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Data & Analytics Jobs in Wageningen, Netherlands (Now Hiring) — 5 open

KNAW - Koninklijke Nederlandse Akademie van Wetenschappen logoKNAW - Koninklijke Nederlandse Akademie van Wetenschappen

PhD position: Indicators of demographic risk and resilience in wild birds

Wageningen, Gelderland, Netherlands · Hybrid

$3k–$4k/mo

Entry level

What you will be doing We are seeking a talented, enthusiastic, and collaborative PhD candidate to investigate how seasonal environmental change influences population vulnerability and to develop new indicators of demogr…

Skills: Population Ecology, Demographic Modelling, Ecological Forecasting, Time-series Analysis, Bayesian Statistics

KNAW - Koninklijke Nederlandse Akademie van Wetenschappen logoKNAW - Koninklijke Nederlandse Akademie van Wetenschappen

Postdoc in soil biodiversity analysis across Europe

Wageningen, Gelderland, Netherlands · Hybrid

$4k–$6k/mo

Mid level

What you will be doing Soils host most of the world’s biodiversity and deliver important ecosystem services, however, many soils are currently considered unhealthy. The European Soil Monitoring Directive aims at improvin…

Skills: Soil Ecology, Multivariate Statistical Analysis, Complex Statistical Analysis, Amplicon Sequencing Data, Large Dataset Analysis

Unilever logoUnilever

Research and Development Internship 26' - Product Processing (Hive)

Wageningen, Gelderland, Netherlands · On-site

Entry level$21M raised

Are you ready to kick-start your career at one of the world’s most iconic companies? At Unilever, we’re not just about creating products – we’re about building dreams, opportunities, and innovation. With over 400 brands …

Skills: Microscopy, Image Analysis, AI Model Training, Food Science, Chemical Engineering

Unilever logoUnilever

Research and Development Internship 26' - Data Science (Hive)

Wageningen, Gelderland, Netherlands · On-site

Entry level$21M raised

Are you ready to kick-start your career at one of the world’s most iconic companies? At Unilever, we’re not just about creating products – we’re about building dreams, opportunities, and innovation. With over 400 brands …

Skills: Data Science, Literature Research Methodology, Analytical Thinking, Teamwork, English Fluency

Bayer logoBayer

EMEA Product Design Scientist (F/H/NB) - Hybrid

Guilleville, Centre-Val de Loire, France · Hybrid

$41k–$51k/yr

Mid level$9.3B raised

EMEA Product Design Scientist (F/H/NB) - Hybrid At Bayer Crop Science, we are looking for a dedicated Product Design Scientist. In this multi-disciplinary role, you will leverage genomic, phenomic, and environmental data…

Skills: Genomics, Phenomics, Quantitative Genetics, Computational Biology, Functional Genomics

KNAW - Koninklijke Nederlandse Akademie van Wetenschappen logo

PhD position: Indicators of demographic risk and resilience in wild birds

KNAW - Koninklijke Nederlandse Akademie van Wetenschappen

Wageningen, Gelderland, Netherlands • Hybrid

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Entry level

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  • $3k–$4k/mo
  • Full-time
  • postgraduate degree
  • Vacation Allowance, Year-end Bonus, Travel Allowance, Internet Allowance, Home Working Allowance, Pension Accrual
  • Posted 9d ago
  • Apply by Jul 15
  • ~40 hrs/week

Responsibilities

The candidate will investigate how seasonal environmental changes influence population vulnerability in wild birds to develop new indicators of demographic risk and resilience. This involves combining ecological theory, demographic modelling, and time-series analysis using large, long-term global datasets.

Requirements

An MSc degree in ecology, quantitative biology, statistics, or a related field is required, along with fluency in English (CEFR C1). Strong quantitative skills and an interest in population ecology and statistical programming are essential.

Full job description

 

What you will be doing

We are seeking a talented, enthusiastic, and collaborative PhD candidate to investigate how seasonal environmental change influences population vulnerability and to develop new indicators of demographic risk and resilience in wild bird populations.

 

When does a population decline begin? 

Can impending declines be detected before they become severe?

 

At first glance, the answer appears obvious: populations start to decline when the number of individuals decreases. But populations often respond slowly to environmental change, and by the time a decline becomes apparent, the processes driving them may have been operating unnoticed for years. Reproductive success may have dropped, survival may have declined during migration, or environmental conditions may have deteriorated during the non-breeding season. Understanding when populations become vulnerable is one of the central challenges in ecology and conservation.

 

In this PhD project, you will develop and test new indicators of demographic risk and resilience using long-term data from wild bird populations. By combining ecological theory, demographic modelling, and time-series analysis, you will investigate whether seasonal demographic signals and statistical early warning indicators reveal population vulnerability before severe declines occur. Drawing on decades of bird monitoring data from around the world—including intensive long-term studies maintained by the Institute, harmonised data from the SPI-Birds Network & Database, and other major biodiversity monitoring and data standardisation schemes—you will assess the generality of indicators across populations, species, and ecological contexts. The project offers opportunities to collaborate with researchers at several institutions in Europe and North America and to contribute to efforts in biodiversity monitoring, ecological forecasting, and conservation planning.

 

This project is highly quantitative. During the PhD, you will develop skills in population ecology, demographic modelling, ecological forecasting, time-series analysis, Bayesian statistics, and statistical programming (primarily in R and Stan). You will gain experience working with large, long-term, multidimensional ecological datasets, developing reproducible analytical workflows, and applying open science principles. You will also develop skills in scientific writing and publishing, conference presentations, interdisciplinary collaboration, and the communication of complex scientific ideas to diverse audiences.

 

What you will be contributing

You should have an MSc degree in ecology, computational ecology, quantitative biology, statistics, or a related discipline. Candidates from other relevant backgrounds with strong quantitative skills and an interest in ecological questions are also encouraged to apply.

 

We are looking for a curious and motivated researcher with a strong interest in population ecology, ecological forecasting, biodiversity monitoring, or demographic modelling. You should be comfortable working with data and eager to develop advanced skills in statistical modelling and programming. Experience with R, Bayesian statistics, demographic modelling, time-series analysis, or large ecological datasets is an asset, but not required.

 

You should be able to work independently and collaboratively, communicate clearly in spoken and written English, and be enthusiastic about developing and sharing scientific ideas. Affinity with scientific writing, data visualisation, and the presentation of research results is highly desirable. Fluency in English (CEFR C1 or equivalent) is required.

 

What we offer?

A fully funded, four-year PhD position in the Department of Animal Ecology. The initial appointment will be made for one year and will be extended an additional three years following a positive evaluation. Working 0.8 FTE (i.e., five years in total) is a possibility, although full-time is preferred. The preferred starting date is September 2026.

 

You will register as a Promovendus (PhD candidate) at Wageningen University & Research and become a member of the PE&RC Graduate School, through which you can follow courses on ecological subjects, research methods, statistical analyses, and transferrable skills. You will have opportunities to attend workshops and conferences as part of your professional development. The Department and Institute organise weekly seminars, science lunches and journal clubs to stimulate scientific discussion and exchange ideas.

 

Your workplace

You will be embedded within the Department of Animal Ecology at the Netherlands Institute of Ecology (NIOO-KNAW), located in Wageningen. You will share an office space with other PhD candidates and join a dynamic community of senior researchers, postdocs, PhDs, large-scale infrastructure coordinators, research assistants and internship students (MSc, HBO). The Department comprises seven research groups, primarily working on passerine birds and bats.

 

In the Department of Animal Ecology, we investigate the causes and consequences of variation in life-history traits, including the underlying physiological and genomic mechanisms, and where such variation arises in time and space. Our work often leverages our impressive long-term, individually-based datasets, including studies of hole-nesting birds and their food (caterpillar and beech seeds). Using these exceptional time series, we seek to link individual variation in life-history traits and fitness outcomes to variation in population community dynamics.

 

The Institute has state-of-the-art research infrastructure and expert research support personnel to enable this project, including high-performance computing, and our long-term studies and databases. We also coordinate the SPI-Birds Network and Database, which standardises and harmonises data from a global network of long-term studies of individually marked breeding birds.

 

More information

Dr. Joseph Burant
Tenure-track Researcher

Department of Animal Ecology
[email protected]

 

Application procedure

To apply, please use the Academy’s online application portal. Your application should include (1) a cover letter summarising your research interests, experience, and motivation for the project, (2) a CV/résumé detailing your professional and educational background, and (3) the contact information for two professional referees (name, affiliation, telephone and email). The application submission deadline is Wednesday 15 July 2026. The hiring committee will review all applications received by the deadline and, by Monday 20 July,  invite a subset of candidates for interviews. Interviews will be online and are scheduled for Thursday 23 and Friday 24 July. Short-listed candidates may be invited to a follow-up interview and visit to NIOO-KNAW at a later stage of the recruitment process. If a candidate is unavailable on either date, alternative arrangements can be discussed.

 

About NIOO
The Netherlands Institute of Ecology (NIOO) is a national research institute of the Royal Netherlands Academy of Arts and Sciences (KNAW). At NIOO we perform ecological research on biodiversity, climate change and sustainable use of land and water. We stimulate ecological research in the Netherlands and share our ecological knowledge with society. Everyone in our organisation is passionate about contributing to a sustainable world from their own area of expertise.

 

Terms of employment
Depending on education and experience the minimum salary is € 3.059 and the maximum salary is € 3.881 gross per month for a full-time appointment (scale P cao Nederlandse Universiteiten/KNAW). This is exclusive of 8% vacation allowance, 8.3% year-end bonus, travel allowance, internet allowance, home working allowance and pension accrual with ABP.

The KNAW offers its staff an excellent package of secondary benefits. A package that meets the different needs of employees depending on their stage of life, lifestyle or career ambitions. For example, by working an extra two hours a week, it is possible to increase the number of days off from 29 to 41 days a year (with full-time employment).  

For a complete overview of the terms of employment, please refer to the web page: werken bij de KNAW.

Applying for a Certificate of Good Conduct can be part of the employment procedure.

 

Diversity & Inclusion
The KNAW considers a working environment in which everyone feels welcome and appreciated of great importance. A working environment in which attention is paid to individual quality and where development opportunities are paramount. Together we strive for an inclusive culture in which we embrace differences. We would therefore like to invite candidates who want to contribute to this through their background and experience. In the event of equal suitability, preference will be given to the candidate who thus enhances diversity within the Academy.


We will not respond to any supplier enquiries based on this job advertisement.

Related keywords

Population EcologyDemographic RiskResilienceWild BirdsEcological ForecastingTime-series AnalysisBayesian StatisticsRStanBiodiversity MonitoringOpen ScienceComputational EcologyQuantitative BiologyNIOO-KNAWSPI-Birds Network

About KNAW - Koninklijke Nederlandse Akademie van Wetenschappen

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Forum, stem en geweten van de wetenschap in Nederland

Industry
Research Services
Company size
1,001-5,000 employees
Founded
1808
Headquarters
Amsterdam, NL
LinkedIn followers
35,954

De Koninklijke Nederlandse Akademie van Wetenschappen is het forum, de stem en het geweten van de wetenschap in Nederland. Haar instituten behoren met hun onderzoek en hun collecties tot de (inter)nationale top. Aan de basis van al haar activiteiten ligt de overtuiging dat kennis en creativiteit de belangrijkste grondstoffen zijn voor welzijn en welvaart.

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Frequently asked questions

How many Data & Analytics jobs are open in Wageningen, Netherlands right now?

There are currently 5 open data & analytics positions in Wageningen, Netherlands listed on Clera. New openings are added daily as companies post roles.

Which companies are hiring for Data & Analytics roles in Wageningen, Netherlands?

Companies currently hiring include KNAW - Koninklijke Nederlandse Akademie van Wetenschappen, Unilever, Bayer, among others. Browse the listings above to see every active employer.

Are there remote or hybrid Data & Analytics jobs in Wageningen, Netherlands?

Yes — 3 of the 5 open data & analytics positions offer remote or hybrid work (0 remote, 3 hybrid).

How do I apply for Data & Analytics jobs in Wageningen, Netherlands?

Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

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