PhD Student EDB-IPP Contract
PhD Student EDB-IPP Contract
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Job Description
Trustworthy Machine Learning (ML) is a rapidly growing field focused on ensuring ML systems operate reliably fairly and transparently. As ML is increasingly applied in critical sectors like mobility manufacturing and autonomous systems ensuring its trustworthiness is essential.
This role offers an exciting opportunity to conduct cuttingedge research in developing and ensuring trustworthiness in ML systems.
- Conduct research on trustworthy ML ensuring reliability fairness and transparency.
- Develop novel methodologies to enhance ML system trustworthiness.
- Collaborate with industry and academic partners on research projects.
- Publish findings in toptier conferences and peerreviewed journals.
Qualifications :
- Singaporean or Permanent Resident (PR) (eligibility for EDBIPP program).
- Bachelors or Masters degree in Computer Science Electrical or Electronics Engineering.
- Must meet the PhD program requirements of NUS/NTU.
- Strong academic record (at least one publication in toptier conferences or journals preferred).
- Relevant research experience in machine learning artificial intelligence or data science.
- Familiarity with fairness accountability transparency and ethics in AI/ML (preferred).
- Excellent written and verbal communication skills.
- Curious selfmotivated and able to work independently.
- Passion for solving realworld problems through research.
- Fresh graduates with excellent academic results are encouraged to apply.
Additional Information :
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.
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
