PhD Position in Human-AI Collaboration - Chair of Human-Centered Technologies for Learning
MyTUM-Portal
Technische Universität München
PhD Position in Human-AI Collaboration - Chair of Human-Centered Technologies for Learning- 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:
o An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields.
o Strong programming skills in Python, Java, C++, etc.
o A solid foundation in generative AI, machine learning, and related areas.
o An Interest in eye-tracking technology, VR and AR.
o Know-how/Interest in designing user studies.
o Excellent communication skills and a collaborative spirit to work with multidisciplinary professionals.
o Proficiency in German and English, both written and spoken.
Why Join Usl
As a Ph.D. researcher in our team, you will:
o Conduct pioneering research at the intersection of AI in Education and Computational Interaction.
o Work in a dynamic, collaborative environment with leading experts.
o Have access to state-of-the-art facilities and a stimulating research setting.
o 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) by 7 January 2025:
o Curriculum Vitae.
o Motivation letter (max. 1 page).
o Transcript of records.
o English proficiency test results (if applicable).
o 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.
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Kontakt: enkelejda.kasneci [at] tum.de
Mehr Information
https://www.edu.sot.tum.de/hctl/startseite/- Pedagogy - Pédagogie - Pädagogik
- Computer Science - Informatique - Informatik
- Reference: jobs.myscience.de/id202703