Master Thesis - Machine Learning for plasma Etch development (f/m/div)

Job Description:

#WeAreIn to create tiny chips and big careers.

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Your Role

Key responsibilities in your new role

* Shape the future: Knowledge expansion - Acquire knowledge on plasma etching processing
* Data is everything: Data Preparation and discovery - Collect, clean, and normalize existing process recipes and etch profile pictures
* Focus on the future: Model Development - Choose and train human-in-the-loop machine learning models to support the development of etch processes
* Take responsibility: Validation and Refining - Pilot test the system, collect user feedback, and refine the model to ensure ongoing improvement
* Reliable work: Scientific writing - Document your results in writing and submitting your Master thesis

Your Profile

Qualifications and skills to help you succeed

* Study field: You are a top-performing student currently studying Master's in Computer Science, Data Science, or Artificial Intelligence Master programs and have completed all of your exams
* Skills: You have proven (3+ years) experience on programming in Python, with practical knowledge on machine learning frameworks and data analysis tools
* Interests: You have a strong ambition for computer systems, programming and machine learning
* Experience: You are experienced in data analysis, programming, and machine learning, with a strong foundation in statistics and mathematics. You are capable to critically assess your own results.
* Personality: Proactive, self-driven and science-interested. You have very good communication skills, capable of explaining complex concepts to non-expert and can organize your work in a very structured way
* Language skills: You have fluent English skills, both written and spoken,
German would be a plusPlease attach the following documents to your application:

* CV in English
* Certificate of enrollment at university
* Excerpt of the study regulations for the thesis (if applicable)
* Latest grades transcript (not older than 6 months)
* High school report

Contact:
Britta Rosenbauer

Further links:
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