Professorship (tenured; salary level W2) in Computer Science with a focus on “Algorithms and Complexity“ (m/f/d) Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)

Professorship (tenured; salary level W2) in Computer Science with a focus on “Algorithms and Complexity” (m/f/d)

The Department of Computer Science at RPTU at campus Kaiserslautern (until 2022 TU Kaiserslautern) combines fundamental research and education with excellence in application and regularly achieves top positions in relevant rankings. There are many opportunities for cooperation with affiliated research institutes such as the Max Planck Institute for Software Systems (MPI-SWS), German Research Center for Artificial Intelligence (DFKI), the Fraunhofer Institute for Experimental Software Engineering (IESE), and the Fraunhofer Institute for Industrial Mathematics (ITWM).

The successful candidate will represent the field of algorithms and complexity in research and teaching and will develop and pursue independent, creative, and highly visible research programs, both independently and in collaboration with other research groups in Kaiserslautern. Applicants should be able to demonstrate excellent and international research achievements.

Research areas of specific interest include, among others:

• Quantum Algorithms and Complexity
• Randomized Algorithms
• Approximate Algorithms
• Computational Learning Theory
• Complexity Theory
• Algorithmic Algebra
• Fine-Grained Complexity
• Algorithms in connection to formal verification
• Algorithms in connection to software engineering 

We expect excellent and internationally visible research performance, expressed through publications of high-rated conferences and journals (e.g., FOCS, STOC, SODA, ICALP, LICS, POPL, PODS, PODC, COLT).

Candidates are also expected to actively contribute to departmental teaching. For this, they should have excellent didactic skills and experience with teaching. Experience in obtaining research grants is desirable.
The teaching language is English and German (for basic courses).
Successful candidates are expected to acquire sufficient proficiency in German within an appropriate period after their appointment.

The complete announcement can be found on the RPTU homepage:

https://rptu.de/s/csw2ak

Deadline: 17.08.2026

jobs.rptu.de