Skills
physics-informed neural networks
machine learning research
neural networks for scientific computing
About the Role
Root Access is seeking a PhD fellow to lead research on physics-informed neural networks. This onsite fellowship is based in New York City and provides the opportunity to contribute as a member of our technical staff while tackling challenging scientific questions.
Responsibilities
- Drive research efforts in physics-informed neural networks
- Collaborate with engineers across electrical, firmware, software, and machine learning
- Explore scientific problems that can inform next-generation approaches in electronics
- Share findings and help shape the team’s research direction
Requirements
- Currently pursuing or recently earned a PhD in Mathematics, Physics, Electrical Engineering, or Machine Learning
- Strong interest in applying neural networks to physics-based problems
- Ability to work onsite in NYC
Benefits
- Hands-on research experience alongside a multidisciplinary engineering team
- Onsite NYC fellowship environment
- Opportunity to transition to full-time during the fall 2026 season (part-time may be discussed)
This job was curated and enriched by FindJobHere to help your search. Apply on the original website: jobs.ashbyhq.com.
Learn how it works.