Undergraduate research assistant conducting studies on the ecology of insects in agricultural systems at Penn State. Collaborate with graduate students and researchers on pest management strategies and data analysis.
About the role
- Senior Researcher working on industry-changing Physics AI surrogate models at Emmi AI. Bridging research with real-world applications and publishing at top-tier ML/AI venues.
Responsibilities
- 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
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Experience level
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