PhD Position in Human-AI Collaboration - Chair of Human-Centered Technologies for Learning

19.12.2024, Wissenschaftliches Personal

The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers an exciting Ph.D. opportunity focused on the cutting-edge field of Human-Centered AI and Human-AI Collaboration using advanced Generative AI and novel interaction technologies such as VR/AR and Eye Tracking.

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, 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. researcher in our team, you will:
• Conduct pioneering research at the intersection of AI in Education 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@tum.de) by 7 January 2025:
• 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@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.

https://portal.mytum.de/kompass/datenschutz/Bewerbung/

Kontakt: enkelejda.kasneci@tum.de

Mehr Information

https://www.edu.sot.tum.de/hctl/startseite/