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06.04.2023
PhD students wanted: become part of our prestigious TUM Autonomous Motorsport team
The Institute of Automotive Technology is looking for a research associate (m/f/d) to work in the Autonmous Vehicle Lab. If suitable, you will have the opportunity to do a PhD.
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Kontakt: maximilian.geisslinger@tum.de
06.04.2023
Open PhD Positions in Responsible Data Science at TU Munich
We are seeking highly motivated and talented candidates to join our interdisciplinary research group at the Technical University of Munich focused on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in general.
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Kontakt: gjergji.kasneci@tum.de
06.04.2023
Ph.D. students (f/m/d) in Physics-based Machine Learning
The Professorship for Multiscale Modeling of Fluid Materials at TUM Campus Garching is looking for two Ph.D. students (f/m/d) in Physics-based Machine Learning, 100% with starting date as soon as possible.
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Kontakt: info.mmfm@mw.tum.de
06.04.2023
Postdoc (f/m/d) in Physics-based Machine Learning
The Professorship for Multiscale Modeling of Fluid Materials at TUM Campus Garching is looking for a Postdoc (f/m/d) in Physics-based Machine Learning, 100% with starting date as soon as possible.
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Kontakt: info.mmfm@mw.tum.de
05.04.2023
PhD Position: Trajectory planning for autonomous systems in safety-critical situations (m/w/d)
We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and enthusiastic PhD researchers.
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Kontakt: johannes.betz@tum.de
05.04.2023
PhD Position: Trajectory and behavior planning under uncertainty (m/w/d)
We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking for highly motivated and enthusiastic PhD researchers.
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Kontakt: johannes.betz@tum.de
31.03.2023
Chair of Biological Imaging
Postdoctoral fellow in the development of instrumentation for high-resolution optoacoustic whole animal imaging (f/m/d)
We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of a novel type of optoacoustic in-vivo imaging system with superior resolution while maintaining penetration depth of several millimeters – going beyond state-of-the-art multiphoton and bioluminescence imaging in life-sciences alike.
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Kontakt: hhailong.he@tum.de
31.03.2023
Chair of Biological Imaging
PhD student in the development of instrumentation for high-resolution optoacoustic whole animal imaging (f/m/d)
We now seek a highly qualified and motivated PhD student (f/m/d) to drive the development of a novel type of optoacoustic in-vivo imaging system with superior resolution while maintaining penetration depth of several millimeters – going beyond state-of-the-art multiphoton and bioluminescence imaging in life-sciences alike.
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Kontakt: hhailong.he@tum.de
30.03.2023
PhD position in “Satellite Remote Sensing for Mapping Nitrogen Demand in Wheat”
Technical University of Munich (TUM) Precision Agricultural Lab (www.pa.wzw.tum.de) is looking for a PhD student to work on an interdisciplinary project that aims to map crop nitrogen requirements for better decision-making for the sustainable use of nitrogen in wheat.
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Kontakt: pa@wzw.tum.de
27.03.2023
Research Assistant at the Institute of Turbomachinery and Flight Propulsion
As a research assistant you will be responsible for the coordination and technical conduction of a 3-year research project, aimed at the experimental investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be able to experience hands-on testing of a high-speed and engine-representative compressor further increases of the efficiency and stability margin. The project is highly innovative, will generate fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements.
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Kontakt: bewerbung.ltf@ed.tum.de
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