Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector
Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields
Drawing on expertise from a variety of disciplines including model-based reinforcement learning, planning and optimal control, deep learning, world models, and safe reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying it to real-world industrial control systems
PhD in a technical field or equivalent practical experience, with a strong background in model-based reinforcement learning and demonstrated knowledge in one or more of the following
Planning algorithms
World models / learned dynamics surrogates
Reinforcement Learning and Deep Learning
Control Theory
Safe / constrained RL
Either
2+ years of research experience in academia or industry after PhD graduation
5+ years of research experience in academia or industry after Master’s graduation
Extensive research in the fields of {ModelBased, ModelFree, Safe} RL and Control Theory, with particular depth in model-based methods
Hands-on experience building and evaluating agents against simulators (e.g. differentiable simulators or world models) and closing the sim-to-real gap
Alignment with Phaidra's values: Agency, Velocity, Craft, & Truth
PhD in machine learning, control, or a closely related field
Deep, hands-on experience with model-based RL and planning agents applied to real-world dynamical or industrial systems
Strong Python and PyTorch skills, including vectorized/differentiable simulators and scaling experiments on distributed compute (e.g. Ray, Kubernetes, GCP)
A proven track record of publications in RL, control, or a related area
A real passion for AI and applying it to industrial systems to improve resource efficiency
You will have a solid understanding of what Phaidra does and how we do it
You will have met with team members across Phaidra and started building relationships that will help you be successful at your job
You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one
You will be immersed in an onboarding program that introduces you to Phaidra and our product
You will spend time in the research team and get introduced to the different tracks of research that we perform
You will learn how other teams operate, interact, and approach problems
You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra
You will set up your development environment and get introduced to various parts of our code base