PhD Position in Plant SciencesStockholm Ref. No. SU FV-1759-24
at Department of Ecology, Environment and Plant Sciences. Closing date: 31 July 2024. Stockholm University is a leading European university in Sweden’s dynamic capital city. The University has more than 33,000 students, 1,600 doctoral students and 5,500 staff members active within the natural sciences and humanities. Research and education at the Department of Ecology, Environment and Plant Sciences (DEEP) is located in the Arrhenius Laboratories, situated at the University Campus at Frescati. Research spans a broad range of subject areas, including Ecology and Evolution, Ecotoxicology, Marine Biology, Plant Physiology, Plant Systematics and Environmental and Climate Sciences. Presently around 100 people in 25 research groups work at DEEP, including 35 PhD students and 10 postdocs. The research environment is characterized by its international focus and collaborative and stimulating working environment. Senior staff are active researchers as well as teachers, contributing to the University’s Biology Education at both Bachelor’s and Master’s levels. This position is part of the Research School of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data-Driven Life Science uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and create globally leading computational and data science capabilities in Sweden. The programme is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. During 2024, the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS programme more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS programme has four strategic areas: Cell and Molecular Biology, Evolution and Biodiversity, Precision Medicine and Diagnostics, Epidemiology and Biology of Infection. For more information, please see www.scilifelab.se/data-driven/ddls-research-school/. The future of life science is data-driven. Will you be part of that change? Then join us in this unique programme! Project description Data Driven Evolution and Biodiversity concerns research that takes advantage of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in Data-Driven Evolution and Biodiversity is part of the project ‘New probabilistic and AI methods for inferring recent and ongoing plant extinctions’. The student will develop new quantitative methods for extinction assessments and apply them to digitised herbarium data and information on species’ traits, distributions and threats to accelerate and improve estimates of plant extinction. The student will be trained in Red List assessments, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with an international team of collaborators associated with the project: Daniele Silvestro (University of Fribourg), Diana Fisher (University of Queensland), Alexandre Antonelli (Royal Botanic Gardens, Kew and Gothenburg University) and Jon Norberg (Stockholm University). Qualification requirements In order to meet the specific entry requirements, applicants must have completed at least 60 higher education credits in the second cycle, of which at least 15 credits must be from a course in one of the subject areas 'Plant Systematics', 'Ecology' or 'Evolution' and at least 30 credits must be from a project in one of the subject areas 'Plant Systematics', 'Ecology' or 'Evolution'. Applicants may also have otherwise acquired equivalent knowledge in Sweden or elsewhere. The qualification requirements must be met by the deadline for applications. Selection Candidates who can demonstrate a strong interest in and previous experience with quantitative methods and/or computational approaches and applications in Ecology and Conservation Science (including modelling, artificial intelligence and/or probabilistic methods) and who have a demonstrated prior knowledge of scripting or programming languages (e.g. R or Python) will have an advantage. Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations. Terms of employment Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position. Please note that admission decisions cannot be appealed. Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all. Contact Union representatives Application Please include the following information with your application
and, in addition, please include the following document
The instructions for applicants are available at: How to apply for a position. You are welcome to apply! Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
Closing date: 31/07/2024
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