TUM Opens Tenure‑Track Assistant Professorship in Mathematics of Machine Learning

TUM Opens TenureTrack Assistant Professorship in Mathematics of Machine Learning

Munich, Germany The Technical University of Munich (TUM) has announced a tenuretrack assistant professorship in Mathematics of Machine Learning, offering an exciting opportunity for emerging researchers at the intersection of mathematics and artificial intelligence. The position reflects TUMs commitment to fostering cuttingedge research and training in areas driving digital transformation and innovation.

This tenuretrack role is aimed at candidates ready to develop an independent research program, contribute to highimpact scientific advances, and play a key role in teaching at one of Europes top technical universities. Earlycareer scholars with strong mathematical backgrounds and expertise in machine learning theory will be considered.

Focus: Mathematics of Machine Learning

The successful candidate will conduct research and teach in areas that apply advanced mathematical methods to machine learning and data science. Key research themes include:

The role emphasizes theoretical rigor and aims to build bridges between abstract mathematical frameworks and practical machine learning challenges. Applicants should demonstrate a strong record of research potential and a clear plan for building an independent program in relevant mathematical areas.

Research Leadership and Collaboration

The assistant professor will join TUMs vibrant research ecosystem, collaborating with faculty members in mathematics, computer science, data science, and engineering. The environment supports interdisciplinary work and encourages partnerships with industry and academic institutions.

TUM particularly values contributions that engage with realworld applications while advancing foundational research a combination that strengthens both scientific understanding and technological progress.

Teaching and Academic Duties

Alongside research, the tenuretrack assistant professor will have teaching responsibilities at undergraduate and graduate levels. Courses may include machine learning theory, mathematical foundations of data science, and related advanced topics. Candidates should be prepared to mentor graduate students and contribute to curriculum development in mathematics and information sciences.

Qualifications and Expectations

Applicants are expected to hold a doctoral degree in mathematics, computer science, or a related field, with strong emphasis on mathematical foundations of machine learning. A demonstrated ability to publish in reputable journals, present research internationally, and engage in collaborative projects is essential.

The tenuretrack position provides a clear path toward a permanent professorship based on performance evaluations, research achievements, and teaching excellence.

Diversity and Equal Opportunity

TUM is committed to fostering an inclusive academic community and encourages applications from underrepresented groups, women, and international scholars. The university supports equal opportunity in hiring practices and academic advancement.

Application Timeline

While specific deadlines vary by recruitment cycle, candidates are encouraged to prepare application dossiers including a curriculum vitae, research and teaching statements, and representative publications well in advance of spring review periods. Successful applicants will be evaluated competitively during expert committee review phases.

This tenuretrack assistant professorship represents a highimpact opportunity for earlycareer academics who aim to shape the future of mathematical research in machine learning within a dynamic international research environment.

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