Doctoral student in Explainable Machine Learning for Neuromorphic Computing
Core
Conducting independent research on explainable machine learning for neuromorphic computing to enable predictive materials discovery of sustainable topological magnets.
Role type
Doctoral researcher (PhD student)
Builds
Research outputs leading to a doctoral thesis on brain-inspired AI design for sustainable computing.
Domain
Materials science, neuromorphic computing, artificial intelligence
Deliverable
research
Required skills
Machine learning, explainable AI, neuromorphic computing, materials discovery, topological magnets
Preferred skills
None stated
Technologies
None stated
Responsibilities
Conduct independent research project, complete doctoral thesis, participate in interdisciplinary research collaboration
Seniority
Early career, PhD candidate
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