Job Description
The Department of Industrial Systems Engineering and Management at the National University of Singapore is seeking applications for a Research Engineer position. This role focuses on the theory and applications of machine learning. The position emphasizes advancements in artificial intelligence and operations research, supporting Singapore's goal of using technology for societal advancement. The research aims to align with the Smart Nation and Digital Economy initiatives, as well as the Human Health and Potential initiatives, under Singapore's Research, Innovation, and Enterprise 2025 plan.
The candidate will delve into pioneering interdisciplinary research. Central areas of focus include the foundations of statistical learning, online personalization, recommendation systems, and matching markets, which are crucial for advancing the digital economy. Additionally, the role involves contributions to the fields of human healthcare, particularly applying machine learning theory to treatment effect estimation and personalized medicine.
The researcher will be expected to work collaboratively within a vibrant research community. This role is ideally suited for candidates who have demonstrated research excellence and a keen interest in interdisciplinary projects. It offers a unique chance to apply theoretical insights to practical challenges that may shape the future of digital economy and health sectors.
Job Requirements
Interested applicants are required to possess a degree in Computer Science or related fields such artificial intelligence, operations research, mathematics and/or Statistics.
Strong analytical and written communication skills are required. The candidate is also expected to work in an interdisciplinary environment with multiple stakeholders.
Candidates research capabilities evidenced with publications in top tier journals and conferences will be considered favorably.
More Information
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Industrial Systems Engineering and Management
Employee Referral Eligible: No
Job requisition ID : 23959
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