Our Multimodal AI lab is always looking for excellent PhD students as well as for students at TU Darmstadt that want to write their Bachelor or Masters Thesis with us.
If you are a TU Darmstadt student seeking for a Bachelor's or Master's Thesis project, please continue reading on our Theses page.
We cannot respond to applications via e-mails; please use the forms below. Expect up to two weeks for an initial response. Please also note that we currently only have limited positions available.
In general, we are not offering internships or remote internships!
Specific Job Openings
HiWi for Multimodal Fact-Checking
Join the fight against disinformation: In this application-oriented research HiWi position, you will become part of one of the world-leading research groups – high societal relevance guaranteed.
If you do not see any fitting specific job openings, we also welcome unsolicited applications (“Initiativbewerbungen”) from motivated candidates who are interested in joining our team. See the general application guidelines for that below.
PhD Positions (full time, fully funded)
We have different funding sources, so consider all of the following options
- Apply via Ellis by October 31, 2025
- Become part of our cluster of excellence Reasonable AI, apply in *one* of our four labs, most PhD students will be co-supervised across labs, apply by November 16, 2025
- Observational AI (Anna and Marcus are leading this one)
- Challenging AI
- Systemic AI
- Active AI
- Apply via the form below
Application Guidelines
We offer full-time, fully funded research assistant positions (E13 salary, in the German public sector)
We are looking for PhD students with excellent analytical skills who are highly motivated, curious, and creative and who have:
- a Master’s degree (or equivalent) in computer science or a closely related field,
- an outstanding academic record
- solid programming skills
- experience with learning frameworks, e.g. PyTorch or Tensorflow,
- prior research experience and/or publications
The following points are a plus
- background in AI, machine learning, Computer Vision, NLP, etc.
- good knowledge of probability theory and statistics
We expect strong communication/writing English skills, no German required.
We invite recent or soon-to-be PhD graduates with similar research interests to apply.
- A strong publication record with multiple first or co-first author publications in the top AI/ML/Computer Vision/NLP conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, ACL, EMNLP) is a prerequisite.
- Strong communication/writing English skills, no German required.
