Source description
About the role
About THE Company
Root Access is a frontier electronics company. We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning.
About THE Fellowship
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.
WHO THIS IS FOR:
If you are currently pursuing or recently earned a PhD in Math, Physics, Electrical Engineering, or Machine Learning this Fellowship is for you. The fellowship is on-site only in NYC. Fellows are encouraged to go full-time with us during the fall 2026 season but we are open to discussing part-time depending on your needs.
WHAT YOU WILL DO:
As a PhD Fellow conducting research, you'll work alongside the team to develop new approaches to artificial intelligence in the field of electronics.
Projects may include:
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Designing experiments and benchmarking methodologies
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Developing novel machine learning architectures
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Creating differentiable simulation pipelines
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Designing new electronics and collecting test measurements
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Building large-scale datasets for scientific reasoning
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Investigating new approaches to representation learning for engineering
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Conducting literature reviews and proposing original research directions
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Training and evaluating research models
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Publishing internal research reports and, where appropriate, academic papers
More at Root Access