Leading complex projects and acting as an expert within the team
Exploring and applying advanced techniques for health monitoring of power systems, including internal combustion, fuel cell, and battery electric systems.
Developing, prototyping and evaluating algorithm concepts based on ML/AI and first principles modeling
Coordinating with stakeholders to align and support algorithms toward production implementation
Testing algorithms in HPC, Cloud and Edge IOT environments
Developing best practice for algorithm implementation and deployment
Engineering Subfunction: Electronic Systems
Degree Level: PhD
Educational Program: PhD in Machine Learning or Artificial Intelligence or in mechanical, electrical or computer science with research focus in ML/AI.
Start Date: Immediate
Job Skill Requirements:
Programming experience in Python and Tensorflow, PyTorch and/or Jax and sufficient programming experience to adapt to different languages and environments
Preference for experience in physics informed machine learning, federated learning, generative AI, control theory and/or system identification
First principles based reduced order system modeling
Preference for experience with HPC, cloud, edge algorithm deployment, including containerization and IoT technologies
Required Work Location: Hybrid (mix of on-site and off-site)
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