*** Apologies for cross-posting *** Come and join us! We are seeking for an engaged and bright PostDoc to work with us in the areas of Information Visualization and Visual Analytics. This position (ref. LiU-2022-00141) is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) 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. The successful candidate will become member of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Information Visualization group at Linköping University (LiU) and the Systems Biology group at the Royal Institute of Technology (KTH) work closely together. There is a need for a functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. The new data-driven strategy to be developed in the project is based on interpretable unsupervised learning (e.g., dimensionality reduction and clustering) of whole-body co-expression patterns, supported by state-of-the-art visual analytics. Interactive guiding of the clustering process will be used to explore the gene expression landscape in humans and other mammalian species, and to create a whole-body map of all protein-coding genes in all major cell types, tissues and organs. This will allow for the improvement of the quality of the classification of all protein-coding genes according to their whole-body co-expression patterns, resulting in every gene being annotated to a unique expression cluster together with other genes with a similar body-wide pattern. The focus of this PostDoc position at LiU will be on research and development of an interactive and interpretable (human-in-the-loop) clustering strategy to reach these goals. The successful candidate will develop visual analytics approaches that provide fine-grained quality analysis of the clustering processes and better interpretation/annotation of clusters. Please visit the official vacancy website of Linköping University for a more detailed description of the duties, formal requirements, and on how to apply for this position: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=18150&rmlang=UK The application deadline is February 28, 2022. The advertised position will be affiliated to the iVis research group led by Professor Andreas Kerren (see http://bit.ly/ivis-liu), Linköping University, Norrköping Campus, which is part of the division for Media and Information Technology. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies. We are looking forward to receiving your application! Please also consider to share this message with any great candidates. Best regards, Andreas Kerren iVis Group @ Linköping University -- +------------------------------------------------------- + Prof. Dr. Andreas Kerren + + Linköping University + Department of Science and Technology + Kopparhammaren 2, Room 3028 + SE-602 33 Norrköping, Sweden + + Phone: +46 11 36 34 06 + Email: andreas.kerren@liu.se + WWW: https://liu.se/en/employee/andke01 + WWW: https://ivis.itn.liu.se +-------------------------------------------------------