Scientist/ Senior Scientist - Planning, Scheduling & Optimization

CYGNIFY PTE. LTD.; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

CYGNIFY PTE. LTD. is seeking a Scientist or Senior Scientist to lead research in advanced planning, scheduling, modelling, and optimization for complex manufacturing systems.

You will work with industry partners to translate research into deployable solutions and be independent and initiative-driven. This role covers two levels—Scientist and Senior Scientist—differentiated by experience and scope of responsibility.

Qualifications

• PhD in AI, CS, OR, or related discipline with focus on optimization.
• Scientist: 0–3 years post-PhD research experience.
• Senior Scientist: 5+ years post-PhD research experience, including leadership of R&D projects.
• Strong modelling/optimization background and programming for optimization.
• Track record of scientific publications in reputable journals or conferences.
• Excellent understanding of the planning and scheduling domain.

Responsibilities

• Conduct research into innovative optimization approaches for complex planning and scheduling problems, including flexible job shop scheduling.
• Develop mathematical models and optimization approaches for large-scale scheduling problems with multiple machines and resources.
• Collaborate with engineers to translate research outcomes into deployable solutions across industry sectors.
• Engage with industry partners to understand real-world planning challenges and align research direction.
• Formulate research directions and proposals aligned to industry needs to secure funding.
• Contribute to publications and technical presentations as part of ongoing research output.

Skills

Modelling & optimization

Programming for optimization

Technical presentations

Publications

Education

PhD in AI, CS, OR, or related

Job description

About the Role

Our client is seeking a highly motivated Scientist or Senior Scientist to lead and conduct research in advanced planning, scheduling, modelling, and optimization for complex manufacturing systems. The successful candidate will work closely with our client's industry partners to translate research into deployable solutions and is expected to be independent and initiative-driven, with a demonstrated ability to develop innovative solutions to challenging industrial problems.

This posting covers two levels —Scientist and Senior Scientist— differentiated by experience and scope of responsibility, as outlined below. Applicants should indicate which level they are applying for based on their experience.

Key Responsibilities (Both Levels)

• Conduct research into innovative optimization approaches for complex planning and scheduling problems, including flexible job shop scheduling.

• Develop mathematical models and optimization approaches for complex, large-scale scheduling problems involving multiple machines, resources, and practical manufacturing constraints.

• Collaborate with a team of engineers to translate research outcomes into practical, deployable solutions across various industry sectors, particularly in planning and scheduling.

• Engage directly with our client's industry partners to understand real-world planning/scheduling challenges and align research direction accordingly.

• Formulate scientific research directions and innovative proposals aligned to industry needs, to secure competitive funding.

• Contribute to peer-reviewed publications and technical presentations as part of ongoing research output.

Additional Responsibilities — Senior Scientist

• Provide technical leadership and mentorship to junior scientists and engineers within the research team.

• Lead the formulation and execution of funded research projects, including proposal development and stakeholder management.

• Serve as a technical point of contact for industry partners on planning/scheduling engagements.

Job Requirements

Scientist

• PhD in AI, Computer Science, Operations Research, or a related discipline, with emphasis on optimization, planning, scheduling, or related areas.

• 0–3 years of post-PhD research experience (industry or academic).

• Strong modelling and optimization background; experience in flexible job shop scheduling or related problems is an advantage.

• Programming/coding skills in developing optimization algorithms.

• A track record of scientific publications in reputable journals or conferences.

• Good understanding of the planning and scheduling domain.

• Strong technical presentation and writing skills.

Senior Scientist

• PhD in AI, Computer Science, Operations Research, or a related discipline, with emphasis on optimization, planning, scheduling, or related areas.

• 5+ years of post-PhD research experience, including demonstrated leadership of R&D projects.

• Proven track record of applying optimization algorithms to real-world planning and scheduling problems.

• Experience securing competitive research funding (grant writing, proposal leadership) is highly desirable.

• Strong programming/coding skills in developing optimization algorithms.

• Strong record of scientific publications in top-tier journals or conferences.

• Deep understanding of the planning and scheduling domain, with experience translating research into industry-deployed solutions.

• Excellent technical presentation and writing skills; experience presenting to industry stakeholders preferred.

• UEN: 202329526G

• EA Licence: 23S2061