Total 5 Science / R&D / Research job vacancies

Responsibilities:

·       Develop product in accordance to food regulations, food safety standard and country standard policy

·       Participate in related R&D activities to create potentially profitable new products

·       Responsible for R&D Projects assigned and managing their progress to meet the targeted deadline

·       Formulation of recipes

·       Evaluate raw materials

·       Conduct shelf life stability study

·       Prepare reports and relevant documents as requested and compliance to ISO standard

·       Involved in product scale up and assist in product technology transfer

·       Assist in Artwork Checking

·       Lab maintenance and calibration of equipments

·       Provide technical support for product troubleshooting

·       Provide technical support to relevant sales, customers and other related departments

Qualifications:

-      Diploma / Bachelor in Food Technology or other Applied Science

-      Minimum 2 - 3 years of relevant working experience in Food industry, preferably in beverage industry and
involved retort process

-      Knowledge in HACCP, GMP, Halal and other food safety regulations will be an added advantage

-      Independent and able to work with minimal supervision

-      Team player within itiative and good communication skill

-      Pro-active in seeking solutions and problem solving skills

-      Proficient in Microsoft Office (Word, Excel, PowerPoint)

Job Description:

New Product Pricing

• Liaise and coordinate with Product team to provide actuarial support in product development process. It includes:

- advising on product design, developing and maintaining pricing model, ensuring accuracy and robustness in technical pricing

- proposing assumptions used in pricing

- using relevant pricing model to derive premium rates and access profitability, as well as highlighting key risks associated with the product;

• Ensure that the proposed premium rates are adequate and provide sufficient resilience against risks;

• Ensure that the assumptions used in pricing are consistent with internal guidelines /experience and pricing methodology is compliance with both regulatory and internal requirements;

• Comply with internal and regulatory filing requirements in relation to pricing

Product Implementation

• Liaise and coordinate with Product, Operation and IT teams to provide actuarial support to new product implementation, which includes operational set-up, system testing and policy documents review;

• Provide actuarial support in preparing policy illustration of life insurance products and ensuring that they are compliant with industry / regulatory requirement;

Reinsurance

• Participate in treaty review

• Reinsurance policy review

Other product related project

• Handle special quotations and other policy servicing queries.

• Handle and perform Day 2 system UAT

• Any other project/work assigned by the company

Requirements:

• Undergraduate degree from a recognized university, major in Actuarial Science/Math/Statistics or a related discipline
• 1 year+ relevant actuarial experience
• Strong actuarial knowledge, strong analytical and problem-solving skills
• Engaging and open-minded working attitude with emphasis on being a good team player
• Meticulous for detail in risk assessment and profitability analysis
• Proficient in Microsoft Office (Excel, Word, Power Point)
• Proficient in actuarial computing (VBA, SQL, R, Prophet)

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Company Overview

The organisation is a collaborative research and innovation centre that works closely with industry partners to develop and deploy advanced manufacturing solutions. Operating within a strong public‑private partnership model, the centre focuses on driving industrial competitiveness through applied research, technology translation, and workforce capability development.

One of its core research groups specialises in smart virtual systems, leveraging artificial intelligence, optimisation techniques, and advanced modelling to enable intelligent, data‑driven decision‑making across modern manufacturing environments.

Role Overview

This role is suited for a motivated Scientist or Senior Scientist to lead and deliver research in modelling and optimisation for complex, enterprise‑level multi‑resource planning problems. The position offers the opportunity to push the boundaries of operations research while translating academic advances into practical, industry‑ready solutions across a diverse set of sectors.

The successful individual will bring strong technical expertise, the ability to lead research activities and project delivery teams, and excellent communication skills to engage both technical and business stakeholders. This role spans research leadership, project execution, and external collaboration, with a strong emphasis on real‑world impact.

Key Responsibilities

• Lead research and development of advanced optimisation algorithms addressing multi‑resource planning challenges such as production scheduling, capacity planning, and inventory optimisation.
• Collaborate closely with engineering teams to translate research outputs into deployable, industry‑ready systems.
• Define scientific research directions and develop innovative project proposals aligned with industry requirements.
• Drive competitive research funding applications and participate in collaborations with academic and industry partners.
• Publish research outcomes in leading international journals and conferences.
• Mentor junior researchers and contribute to long‑term research and capability roadmaps in enterprise optimisation.

Requirements

• PhD in Artificial Intelligence, Computer Science, Operations Research, or a related discipline, with a strong focus on optimisation, machine learning, or data science.
• Solid expertise in modelling and optimisation for planning and scheduling problems.
• Minimum of 3 years’ experience in research leadership and research project management.
• Proven capability in programming and algorithm development for optimisation and machine learning (e.g. Python, C#, .NET).
• Strong publication record in high‑quality international journals and conferences.
• In‑depth understanding of production planning, scheduling, and inventory optimisation domains.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly.
• Demonstrated experience applying optimisation techniques to real‑world, multi‑resource industry problems (industry project experience is advantageous).

Critical Tasks and Expected Contributions/Results:

• To support APAC valuation tasks for Australia and Singapore as follows:

• Assist in internal US GAAP reporting, local statutory reporting (e.g. ALCO and ORSA), as well as annual reserve and expense study

  Assist in setting reserves for financial close, conduct claims and loss ratio detailed movement analysis and understanding of underlying key drivers

  Data preparation and assist in the development and maintenance of claims/actuarial database and analytic dashboards

  Provide support in optimizing and streamlining reserving processes. This includes proposing and implementing improvements while maintaining robust controls and proper documentation

  Participate in actuarial reserving projects such as IFRS17 and collaborate with other business functions in ad-hoc projects to implement key strategic initiatives

  Any other ad-hoc tasks as assigned

Key Challenges/Anticipated Changes in Environment:

• Able to juggle priorities and work under pressure to meet tight deadlines
• Have strong financial acumen and professional integrity. Able to balance and apply actuarial principles in a commercial setting

Developmental Value of Position:

• Develop the ability to work independently while taking ownership to contribute actively to a high-performing team environment
• Cultivate a strong growth mindset to have a deep hunger and willingness to experiment, explore and broaden actuarial expertise
• Strengthen communication and interpersonal skills to productively interact with cross-functional colleagues.

Experience/Knowledge, Education and Other Requirements:

• Bachelor’s degree in Actuarial Science or related field of study
• Associate level or candidates actively pursuing actuarial qualifications from the Society of Actuaries, Institute and Faculty of Actuaries, or comparable actuarial bodies
• 1-3 years of relevant actuarial experience. Strong fresh graduates are welcome.
• Good knowledge and experience of valuation and reporting process
• Good understanding in health insurance, health claim process, healthcare systems, IFRS17 is a plus
• Good knowledge and strong interest in programming (e.g. Alteryx, AWS, ResQ, SQL and Tableau). Proficient in Microsoft (Excel, Access, Powerpoint etc.)
• Strong communication and presentation skills

Personal Competencies Required:

• Have good understanding of the Actuarial valuation function and operating models
• Strong analytical and numerical skills, applied to insurance and finance data domains
• Ability to apply technical knowledge and skills in automating and streamlining work processes
• Fast learner and detail oriented. Be able to complete tasks assigned accurately and in a timely manner. Be able to identify and highlight critical issues to be discussed throughout the whole process

We represent a leading Taiwanese multinational, specializing in optoelectronic components and key electronic modules. Their R&D team in Singapore is dedicated to drive innovation in photonics, energy-efficient solutions, and smart technologies. As part of its expansion, our client is seeking talented professional to join them in an exciting new role.

Senior/Principal R&D Digital IC Design Engineer

Role overview:

·     Working on ASIC digital design, including RTL coding based on Verilog, simulation, RTL and gate-level verification, code coverage, test bench development, logic synthesis and design documentation.

Key Requirements:

·     Master/Degree in Electrical Engineering with 3years of ASIC design experience preferred. Candidates with more years of experience will be considered for senior roles.

·     Familiar with ASIC design flow, Cadence digital implementation & verification tools

·     Experience in RTL coding based on Verilog. Familiar with the digital simulation debugging environment

·     Familiar with UNIX/Linux environment and scripting

·     A team player with good communication skills

·     Able to work independently, flexible, and creative

·     Strong analytical and problem solving