Internship Power Electronics Development & Data Analysis (f/m/d)
Internship Power Electronics Development & Data Analysis (f/m/d)
Kassel, DE, 34219
Internship Power Electronics Development & Data Analysis (f/m/d)
Work environment
Possible tasks within this role
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Developing code to analyze the behavior of control units using machine learning algorithms or statistical methods
-
Implementing analysis pipelines for large datasets collected from control units
-
Creating evaluations and reports for validation activities
-
Supporting the implementation of new functions in digital tools and assisting power users in room and resource management systems
-
Preparing reports and templates
Qualification requirements
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Master’s students (or advanced Bachelor’s students with at least 90 ECTS credits) in Computer Science, Data Science, Electrical Engineering, or comparable fields of study
-
Good to excellent academic performance
-
Solid knowledge of Python programming as well as basic understanding of statistics and machine learning
-
Experience with data analysis tools and visualization techniques
-
Knowledge of control management and electric drive technologies, as well as experience in international project environments, is a plus
-
Strong teamwork skills and proficiency in MS Office
-
English language level B2
The following documents must be submitted with your application
- Curriculum Vitae
- Current certificate of enrolment
- Current transcript of records
- Work permit for non-EU citizens
- In case of a compulsory internship, a certificate from the university
Keywords
Embedded Systems, Signal Processing, Automotive Software Engineering, Data Pipelines, Power Electronics Testing, Algorithm Development, Simulation Tools, Predictive Analytics, Control Systems Engineering
Contact person for this posting: Maximilian Kaeding
Work environment
Possible tasks within this role
-
Developing code to analyze the behavior of control units using machine learning algorithms or statistical methods
-
Implementing analysis pipelines for large datasets collected from control units
-
Creating evaluations and reports for validation activities
-
Supporting the implementation of new functions in digital tools and assisting power users in room and resource management systems
-
Preparing reports and templates
Qualification requirements
-
Master’s students (or advanced Bachelor’s students with at least 90 ECTS credits) in Computer Science, Data Science, Electrical Engineering, or comparable fields of study
-
Good to excellent academic performance
-
Solid knowledge of Python programming as well as basic understanding of statistics and machine learning
-
Experience with data analysis tools and visualization techniques
-
Knowledge of control management and electric drive technologies, as well as experience in international project environments, is a plus
-
Strong teamwork skills and proficiency in MS Office
-
English language level B2
The following documents must be submitted with your application
- Curriculum Vitae
- Current certificate of enrolment
- Current transcript of records
- Work permit for non-EU citizens
- In case of a compulsory internship, a certificate from the university
Keywords
Embedded Systems, Signal Processing, Automotive Software Engineering, Data Pipelines, Power Electronics Testing, Algorithm Development, Simulation Tools, Predictive Analytics, Control Systems Engineering
Contact person for this posting: Maximilian Kaeding
Kassel, DE, 34219