Scientific Machine Learning for Simulations

Christian Lessig and Thomas Richter

The Seminar Deep Neural Networks for Physical Simulations is offered for Bachelor- and Master students from Computer Science and Mathematics. The seminar takes place each winter term

• Date in Winter 2026/2027: to be announced in September 26.

Format

This seminar is aimed at advanced students (master's or advanced bachelor's level). We welcome computer science students with a strong interest in mathematical foundations, as well as mathematics students keen on applied and computational perspectives. The seminar sits at the intersection of both disciplines — it is neither a classical data science course nor a purely theoretical mathematics one.

At the start of the term, projects will be assigned to groups of typically 3–4 students. Each group should include at least one mathematics and one computer science student. Projects combine both a theoretical and a programming component, and groups will receive guidance from us and members of our research teams throughout the term. At the end of the term, all projects will be presented in a workshop-style session.

Enrollment

We can only provide a limited number of spots for students from computer science and mathematics. Please register in LSF. If we quickly receive too many applications we will get back to you and ask everyone for a short motivation statement to allow us a fair selection. Please also send a mail to and to express your interest.

Participants and talks

Literature and possible topics

The link to a list including abstracts follows shortly

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Questions?

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