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Computer Science Engineer, Scientific Computing (w/m/d) - CFD-methods for maritime applications
Job Description
Req ID:  6167
Place of work:  Kiel
Starting date:  01.12.2026
Career level:  Experienced professionals
Type of employment:  Part time, Full-time
Duration of contract:  3 years

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

At the Institute of Maritime Technologies and Propulsion Systems, we provide technological developments that give the maritime industry the confidence to invest in new technologies, thereby accelerating the transformation of transport on water. Transforming maritime applications requires technology development to take the entire energy conversion chain into account. This is translated into practice in cooperation with industry.

What to expect
The Ship Performance department develops methods and models to ensure safe and energy-efficient ship operation in arbitrary environmental conditions. Your task is to further develop and validate a CFD method for complex maritime challenges.
Our institute offers flexible working hours and the option of mobile working, along with a good work-life balance for combining career and family.


Your tasks

  • You research highly efficient numerical methods for simulating complex flow phenomena in maritime applications.
  • You are responsible for the development, evaluation, and validation of numerical methods of varying complexity for use in maritime flow simulations:
    • First, you familiarize yourself with the existing simulation environment.
    • You then analyze and evaluate the existing numerical methods and plan the optimization of the software system.
    • You develop and implement new numerical methods and carry out the optimization of the simulation environment.
    • You then verify and validate the further-developed simulation environment and apply it in practice.
  • You evaluate the test results, place them in a scientific context, and present them nationally and internationally.


Compensation is based on qualifications and assigned responsibilities, up to pay grade 14 TVöD.


What you bring

  • A completed academic degree (Master's from a university or university of applied sciences, or a Diplom from a university) in engineering, computer science, computational science, scientific computing, or a comparable field relevant to the position
  • Practical research experience (at least 2–3 years) in the numerical solution of nonlinear physical field problems, efficient computational methods for engineering applications, fluid mechanics, and computational fluid dynamics — e.g., gained through a doctorate or other demonstrated research activity
  • Solid knowledge of programming and software development, particularly in scientific computing
  • Solid knowledge of the programming languages C++ and Python
  • Ideally, knowledge of ship theory, hydrodynamics, and maritime CFD applications
  • Excellent command of both English and German

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 6167) please contact:

 

Dr. Marco Klein
Tel.: +49 431 122755 9148  
Apply now