PhD Student (m/f/d) (m/w/d)

Arbeitsplatz

2025-10-02+02:00 -

Die Ludwig-Maximilians-Universität München ist eine der führenden Universitäten in Europa mit einer über 500-jährigen Tradition. Sie steht für anspruchsvolle akademische Ausbildung und herausragende Forschung. Einrichtung Faculty of Mathematics, Informatics and Statistics - Mathematisches Institut Vergütung TV-L Umfang Full-time (100\%) Besetzungsdatum starting from now on Bewerbungsfrist 2025-10-22 About us: The Chair for Mathematical Foundations of Artificial Intelligence (https://www.ai.math.uni-muenchen.de (https://www.ai.math.uni-muenchen.de) ) at Ludwig-Maximilians-Universität München, one of Europe’s leading universities, is part of the HighTech Agenda of the Free State of Bavaria. Due to the size of our group, we maintain a broad and diverse research portfolio, offering an exciting and interdisciplinary working and research environment. Our current research focuses include (1) Reliable AI, e.g., expressivity, generalization ability, and explainability of (graph) neural networks, and (2) Sustainable AI, e.g., spiking neural networks as energy-efficient alternatives to classical neural networks. Additionally, we develop mathematics-based AI methods for inverse problems and PDEs, as well as AI-based learning of physical laws, with applications in medicine, robotics, and telecommunication. Wir suchen Sie: PhD Student (m/f/d) (m/w/d) am Standort München Das sind Ihre Aufgaben: ● Research in one of the group’s focus areas ● Publication of research results at international conferences and in leading journals ● Participation in academic self-governance of the group Das sind Sie: You are fascinated by the mathematical foundations of artificial intelligence and hold an excellent university degree in mathematics, computer science, or a related field. You work in a results-oriented and self-structured manner and are distinguished by your ability to work independently. In addition, you possess strong teamwork and communication skills, excellent analytical abilities, solid programming knowledge, a high level of commitment, and very good command of English. Das ist unser Angebot: Working at our chair offers you an interesting and responsible position with excellent opportunities for further training and professional development. You will receive individual support for your career, a fair salary based on your qualifications and professional experience (up to TV-L E13), flexible working hours, as well as the opportunity to collaborate with internationally leading researchers and to participate in training programs and conferences worldwide. A PhD is possible within the scope of the position. The position is limited to three years, with the possibility of extension. Your workplace is centrally located in Munich and easily accessible by public transport. Ludwig-Maximilians-Universität Munich is committed to increasing the proportion of women in its workforce and expressly encourages qualified women to apply. Part-time employment is generally possible. Severely disabled applicants will be given preference in the case of essentially equal qualifications. Also possible in a part-time capacity. Schwerbehinderte Personen werden bei im Wesentlichen gleicher Qualifikation bevorzugt. Kontakt: We look forward to receiving your application by email (one PDF, max. 5 MB) including the usual documents (cover letter, CV, copies of certificates and diplomas) by October 22, 2025, addressed to: Prof. Dr. Gitta Kutyniok, e-mail:[ sekretariat.kutyniok@math.lmu.de (sekretariat.kutyniok@math.lmu.de) ](mailto: sekretariat.kutyniok@math.lmu.de (sekretariat.kutyniok@math.lmu.de) ) For questions, please contact Prof. Dr. Gitta Kutyniok directly at[ kutyniok@math.lmu.de (kutyniok@math.lmu.de) .](mailto: kutyniok@math.lmu.de (kutyniok@math.lmu.de) ) Wo Wissenschaft alles ist. An der LMU arbeiten Wissenschaftlerinnen und Wissenschaftler auf höchstem Niveau an den Zukunftsfragen um Mensch, Gesellschaft, Kultur, Umwelt und Technologie, unterstützt durch kompetente Beschäftigte in Verwaltung, IT und Technik. Werden Sie Teil der LMU München! (https://www.lmu.de/de/die-lmu/arbeiten-an-der-lmu/index.html) Im Rahmen Ihrer Bewerbung auf eine Stelle an der LMU übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu die Datenschutzerklärung der LMU (https://www.lmu.de/de/footer/datenschutz/index.html) für den Internetauftritt. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzinformationen zur Kenntnis genommen haben und mit der Datenverarbeitung im Rahmen des Auswahlverfahrens einverstanden sind. Ludwig-Maximilians-Universität München Geschwister-Scholl-Platz 1 80539 München www.lmu.de (https://www.lmu.de/) Impressum (https://www.lmu.de/de/footer/impressum/index.html) Barrierefreiheit (https://www.lmu.de/de/footer/barrierefreiheit/index.html)

Vollzeit, ,

80333 München

18818-p0pvjz9qqn-S

Frau
Gitta

https://job-portal.lmu.de/jobposting/8f8ab979993b69f3d0637a5937c5b108d5af8084?ref=afa

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https://job-portal.lmu.de/jobposting/8f8ab979993b69f3d0637a5937c5b108d5af8084?ref=afa

2025-10-02