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Postdoctoral-Position in DFG Research Training Group 2982
 “Mathematics of Interdisciplinary Multiobjective Optimization”

As part of Research Training Group 2982, “Mathematics of Interdisciplinary Multiobjective Optimization,” funded by the German Research Foundation (DFG) and based at the RPTU in Kaiserslautern, a postdoctoral position is available immediately.

About us
We are an interdisciplinary group of mathematicians, computer scientists, and engineers working together on challenging projects, all dealing with optimization problems that have multiple objectives. Our collective expertise spans linear, discrete, and combinatorial optimization, nonlinear optimization, robust optimization, operations research, scheduling, game theory, scientific computing, engineering thermodynamics, and microelectronic systems design. Read more about the project at https://math.rptu.de/mimo

We offer 
We offer an excellent research environment at the RPTU in Kaiserslautern with close links to the Fraunhofer Institute for Industrial Mathematics (ITWM). Within the Research Training Group, we provide a comprehensive qualification and research program for doctoral students, including seminars, courses and workshops, and a visitor’s program. Experience with innovative methods, networking, and publishing will be gained. Although working in an interdisciplinary environment, doctoral students still pursue the doctoral degree in their respective departments (i.e., mathematics, computer science, mechanical and process engineering, or electrical and computer engineering). Further information is available at https://math.rptu.de/mimo
The postdoc position is paid according to TV-L E13 (100%) and is initially limited to three years. The RPTU in Kaiserslautern strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

Your qualifications
Applicants should have a strong background in mathematical programming, optimization, and mathematical modeling as well as an extensive knowledge in the design and analysis of algorithms which is reflected in an excellent Master's degree (or equivalent) in mathematics, computer science, engineering, or related subjects. A requirement for employment is a successfully completed doctoral degree in one of these fields. Since this Research Training Group is interdisciplinary, applicants with different profiles can apply. Very good written and verbal communication skills in English or in German are required. We also expect successful candidates to be active team players in the Research Training Group.

Application process
Applications should include:

• Letter of motivation that demonstrates an interest in multiobjective optimization, 
• CV,
• Copies of degree certificates with full academic transcripts

and be submitted in digital form (one PDF document) to Prof. Dr. Stefan Ruzika stefan.ruzika(at)math.rptu.de  by November 11, 2026. Alternatively, applications can be sent by mail to 

Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau 
Prof. Dr. Stefan Ruzika
Paul-Ehrlich-Straße 14
67663 Kaiserslautern

In this case, we request to submit only copies of official documents, as we cannot return materials after completion of the application process.

The RPTU Kaiserslautern-Landau (RPTU) is the technical university of the federal state of Rhineland-Palatinate with over 20,000 students, more than 300 professors and around 160 degree programmes. As a place of top-level international research, it offers excellent working conditions and career opportunities. Those who study, research or work at RPTU experience a welcoming and globally-oriented environment and shape the future.

RPTU stands for the diversity of all employees. We welcome applications from all interested parties, regardless of their ethnic and social background, age, religion, gender, disability, sexual orientation or identity. Severely disabled persons and persons with equivalent status are given preference if they are suitably qualified and suitable. RPTU strives to increase the proportion of women in areas in which women are underrepresented.