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Algorithm Developer for In-Field Sharpness Measurement

vor 1 Monat


Ingolstadt, Bayern, Deutschland Fraunhofer-Gesellschaft Vollzeit
Job Description

At Fraunhofer-Gesellschaft, we are seeking a highly motivated and skilled researcher to work on a master thesis project focused on developing an algorithm for in-field sharpness measurement using traffic signs. The project aims to improve the accuracy and efficiency of image evaluation for automotive cameras, with a focus on traffic signs.

Responsibilities
  • Develop a machine learning-based algorithm for sharpness evaluation of images captured by automotive cameras
  • Implement and test the algorithm using a dataset of traffic signs
  • Collaborate with the research team to integrate the algorithm into a larger system for image processing and analysis
  • Conduct experiments and analyze results to optimize the algorithm's performance
Requirements
  • Master's degree in Computer Science, Electrical Engineering, or a related field
  • Strong background in machine learning, deep learning, and computer vision
  • Proficiency in programming languages such as Python and C++
  • Basic knowledge of optics and image processing concepts
  • Excellent communication and teamwork skills
What We Offer
  • A dynamic and collaborative research environment
  • Opportunities for professional growth and development
  • Flexible working hours and a modern research infrastructure
  • A competitive salary and benefits package

We value diversity and inclusion and welcome applications from candidates with diverse backgrounds and experiences. If you are a motivated and talented researcher looking for a challenging project, please apply now.