At a Glance
- Tasks: Analyse large-scale ecological datasets and contribute to innovative research on biodiversity.
- Company: Join a leading research centre focused on nature recovery and ecosystem resilience.
- Benefits: 38 days annual leave, excellent pension scheme, and childcare services.
- Other info: Collaborative environment with opportunities for academic publications and career growth.
- Why this job: Make a real impact on biodiversity and work with cutting-edge data science tools.
- Qualifications: PhD/DPhil in relevant fields and experience with ecological datasets required.
The predicted salary is between 30000 - 40000 £ per year.
The project combines large-scale camera trap datasets with quantitative ecological analysis to examine biodiversity, ecosystem functioning, and productivity across contrasting landscapes. The successful candidate will contribute to image processing, functional trait analysis, statistical modelling, and the estimation of energetic flows within ecological communities, helping to identify ecological responses that are not captured by conventional biodiversity metrics.
We are seeking a candidate who holds, or is close to completion of, a PhD/DPhil in ecology, environmental science, geography, conservation science, data science, or a related discipline. You should have experience working with ecological or environmental datasets, strong quantitative and analytical skills, and familiarity with computational or AI-assisted analytical tools. The ability to contribute to collaborative research, publications, and wider academic activities is essential. The role offers the opportunity to work within an interdisciplinary research environment focused on nature recovery, biodiversity, and ecosystem resilience.
Location and Contract: Leverhulme Centre for Nature Recovery, Environmental Change Institute, School of Geography and the Environment, South Parks Road, Oxford, OX1 3QY. The post is fixed term for 12 months from the start date and offered on a full‑time basis (1 FTE / 37.5 hours).
As an employer, we genuinely care about our employees' well‑being, and this is reflected in the range of benefits that we offer including:
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and season ticket travel loans
Postdoctoral Research Associate in Ecology and Environmental Data Science in Oxford employer: University of Oxford
At the Leverhulme Centre for Nature Recovery, we pride ourselves on fostering a collaborative and supportive work environment that prioritises employee well-being and professional growth. Our commitment to nature recovery and biodiversity is matched by our generous benefits package, including 38 days of annual leave and an excellent pension scheme, making us an ideal employer for those passionate about ecological research in the vibrant academic setting of Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Ecology and Environmental Data Science in Oxford
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We think you need these skills to ace Postdoctoral Research Associate in Ecology and Environmental Data Science in Oxford
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for a role in environmental engineering tech, make sure to highlight your technical skills like CAD software proficiency, data analysis, or modelling techniques. These are essential for the job and should stand out in your CV and cover letter, showing how you can contribute to projects at University of Oxford.
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Tailor Your Application to the Role:Don't just send a generic CV and cover letter. Make sure to tailor your application to the specific role of Postdoctoral Research Associate in Ecology and Environmental Data Science at University of Oxford. Highlight experiences that align directly with the job description and give concrete examples of your work to demonstrate that you’re the right fit for a full-time position.
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How to prepare for a job interview at University of Oxford
✨Brush Up on Environmental Regulations
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Prepare to demonstrate your proficiency with relevant tools and software, such as AutoCAD or GIS. You might be given a practical problem to solve during the interview, so it’s a great idea to brush up on these skills and perhaps even bring a portfolio of your projects to showcase your technical prowess.
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