Working Student: Data Science for Reliability and

**Take responsibility**: You analyze and process large datasets to extract meaningful insights and identify patterns related to the reliability and quality of MEMS devices.
- **Expand your horizons**:You develop and implement predictive models using machine learning algorithms to foresee potential reliability issues and enhance device performance.
- **Data is everything**: You program and script to automate data processing tasks and create user-friendly data visualization tools.
- **Shape the future**:You conduct statistical analysis to support the development and optimization of MEMS devices.
- **Reliable work**: You document and present findings in a clear and concise manner to stakeholders.

**Your Profile**
You are best equipped for this task if you have:

- **Study field**: You are currently studying Electrical Engineering, Physics or a related field of study.
- **Experience**:You have hands-on experience with MATLAB or Python, demonstrated through coursework, projects, or internships.
- **Interests**:You possess a solid understanding of semiconductor physics, with a specific interest in MEMS devices.
- **Way of working**:You show proficiency in data analysis and statistical methods, including experience with machine learning techniques. Furhermore, you exhibit a strong analytical mindset with the ability to interpret complex datasets and provide data-driven solutions.
- **Skills**:You demonstrate effective communication skills, both written and verbal, with the ability to convey technical information clearly.
- **Personality**:You are a proactive learner who is eager to expand your knowledge and take on new challenges and you enjoy working in a team environment and contributing to collaborative projects.
- **Language Skills**:You have good English skills in speaking and writing; proficiency in German is a plus but not required.
- CV in English
- Certificate of enrollment at university
- Latest grades transcript (not older than 6 months)
- High school report

Important information:

- **Working part-time**: The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week.
- **Proper students (according to the German law) are welcome**: You must be enrolled, and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave.
- **You should live close to the site**: It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.

**Contact**:
Sophia Dechant

**Further links**:

- Find out what we are looking for in your CV
- Discover our student website

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