Research Scientist

vor 4 Wochen


Siegen, Nordrhein-Westfalen, Deutschland Universität Siegen Vollzeit
Job Opportunity

We are seeking a highly skilled researcher to join our team at the University of Siegen. As a researcher in the Faculty IV: School of Science and Technology, you will be part of the ETI/HQE research group and contribute to the development of machine learning algorithms for terahertz imaging.

Key Responsibilities
  • Develop machine learning algorithms for THz imaging as part of the DFG-funded research unit "Learning to Sense (L2S)"
  • Collaborate closely with research groups involved in machine learning and computer graphics
  • Develop adaptive methods for coherent 3D image generation to improve image quality and correct scene-dependent interference artifacts in the THz frequency range
  • Create simulations to understand, model, classify, and segment interference artifacts from real scene information in synthetic 3D THz image data
  • Prepare scientific publications and reports on results, as well as presentations at scientific conferences
  • Support research and teaching, supervise and examine students, and assist with administrative tasks
Requirements
  • Master's or equivalent degree in Electrical Engineering or Computer Science
  • Knowledge in one of the following fields is expected: machine learning, advanced programming skills, ultra-high frequency technology, or terahertz technology
  • Experience in constructing experimental setups is an advantage
  • Willingness to engage in interdisciplinary cooperation
  • Ability to work independently as well as part of a team, with very good communication skills
  • Excellent command of written and spoken English
  • Knowledge of German is desirable but not mandatory
What We Offer
  • Promotion of own scientific qualification according to the Wissenschaftszeitvertragsgesetz (e.g. doctorate)
  • Diverse opportunities to take on responsibility and make a visible contribution in the research and teaching environment
  • A modern understanding of leadership and collaboration
  • Good work-life balance, for example, through flexible working hours and work location, as well as support with child care
  • Extensive personnel development program
  • Health management with a wide range of prevention and counseling services

Please apply exclusively via our job portal.


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