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Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal

Wissenschaftliches Personal

Stellenanzeigen sollen von den jeweiligen Einrichtungen selbst eingetragen werden. Dazu sind Mitarbeiterrechte im Portal erforderlich. Dies ist bei allen in TUMonline enthaltenen Mitarbeitern automatisch der Fall.

Bitte geben Sie bei allen Anzeigen eine aussagekräftige Bezeichnung der Aufgabe, eine Beschreibung und durch Komma getrennte Keywords an. Die Bezeichnung 'Wissenschaftlicher Mitarbeiter' ist nicht sinnvoll, da hier nicht erkenntlich ist um welches Fachgebiet bzw. um welche Aufgabe es geht.

Eine Anleitung finden Sie in der Kurzanleitung für Stellenanzeigen und (ausführlicher) im Best Practice Manual Stellenanzeigen (pdf)

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12.01.2022
Wiss. Mitarbeiter (m/w/d) für den Bereich „Circular Economy in der Logistik“

Der Lehrstuhl für Fördertechnik Materialfluss Logistik freut sich über Initiativbewerbungen im Bereich „Circular Economy in der Logistik“.
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Kontakt: bewerbung.fml@ed.tum.de

12.01.2022
Wiss. Mitarbeiter (m/w/d) für den Bereich „Robotik in der Intralogistik“

Der Lehrstuhl für Fördertechnik Materialfluss Logistik freut sich über Initiativbewerbungen im Bereich "Robotik in der Intralogistik"
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Kontakt: bewerbung.fml@ed.tum.de

12.01.2022
Wissenschaftliche Angestellte (m/w/d) Recyclingkonzepte, -netzwerke und Geschäftsmodelle

Die Professur für Circular Economy am TUM Campus Straubing für Biotechnologie beschäftigt sich mit der Gestaltung, Analyse, Bewertung und Optimierung von nachhaltigen Kreislaufwirtschafts- und Bioökonomiesystemen. Wir suchen für unser junges Team ab sofort eine/einen Wissenschaftliche(n) Angestellte(n) (m/w/d) Recyclingkonzepte, -netzwerke und Geschäftsmodelle
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Kontakt: Prof. Dr. Magnus Fröhling (magnus.froehling@tum.de)

11.01.2022
Postdoc (m/w/d) im Team „Phytometabolomics“

Am Lehrstuhl für Lebensmittelchemie und Molekulare Sensorik der School of Life Sciences an der Technischen Universität München ist die Stelle eines wissenschaftlichen Mitarbeiters (m/w/d) in Vollzeit zu besetzen.
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Kontakt: Angela Lebedicker (angela.lebedicker@tum.de)

11.01.2022
Research Associate Position (m/f/d) in the field of Bidirectional District Heating and Cooling Networks

The Technical University of Munich (TUM) and its Research Center for Combined Smart Energy Systems (CoSES) in close collaboration with the Chair for Energy Economy and Application Technology (EWK) offer a Research Associate Position (PhD Position) in the field of Bidirectional District Heating and Cooling Networks.
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Kontakt: mail.emt@ed.tum.de

11.01.2022
Two PhD Positions in Magnetic Resonance Imaging Methodology

The Department of Diagnostic and Interventional Radiology at the Technical University of Munich (TUM) invites applications for two PhD positions in methodological developments for quantitative Magnetic Resonance Imaging (MRI).
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Kontakt: dimitrios.karampinos@tum.de

11.01.2022
PhD Position in the IAS Focus Group Scientific Machine Learning on Dynamic Neural Networks

We are looking for a researcher (PhD candidate) to join our team at the Institute for Advanced Study, in the Focus Group "Scientific Machine Learning" involving Hans Fischer Senior Fellow Prof. Wil Schilders (Eindhoven University of Technology) and his host Prof. Hans-Joachim Bungartz (Chair of Scientific Computing in Computer Science–SCCS, TUM Department of Informatics). Pivotal to the PhD project is the challenge of embedding prior knowledge into the design of dynamic neural networks.
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Kontakt: Dr. Felix Dietrich, phdapplications@mailsccs.in.tum.de

11.01.2022
PhD position in machine learning with linear operators

We are looking for two motivated researchers with a mathematics or informatics background, to work on machine learning and linear operator theory. Their projects will be embedded in the Emmy Noether research group by Dr. Felix Dietrich, at the chair of Scientific Computing in Computer Science of TUM. Remuneration is 100% TVL E13 according to the German public sector rates. The candidates have the opportunity to pursue a doctoral degree (Ph.D.), and will be working together in the same research group.
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Kontakt: Dr. Felix Dietrich, phdapplications@mailsccs.in.tum.de

11.01.2022
Scientific Researcher for HPC Resource Management and Scheduling (m/f/d)

The Chair for Computer Architecture and Parallel Systems (CAPS) offers a scientific researcher position (100% TV-L E13) in the area system software research for High Performance Computing on the path the Exascale. The work will focus on the development of new resource management and job scheduling techniques that map parallel applications to target systems in a most energy efficient manner. Work will include design, implementation and evaluation of novel techniques for capturing and fulfilling dynamically changing application and system requirements, the participation in standardization techniques to ensure a long-term viability of the research as well as active dissemination via publica-tions and conference participation. CAPS is part of TUM’s department of Informatics, one of the leading CS departments in Europe. We focus on a wide range of aspects of computer architecture – from edge and IoT devices to HPC and cloud systems, from AI accelera-tors to quantum computing systems – as well as the needed system software needed to extract a maximum of effi-ciency form the respective architectures. The latter includes work on programming models, operating systems, scheduling, tools, I/O as well as application optimization.
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Kontakt: Prof. Dr. Martin Schulz: schulzm@in.tum.de

11.01.2022
Scientific Researcher for Architecture and Hardware Design (m/f/d)

The Chair for Computer Architecture and Parallel Systems (CAPS) offers several scientific researcher positions (100% TV-L E13) in the area of hardware design and development. As part of multiple projects we intend to design RISC-V based processors and accelerators for AI and Quantum Computing applications. Work includes architecture design, implementation and evaluation, simulation studies, reconfigurable hardware and hardware emulation, as well as the design of ASICs. In collaboration with partners we intend to tape-out fabricate the designed processors for actual hardware tests and validation. Further, the work includes the design and implementation of low-level software support as well as the integration into existing compute setups. CAPS is part of TUM’s department of Informatics, one of the leading CS departments in Europe. We focus on a wide range of aspects of computer architecture – from edge and IoT devices to HPC and cloud systems, from AI accelerators to quantum computing systems – as well as the needed system software needed to extract a maximum of efficiency form the respective architectures. The latter includes work on programming models, operating systems, scheduling, tools, I/O as well as application optimization.
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Kontakt: Prof. Dr. Martin Schulz: schulzm@in.tum.de

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