Working Student in Mass Production Semiconductor Data Science (f/m/div.)

• During your assignment you will create algorithms to analyse sensor data statistically from mass production and/or laboratory data.
• Furthermore, you will create algorithms and pipelines for semiconductor mass production analysis, which includes data mining, statistics analysis and machine learning models.
• To predict failures you will create machine learning algorithms.

• Education: studies in Computer Science/Data Science or a related technical field with good grades
• Experience and Knowledge: experienced in programming and data analysis in Python, SQL, Machine Leaning; big data analysis is an advantage (Hadoop, Spark)
• Personality and Working Practice: you have strong analytical and problem solving skills
• Work Routine (Office/mobile working): initial 2 weeks in the office for onboarding and later at least once per month office presence
• Languages: business fluent in English

Start: according to prior agreement
Duration: ideally 12 months – 15 h/week

Requirement for this working student position is the enrollment at university. Please attach your CV, transcript of records, Recommendation letter by previous employer or professor in the data science field, enrollment certificate and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Victor Castro de Morini (Functional Department)
+49 172 177 9939

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