REGENT

State Estimation Intern (Summer)

REGENT
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20 hours ago
North Kingstown, RI, USAIntern

Responsibilities

  • Research existing multi-agent and distributed information-fusion approaches.
  • Design or adapt an algorithm for combining sensor data across multiple Seagliders.
  • Build simulation environments in Python or MATLAB based on real platform and sensor characteristics.
  • Test and validate the algorithm using simulated data and available real data, refining the approach as needed.
  • Work with a dedicated mentor through weekly check-ins.
  • Communicate technical findings clearly to the perception team.
  • Present the algorithm and results at the end of the internship term.

Requirements

  • Strong foundation in probability theory, statistics, and linear algebra.
  • Familiarity with state-estimation concepts such as the Kalman filter through coursework or project experience.
  • Comfort using Python or MATLAB to build simulations and analyze results.
  • Ability to reason through technical problems and communicate conclusions clearly.
  • Self-motivated, curious, collaborative, adaptable, and innovative approach to open-ended technical work.

Benefits

  • Competitive compensation.
  • Housing stipend available for those temporarily relocating to join the team.
  • Daily free catered lunches.
  • Learning and professional-development opportunities.
  • Meaningful projects with mentorship and guidance from experienced team members.

Tech Stack

MATLABPython

Categories

Robotics
REGENT

About REGENT

201-500 employees

REGENT designs and manufactures all-electric seaglider vessels—wing-in-ground-effect craft that travel just above the water—for coastal passenger and cargo transport. Founded in 2020 and headquartered in North Kingstown, Rhode Island, the privately held company’s initial 12-passenger Viceroy model targets routes up to about 180 miles at roughly 180 mph using existing dock infrastructure. It sells vehicles and supporting systems to ferry operators, logistics providers, and other coastal transportation customers.

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