Research Scientist in Multi-Modal Environment Perception

vor 1 Woche


Munich, Bayern, Deutschland Technical University of Munich Vollzeit
Research Assistant and PhD Candidate in Traffic Environment Perception using Multi-Modal Sensors

We are seeking a highly motivated and skilled research assistant and PhD candidate to join our team at the Technical University of Munich. As a research assistant and PhD candidate in traffic environment perception, you will be responsible for developing and implementing machine-learning based systems for traffic environment perception.

Key Responsibilities:

  • Design and implement multi-modal environment perception systems using machine learning algorithms
  • Collaborate with our team to develop and test AI-based solutions for traffic environment perception
  • Contribute to the development of precision, time-criticality, resource, and energy demand of AI-based solutions
  • Participate in the development of creative ideas and solutions for future mobility systems

Requirements:

  • Master's or PhD degree in a relevant field (e.g. computer science, electrical engineering, mathematics)
  • Strong background in machine learning and computer vision
  • Experience with programming languages such as Python, C++, or MATLAB
  • Excellent communication and teamwork skills

What We Offer:

  • A dynamic and collaborative research environment
  • The opportunity to work on cutting-edge projects in traffic environment perception
  • A competitive salary and benefits package
  • The chance to contribute to the development of innovative solutions for future mobility systems

How to Apply:

Please submit your application, including your CV, cover letter, and contact information for at least two professional references, to the contact person listed below. We look forward to hearing from you



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