The Division of Statistics and Machine Learning (STIMA) at Linköping University is recruiting several Postdocs in Machine Learning of which one position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.
In collaboration with Prof Sebastian Westenhoff at Uppsala University, we will develop novel algorithms to include instance-specific experimental constraints in machine learning models, effectively bridging the gap between AI predictions and experimental observation. The algorithms will be widely applicable in many areas of AI. However, in particular we will focus on combining machine-learning-based protein structure predictions with experimental constraints obtained by single-particle cryo EM, to improve structure prediction and characterization of conformational heterogeneity of proteins. Relevant machine learning skills include graph neural networks, geometric deep learning, transformers, energy-based models, ensembles, and Monte Carlo methods.
The LiU postdoc will represent the Wallenberg AI, Autonomous Systems and Software Program (WASP) in this cross-disciplinary project. WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.
The project is done in close collaboration with Westenhoff’s lab and a DDLS-funded postdoc in Uppsala. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people’s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors.