New York, New York, United States · On-site
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.…
Skills: Physics-Informed Neural Networks, Machine Learning, Electronics Design, Differentiable Simulation, Representation Learning
New York, New York, United States · On-site
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. …
Skills: PyTorch, JAX, PINNs, DeepONets, Fourier Neural Operators
New York, New York, United States · On-site
About the company Root Access is a frontier electronics company. We are a NYC-based startup funded by top hardware investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine l…
Skills: Analog Circuit Design, Digital Circuit Design, PCB Layout, Mixed-Signal Circuits, SPICE Simulation
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Lead research on physics-informed neural networks to develop new AI approaches in the field of electronics. Responsibilities include designing experiments, creating simulation pipelines, and publishing research reports and academic papers.
Candidates must be currently pursuing or have recently earned a PhD in Math, Physics, Electrical Engineering, or Machine Learning. The role requires the ability to work on-site in New York City.
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.
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.
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.
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:
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
Rage With the Machines
Helping teams configure and program mission-critical hardware with AI.
Rage With the Machines
Helping teams configure and program mission-critical hardware with AI.
