Engineer, Physicist, Mathematician – Process & Method Development for Complex Simulations in Vehicle Development (CFD/FEM/MKS) (m/f/d)
- Topics on the cutting edge. Artificial Intelligence, Autonomous Driving, E-Mobility, Model Based Systems Engineering, and Virtual Experience
- Our claim. Thanks to our research expertise we score high in our industrial projects
- We are a TOP team. Highly qualified (PhD/Masters), international, innovative, cosmopolitan, and with a soft spot for collaborative work
- Our clients and partners. Mercedes-Benz, Daimler Truck, BMW, Audi, Porsche, CARIAD, IBM, Dassault Systèmes, Samsung, and Microsoft
- Remote work. Close cooperation with our clients, either virtually or at one of our locations in Stuttgart, München or Ingolstadt, depending on the project
Your Tasks
- You will proactively advise our customers in all dimensions of virtual product development and work closely with them
- You will model complex technical systems and physical relationships, e.g. in the context of autonomous and automated driving
- You will answer technical questions using numerical methods, big data analysis or artificial intelligence and are responsible for their implementation and analysis
- Prepare component models, system models and overall models as part of the simulation processes
- Carry out simulations in the overall vehicle and at a component level.
- Evaluate simulation results and identify interdependencies
- Develop optimization proposals for design and system improvement and advise our customers on issues in this area
- Work on the further development of our simulation environments and methods for the preparation, execution and analysis of simulations and optimization of the overall process
Your Profile
- Completed degree with good grades in Engineering or Natural Sciences (Computational Engineering, Mechatronics, Electrical Engineering, Mechanical Engineering, Vehicle and Engine Technology, Aeronautics and Aerospace), Mathematics or Physics
- Very good knowledge of at least one high-level programming language such as C++, C#, Python, Matlab, VBA or Java and much enjoyment in its application
- Advanced knowledge of at least one simulation method in the field of engineering (Fluid Dynamics, Multi-body Dynamics, Structural Dynamics, ...)
- Experiences in simulation software are desirable (e.g. CFD: StarCCM+, Fluent/CFX, OpenFOAM, PowerFLOW; FEM: Ansys, Abaqus, Nastran, ... ; MKS: Simpack, Adams, ... ; CAE: ANSA, Hypermesh, Siemens NX, Catia)
- Some experience in the automotive sector and with the simulation or design tools used there
- An innovative spirit, ability to be proactive and love of learning
- Very good communication and teamwork skills and eagerness to work with team and customers
- Winning appearance and a good sense of humor
- Very good English skills
Facts & Benefits
- Work in a highly motivated and interdisciplinary team of excellent engineers, computer scientists and natural scientists
- You contribute your own ideas from the outset and play an active role in shaping the company
- Direct link to your previous research in a business context
- Help shape the future with your own ideas and leave your personal fingerprint
- Direct collaboration with the development and IT departments of premium vehicle manufacturers
- Research contacts with leading universities such as the Massachusetts Institute of Technology, including participation in international conferences and workshops
- Flexible work design, attractive flexible working hours and remote working
- Structured onboarding together with your TWT mentor and open ears for all your questions
- Attractive additional benefits, for example sustainable mobility offers such as a job bike or a job ticket
If you are interested in other positions, please indicate these in the "Further interesting job offers" box when applying for your favorite position (see FAQ).
Contact
Location: Stuttgart, Munich, Ingolstadt
If you have any questions do not hesitate to contact Mr. Hendrik von Schöning.
TWT GmbH Science & Innovation · Industriestraße 6 · 70565 Stuttgart · Tel. +49 - 711.21 57 77.0
