Mathematical Optimization Specialist

vor 4 Wochen


Kaiserslautern, Rheinland-Pfalz, Deutschland Fraunhofer-Gesellschaft Vollzeit
Join Our Team as a PhD Researcher in Industrial Mathematics

We are seeking a highly motivated and skilled PhD researcher to join our team at the Fraunhofer Institute for Industrial Mathematics ITWM. As a PhD researcher, you will have the opportunity to work on innovative mathematical questions and develop practical solutions for real-world problems.

About the Project

Our research focuses on developing and investigating methods for taking into account non-linear relationships in the design of experiments. This involves developing prediction models, calibrating model parameters, and optimizing experimental designs. You will have the opportunity to work on a wide range of topics, from process optimization to experimental design, and contribute to the development of new mathematical methods and tools.

Responsibilities
  • Develop and investigate methods for non-linear relationships in experimental design
  • Develop prediction models and calibrate model parameters
  • Optimize experimental designs and develop practical solutions for real-world problems
  • Collaborate with our team of researchers and engineers to develop new mathematical methods and tools
Requirements
  • Scientific university degree in mathematics, computer science, or physics
  • High level of abstraction and mathematical problem-solving skills
  • Experience with mathematical modeling and numerical methods
  • Good German and English language skills
What We Offer
  • Opportunity to work on innovative mathematical questions and develop practical solutions for real-world problems
  • Collaborative and dynamic work environment
  • Comprehensive training program on various mathematical methods and IT topics
  • Opportunities to publish scientific papers and present at conferences

We value diversity and promote equal opportunities for all applicants. We welcome applications from candidates with diverse backgrounds and experiences.



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