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

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‍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.

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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
  

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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)

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