22 microelectronics-doctoral Postdoctoral positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
: • A doctoral degree in mathematics or a closely related field. • An outstanding publication record, commensurate with experience, and a strong background in at least two of the following areas: Hopf
-
also on power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https
-
industry participants worldwide. Th position offers project-based work towards a doctoral degree (Dr. rer. nat.) at TUM, supported by a workplace with modern hardware and infrastructure, ranging from compute
-
into problems identified by research collaborators. The goal of the project is to amplify the voices and concerns of those most negatively impacted by AI. Requirements: - A doctorate in anthropology, sociology
-
network with partners from science and industry and take on responsibility at the chair right from the start. In your role as a post-doc, you will combine team and institute-oriented tasks with in-depth
-
% position at level E 14 TV-L (public sector pay scale). The post-doctoral researcher is expected to work in the area of entrepreneurship / family enterprise. The postdoc position (m/f/x) is limited to 24
-
, christian.deppe@tum.de) Your qualifications ▪ Master’s or doctoral degree in electrical engineering, communications engineering, mathematics, physics (or similar) ▪ Interest in theoretical work with high practical
-
PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine
-
our enthusiastic and collaborative group spirit. Post-doc: The applicant is expected to have a solid publication record in theoretical CS. Experience with biological applications, robotics applications
-
computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational