University Professorship at KIT (W3) „Robust and Efficient AI“ (f/m/d)

Artificial intelligence offers tremendous opportunities, but at the same time it also creates significant challenges — particularly due to the rapidly rising computing demands.

Robustness, scalability, and efficiency of AI methods are therefore essential goals of AI research.

At KIT, the Scientific Computing Center (SCC) and the Division II with the KIT Department of Informatics and the Institute for Anthropomatics and Robotics (IAR) address these strategically important issues while in particular focusing on interdisciplinary application scenarios in mind, and on this basis are establishing a

• Your Tasks
• Research: Your work focuses primarily on developing state-of-the-art AI models for scientific applications, optimizing AI training algorithms for efficient deployment on high-performance computing (HPC) systems, creating large-scale probabilistic models and scalable methods for uncertainty quantification to achieve robust AI.

Your research methodology is both generic and application-oriented.

• Teaching: You will teach two semester hours per week in the bachelor's and master's computerscience programmes.

Your teaching offerings are generally also of interest to students from other engineering, natural-science, and interdisciplinary degree programs.

• Governance: You will take on the position of a head of department within the central scientific unit SCC as part of the Helmholtz Program Engineering Digital Futures (EDF).

Your Profile

• Your research profile aligns with the topic “Robust and Efficient Scalable AI for Science,” and you intend to strongly advance this field at KIT with great commitment.
• You have both generic and application-oriented research experience, which you can demonstrate, for instance, through competitively funded projects at the interdisciplinary interface between computer science and applied sciences.

Employment is subject to Art. 14, par. (2) of the KIT Act in conjunction with Art. 47 LHG Baden-Württemberg (Act of Baden-Württemberg on Universities and Colleges).

• We Offer
• Excellent Research Conditions & State-of-the-art

Infrastructure: Benefit from a unique environment that combines university and large-scale research, and gain access to state-of-the-art equipment and interdisciplinary projects.

This environment enables you to conduct both basic and applied research at the highest level.

• International

Networking: You will work in a global network that encompasses international collaborations and English-language scientific communication.

KIT promotes exchange with leading research institutions and industry partners worldwide.

• Transparent Career Paths & Personal

Development: Clear development prospects, individual coaching, and a well-developed leadership development program support you in steering your academic career in a targeted manner.

• Family-friendly

Offers: The KIT Dual Career Service supports you and your partner in integrating into the workforce, while flexible working time models and company childcare facilities make it easier to balance work and family life.

• Onboarding & Integration: A customized onboarding program will accompany you from your first day at work, enabling you to quickly get started in research, teaching, and the KIT networks and get off to the best possible start.
• Salary

Salary is governed by the statutory provisions of the State of Baden-Württemberg and comprises the basic salary of salary grade W3.

In addition, the granting of performance-related pay components is possible. The family allowance is paid, where applicable, in accordance with civil service law.

Contact person in line-management

For subject-matter inquiries, please contact Prof. Dr. Bernhard Beckert, email: beckert@kit. edu.

At KIT we value the diversity of our employees; different perspectives and backgrounds enrich our work.

We therefore welcome applications from all candidates.

Women are especially encouraged to apply.

Applications from recognized severely disabled individuals are given preferential consideration when qualifications are equal.

Application up to:2026-08-31 Job posting number:1186/2026

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