Postdoc position in the group for Scientific Visualization at the Division of Media and Information Technology, Linköping University.

Work assignments

This position is part of a joint collaboration between the two of the 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.

Within the WASP-DDLS financed project “Enlightening biology: bridging time-resolved experiments in silico”, two postdocs will work jointly on designing visual analysis methods with the aim of gaining a deeper understanding of light-induced biological processes.

Large-scale simulations rooted in quantum mechanics are currently being developed to understand light-induced processes in biological systems that produce complex, feature-rich, and high-dimensional data in addition to traditional molecular dynamics trajectories. However, extracting meaningful information from this data that provides new insight is still an open challenge. The goal of this postdoc position is to explore and develop a variety of novel analysis and visualization techniques with the aim to capture meaningful summaries of, and the features within, this complex high-dimensional data. Techniques from topological data analysis (TDA) will be extensively used to summarize and define robust comparison metrics for scalar and multifield data, as well as for tasks such as extraction, comparison, and tracking of features within. From the perspective of visualization, we aim to develop novel methods to combine the sub-fields of molecular and multifield visualization. We anticipate that our innovative methods will pave the way for a new, independent sub-area within the field of scientific visualization research, with significant potential for growth in the future.

More information and application

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