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:

• 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