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Master and Bachelor Thesis Supervision (public landing page)

Finding a supervisor

Interested students can contact a group member listed below with a curriculum vitae/resume and an optional cover letter. Among other relevant aspects, these documents should inform about the grades in relevant modules. Prior knowledge of machine learning is mandatory, e.g., as acquired through the courses offered by our group. Students should also describe their research interests/ideas, including suitable and proven skills, e.g., in Python programming, mathematics, or scientific writing. Many theses are connected to ongoing research in our group. However, it is also possible for students to suggest own topics/ideas.

Though our group tries to supervise as many students as possible, we typically do not have the capacity to supervise every interested student.

Our senior researchers can identify suitable internally advertised topics or suggest suitable supervisors within our group:

• ML for Quantum Chemistry: Stefan Chmiela (stefan@chmiela.com)

• Kernel Learning: Stefan Chmiela (stefan@chmiela.com)

• Explainable AI: Grégoire Montavon (gregoire.montavon@tu-berlin.de)

• Anomaly detection/Unsupervised learning: Robert Vandermeulen (vandermeulen@tu-berlin.de)

• Probabilistic modeling and inference: Shinichi Nakajima (nakajima@tu-berlin.de)

• Time series analysis and signal processing: Andreas Ziehe (andreas.ziehe@tu-berlin.de)

• Multimodal signal acquisition and analysis - neurotechnology + biomedical sensing: Alexander von Lühmann (vonluehmann@tu-berlin.de)

• ML for Security & Privacy: Daniel Arp (d.arp@tu-berlin.de)

Alternatively, it is possible to contact junior researchers directly with specific ideas or inquiries:

• Learning with multiple modalities: Jannik Wolff (wolff [dot] jannik [at] icloud.com)

• Robustness against spurious correlations in DNNs, neural cellular automata: Lorenz Linhardt (l.linhardt@campus.tu-berlin.de)

You can find further information about our group members, including their research, on our group's publication list and the BIFOLD website.

Open topics

Our internal wiki contains additional open topics. The group members listed above can match interested students with internally advertised topics.

General procedure

After having found a supervisor, students prepare a proposal that includes

• the research question and its context/motivation,
• related work,
• preliminary methodological and/or experimental results,
• and formalities such as the number of ECTS credits and the writing time as specified in the student’s examination regulations.

The supervisor can help the student with writing the proposal. Students can register the thesis with the examination office after Prof. Müller approves the proposal. We encourage students not to underestimate the time required for writing the proposal. Furthermore, consider that we may require some time to review the proposal. Therefore, it is helpful to contact our group early.