PhD Student in Biodiversity Stockholm University invites applications for a fully funded four-year PhD position in Data-Driven Evolution and Biodiversity, focusing on plant extinction. The position is part of the Research School of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). This programme aims to train the next generation of data-driven life scientists. The deadline for applications is July 31, 2024.
PhD Student in Data-Driven Evolution and Biodiversity: Plant Extinction
Summary Table
| Designation | PhD Student in Data-Driven Evolution and Biodiversity |
|---|---|
| Research Area | Data-Driven Evolution and Biodiversity: Plant Extinction |
| Location | Stockholm, Sweden |
| Eligibility/Qualification | Master’s degree in relevant fields; specific coursework and project experience required |
| Job Description | Develop quantitative methods for plant extinction assessments using AI and data analysis |
| How to Apply | Via Stockholm University’s recruitment system with specified documents |
| Last Date for Apply | July 31, 2024 |
Designation
PhD Student in Data-Driven Evolution and Biodiversity
Research Area
Data-Driven Evolution and Biodiversity: Plant Extinction
Location
Stockholm University, Department of Ecology, Environment and Plant Sciences, Arrhenius Laboratories, University Campus at Frescati, Stockholm, Sweden.
Eligibility/Qualification
- 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).
Job Description
The selected PhD student will work on developing new quantitative methods for plant extinction assessments using digitised herbarium data and species traits, distributions, and threats. The project involves training in Red List assessments, probabilistic modelling, machine learning, and computational approaches in biodiversity science. Supervision will be provided by Associate Professor Aelys Humphreys and an international team of collaborators.
How to Apply
Applicants must apply through Stockholm University’s recruitment system, 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)
Last Date for Apply
July 31, 2024
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/.
