the history of our planet, and the diversity of life on Earth, through permanent and temporary museum exhibitions, educational programmes, and online presence, with more than 400,000 visitors per year. All in all, a unique combination of science and culture in the Netherlands and elsewhere in the world!

The research department is organised in 7 research groups comprising researchers and their postdocs and PhD-students. Naturalis has a completely new lab building, including state-of-the-art molecular facilities, microCT scanners and electron microscopy (SEM and TEM).

Position

Would you like to create AI algorithms to automatically detect hundreds of animal and plant species in the wild? To help monitor biodiversity across Europe? To collaborate with AI and biodiversity experts, as part of a team and with partners in many European countries?

Naturalis is looking for Postdoctoral Fellows in AI for Biodiversity Monitoring. We have two positions available, as part of projects funded by Horizon Europe. At Naturalis, you will work in a team with experts in both AI and biodiversity, and you will also collaborate with project partners in other European institutions.

Machine learning ("AI") automatic recognition has a huge potential for large-scale biodiversity monitoring. In this project you will work on creating algorithms that perform highly accurate recognition in the wild, across a wide range of species of European importance (such as birds, bats, pollinators, molluscs, indicator species, invasive alien species), across multiple countries and habitats. You will implement and validate algorithms for high accuracy, robustness and generality, focussing on the species and habitats identified as important by our consortium. You will co-curate audio/image datasets from collections and other media, for robust algorithm training and validation. You will work with software developers and IT staff to deploy these algorithms as live services.

You may specialise in images, or sounds, or both, according to the mix of skills in the team and the demands of the project.

The work will be carried out in the Evolutionary Ecology research group, which focuses on contemporary evolution. Its 6 principal investigators, 2 postdocs and 4 PhD students all study how man-made environments create selective landscapes that invoke adaptations of wild animals and plants.

General requirements and skills 

Essential knowledge, skills and experience: A PhD* in a topic such as machine learning, quantitative ecology, quantitative biology, signal processing, bioinformatics or similar
Evidence of the ability to conduct high-quality research and write publications for high impact scientific journals/proceedings
Excellence in written and oral communication in English
Self-directed planning and time management skills
The ability to work independently as well as collaboratively within the research group
Proficient in programming e.g. Python, PyTorch, or Tensorflow

Desirable knowledge, skills and experience: Experience of working with media data (audio and/or images), ideally within the context of automatic recognition
Proven experience collaborating with colleagues in other research disciplines
You have an interest in/affinity with biodiversity, and the field of natural sciences and biology
Experience in grant writing/demonstrated ability to acquire external funding
Work experience in multiple research environments
Experience in teaching and/or supervising student projects

* We will take your application into consideration if you are close to finishing your PhD (which means your PhD defence is scheduled within three months after the starting date).

We offer

A contract (36 hours per week) for a period of one year, with the intention to be extended with one and potentially two more years after a successful first year evaluation, and a monthly salary between € 3,208.- and € 4,738,- (depending on relevant experience). The planned start date is November 1st 2022. The successful candidate will be employed by Naturalis in Leiden and benefit from our inspiring working atmosphere, as well as the buzzing scientific atmosphere of Leiden. Our Research Coordination Office also provides ample support to our scientific staff. Our institute promotes gender equality and wants to enhance the diversity of staff members. Feel free to contact both Dr Dan Stowell (Associate Professor in AI & Biodiversity; dan.stowell@naturalis.nl; http://mcld.co.uk/research/ ) and Dr Vincent Kalkman (Researcher; vincent.kalkman@naturalis.nl; https://www.naturalis.nl/en/vincent-kalkman) with questions about the position. For procedural questions related to the application please contact HR: sollicitaties@naturalis.nl.


Procedure

Applicants are invited to submit their application in one pdf, including a cover/motivation letter (max. 2 pages) and CV (including a list of publications) and the names and contact details of two referees. Please submit your application by the end of Sunday 26th June CEST using the application form.

Interviews are foreseen to take place in the week of 4th-8th July (online or in-person).

Naturalis endorses the Cultural Diversity Code. In the case of equal suitability, preference is given to the candidate who reinforces diversity within the team.

**If you are a recruiting agent, please do not contact us**

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Si siempre has soñado con descubrir nuevas especies (de artrópodos), echa un vistazo a esta oportunidad en Berlin.

Oferta compartida por Nuria

3 tenure-track research positions with a focus on species discovery and taxonomy of hyperdiverse arthropod clades at the Center for Integrative Biodiversity Discovery, Museum fuer Naturkunde (MfN) Berlin, Germany
https://jobs.museumfuernaturkunde.berlin/jobposting/067dbdb4c8bb8cd36a232c28a9627486a3687b6a

The opportunity:
The Museum fuer Naturkunde Berlin has an internationally visible Center for Integrative Biodiversity Discovery. It will meet the scientific and societal challenges arising from rapid worldwide ecosystem change, not least the global biodiversity crisis, and capitalise on the chances and innovations from biodiversity. The Center will develop new scientific approaches to the study of biodiversity that will contribute to a more efficient and significantly faster global biodiversity inventory. At the same time it will enable high-quality taxonomic research on extinct and recent organisms and develop targeted knowledge products for various
user groups.

We are seeking three talented and motivated biodiversity researchers (f/m/d) with a focus on methods to develop and support the new Center for Integrative Biodiversity Discovery at the Museum fuer Naturkunde Berlin Leibniz Institute for Evolution and Biodiversity Science. To this purpose, the successful candidates will take a leading role in the development of innovative methods for species discovery and apply them to the taxonomy of hyperdiverse arthropod clades. The research should be embedded in the program of the Center for Integrative Biodiversity Discovery and involve engagement in grant applications as well as training and supervision of students and junior researchers. We also expect active participation in public outreach activities of the museum about biodiversity and biodiversity discovery. A particular focus of the Center is to develop new ways for the automatic discovery and description of species. For this purpose we combine biodiversity robotics with DNA barcoding and machine learning so that invertebrates can also be automatically identified by image in the future (see https://www.science.org/news/2021/06/artificial-intelligence-could-help-biologists-classify-world-s-tiny-creatures).

The Museum fuer Naturkunde Berlin provides an excellent research environment. It houses state-of-the-art laboratories for morphology (including histology, imaging, SEM, and CT labs), molecular genetics/genomics and computation. Numerous research groups are working in a wide range of research fields including population genetics, phylogenetics, developmental and evolutionary genetics, and taxonomy. Our world-class zoological collections provide unique access to specimens collected over the last 200+ years.

Requirements:

• PhD or PhD candidate in zoology with a significant publication record in collection-based biodiversity research on hyperdiverse terrestrial or limnic arthropod clades that are ideally dark taxa (clades where <10% of all species are described and the estimated diversity is >1000 species). 
• The successful candidates must have described new species in dark taxa and should have experience in developing innovative research approaches to taxonomy that combine high-throughput sequencing and morphological data. 
• Demonstrated experience in working on international research projects and obtaining third-party funding. 
• Field work experience, preferably also in larger collaborative projects and willingness to participate in research in one of MfN's geographic focus regions (e.g., Southeast Asia, Africa) are expected. 
• Successful candidates will be expected to work in an interdisciplinary environment at Germany's largest natural history museum. Excellent team player, proven communication skills and intercultural competence. 
• Professional written and verbal communication in English.

Application procedures:
We look forward to receiving your application with the usual documents (cover letter, curriculum vitae, certificates) as well as a statement (one page max.) outlining plans for research at MfN by 31.01.2022, preferably via our online application portal.

In support of equal rights applications from qualified women are particularly welcome. Handicapped individuals will be given preference in cases of identical qualifications.

For information on the application procedure, please contact recruiting@mfn.berlin

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Empieza tu propio grupo de investigación en biodiversidad y evolución en el Museo de Historia Natural de Suecia

Oferta compartida por Nuria


The Swedish Museum of Natural History (NRM) is hiring a tenure-track researcher in Data-Driven Life Science (DDLS), within the field of biodiversity and evolution. The appointed researcher will receive a start-up package of 17 M SEK, which includes funding to establish their own independent research group.

The NRM (www.nrm.se) is a major research institute with state-of-the-art equipment and dedicated laboratories that enable high-quality research on a broad range of natural history topics. The museum is located in Stockholm, which by many is regarded as one of the most beautiful capitals in the world, and is home to a vibrant scientific community with several leading research institutes, including the world-leading research infrastructures at the Science for Life Laboratory, nearby Stockholm University and the Royal Institute of Technology.

The research position is funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which is a 12-year initiative funded with a total of 3.1 billion SEK from the Knut and Alice Wallenberg Foundation (for more details, see www.scilifelab.se/data-driven). The DDLS Fellows will be recruited as independent group leaders at the respective host institution, and will have the opportunity to link up with other local research groups as well as the within the national DDLS programme.

Each DDLS Fellow will receive a recruitment package of 17 MSEK, which is meant to cover 5 years of his/her own salary, two PhD students andtwo postdoc positions, as well as running costs. The Fellow positions are tenure-track, and the universities/organizations will assume the long-term responsibility of their support as tenured faculty.


RESEARCH TOPIC

DDLS in biodiversity and evolution concerns research that takes advantage of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. This research subject area aims to lead the development or application of novel methods relying on machine learning, artificial intelligence, or other computational techniques to analyze these data and take advantage of such methods in addressing major scientific questions in evolution and biodiversity.

More specifically, at the NRM this research will be aimed at developing a deeper and dynamic understanding of biodiversity and ecosystem change, and to enable predictions on environmental change on global and local ecosystems. The scientific topics comprise the development and evolution of life, biodiversity, human evolution, environmental research or landscape ecology. From a methodological perspective, examples of such research include analyses of large-scale data within phylogenetics, population genetics or metagenomics, as well as image analysis or research on morphological and distributional data.


ELIGIBILITY AND ASSESSMENT

In order to qualify for the DDLS Research Fellowship, the applicant must have completed a doctoral degree in Sweden or an equivalent degree from another country. The position is primarily aimed at applicants who have received such a degree no more than eight years before the deadline for applications.

Since the DDLS Fellowships are aimed at early career researchers, having completed a PhD degree within the last eight years will constitute an important merit. During the selection process, special attention will also be given to research excellence within the field of DDLS in biodiversity and evolution. The applicants will also be evaluated on the basis of the planned research within the subject field, as well as experience in leadership and student supervision and track record in obtaining research grants.


TERMS OF EMPLOYMENT

The candidate will be employed as researcher until further notice, but no longer than five years. The contract may be extended under special circumstances, such as due to sick leave or parental leave. The successful DDLS candidate will be offered the choice to be employed at the department within the museum that best fits the candidate’s research profile. The museum’s life science departments are Bioinformatics and Genetics (BIO), Botany (BOT), Environmental Research and Monitoring (MFÖ),
Palaeobiology (PAL) and Zoology (ZOO).

The DDLS Fellows at NRM will, upon a successful evaluation of their project, be offered the opportunity for their employment to be transformed into a permanent researcher position financed by NRM. Researchers employed at the NRM, including DDLS Fellows, also have the opportunity to apply
for promotion to full professor


HOW TO APPLY

Applications should be submitted no later than September 5th, 2021, through the NRM recruitment portal. The recruitment portal and full instructions for applicants is available through this link:
https://www.nrm.se/vacancies

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