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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/

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

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: enkelejda.kasneci@tum.de

More Information

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