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. Advanced modeling techniques, such as surrogate modeling, machine learning, and physics-informed neural networks, will be applied to accelerate simulations and enable real-time performance. A strong emphasis
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project seeks to turn a problem into an opportunity, by developing digital tools and Life Cycle Assessment (LCA) models to (1) minimize waste and (2) accelerate circularity and sustainable resource use in
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reliance on manual scenario crafting, accelerate development cycles, and improve system robustness. By focusing on TalTech’s iseAuto shuttle platform, the project will connect theoretical contributions with
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engineering Engineering » Other Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Country Estonia Application Deadline 26 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full