Our group supervises as many students as possible, but we often do not have the capacity to supervise all interested students.
Applicants must have significant experience in machine learning, e.g., as acquired through courses offered by our group (passed with a grade of “good” or better) or an equivalent qualification. This often includes a deep conceptual understanding of machine learning and significant programming experience. The necessary skills vary depending on the thesis topic, e.g., purely theoretical theses require more mathematical than programming skills. Candidates must possess the necessary abilities before applying. Cooperation with an external party (like a company or research institute) is usually only possible when the collaborating party does not significantly reduce scientific autonomy (e.g., regarding data access, topic selection, and thesis trajectory).
Interested students can contact us with the thesis application form as a PDF, a curriculum vitae or resume, and a cover letter. Please provide evidence of relevant skills. Degree theses are often connected to ongoing research in our group. However, it is also possible for students to suggest their own topics/ideas.
Candidates can apply to potential supervisors directly using the standardized form above. In your email, please detail your reasons for reaching out to the particular individual.
How to find suitable researchers:
Students may send a follow-up email if a researcher does not respond, as messages can sometimes be overlooked amidst numerous emails. Please wait at least two weeks before writing such a follow-up mail.
In addition to targeted applications via channel (1), candidates can send their application to thesis(∂)ml.tu-berlin.de using the standardized form above. This distribution list reaches most researchers in our group. Responses will be provided only if your application aligns well with the needs of at least one researcher in our group.
If previous application attempts via the outlined channels are unsuccessful, and you meet the necessary thesis candidate prerequisites, you are encouraged to contact the Thesis Domain Coordinators. Please include a brief summary of your prior application attempts in your communication.
Thesis Domain Coordinators:
For topics not covered by the above domains, or for general inquiries and feedback regarding the application process, please direct your correspondence to thesis.coordination(∂)ml.tu-berlin.de. If students do not receive a reply from the Thesis Domain Coordinators or the mailing list, they may send a follow-up email after a waiting period of at least two weeks.
Please be aware that we often keep the titles of available theses confidential, as they frequently pertain to our current, yet-to-be-published research. Group members can access our internal database.
|Supervisor and email address
|Bachelor / Master
|Alexander von Lühmann (vonluehmann(∂)tu-berlin.de)
|Shinichi Nakajima (nakajima(∂)tu-berlin.de)
|Sidney Bender (s.bender(∂)tu-berlin.de)
|Generative Modelling for XAI
|Thomas Schnake (t.schnake(∂)tu-berlin.de)
|Mihail Bogojeski (m.bogojeski(∂)tu-berlin.de)
|Stefan Gugler (stefan.gugler(∂)tu-berlin.de)
|Pengzhou (Abel) Wu (pengzhou.wu(∂)tu-berlin.de
|Supervisor + email address
|Date of entry
After having found a supervisor, students prepare a thesis proposal that includes
The supervisor can help the student with writing the proposal. Students may register their thesis with the examination office once Prof. Müller or an authorized senior researcher 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 apply to our group early.