State Estimation Intern (Summer)

The role

You will research multi-agent information fusion and design or adapt algorithms to combine sensor data across a fleet of Seagliders. You will build simulations in Python or MATLAB to test and validate these approaches against simulated and real data.

What you will do

• Research existing approaches to multi-agent and distributed information fusion.
• Propose or adapt an algorithm for combining sensor data across multiple Seagliders.
• Build simulation environments in Python or MATLAB reflecting real platform and sensor characteristics.
• Test and validate algorithms in simulation and against real data.
• Partner with a dedicated mentor through weekly check-ins.
• Translate technical work into clear findings.
• Present findings to the perception team at the end of the term.

Required qualifications

• Solid foundation in probability theory, statistics, and linear algebra.
• Familiarity with state estimation concepts, such as the Kalman filter.
• Comfort using Python or MATLAB to build simulations and analyze results.
• Ability to reason through technical problems and communicate conclusions clearly.
• Self-motivated and curious mindset.
• Collaborative team player.
• Creative problem solver.
• Adaptable and agile in a fast-paced startup environment.
• Innovative mindset.

Benefits

• Competitive compensation
• Housing Stipend available for those temporarily moving to join our team
• Daily, free catered lunches
• Learning & professional development opportunities
• Meaningful projects that make an impact
• Mentorship & guidance from experienced team members

About the company

REGENT is creating the Seaglider, a wing-in-ground-effect craft designed for regional transportation between coastal cities. The company is scaling from a prototype to full production.