
Thesis: Towards AI-Assisted Annotation of Industrial Image Datasets (Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch )
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
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Of these: 35% with no German needed, 43% hybrid or remote, 28% with pay stated.
Skills in the ad
PyTorchHyperparameter OptimizationActive LearningSynthetic Data GenerationComputer VisionEnsemble LearningModel DistillationDeep LearningPythonREST APIs
Job description
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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
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