Role Overview
We are seeking a passionate and dedicated PhD Student to join our joint research collaboration between NTU - College of Computing and Data Science (CCDS) and Bosch Digital working at the cutting edge of Trustworthy and Sustainable AI and Federated Learning. This role offers a unique opportunity to work on impactful research that bridges academia and industry shaping how machine learning is used in critical high-stakes environments.
What you will do (Key Responsibilities)
- Tackle real-world challenges to make ML systems fair transparent and robust.
- Conduct innovative research on accountability bias mitigation robustness explainability and privacy.
- Collaborate with world-class researchers from both academia and industry.
- Work in state-of-the-art labs and gain exposure to real-life applications in autonomous systems manufacturing and smart mobility.
- Publish present and contribute to the global research community in ML safety and AI governance.
Qualifications :
What Were Looking For (Qualifications & Skills)
- Singaporean or Permanent Resident (to be eligible for EDB-IPP program).
- Bachelors or Masters degree in Computer Science Electrical or Electronics Engineering.
- Fulfill the NTU PhD admission requirements.
- Excellent written and verbal communication skills.
- Curious self-motivated able to work independently and with a passion to tackle real-world 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 top-tier conferences or peer-reviewed journals (preferred).
- Fresh degree holders with excellent academic results are also encouraged to apply.
Additional Information :
Why Join Us
At Bosch we offer more than just a job; we provide a platform for career growth and development. Youll benefit from:
- Flexible working hours
- Continuous learning
- Career mobility across functions and regions
- Well-being support and employee assistance programs
- Attractive compensation including bonus schemes and insurance
- Inclusive culture built on respect collaboration and empowerment
- Access to world-class research facilities at NUS and Bosch.
- Opportunity to work on cutting-edge research with real-world impact.
- Collaboration with experienced researchers and industry professionals.
- Support for your academic and professional development.
Next Steps Our recruitment process typically includes:
- Application screening
- Interview(s) with Hiring Manager Business Leaders and HR
Ready to advance your research career with Bosch Apply Now!
Additional Information:
About the IPP PhD program:
The Singapore Economic Development Board (EDB) Industrial Postgraduate Programme (IPP) is an initiative by EDB to build a pool of postgraduate manpower in Singapore with critical R&D skill-sets for R&D roles in the industry through graduate training in a corporate R&D environment. EDB will provide funding support to the participating company and trainee including the IPP trainees tuition fees. The support duration for each trainee is capped at 4 years per PhD or 2 years per MSc.
Remote Work :
No
Employment Type :
Contract