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Thesis: Towards AI-Assisted Annotation of Industrial Image Datasets (Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch )

SICK Sensor Intelligence2 days agoWorking Student
On-siteEnglish requiredTechAI, ML & Data Science

At a glance

  • Pay

    Not stated

    Median for Freiburg (all fields): €17.00/hr, from 17 working-student postings with stated pay in the last 12 months. Salary guide

  • Requirements

    Studies: Computer science, data science, mathematics and statistics or related · must be enrolled

    Languages: English (good)

  • Hours & duration

    3–6 months

  • Good to know

    Thesis possible

  • Employer

    SICK Sensor Intelligence · HQ in Waldkirch

    We list 51 open student roles at SICK Sensor Intelligence, 29 in Freiburg. 5 more have closed since June 2026. See all SICK Sensor Intelligence roles

  • Similar roles

  • Skills in the ad

    PyTorchHyperparameter OptimizationActive LearningSynthetic Data GenerationComputer VisionEnsemble LearningModel DistillationDeep LearningPythonREST APIs

Job description

Description provided by SICK Sensor Intelligence

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

Contact: Sarah Disch

Rules that apply:20-hour rule140/280-day ruleWerkstudentenprivilegNet pay calculator

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