188 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
-
(fixed-term). Completed master's degree, preferably a PhD degree, in a natural science field (e.g. environmental sciences, forestry, geography, landscape- or geoecology, biology, or a related discipline
-
and collaborations with start-ups and spin-offs. Excellent training and career support, including courses and personal coaching. Opportunity to pursue a PhD (but not required). Your Qualifications A
-
to an internationally competitive PhD degree and internationally peer-reviewed publications. The position will include significant involvement in selected nationally and internationally funded projects, such as various
-
computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
-
-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
-
) at the Technical University of Munich is looking for excellent candidates for a fully funded PhD position in the area of Scaling Agile IT Organizations to be filled in February 2025. Your Responsibilities Empirical
-
writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
-
representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
-
Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs