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

Knorr-Bremse AG

WerkstudentGerman needed: fluent

Still open on 1 Nov

You apply on the company's own website.

What you will do

Work with and support the specialist departments in assessing the use of Physical AI and translating requirements into technical concepts.
Assess the workstations of 400 full-time equivalents on the production floor.
Classify workstations according to a difficulty level from 1 to 5.
Quantify employee workload using ergonomic methods such as REBA, RULA, MTM and REFA where available.
Create a skills matrix based on task complexity and the required maturity level of Physical AI.
Assess feasibility using KPIs such as throughput time and OEE, and conduct a basic cost analysis covering ROI and payback.
Compare the current, humanoid-assisted and standard automation scenarios.

Degree studies in a relevant or comparable field, such as engineering, business informatics, data science / business analytics, information systems or industrial engineering with a focus on Physical AI.
Initial experience with industrial workstations and Physical AI, especially robotics, mechanics or information systems.
Basic knowledge of interdisciplinary collaboration and assessment methods is an advantage.
Analytical thinking and a structured way of working.
Basic knowledge of business processes.
Ability to work independently and as part of a team.
Very good German skills (at least C1) and English skills (at least B2), both written and spoken.

Work with and support the specialist departments in assessing the use of Physical AI and translating requirements into technical concepts.
Assess the workstations of 400 full-time equivalents on the production floor.
Classify workstations according to a difficulty level from 1 to 5.
Quantify employee workload using ergonomic methods such as REBA, RULA, MTM and REFA where available.
Create a skills matrix based on task complexity and the required maturity level of Physical AI.
Assess feasibility using KPIs such as throughput time and OEE, and conduct a basic cost analysis covering ROI and payback.
Compare the current, humanoid-assisted and standard automation scenarios.

Degree studies in a relevant or comparable field, such as engineering, business informatics, data science / business analytics, information systems or industrial engineering with a focus on Physical AI.
Initial experience with industrial workstations and Physical AI, especially robotics, mechanics or information systems.
Basic knowledge of interdisciplinary collaboration and assessment methods is an advantage.
Analytical thinking and a structured way of working.
Basic knowledge of business processes.
Ability to work independently and as part of a team.
Very good German skills (at least C1) and English skills (at least B2), both written and spoken.