22 parallel-computing-numerical-methods positions at Aarhus University in Postdoctoral in Denmark
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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 18-month Postdoctoral Research Fellow position focused on Human-Centered AI and Data Visualization
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
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local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the seafloor and sub
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, vegetation-plot, remote-sensing or environmental datasets; knowledge of climate and land-use scenarios, including SSP/RCP-based projections, and methods for propagating or quantifying model uncertainty
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already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that would be ideal. Experience specifically with research on consumers or citizens
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, or other participatory research methods is welcome but not required. Experience with food consumption, sustainability, or circular economy research is an advantage but not a requirement. Note that you do not
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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sustainable and resilient agricultural systems. The research team you will join is coordinating an international program that brings together leading scientists from around the world to investigate beneficial