项目介绍

2026年2月5日

The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and Postdoc opportunities in the cutting-edge field of Human-Centered AI Technologies, leveraging advanced Generative AI and novel interaction technologies.

POTENTIAL PROJECT IDEAS ARE:

1. AI in Education
2. AI Safety (especially LLMs / VLMs)
3. Human-AI Interaction
4. Or Bring-your-Own research topic

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-Centered AI
• 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@tum.de) by 28 February:

• Curriculum Vitae.
• Motivation letter and a short expose of their proposed research topics (max. 1 page).
• Transcript of records.
• English and German 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@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.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.