Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)

MAHLEOn-siteInternshipListed 1 day ago

Apply now

About this role

Time period

- Starting immediately for a period of 6 months

Tasks

- Analysis and processing of vehicle measurement data for data-driven modeling approaches

- Development and validation of surrogate models for thermal vehicle systems

- Supporting the development of innovative thermal management controllers

- Implementation and evaluation of machine learning algorithms in Python

- Conducting simulations as well as analyzing and visualizing the results

- Collaboration with experts in the fields of thermal management, control engineering, and AI

Requirements

- Currently, purely voluntary internships cannot be offered

- Currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, Mathematics, Physics, or a comparable field

- Basic knowledge of machine learning or data science

- Good programming skills in Python (e.g., NumPy, Pandas, Scikit-Learn, PyTorch) and in agentic software development

- Interest in reinforcement learning, AI, and data-driven models

- Independent and analytical approach to work

- Good command of English

Application documents

- Complete resume

- Letter of motivation

- Certificate of enrollment

- Transcripts, especially current grade reports

- University or college guidelines specifying the minimum duration

- For non-EU citizens: Valid residence permit required

Benefits

- Attractive remuneration

- 35-hour week with flexible working hours

- Paid vacation days

- Discounted lunch in the company restaurant

- Free parking

- Urban environment with good transport connections

- Individual support in the department

- Accompanying activities and student network

Do you have any questions?

[email protected]
+49 711 501-47574