Research Fellow [AI/ML Failure Analysis]

National University of Singapore; Singapore; Vor Ort; SGD 70.000 - 100.000; Vollzeit

Zusammenfassung

National University of Singapore invites applications for a Research Fellow to advance applied AI research in failure analysis and fault isolation for hybrid electronics. The role emphasizes ML-guided diagnostics, integration with test platforms, and collaboration with industry partners.

The candidate will supervise junior researchers and contribute to publications, patents, and technology disclosures while delivering milestones within projects.

Qualifikationen

• Ph.D. or equivalent in engineering or physics from a reputable institution.
• Experience in microelectronic research, metrology and electrical testing is advantageous.
• Proficiency in data analysis and interpretation with statistical tools.
• Excellent communication and collaborative work in research environments.
• Motivated with strong writing and presentation skills.
• Ability to work independently and in diverse teams.
• Open to Fixed Term Contract.

Aufgaben

• Conduct AI/ML research for semiconductor failure analysis and fault isolation.
• Develop algorithms for defect detection, classification and failure analysis.
• Lead integration of ML-driven diagnostic tools into workflows.
• Manage large-scale data preprocessing and analysis for experiments and simulations.
• Publish findings and present at conferences with industry partners.

Kenntnisse

AI/ML techniques

Data analysis

Communication skills

Collaborative research

Ausbildung

Ph.D. in Electrical/ Electronics/ Mechanical/ Chemical Engineering/ Physics/ Materials

Tools

Statistical tools

Data visualization

Jobbeschreibung

Job Description

The ECE Department at NUS is seeking a Research Fellow to support applied AI research in failure analysis and fault isolation. The successful candidate will focus on developing and integrating machine learning–guided failure analysis and diagnostic capabilities for hybrid electronics. This position offers an exciting opportunity to work at the forefront of semiconductor technology, with close collaboration across industry partners and academic researchers.

Responsibilities

1. Research & Development
   • Conduct research on AI/ML techniques for semiconductor failure analysis.
   • Develop novel algorithms and methodologies for defect detection, classification, and failure analysis.
   • Supervise and mentor junior researchers and graduate students in related research activities.
2. System Integration
   • Lead the design and integration of ML-driven diagnostic tools into failure analysis workflows.
   • Build robust and scalable software solutions interfacing with diagnostic instruments and test platforms.
   • Drive optimization of system performance for real-world deployment.
3. Data Analysis & Reporting
   • Manage the collection, preprocessing, and large-scale analysis of experimental and simulation datasets.
   • Validate and benchmark AI-driven predictions against empirical outcomes.
   • Prepare technical reports, publications, and presentations for both academic and industry audiences.
4. Project Management & Collaboration
   • Take responsibility for delivering research milestones within project timelines.
   • Serve as the primary liaison with industry partners to align objectives and ensure impactful outcomes.
5. Innovation & Intellectual Property
   • Drive innovation in diagnostic methodologies and failure analysis workflows.
   • Contribute to patent filings, technology disclosures, and commercialization efforts.
   • Publish findings in high-impact journals and present at leading conferences.

Qualifications

• Ph.D. or equivalent degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have advantage.
• Proficiency in data analysis and interpretation using statistical tools and software packages.
• Excellent communication skills and the ability to work effectively in a collaborative research environment.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.