Data Science, AI/ML, CS, Applied Mathematics/Statistics
Defining the mathematical systems to describe control dynamics for drones and robotic systems is difficult and non-linear, optimizing coefficients within those equations based on flight data and adding Loss Functions to minimize variance between models and real-world drone operations using multiple sets of complex time-series fight data, velocities, angles, drone configuration nuances, weather, and other factors – is a step above this. We’re looking for candidates to deploy complex optimization, tuning, and mathematical modelling to solve real-world drone and robotic systems problems.
- AI/ML applied to real-world flight vehicle data
- Black-box, unsupervised, supervised, and inference modelling/analysis
- Predictive maintenance for drone performance/health
- Part time paid consulting with future full-time opportunities
To apply, please submit your resume to Thomas Youmans at email@example.com.