15 Postdoctoral Fellowship at Stockholm University, Sweden

We are seeking a postdoctoral researcher for our interdisciplinary project, Tracing How Atlantic Water Impacts North Greenland (THAWING), funded by the Swedish Knut and Alice Wallenberg Foundation (https://kaw.wallenberg.org/inflode-av-atlantvatten-i-arktis-hotar-gronlands-isar). This postdoctoral position is one of several within THAWING and is particularly suited for a scientist with expertise in marine geophysics.
 
You will work with high-resolution sub-bottom profiles and multibeam bathymetry data, collected during three expeditions to North Greenland fjords and the Lincoln Sea aboard the Swedish icebreaker Oden. The key responsibilities are:

• Process and analyze marine geophysical datasets and integrate sediment core information to interpret seabed geology.
• Collaborate with experts in marine geophysical mapping, sedimentology, proxy reconstructions, paleoceanography, physical oceanography, and ocean and ice-sheet modeling.
• Contribute to developing conceptual models of past and future ocean forcing on North Greenland’s marine glaciers and sea ice.

This position offers an exciting opportunity to contribute to critical climate research, utilizing cutting-edge geophysical tools to improve our understanding of Atlantic Water’s role in shaping the future of North Greenland’s cryosphere. The postdoctoral appointment is for two years, with the possibility of a one-year extension.

We are seeking a postdoctoral researcher for our interdisciplinary project, Tracing How Atlantic Water Impacts North Greenland (THAWING), funded by the Swedish Knut and Alice Wallenberg Foundation (https://kaw.wallenberg.org/inflode-av-atlantvatten-i-arktis-hotar-gronlands-isar). This postdoctoral position is one of several within THAWING and is particularly suited for a scientist with expertise in numerical ice-sheet modelling. 

You will work with ice sheet modelling using the ISSM (Ice Sheet and Sea-level System Model, https://issm.jpl.nasa.gov/) and focusing on the northern Greenland Ice Sheet margin and its outlet glaciers, of which some have the last remaining floating tongues along the northern Greenland margin and therefore been the targets of three successful previous expeditions with IB Oden (Petermann 2015; Ryder 2019; GEOEO North of Greenland 2024).  

Your key responsibilities are:

• Numerical modelling: Setting up a 3d-framework for the northern Greenland ice sheet margin, including processes and/or parametrizations of grounding line migration, subglacial hydrology and discharge, calving, submarine melt, ice mélange buttressing etc so that as realistic as possible simulations can be performed under a range of climate and ocean scenario forcing.
• Collaborative research: Integrate observational data acquired during the above-mentioned expeditions into the ice sheet modelling framework, including in particular newly acquired subglacial topography in the terminus region of CH Ostenfeld Glacier, and across the grounding zones of Ryder and Petermann glaciers
• Collaborative research: Interact with other ice sheet and ocean and fjord circulation modellers at Stockholm University, withing the geo- and climate sciences but also extending to the Dept. of Mathematics where ice sheet model development is ongoing.
• Dissemination: Publish results in leading scientific journals and present findings at international conferences.

In this role, you will investigate ocean-glacier interactions using theoretical approaches and ocean-circulation modeling. Our research group has gathered unique data from three icebreaker expeditions to North Greenland, which can be integrated into your work. A key research question is how Earth’s rotation and fjord-glacier geometry limit the inflow of warmer Atlantic Water toward glaciers, thereby influencing subsurface melt on marine glaciers.

As part of the project, you will have the opportunity to:

• Explore the interactions between processes near the ocean-glacier interface and the flow constraints imposed by rotation and fjord-glacier geometry; factors ultimately controlling the relationship between marine glacier melt and oceanic conditions on a larger Arctic scale.
• Collaborate with experts in physical oceanography, ice-sheet dynamics, marine geophysics, and paleoceanography.
• Contribute to advancing our understanding of the complex interplay between the ocean and North Greenland’s Ice Sheet, and how this influence both past and future changes in climate and sea level.

The successful candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required.

The Selected postdoc will be joining the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. J. Griffié, which is primarily composed of engineers, physicists and mathematicians. The lab is based at SciLifeLab in Stockholm, a vibrant and dynamic science hub, with a particular focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnosis as well as graph neural networks for microscopy.

We are looking for a postdoc to join our yeast evolution and genomics lab at Stockholm University. The applicant will develop a project that harnesses the power of experimental evolution and comparative genomics in the model system Saccharomyces, to address fundamental questions in evolutionary biology. Specific aims are to investigate 1) parallel evolution of climate adaptation in yeast from Europe and South America, 2) the genetic architecture of thermal traits, and 3) the evolution of pathogenicity as a by-product of thermotolerance.

The position will be associated with grants of Wushi Goldring funded by the Swedish Research Council and/or the Knut and Alice Wallenberg Foundation. We invite applicants working in the areas listed above. We are particularly interested in both

• Candidates who are interested in collaborating with Goldring on developing applications of group theory, particularly reductive groups, to their areas of expertise.
• Candidates working on the Langlands Program, Shimura varieties, flag varieties and/or reductive groups and their generalizations, such as Coxeter groups and Kac-Moody groups.

Wushi Goldring strives to support and achieve Diversity, Equity and Inclusion in his research group and beyond.

We are offering a Postdoctoral Fellow position within the LignoLife project, funded by the Knut and Alice Wallenberg Foundation through the Wallenberg Academy Fellows program. This project focuses on developing innovative materials by combining living microbial cells with lignin—creating new opportunities for sustainable and functional biomaterials. You will be responsible for developing methodologies and conducting microbial cultivations to identify suitable microbial strains for various applications, such as biocompatibility, self-healing properties, or biodegradation potential.

This position is within the Sustainable Materials Chemistry (SUSMATCHEM) research group, which focuses on developing materials from industrial side-streams, with lignin as a key area. The group includes around 25 members with diverse expertise in chemistry and engineering. You will collaborate within this interdisciplinary team and conduct bottom-up research on hybrid living materials, contributing to the broader goal of replacing fossil-based materials and promoting sustainable solutions.

We are seeking a postdoctoral researcher for our interdisciplinary project focused on understanding submarine glacial landforms and their implications for glacial ice dynamics and ocean systems. This position is ideal for a geoscientist with expertise in submarine geomorphology and glacial geology as well as experience in working with marine geophysical mapping data. You will analyze high-resolution seafloor terrain models collected via multibeam sonar systems, interpreting these features to advance our knowledge of ice dynamics, ice-ocean interactions and the processes shaping the seafloor. You will:

• Collaborate with machine learning specialists to develop models for automatic recognition and classification of submarine landforms.
• Provide critical geological insights to validate and refine machine learning outputs
• Contribute to understanding how glacial ice moves, melts, and impacts ocean systems under climate change.

This role offers a unique opportunity to bridge traditional geological methods with cutting-edge computational approaches. This postdoctoral position is for two years, with the possibility of a one-year extension. It is part of a project funded by the Knut and Alice Wallenberg Foundation, which focuses on leveraging machine learning to interpret seafloor patterns and better understand the behavior of marine glaciers. The project involves collaboration with other postdoctoral scientists, PhD students, and faculty, as well as key international partners at the University of New Hampshire (USA), Scripps Institution of Oceanography (USA), and JAMSTEC (Japan). The Department of Geological Sciences hosts one of four regional centers within the Nippon Foundation-GEBCO Seabed 2030 project. Launched in 2017, Seabed 2030 aims to inspire ocean mapping and deliver a complete map of the world’s ocean floor by 2030 for the benefit of humankind. 

We are seeking a postdoctoral researcher for our interdisciplinary project aimed at developing and applying advanced machine learning techniques to recognize and classify submarine glacial landforms. This position is ideal for a scientist with expertise in machine learning and a strong interest in environmental or geoscientific applications. You will work with high-resolution seafloor terrain models, primarily collected via multibeam sonar systems, to develop robust computational tools for analyzing large geophysical datasets. You will:

• Apply advanced machine learning methods (e.g., supervised learning, clustering, neural networks) to classify submarine landforms.
• Collaborate with geomorphologists to ensure geological relevance and validate model results.
• Contribute to developing scalable tools for analyzing marine geophysical data, aiding predictions of glacial ice dynamics under climate change.

This role offers an exciting opportunity to merge cutting-edge computational techniques with pressing environmental research. This postdoctoral position is for two years, with the possibility of a one-year extension. It is part of a project funded by the Knut and Alice Wallenberg Foundation, which focuses on leveraging machine learning to interpret seafloor patterns and better understand the behavior of marine glaciers. The project involves collaboration with other postdoctoral scientists, PhD students, and faculty, as well as key international partners at the University of New Hampshire (USA), Scripps Institution of Oceanography (USA), and JAMSTEC (Japan). The Department of Geological Sciences hosts one of four regional centers within the Nippon Foundation-GEBCO Seabed 2030 project. Launched in 2017, Seabed 2030 aims to inspire ocean mapping and deliver a complete map of the world’s ocean floor by 2030 for the benefit of humankind.