PhD position in Scientific Machine Learning: Data science at scale and mixed precision solvers

• Master in Informatics, Mathematics, or a related field (e.g. Computational Science/Engineering)
• Strong knowledge of machine learning, Scientific Computing (particularly linear algebra and numerics), and High Performance Computing (HPC).
• Proficiency in programming; experience with GPU architectures, C++, and Python is highly valued.
• Excellent communication and collaboration skills in English.
• Soft skills: analytical thinking, structured and organized work, and high intrinsic motivation.
• Preferred: Experience with linear operators, eigenproblems, or the development of numerical solvers.

Note that TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. International candidates are highly encouraged to apply. The position is suitable for disabled candidates, and preference will be given to disabled candidates with equal qualifications. Contact If you have any questions about the application or the project, write an email (see website): Prof. Dr. Felix Dietrich Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

About us Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world's top universities. It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world. We are looking for motivated researchers to join the HDSC/MDSI Tandem Project "Data science at scale: Training neural models with mixed precision solvers." This is a joint project involving , , and . Remuneration is 100% TVL E13 according to the German public sector rates. You have the opportunity to pursue a doctoral degree (Dr. rer. nat., i.e. the "German PhD"). The primary place of work will be at the TUM Campus Garching.