Phaidra is looking to solve the problem of static, monolithic infrastructure in industrial automation by creating AI-powered control systems that enable industrial facilities to automatically learn and improve over time.
Requirements
- PhD in mechanical engineering, chemical engineering, control systems, applied physics, or a related technical field, with demonstrated expertise in one or more of the following areas: Thermodynamics, Fluid mechanics, Dynamic system modeling and control
- Strong foundation in machine learning and software engineering, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray.
- 1+ years of applied research experience.
- Prior experience with research projects and contributions to open-source software.
- Proficiency in Python
- Experience with PyTorch, scipy
- Experience with Kubernetes, Docker, Ray
- Experience with GCP
Responsibilities
- Collaborate with other AI researchers on applied real-world problems to demonstrate algorithmic feasibility and enhance algorithmic capabilities.
- Design and implement prediction and control algorithms for complex, nonlinear, and dynamic physical systems governed by principles of thermodynamics and fluid dynamics.
- Develop and maintain a benchmarking platform for algorithmic performance evaluation and experimental design.
- Clearly and efficiently report and present research findings and developments, both internally and externally, verbally and in writing.
- Participate in and organize ambitious collaborative research projects.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals.
- Mentor and guide Research Engineers to apply research findings and developments to industrial domains.
Other
- Alignment with our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.
- Ability to work in a remote environment
- Location within one of the following areas: UK (preferred), USA, or Canada
- Travel requirements not specified
- Degree requirements: PhD in mechanical engineering, chemical engineering, control systems, applied physics, or a related technical field
- Visa requirements not specified
