COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on robust evaluation of AI=generated code. Successful candidate will be part of an active research team led by Prof WYNTER from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Research into new methods.
• Preparation and carrying out experimental tests.
• Writing research papers of a quality suitable for publication in top venues.
• Other duties as assigned.

• Minimum Master's with preference a PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Gen AI.
• Minimum 2 years of relevant research experience Gen AI including writing and publishing papers.
• Proficiency in programming software/languages such as python will be positively considered/ is required.
• Proven track record and professional experience in publishing research papers.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications in Gen AI and classic AI area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

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