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Uppsala University

Just Landed

PhD student in Limnology: Modelling phytoplankton succession in lakes Uppsala University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 25, 2026

Country flag

Country

Sweden

University

Uppsala University

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Keywords

Computer Science
Environmental Science
Biology
Earth Science
Eutrophication
Freshwater Ecology
Phytoplankton Ecology
Functional Ecology
Statistics
Programming Language
Cambio Climático
Physics

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About this position

This PhD project at Uppsala University is based in the Department of Ecology and Genetics within the Limnology program at the Evolutionary Biology Centre (EBC). The project focuses on phytoplankton succession in lakes and how these communities respond to environmental change.

The student will work on process-based biogeochemical and dynamical modelling to study the drivers of seasonal changes in phytoplankton community composition. The research examines how physical and chemical conditions, predation pressure, and functional traits shape successional patterns, and how these patterns may shift under future scenarios such as climate warming, eutrophication, and extreme weather events.

The project aims to improve forecasting of phytoplankton community change and its implications for lake ecosystem functioning and drinking water provisioning. The position is embedded in an internationally diverse and collegial research environment with a strong emphasis on biogeochemistry and the ecology of inland waters, and includes collaboration in research teams alongside data handling, teaching, and course work.

Funding details

Available

What's required

Applicants must hold a Master's (second-cycle) degree in limnology, aquatic ecology, environmental sciences, geoscience, biology, environmental engineering or another relevant subject at the time of employment, or have completed at least 240 higher education credits with at least 60 credits at Master's level including an independent project worth at least 15 credits, or have equivalent knowledge. Candidates who have not yet completed their degree but are expected to meet the requirements before the start date are encouraged to apply. The work requires advanced numerical skills (such as modelling, statistics, or large-scale data analysis), some programming experience in R or Python, and a very high level of spoken and written English. Independence, strong motivation, and teamwork skills are important. Additional desirable experience includes lake or other process-based models, familiarity with stratification and aquatic biogeochemical cycles, and a good understanding of phytoplankton ecology.

How to apply

Apply through the Varbi application portal using the advert link. Include a cover letter, CV, brief education description, master's degree and transcripts, master's thesis, contact details for at least two references, and any publications.

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