06 Postdoctoral Fellowship at Linkoping University, Sweden

The research aims at contributing to unravelling the future of management in a context where intelligent technologies become an important part of complex systems as can be found in e.g. transportation, healthcare, power supply and represent systems infrastructure that is critical for society. The way we approach complex intelligent systems will have huge impact on our ability to benefit from artificial intelligent (AI) as well as avoiding negative consequences. The overall research question is “How can organisations be managed to responsibly contribute to, and benefit from, the emergence of artificial intelligence and complex intelligent systems?” The research combines technology and management perspectives while considering social aspects.

The selected candidate is expected to conduct qualitative research on nuclear power from a humanities or social science perspective. That means to study and analyse how nuclear power has been and is a changing phenomenon: historically, culturally, and socially. For example, this could be studies of nuclear power as critical heritage, of the ways nuclear power is reshaping landscapes and environments, or of nuclear power as a starting point for how we understand the Anthropocene. The research will be part of the ongoing international research project “Nuclear Natures”. The project studies “nuclear natures” in relation to active nuclear power plants, to decommissioning of plants, and to final disposal of nuclear waste in Sweden, Finland, and Germany. The specific topic of study is open to be formulated by the candidate, in dialogue with the research leader.

You will work in a project aimed at unravelling binding sites and underlying molecular mechanisms of endogenous and pharmacological compounds interacting with voltage-gated potassium ion channels, and at developing new pharmacological compounds. To this end, the project uses interdisciplinary approaches such as electrophysiology, molecular biology and molecular dynamics simulations. You will be a key team member using molecular dynamics approaches and will interact closely with the other experimental team members in your research group

We are looking for candidates specializing in epistemology and/or philosophy of mathematics. The candidate will work in collaboration with Dr. Silvia De Toffoli on her project entitled “Humanizing Mathematical Knowledge: Fallibility, Technology, and Know How” funded by a Wallenberg Academy Fellowship and based at Linköping University. The candidate should strengthen the epistemological components of the project. As a postdoc, you will principally carry out research. However, you will also be expected to help with the organization of seminars and other scientific events as well as with grant writing. You will be formally based at the Department of Culture and Society (IKOS). A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.  You will be expected to carry out most of your research in Linköping. This includes regular participation in the research group’s activities and programs (seminars, workshops, conferences, etc.).

The research area for the advertised position lies in the intersection of machine learning, deep learning, computer graphics and computer vision. The goal is to create synthetic image data with combinations of computer graphics and generative deep learning. The generated images will be used as training data in machine learning applications, for improving performance and robustness, or as a tool for anonymizing sensitive images. The developed methods will be tested in various applications, e.g. for medical imaging diagnostics. The project includes both basic research on the development of new image generation methods, as well as applied research to show the benefits of the new methods.

This position is part of the post-doctoral research project “Data-driven application to protein-protein interactions”, which is a joint interdisciplinary research project between professor Björn Wallner at Linköping University (Björn Wallner – LiU) and associate professor Alexey Amunts at SciLifeLab (Alexey Amunts – SU) with aim of using and develop AI methods to understand protein-protein interactions and apply them to biologically relevant problems for which we have cryo-EM data. The project involves using existing methods, i.e., AlphaFold, and developing new AI methods that are specific tailored to the problem and the data available. The position is based at the AI structural biology group at LiU, but it also includes extensive collaborations with the cryo-EM group at SciLifeLab.