PhD Research Opportunities in Computational Physics
4 weeks ago
Pacific Fusion is seeking an exceptional research intern to contribute to the development of novel machine learning systems that accelerate critical computational capabilities in fusion energy research.
As a member of our machine learning team, you will collaborate with computational physicists, target designers, and experimental physicists to advance our understanding of complex physical phenomena. Your work will involve designing, implementing, and training novel ML architectures, as well as producing high-quality reports and publications.
Responsibilities and QualificationsYour primary responsibilities will include:
- Conducting research on novel ML methods for accelerating expensive CFD-like simulations used for fusion target design
- Designing, implementing, and training novel ML architectures
- Producing internal and external reports on your work, including whitepapers and publications in top-tier research venues
To be considered, you must possess:
- Current pursuit of a PhD in Machine Learning, computational physics, plasma physics, or related fields
- Hands-on experience with deep learning algorithms, techniques, and frameworks like PyTorch and JAX
- Proficiency in Python, scientific computing (numpy, scipy, matplotlib), and software development
- A proven track record of publications at ML venues or top-tier physics journals
This internship offers a competitive salary range of **$90,000 - $120,000 per year**. Our total compensation package includes equity and benefits, reflecting our commitment to supporting the growth and success of our team members.
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