PostDoc and PhD Positions in Human-Centered AI Technologies
The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and PostDoc opportunities focused on the cutting-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies such as VR/AR and Eye Tracking.
Potential Project Ideas are:
- Multimodal Machine Learning (Eye Tracking, Speech, and Vision)
- Research in Eye-Tracking Technology and Smart Glasses
- Human-Centered Generative AI
- Human-AI Interaction
Who We Are Looking For:
We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have:
- An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields.
- Strong programming skills in Python, Java, C++, etc.
- A solid foundation in generative AI, machine learning, and related areas.
- An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR.
- Know-how/Interest in designing user studies.
- Excellent communication skills and a collaborative spirit to work with multidisciplinary professionals.
- Proficiency in German and English, both written and spoken.
Why Join Us?
As a Ph.D. or PostDoc researcher in our team, you will:
- Conduct pioneering research in Human-AI Interaction and Computational Interaction.
- Work in a dynamic, collaborative environment with leading experts.
- Have access to state-of-the-art facilities and a stimulating research setting.
- Participate in teaching and supervising activities, enriching your academic and professional skills.
Application Process:
Interested candidates should submit the following documents (preferably in a single PDF) to Prof. Dr. Enkelejda Kasneci (enkelejda.kasneci(at)tum.de) and Dr. Babette Bühler (babette.buehler(at)tum.de) by 31 May:
- Curriculum Vitae.
- Motivation letter (max. 1 page).
- Transcript of records.
- English proficiency test results (if applicable).
- Contact information for 2-3 references.
Shortlisted candidates will be invited for an interview. We value diversity, equity, and inclusion and encourage candidates from underrepresented groups to apply.
Contact: For more information, please contact Prof. Dr. Enkelejda Kasneci (enkelejda.kasneci(at)tum.de).
We are dedicated to offering an inclusive research environment and encourage applicants of all backgrounds to apply, including individuals with disabilities. TUM is committed to privacy and data protection; applicants are advised to review our data privacy policy under GDPR.