33 finite-element-analysis PhD positions at Technical University of Munich in Germany
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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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and policy, digitalisation, AI and smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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-based spatio-temporal interpolation methods • Geophysical interpretation and analysis of the results and impact assessment of past and projected future changes along the coast • Literature research
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analysis, and infrared thermography. Industry-wise, the focus is on cooperation with companies from the automotive, aeronautic, and energy sectors. Our main location is in Garching near Munich. YOUR TASKS
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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competitive analysis, market landscape overview, and positioning for subsequent fundraising and go-to-market activities. • Lead the acquisition of future funding in close collaboration with the fundraising team
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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. • Collaborate with project partners. • Contribute to the preparation and analysis of data for publication and presentations. The following qualifications will be of advantage but are not stringently required