Senior Scientist

ZENITH INFOTECH (S) PTE LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology firm in Singapore seeks a researcher to lead AI research for enterprise multi-resource planning. The successful candidate will have a PhD and over 3 years of post-PhD experience in operations research or AI. Responsibilities include developing algorithms and managing R&D roadmap to influence industry solutions. Excellent programming skills in Python are essential, and familiarity with C# .NET is advantageous. A proactive attitude and ability to collaborate are required.

Qualifications

• PhD in AI, Computer Science, Operations Research, or related fields focusing on simulation or optimisation.
• Over 3 years of post-PhD research experience in relevant areas.
• Strong background in programming and algorithm development in Python.

Responsibilities

• Lead research in optimisation algorithms and AI for resource planning.
• Design algorithms to solve operational problems and perform benchmarking.
• Work with engineers to deploy research outcomes into industrial applications.

Skills

AI

Operations Research

Machine Learning

Programming in Python

Project Management

Numerical Optimisation

Education

PhD in AI, Computer Science, or related disciplines

Tools

Python (data science and optimisation libraries)

C# .NET

Job description

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA Licence No: 20S0237

Job Overview

You will lead and conduct research in modelling, optimisation, and AI to solve complex industry challenges in the domain of enterprise multi-resource planning. You are expected to drive scientific advances in operations research with the goal of translating innovations into impactful industry solutions for some of the largest MNCs and local companies. The role is a unique intersection of research, deployment-focused algorithm design, and business relevance.

Role Responsibilities

• Lead research in rapid simulations, optimisation algorithms, and AI-enhanced workflows for enterprise multi-resource planning, primarily for the topics of production scheduling, operation planning, capacity planning, and sourcing & inventory analytics.
• Design practical algorithms to solve industry-inspired operational problems, performing solution benchmarking and discover novel market leading algorithms.
• Work with research engineers to translate research outcomes into deployable solutions for industrial applications.
• Formulate cutting edge scientific research directions and develop innovative research / project proposals aligned with industry needs.
• Drive competitive research funding proposals and collaborations with industry and academic partners (IHLs, other research institutes etc.).
• Contribute to the development of the company's R&D roadmap in enterprise optimisation.
• Publish at leading international academic or industrial journals and conferences to contribute to the company's reputation as a leading R&D organisation.
• Mentor junior researchers in scientific methods and research professionalism.

Qualifications

• PhD in AI, Computer Science, Operations Research, or related disciplines with a clear emphasis on simulation, optimisation, machine learning, or data science.
• Deep understanding of production scheduling, operations planning, capacity planning, or sourcing & inventory analytics in the context of manufacturing.
• Strong background in modelling (e.g. discrete-event simulations), numerical optimisation (exact methods, meta-heuristics, surrogate-model-assisted methods) and AI as applied to solving various operations research problems. Experience with industry problems under real-world conditions is particularly sought after.
• Over 3 years of experience in post-PhD research.
• Demonstrated leadership or project management in relevant areas. Experience in managing project delivery teams would be highly advantageous.
• Proven expertise in programming and algorithm development in Python (with all the associated data science and optimisation libraries). C# .NET, software engineering, and productisation experience would be advantageous.
• A track record of publications in top-tier journals and conferences.
• Excellent verbal and written communication skills, adaptable to various technical and non-technical contexts: research conferences, business presentations, and software development teams.
• Positive, proactive attitude, with the ability to influence and collaborate effectively across multiple stakeholders.

Application

Please send your latest CV in MS Word format to [e-mail]

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.