The University of Bonn, a recognized University of Excellence, is seeking up to two tenured Full Professors (W3) in Artificial Intelligence and Machine Learning. These strategic flagship positions are within the Department of Computer Science and the Lamarr Institute for Machine Learning and Artificial Intelligence. Applicants should have internationally outstanding research in AI and Machine Learning, with a focus on areas such as foundational AI, world models, edge AI, and embodied AI. Responsibilities include leading a research program, teaching in German and English, acquiring third-party funds, and contributing to the institute's strategic responsibilities. The positions offer excellent equipment and benefit from permanent institutional funding as part of Germany's national AI excellence initiative. Applications, including a cover letter, CV, publications, research plan, teaching concept, and degree certificates, must be submitted by October 4, 2026.
| Department | Department of Computer Science |
| Position Type | Full Professor W3 |
| Discipline | Computer Science |
| Research Area | Artificial Intelligence and Machine Learning, foundational AI, world models, edge AI, efficient models, agentic and reflective intelligence, embodied AI, hybrid ML |
| Experience | Internationally outstanding research, outstanding publications, third-party funding track record |
| Salary | W3 Full Professorship |
| Funding | permanent institutional funding, national AI excellence initiative, third-party research funds |
| Contract Duration | Tenured |
| Language | German or English |
| Deadline | 2026-10-04 |
| Required Documents | cover letter, CV, list of publications, selected publications, research plan, teaching concept, copies of degree certificates |
| Employer Address | Germany – Bonn |
| Employer Contact | Prof Dr Stefan Wrobel, [email protected] |
The successful applicant will establish and lead an internationally visible research program in Artificial Intelligence and Machine Learning, contributing to one or more of the Lamarr Institute's research areas. Specific profiles are welcomed in emerging strategic topics such as foundational AI and world models, edge AI and efficient models, agentic and reflective intelligence, embodied AI, and hybrid ML. The professorship will benefit from Bonn's broader excellence environment, including potential scientific links to various Transdisciplinary Research Areas (TRAs) and Clusters of Excellence like PhenoRob, ML4Q, HCM, DYNAVERSE, Color meets Flavor, ImmunoSensation, and the ELLIS Unit NRW.
Applicants with internationally outstanding research in Artificial Intelligence and Machine Learning, particularly in foundational AI, world models, edge AI, efficient models, agentic and reflective intelligence, embodied AI, and hybrid ML, are encouraged to apply. Candidates should have a strong publication record and experience in acquiring third-party funding. The university is committed to equal opportunity and diversity, welcoming applications regardless of background, gender, sexual orientation, religion, belief, disability, or age. Women and individuals with severe disabilities will receive preferential consideration.
The University of Bonn is an international research university with a broad education and research profile, a 200-year history, 31,500 students, and 6,000 staff. It holds an excellent reputation both nationally and internationally and is recognized as a University of Excellence. The Lamarr Institute for Machine Learning and Artificial Intelligence brings together all AI activities at the University of Bonn, with significant growth based on permanent institutional funding from Germany's national AI excellence initiative.
The deadline for applications is October 4, 2026.
The position is for up to two tenured Full Professorships W3 in Artificial Intelligence and Machine Learning.
The main research areas include Artificial Intelligence and Machine Learning, with a focus on foundational AI, world models, edge AI, efficient models, agentic and reflective intelligence, embodied AI, and hybrid ML.
Applicants must submit a cover letter, CV, list of publications, selected publications, a research plan, a teaching concept, and copies of degree certificates.
Teaching covers all levels of degree programs in German and English, and non-native speakers are expected to teach in German within a reasonable timeframe.
Questions can be directed to Prof Dr Stefan Wrobel at [email protected].
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
UpperCareers
Search 420+ open postdoc, PhD, assistant professor positions
Filter by field, country and institution — every vacancy links straight to the employer.
Browse all positions →