Simulation, AI, and HPC Workflow Specialist

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Final date to receive applications 19 Jan 2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Area of research:

Scientific / postdoctoral posts

Your Job:

In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following tasks:

• You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster
• You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes
• You will develop code for and run large-scale multi-physics simulations in the context of astrophysical applications, specifically focussing on Chimera/overset mesh implementations, and will contribute to the developments of chemistry emulators for shocks
• You will evaluate and document results in the form of open-source software, open-access publications, and project reports
• You will lead and contribute to the developments of the Shared Universe Engine (SUE), a physics-guided, intelligent, cloud-based open-source platform that combines a data laboratory, analysis tools, and interfaces to heterogeneous astrophysical data and simulations to serve as a collaborative workspace and “machinery of discovery” for researchers, educators, and the public
• In all of these activities, you will make use of JSC’s cutting-edge HPC- and Quantum-hardware

Your Profile:

• Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations
• Experience in the development of numerical methods for multi-physics application, specifically using Chimera/overset meshes and with applications to shocks
• 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 Deep Speed, and in hyperparameter optimization (HPO), as well as in designing and implementing AI+HPC+simulation workflows (experience with workflow managers for scientific applications is a plus)
• Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs, and in analyzing complex, multi-modal data
• A generalist with an interest to solve challenges using a large set of diverse software tools and applications
• Excellent written and spoken English
• Ability and willingness to work in an interdisciplinary and distributed team.

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 highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:

• MEANINGFUL TASKS: A diverse range of activities in an engaged and experienced team
• KNOWLEDGE & FURTHER TRAINING:
  Your professional development is important to us – we provide targeted, individual support
• SUCCESSFUL START:
  It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide:
• FLEXIBILITY:
  Flexible working time models, including options close to full-time (  ), allow you to tailor your working hours to suit your individual needs
• FAIR REMUNERATION:
  Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 - 14 of…