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

Infineon Technologies19 hours agoWorking Student
On-siteEnglish requiredGerman is a plus (not required)TechAI, ML & Data Science

Required skills

Data AnalysisMachine LearningPython

Job description

Infineon Technologies published this listing. We've added our own working-student context below — what this role means for your weekly hours, take-home pay and student visa as a student in Dresden, Germany.

Description provided by Infineon Technologies

#WeAreIn to create tiny chips and big careers. The future won’t wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?

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 plus

Please 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:

Find out what we are looking for in your CV

Find out how the student application process works with us

Discover our student website

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Working student essentials

What this Tech working student role in Dresden means for you — the weekly-hours rules, social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

Frequently asked questions

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