Stockholm University calls aspiring PhD scholars to apply for several fully funded PhD positions in various scientific fields at the Department of science with a fixed-term employment of four years.
Below we list each position with a brief description and link to apply for your favorite pick.
1). PhD student in Environmental Science, the Chemical exposome and links to Health effects in pet animals
Project Description
In this project, much effort will be on the establishment of multi-target analytical method(s) for biological samples to establish the chemical exposome of pet animals. Research will include optimization of sample preparation steps, and the development of data processing strategies using open science tools for identification of unknown molecules in complex samples, with emphasis on quality control at all stages. Complementary GC and LC-Orbitrap technology, available at ScilifeLab in the Exposomics group will be utilized. The chemical exposome will be linked to the health status and biomarkers of the pet animals to establish associations.
Deadline: 15.Aug.2024 11:59 PM CEST
2). PhD student in Data Driven Evolution and Biodiversity: Plant Extinction
Project Description:
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).
Deadline: 31/07/2024
3). PhD student in Geochemistry and Petrology focusing on novel Carbon Dioxide Removal technologies
Project Description
This four-year project focuses on testing the hypothesis that metabasalts are suitable for CDR by mineralization. The hypothesis will be tested by performing flow through experiments on metabasalts that were formed at different pressures and temperatures. Training will be offered in fieldwork, petrology, experimental and analytical geochemistry and geochemical modelling. The successful applicant will join a team of petrologists and geochemists working on CDR at Stockholm University and Luleå Technical University.
Deadline: 07/07/2024
4). PhD student in Application of Machine Learning to Advance Bathymetric Seafloor Mapping and Data Compilation
Project Description:
This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super-resolution" to enhance acquired bathymetry data.
The PhD position is for four years. It is hosted at the Department of Geological Sciences, Stockholm University, and co-supervised from the Physics Department. The project includes key collaborators at the University of New Hampshire (USA), Scripps Institution of Oceanography (USA), and JAMSTEC (Japan) as well as at all partner institutes involved in the Seabed 2030 project. The position is partly funded by The Ocean Policy Research Institute of the Sasakawa Peace Foundation and partly by Stockholm University.
Deadline: 15/06/2024
5). PhD student in Marine Geology: Arctic Ocean borealization during past warm climates: signals from planktonic foraminifera
Project Description:
The purpose of this PhD project is to gain improved understanding of pelagic changes and plankton migration in the Arctic Ocean in response to Arctic Atlantification and borealization during warmer periods of the past 1-2 million years. The primary tool will be fossil planktonic foraminifera, supported by other sedimentary and geochemical datasets, from across the central Arctic and subpolar seas. The successful candidate will collect original data on foraminifera biodiversity and palaeobiology, shell chemistry and preservability, and use these parameters as tools to gain insight into plankton migration, pelagic evolutionary responses, paleoceanography, ocean geochemistry and climate change, as well as helping improve Arctic geo-chronological frameworks.
The primary materials for this work will be sediment cores obtained during Arctic/Nordic research cruises by Swedish, German and French expeditions, and new and legacy deep sea drill-core samples recovered by the International Ocean Discovery Program (iodp.org) from the North Atlantic, Arctic gateways and Baffin Bay. The selected candidate will be trained in foraminiferal taxonomy, morphometry and biostratigraphy, Quaternary Arctic palaeoceanography, marine sediment sampling methods and geochemical analysis within a network of international collaborators. AI/Machine learning approaches are also possible. The candidate will likely have the opportunity to participate in a 6-8 week expedition to the central Arctic Ocean during the project. The candidate is expected to generate, scrutinize and interpret original scientific data, present results at international conferences and to report these results in published scientific articles.
Deadline: 14/06/2024
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