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Thesis in Virtual Factory Intelligence – Integration of Simulation and AI Agents for the Autonomous Factory (SS27)

TRUMPF GmbH + Co. KG · Ditzingen

ThesisGerman needed: fluent
Still open on 3 Nov

Key facts

Pay
Attractive pay also for mandatory internships
Duration
6 months
Summer semester 2027
Where you work
Company and home
Language needed
German and English
Subject you study
Mechanical Engineering, Mechatronics, Automation Engineering, Computer Science

What you'll do

  • For the integration of simulation domains, AI agents, and industrial metaverse applications, you develop new conceptual approaches
  • You then implement these approaches prototypically
  • In the development and evaluation of architecture and infrastructure concepts for scalable simulation environments, you support our team
  • In the interplay of AI agents and simulation in the industrial metaverse, you examine relevant use cases
  • As part of an industry-wide research project, you actively participate

What you need

  • A degree in mechanical engineering, mechatronics, automation technology, computer science, or a comparable course of study forms your technical basis
  • You bring initial experience in simulation, model creation, or programming
  • Good knowledge of simulation tools such as Siemens Simit and NX Mechatronic Concept Designer as well as programming skills in C# or Python round off your technical profile
  • Good German and English skills in word and writing enable you to communicate securely
  • With a structured and independent way of working, you combine analytical and conceptual skills with communication strength

What you get

  • Mandatory internship or voluntary internship (also in gap year between bachelor and master)
  • Attractive pay (also for mandatory internships)
  • Flexible working hours (flextime)
  • On-site or partially mobile by arrangement
  • Networking opportunities with other students
  • Subsidized meals in the company restaurant
  • TRUMPF fitness studio and various sports groups
  • Good connection to public transport

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