In your new role you will:
- Get familiar with the use case, the available software tools, and the existing computer vision methods
- Perform requirement analysis in close collaboration with the data science team and domain experts on the implementation and results of the image analysis to ensure compatibility with downstream activities
- Develop and implement a Deep Learning model to detect anomalies in wafer test data and identify dies affected by specific patterns
- Take care of documentation and communicate of results
Further Information
Type of employment: Temporary / Fulltime or Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: 11 monthsYou successfully meet the requirements, if you are a motivated and committed student (f/m/div)* from the fields of Data Science, Computer Science, Statistics, Physics or similar.
You are best equipped for this task if you additionally offer:
- Know-How about training Deep Learning models (preferably for Computer Vision tasks) using PyTorch
- Practical experience with Python programming and relevant AI libraries (PyTorch, Pandas/Polars, Numpy, ...)
- Experience with version control using Git
- Familiarity CI/CD tools e.g. Poetry, Jenkins (nice to have)
- Communicative character with joy in teamwork
- Fluent in English, German is a plus
Please attach the following documents (German or English) to your application:
- Motivation letter
- CV
- Certificate of matriculation at a university
- Latest Transcript of records (not older than 6 months)
- Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
- Reference letter (optional)
