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Master Thesis in Discrete Design Variables for Multidisciplinary Optimization

vor 2 Monaten


Munich, Bayern, Deutschland BMW Group Vollzeit

Unlock Your Potential in Multidisciplinary Optimization

We are seeking a highly skilled and motivated individual to join our team as a Master Thesis researcher in Discrete Design Variables for Multidisciplinary Optimization. As a key member of our team, you will contribute to the development of innovative software tools and gain insights into the latest advancements in vehicle development.

About the Project

  • Conduct research on existing methods for solving mixed-integer optimization problems
  • Derive and implement methods for handling integer-valued variables within multidisciplinary design optimization
  • Evaluate numerical performance across several benchmark problems
  • Collaborate with our team of experts to develop and implement new optimization techniques

Requirements

  • Ongoing master's degree in mathematics, engineering, computer science, or a related field
  • Strong theoretical knowledge in mathematical optimization and design synthesis
  • Practical experience in software development with Python
  • Knowledge in automotive development is a plus
  • Excellent communication and teamwork skills

What We Offer

  • A dynamic and innovative work environment
  • Opportunities for professional growth and development
  • Collaborative team environment
  • Flexible working hours and mobile work options
  • Attractive compensation package

About Us

The BMW Group is a leading manufacturer of premium automobiles and motorcycles. We are committed to innovation, sustainability, and excellence in all aspects of our business. Our team is passionate about creating cutting-edge technology and products that exceed customer expectations.