Position Summary
- Applied and fundamental research in Prognostics and Health Management: Example areas of application and concentration include electronic components, rotating machinery, energy storage systems.
- Applications of prognostics in functional safety improvement through expanded diagnostic coverage and AI-based reliability improvement
- Development of hybrid methods by combining data-driven analysis along with the physics of failure
- Improvement of the transparency and interpretability in data analytical methods for AI-based analysis
Minimum Qualifications
- Doctoral degree in Engineering, Physical Sciences, Mathematics, or Computer Science
- Experience with execution of research projects with a track record of publications
Application Documents
- CV
- Cover Letter
- List of References
To apply for the position, send the documents to Dr. Michael Azarian and Dr. Diganta Das.
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