10 Postdoctoral Fellowship at Stockholm University, Sweden

The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems. The candidate is expected to carry out research and publish their findings in top conferences and journals, and help in the management of the group, as well as supervision of students on research projects. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia. The job description may be changed during the contract period or upon contract renewal.

The position is primarily funded by two grants of Tom Britton: the Swedish Research Council and Strategic Faculty funding, with the aim to conduct research in infectious disease modelling and its statistical methodology. We are looking for candidates with experience and interest in stochastic epidemic modelling and its related statistical methodology. The research can be theoretical or applied or both. 

Microorganisms drive biogeochemical cycles and underpin food webs making them essential for the health and functioning of marine ecosystems. At the Baltic Sea Centre at Stockholm University research focuses on scientific issues important for understanding and managing the Baltic Sea. SeaLab – a joint research venture between the Baltic Sea Centre and the Environmental Genomics group at SciLifeLab – contributes through exploration of the marine microbiome. At SeaLab, we investigate microbial metabolism using gene, transcript and protein inventories coupled to environmental metadata.

This position will focus on microorganisms that produce and consume greenhouse gases (GHGs) and volatile organic compounds (VOCs) in the coastal Baltic Sea. While coastal ecosystems have generally been regarded as carbon sinks, recent research has shown that they can also emit methane, nitrous oxide, and underexplored VOCs. Microbial activity is key to these emissions, but we need to understand how different processes are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions.

We look for candidates in probability theory for a research project concerning spatial growth models such as first- and last-passage percolation. The project is led by docent Daniel Ahlberg, and financed by the Knut and Alice Wallenberg foundation for the recruitment of researchers from outside Sweden for a two-year postdoctoral position.

The position involves research in the theory of topological phases in collaboration with Emil J. Bergholtz and other researchers in Stockholm as well as with our collaborators elsewhere. A suitable background is a PhD in theoretical physics specializing in theoretical condensed matter physics, high energy physics or mathematical physics. Special focus is on our two core activities in non-Hermitian topology and fractional Chern insulators.

The postdoc will contribute to a project examining the role of heat stress on butterfly infertility to answer fundamental questions about the impact of climate change on insect populations. Specific goals are to: 1) examine thermal fertility limits in a comparative phylogenetic context, 2) establish the ecological relevance of these limits by surveying natural populations, 3) quantify adaptive potential of these limits by testing for local adaptation on continental scales and 4) using these data to evaluate the extent that thermal fertility limits and local adaptation improve forecast accuracy of butterfly responses to climate change.

We are looking for a postdoctoral fellow for the development of advanced analytical methods and workflows for novel textile materials as well as novel processes for textile manufacturing and upcycling. The project is based on collaborations within a wide network of researchers from both academia and industry. The overall aim is the development of “greener” and more sustainable textiles and textile processes.  

The position will be associated with Assistant Professor Lisandro Milocco’s research group located at SciLifeLab (Solna) and the Department of Zoology, Stockholm University. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/

Our group focuses on studying different aspects of evolvability – the ability of organisms to evolve. We are interested in developing computational and mathematical tools to understand and quantify evolvability while exploring its potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/

This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover the developmental rules underlying phenotypic variation. The successful postdoctoral fellow will develop and implement an empirical framework that utilizes data-driven algorithms to learn relationships between past and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both simulated and available experimental datasets. This role offers a unique opportunity to translate transformative theoretical insights into a practical framework for understanding how new phenotypic variation arises.