Job offer
Role details
Job location
Tech stack
Requirements
at the department of Computer Science to be filled as soon as possible.
We are seeking an individual with outstanding expertise in the field of Machine Learning, particularly in modern machine learning techniques (e.g. Large Language Models and Deep Learning architectures for Explainable AI, Agentic AI, Neuro-symbolic AI and Reinforcement Learning) with connections to Natural Language Processing, who will represent this expertise in both research and teaching.
The candidate should have proven expertise in the development of machine learning methods, and it is expected that he/she will contribute to collaborative projects. Active participation in the Heine Center for Artificial Intelligence and Data Science (HeiCAD) is desirable.
Experience or --- for an initial appointment on W1 level --- a well-founded potential in acquiring competitive third-party funding and publications at leading conferences such as NeurIPS, ICML, ICLR, AAAI, EMNLP, ACL, and/or leading scientific journals is expected.
Furthermore, excellent didactic skills are required. Teaching responsibilities include courses in computer science (Bachelor and Master in Computer Science, Master in Artificial Intelligence and Data Science), including regular participation in basic courses. In addition, active involvement in teaching offerings for other disciplines (e.g., within the framework of "KI für alle") and participation in university self-administration are expected.
For a direct appointment on W2 level a scientific performance equivalent to Habilitation, in particular high-level publications, success in acquiring third-party funding, and suitable experience in teaching in Computer Science or related programs is required.
Conditions for employment are, in addition to general administrative conditions in accordance with § 36 of the North Rhine-Westphalia University Act (Gesetz über die Hochschulen des Landes Nordrhein-Westfalen), an aptitude for teaching, exceptional competence in research, and additional scientific achievements.
Female candidates are encouraged to apply; they will be given preference in cases of equal aptitude, ability, and professional achievements unless there are exceptional reasons for choosing another applicant.