Fully Funded PhD Scholarship in Biodiversity, Sweden

Explore fully funded PhD scholarships in biodiversity at Stockholm University, Sweden. Start your research journey today!

Stockholm University’s Biodiversity invites applications for a fully-funded four-year PhD position in Data-Driven Evolution and Biodiversity, focusing on plant extinction. Operating for a period of four years, the position is full time – 100% FTE – with salary paid by SEK monthly according to local agreements. It is a part of Research School SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) whose purpose is to educate the forthcoming data-driven life scientists. The deadline for applications is 31st July 2024.

Job Description

The chosen candidate for the PhD position will be responsible for formulating novel quantitative techniques used to appraise plant loss with the help of digital records from herbariums together with characteristics of plant species, their locations and threats impacting them. At the same time, it includes learning about combined approaches in biodiversity analyses that involve issues like processing Red List assessments probabilistically; applying machine learning and computational methods. The supervisor will be an Associate Professor called Aelys Humphreys who will be assisted by other collaborators internationally.

Eligibility

• Completed a second-cycle degree or equivalent.
• At least 240 higher education credits, with 60 credits in the second cycle.
• At least 60 credits in the second cycle in Plant Systematics, Ecology, or Evolution, including a 15-credit course and a 30-credit project.
• Strong interest in and experience with quantitative methods and computational approaches in Ecology and Conservation Science.
• Proficiency in scripting or programming languages (e.g., R or Python).

How to Apply

Applicants must apply through Stockholm University’s official portal, ensuring that their application is complete and submitted before the deadline. The application should include:

• Contact details and personal data
• Highest university degree
• Language skills
• Contact details for 2–3 references
• Cover letter (max 2 pages) detailing expectations, interest in the project, and suitability
• CV including degrees, courses, work experience, and degree projects/theses
• Degree certificates and grades confirming eligibility (max 6 files)
• Degree projects/theses (max 6 files)

For more information, contact Associate Professor Aelys Humphreys (aelys.humphreys@su.se) or the subject representatives Professor Catarina Rydin (catarina.rydin@su.se) and Professor Tanja Slotte (tanja.slotte@su.se). Additional details are available at www.scilifelab.se/data-driven/ddls-research-school/.

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