SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick and headquartered in Waldkirch im Breisgau near Freiburg, the company is a technology and market leader with 63 subsidiaries and affiliates as well as numerous agencies around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 1.8 billion in the 2025 fiscal year.
Job Description
Thesis: Towards AI-Assisted Annotation of Industrial Image Datasets

Summer Semester 2027 – limited to 3–6 months

 

YOUR TASKS:

  • Work with large-scale image datasets from real-world industrial applications to support the development of high-performance AI models.
  • Investigate existing data annotation methods and develop automated annotation pipelines to make the current semi-automated, iterative, and time-consuming process more efficient.
  • Develop solutions for novel industrial use cases where only a limited amount of labeled training data is available.
  • Investigate and evaluate one or more of the following approaches as part of your thesis:
    • Active Learning
    • Ensemble Learning
    • Model Distillation
    • Synthetic Data Generation
    • Hyperparameter Optimization

 

YOUR PROFILE:

  • Currently pursuing a degree in Artificial Intelligence, Computer Science, Mathematics, or a comparable field
  • Good command of English
  • Programming skills in Python and PyTorch, as well as experience working with REST APIs
  • Knowledge of Deep Learning, Computer Vision, and Hyperparameter Optimization
  • Independent, structured, and analytical approach to work
  • Interest in scientific research and innovative solutions in the field of Artificial Intelligence
  • Creativity and enthusiasm for exploring and implementing new methods in practice
Information at a Glance
Apply now
Posting Start Date:  10/14/26
Requisition-ID:  38304
Posting Job Location:  Waldkirch (near Freiburg)
Full-time/Part-time:  Full-time

Contact: Sarah Disch

Discover all Benefits

At SICK, we value the diverse backgrounds, experiences, and perspectives of our people. This enriches us as an organization. We are committed to fostering an inclusive workplace where everyone is treated with dignity, fairness, and respect and stand firmly against any form of discrimination.