Senior Scientist | Contract (3 years)

ZENITH INFOTECH (S) PTE LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading IT solutions provider in Singapore is seeking a highly motivated Scientist/Senior Scientist to lead research in optimization and multi-resource planning. Candidates should have a PhD in relevant fields and experience in R&D leadership. The role involves developing innovative algorithms and collaborating with engineers to find practical industry solutions. This is a full onsite contract position lasting 3 years with a competitive working schedule.

Qualifications

• PhD degree in AI, Computer Science, Operations Research, or relevant disciplines.
• Experience in modeling and optimization.
• 3 years’ experience leading R&D projects.

Responsibilities

• Research into optimization algorithms for multi-resource planning problems.
• Collaborate with engineers to create practical solutions.
• Formulate scientific research directions to secure funding.

Skills

Optimization algorithms

Machine learning

Data-science

Programming skills

Technical presentation

Technical writing

Education

PhD in AI, Computer Science, or Operations Research

Job description

ABOUT THE COMPANY

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 20S0237

Employment Details

Employment type: Contract - 3 years

Location: Depot Fusionopolis

Working Hours: 8:30AM to 6:00PM (Mon-Fri)

Working Arrangement: Full Onsite

The department's core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

Key roles & responsibilities

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 3 years’ experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Good understanding of the production planning & scheduling domain
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems is a plus

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