Computational Fluid Dynamics

**Your Job**:
In this position, you will be an active member of the SDL “Fluids & Solids Engineering” with the following tasks:

- You will work together with international partners in EU-funded projects
- You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural networks, graph neural networks, transformers, etc.) for the integration in multi-physics simulation codes
- You will work on analyzing the accuracy and scalability of such methods, and will improve the performance of AI models with Hyperparameter Optimization (HPO) methods
- You will join the development of itwinai, a Python library that streamlines AI workflows
- In all of these activities, you will make use of JSC’s cutting-edge HPC- and Quantum-hardware

**Your Profile**:

- Master's and preferably subsequent PhD degree in Engineering, Physics, Computer Science or other related fields
- Experience in programming in Python and C++, and in using scripting languages commonly used on Unix systems. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus.
- Experience in AI programming with, e.g., PyTorch(-DDP), Horovod, or DeepSpeed, and in HPO
- Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs
- Excellent written and spoken English
Ability and willingness to work in an international, interdisciplinary, and distributed team; willingness to travel (also for short stays at partner institutions) for, e.g., scientific exchange and or intense project hackathons.
- Note that it is not necessary to fulfil all of these requirements in order to be considered for the position. We want you to fit in with us as a person, not just your profile.

**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:

- A diverse range of activities in an engaged and experienced team
- Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems including the upcoming first Exascale computer in Europe
- Comprehensive training courses and individual opportunities for personal and professional further development
- Extensive company health management
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
- Flexible work (location) arrangements, e.g. remote work in accordance with the tasks
- Flexible working hours in a full-time position (39 hours/week) with the option of slightly reduced working hours
30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)

The position is initially for a fixed term of 2 years, with possible long-term prospects. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.