PhD Fellow
Root Access•New York, NY
•Onsite
About The Position
This is a unique opportunity to lead research on physics-informed neural networks. You will work alongside our team as a member of technical staff during the fellowship to conduct research, exploring challenging scientific questions, and help inform our approach to advancing the field of electronics.
Requirements
- Currently pursuing or recently earned a PhD in Math, Physics, Electrical Engineering, or Machine Learning
Responsibilities
- Designing experiments and benchmarking methodologies
- Developing novel machine learning architectures
- Creating differentiable simulation pipelines
- Designing new electronics and collecting test measurements
- Building large-scale datasets for scientific reasoning
- Investigating new approaches to representation learning for engineering
- Conducting literature reviews and proposing original research directions
- Training and evaluating research models
- Publishing internal research reports and, where appropriate, academic papers
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
