Senior Research Scientist focused on quantum computing performance and pioneering research. Working with AI and control theory to optimize quantum systems in a high - performance culture.
About the role
- Work on industry-changing Physics AI surrogate models bridging the gap between basic research and real-world applications.
- Push the boundaries of current SOTA AI-based simulation technologies and publish at top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR).
- Utilize tools like PyTorch, JAX, and OpenFOAM on large-scale compute clusters for projects and research.
- Collaborate closely with a dynamic team to tackle exciting problems.
Requirements
- Strong and diverse set of (software) engineering skills (Git, Clean Code, working with Linux and Slurm, software testing, …)
- Excited about bridging the gap between basic research and real world applications.
- Able to quickly understand real world industrial problems and tackle them with appropriate state of the art ML approaches and AI models.
- Experience utilizing a large scale AI cluster to efficiently train and optimize large AI models across multiple GPUs and nodes.
- Especially excited about creating value for customers by solving pain-points and enabling new business & product opportunities.
- Experience with Physics AI for imitating large-scale numerical simulations with AI.
Benefits
- Hybrid Work Model: Enjoy the flexibility to work from any EU time zone while staying connected to our Linz hub for in-person collaboration.
- Research Hub in Austria: Stay connected to our hub in Linz, in the heart of Europe.
- Impact: Shape the future of industrial AI and drive meaningful projects for our customers.
- Growth & Learning Opportunities: Attend conferences like NeurIPS, participate in offsites, and work in an environment that prioritizes research and continuous learning.
- Competitive & Personalized Benefits: A compensation package tailored to your needs and circumstances.
Job title
Job type
Experience level
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Not specified
Degree requirement
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NR
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