Senior Scientist, SVS/DMD, ARTC

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A leading research institution in Singapore is looking for a highly motivated (Senior) Scientist to conduct impactful research in AI/ML and optimisation. You will lead collaborations and develop advanced manufacturing solutions while mentoring junior researchers. A PhD in a relevant field and a minimum of 3 years of post-PhD research experience are required. The role is essential to bridge academia and industry by publishing at top-tier conferences, contributing to the institution's strong reputation.

Qualifications

• PhD in a relevant field focusing on optimisation, AI/ML or data science required.
• 3+ years of post-PhD research experience necessary.

Responsibilities

• Lead research integrating AI/ML and optimisation.
• Collaborate to translate research into industrial solutions.
• Publish findings in leading academic journals.

Skills

Production scheduling

Operations planning

Mathematical optimisation

AI/ML

Communication skills

Mentoring

Education

PhD in Computer Science, Industrial Engineering, or related field

Tools

Python

C#/.NET

Job description

Overview

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness. The Smart Virtual Systems (SVS) Group is seeking a highly motivated (Senior) Scientist to conduct research in modelling and optimisation for complex industry challenges, particularly in enterprise multi-resource planning. This role bridges academic excellence and industrial impact, driving innovations into deployable solutions for leading MNCs and local companies.

Key Responsibilities

• Lead and collaborate with other scientists on research integrating AI/ML, mathematical optimisation, and digital simulation to address industry-driven operational challenges, including production scheduling, operations planning, capacity planning, and process optimisation.
• Work with research engineers to translate research outcomes into deployable industrial solutions.
• Develop competitive research proposals and foster collaborations with industry and academic partners (e.g., MNCs, IHLs, other research institutes).
• Publish at leading academic journals and conferences to contribute A*STAR\'s reputation as a leading R&D organisation.
• Mentor junior researchers and students in scientific methods and research professionalism.

Job Requirements

Education & Experience

• PhD in Computer Science, Industrial Engineering, Operations Research, or a related field with a focus on optimisation, simulation, AI/ML, or data science.
• 3+ years of post-PhD research experience (Senior Scientist level).

Technical Expertise

• Strong knowledge of production scheduling, operations/capacity planning, and inventory/sourcing analytics in manufacturing contexts.
• Solid background in simulation (e.g., DES), mathematical optimisation (e.g., exact methods, meta-heuristics, surrogate-based algorithms), and AI/ML (e.g., reinforcement learning, genetic programming).
• Proficiency in Python for programming and algorithm development; C#/.NET or software engineering experience is advantageous.

Research & Impact

• Experience addressing real-world industry problems.
• Strong publication record in top-tier journals and conferences.

Professional Skills

• Excellent verbal and written communication skills across technical and business audiences.
• Positive, proactive mindset with the ability to collaborate and influence across multidisciplinary stakeholders.