Working Student (m/f/d) in Physical AI

Knorr-Bremse AG · Aldersbach

WerkstudentGerman needed: fluent

Still open on 6 Nov

You apply on the company's own website.

Key facts

Language needed: German and English
Subject you study: Engineering, Business Informatics, Data Science, Information Systems, Industrial Engineering

Work with and support the departments to assess the use of Physical AI (humanoid robotics), capture their requirements and translate them into technical concepts.
Assessment of the workplaces of the 400 full-time equivalents at production level
Classification of workplaces by difficulty level from 1 to 5
Quantifying the strain on employees using ergonomic methods (REBA / RULA; MTM / REFA, where available)
Create a skills matrix based on task complexity × the required maturity level of Physical AI.
Feasibility assessment using KPIs (lead time, OEE) and a basic cost analysis (ROI / payback)
Comparison of scenarios: current vs. humanoid-supported vs. standard automation

Studies in a relevant or comparable field: engineering, business informatics, data science / business analytics, information systems, industrial engineering with a focus on Physical AI.
First experience with industrial workplaces and Physical AI (robotics, mechanics, information systems)
Basic knowledge of the complexities of how different disciplines interact is an advantage.
Knowledge of assessment methods is an advantage.
Analytical thinking and a structured way of working.
Basic knowledge of business processes.
Independent work combined with teamwork skills.
Very good German (min. C1) and English (min. B2), spoken and written.

Exciting and varied work in an international environment and an attractive package
Wide range of training opportunities
Occupational health services and preventive healthcare
Sports and health programs
JobRad (company bike)
Modern company site with varied canteen

Work with and support the departments to assess the use of Physical AI (humanoid robotics), capture their requirements and translate them into technical concepts.
Assessment of the workplaces of the 400 full-time equivalents at production level
Classification of workplaces by difficulty level from 1 to 5
Quantifying the strain on employees using ergonomic methods (REBA / RULA; MTM / REFA, where available)
Create a skills matrix based on task complexity × the required maturity level of Physical AI.
Feasibility assessment using KPIs (lead time, OEE) and a basic cost analysis (ROI / payback)
Comparison of scenarios: current vs. humanoid-supported vs. standard automation

Studies in a relevant or comparable field: engineering, business informatics, data science / business analytics, information systems, industrial engineering with a focus on Physical AI.
First experience with industrial workplaces and Physical AI (robotics, mechanics, information systems)
Basic knowledge of the complexities of how different disciplines interact is an advantage.
Knowledge of assessment methods is an advantage.
Analytical thinking and a structured way of working.
Basic knowledge of business processes.
Independent work combined with teamwork skills.
Very good German (min. C1) and English (min. B2), spoken and written.

Exciting and varied work in an international environment and an attractive package
Wide range of training opportunities
Occupational health services and preventive healthcare
Sports and health programs
JobRad (company bike)
Modern company site with varied canteen