Research Assistant (XAI)
External
National University Of Singapore · Lower Kent Ridge Road, SingaporePrepare for this interview
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Requirements
- Machine learning
- Explainable AI
- Algorithms for the simulation of classical dynamical systems (including climate-relevant targets such as transport, multiscale flows, and extremes)
- Signal processing, time evolution, and structure-preserving transformations
Additional Information
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28XAI%29/33520-en_GB/ We regret that only shortlisted candidates will be notified. Job Description This position focuses on advancing the mathematical and computational foundations of interpretable algorithms for dynamical systems and explainable AI. The successful candidate will develop new methods for modelling, simulating, and understanding complex dynamical processes with a focus on Earth system science, and connections to physics-informed learning, and interpretable machine intelligence.
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Company Intel
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