PhD Student EDB-IPP Contract
PhD Student EDB-IPP Contract
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Job Description
Tasks:
Trustworthy Machine Learning (ML) is an emerging field dedicated to ensuring that ML systems operate in a reliable fair and transparent manner. As ML applications become increasingly integrated into critical sectors such as mobility manufacturing and autonomous systems the importance of trustworthiness in these systems has never been more paramount.
This position offers an exciting opportunity to conduct cuttingedge research in developing and ensuring trustworthiness in ML systems.
The successful candidate will be working at worldclass laboratories in NUS and Bosch contribute to advancing the field by addressing key challenges such as transparency fairness accountability robustness and privacy in ML models and applications.
Qualifications :
- Singaporean or PR (to be eligible for EDBIPP program).
- Bachelors or Masters degree in Computer Science Electrical or Electronics Engineering
- Fulfill the National University of Singapore (NTU/NUS) PhD programme requirements.
- Excellent written and verbal communication skills.
- Curious selfmotivated able to work independently and a passion to tackle realworld problems through research.
- Relevant research experience in the field of machine learning artificial intelligence and data science.
- Familiarity with concepts of fairness accountability transparency and ethics in AI/ML is a plus.
- Strong academic record with at least one publication in toptier conferences or peerreviewed journals (preferred).
- Fresh degree holders with excellent academic results are also encouraged to apply.
Additional Information :
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
