Total 8 research associate job vacancies in Science / R&D / Research category in Hong Kong

Job Overview

Joining the Fuller Impact team, you will be part of the pioneer team and play a key role in increasing the access to sustainability and ESG regionally. You will help design and implement sustainability and ESG strategies while contributing to Fuller Impact’s growth and long-term success.

We are in search of a passionate Sustainability Research Intern with a proactive and growth mindset approach.

Key Responsibilities

1. Sustainability & ESG Research

• Conduct research on sustainability trends, global frameworks (e.g., GRI, TCFD, ISSB), and relevant regulations to support Fuller Impact’s programmes and strategic initiatives.

2. Competitor & Market Analysis

• Benchmark sustainability tools, platforms, and services to identify gaps, opportunities, and innovation pathways aligned with Fuller Impact’s mission.

3. User & Stakeholder Research Support

• Assist in developing and analysing surveys, interviews, and user feedback for programme design and strategic decision-making.

4. Data & Framework Mapping

• Support the organisation and alignment of ESG indicators, metrics, and categories with recognised sustainability standards.

5. Content & Knowledge Development

• Contribute to the creation of knowledge assets such as glossaries, toolkits, guidance documents, training materials, and communication content.

6. Policy & Market Monitoring

• Track sustainability-related policy updates and market developments across regions, summarising insights for internal use.

7. Documentation & Presentation Support

• Assist in preparing internal briefs, research summaries, and presentation materials for stakeholders and project partners.

8. Stakeholder Engagement

• Support relationship-building with internal and external stakeholders to ensure effective collaboration and impactful outcomes.

9. Special Projects

• Support ad hoc initiatives across Fuller Academy and Fuller Solutions, including research, content development, and strategic innovation.

Requirements

● A final year student or recent graduate with a passion for sustainability and research.

● Able to commit to a minimum of 3 months.

● Business-level written and verbal communication skills, strong analytical and creative problem solving abilities.

● Excellent interpersonal skills, organizational, and operational skills.

● Strong attention to detail and ability to work independently.

Perks & Benefits

• Employee equity
• Nearby public transport
• Flexible working hours
• Free snacks / Happy hours
• Personal leave
• Open culture
• Personal development opportunities
• Remote work flexibility

Responsibilities

• Develop and implement electrical engineering solutions in collaboration with a cross‑functional project team to meet project objectives and safety standards 
• Define new design requirements, functional specifications and test documentation
• Design electronic circuits and/or systems at the test‑concept or operational level 
• Perform root cause analysis at the system or PCB level under broad supervision; evaluate test results and prepare detailed reports and recommended corrective actions
• Conduct qualification activities for PCB designs and electronic components
• Support the setup, configuration, and operation of test environments in accordance with documented test plans
• Apply a strong understanding of downhole tool working principles to support tool development, testing, troubleshooting, and performance evaluation
• Ensure all documentation complies with Halliburton’s standard processes, quality systems, and reporting requirements
• Collaborate effectively within a team environment, demonstrating clear and professional communication to support innovative engineering solutions

Requirements

• Bachelor’s Degree or Master's in Electrical or Electronics Engineering
• Solid foundational knowledge of electrical and electronic circuit design, including the ability to interpret schematics and use standard laboratory equipment (oscilloscopes, digital multimeters, function generators, power supplies, etc.)
• Hands-on experience with fundamental electronic building blocks (e.g., DC-DC converters, operational amplifiers, ADCs/DACs, microcontrollers) is highly advantageous
• Knowledge of C/C++, VHDL/Verilog, MATLAB and/or LabView would be a plus
• Strong personal, professional, teamwork, and communication skills

Candidates with qualifications exceeding the minimum requirements may be considered for higher‑level roles based on (1) their experience, (2) additional job responsibilities, and/or (3) business needs.

Work Location: 315 Jalan Ahmad Ibrahim Singapore 639940 (company transport provided)
Work Schedule: Monday to Friday, 7:30 AM to 4:30 PM

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Description :

• Under general supervision, applies functional specifications and uses engineering tools to design hardware for product changes and new development.
• Independently processes data, writes engineering reports, and conducts diagnosis of routine hardware malfunctions.
• Contributes in reliability analysis such as risk assessments and Failure Mode Effects Analysis by compiling and examining data.
• Identifies the testing requirement at a system level with the emphasis on complying with test standards and Halliburton's Health, Safety, and Environment procedures.
• Contributes to Halliburton's Intellectual Property portfolio by preparing Invention Disclosures and recognizing ideas that have Intellectual Property potential without disclosing confidential information.
• Coordinates with project leads to produce project deliverables by assessing input requirements and applying functional specifications.
• Develops relationships through excellent communication skills and acts as a key resource to provide innovative solutions.
• May participate in professional societies in area of specialization.

Requirement:

Requires completion of a bachelor's degree in Mechanical Engineering or similar discipline; master's degree preferred.

Requires two years of related experience (requirement may be waived with master's degree).

Fast events, unpredictable situations, high energy, and real targets — if this excites you, you belong here!

Specialist Teaching Associate, English / Science (5-day work week)

Job Highlights

• Competitive pay
• Career progression to flexible work schemes to suit your various work life stages.
• Strong welfare and staff benefits + annual performance bonus
• 5-day work week (inclusive of Saturdays and Sundays)
• Island wide locations

Specialist Teaching Associate (Primary / Secondary English Teacher)

In this role, you will

• Teach an average of 10 to 13 lessons per week including covering classes for your peers.
• Deliver lessons in accordance with TLL’s teaching and curriculum standards to ensure a high quality of student learning.
• Monitor student progress through holistic assessments of student behaviour and development.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students’ performance and progress.
• Create and maintain a safe and conducive learning environment for students.
• Participate in marketing events and open houses as ambassadors of the company, as required
• Your job might also entail other ad-hoc duties such as work on educational projects or events.

We value our teachers and their hard work!

• We offer highly attractive remuneration, including annual performance bonus and bonus for teaching 2 weekend days.
• We are committed to providing strong welfare benefits, including medical and dental coverage.
• We care for your well-being – there are company-wide engagement initiatives all year-round and attractive corporate perks.
• We offer career progression and growth opportunities through our various leadership schemes.

We support you in your teaching!

• We want our teachers to shine. You can wow your students with our detailed student worksheets, which come along with teacher notes and a teaching deck, all designed inhouse!
• We care for our teachers’ professional development. From the time that you join, we offer guidance, training, mentoring and training courses that help you learn and grow as professionally.
• We provide a great classroom environment with useful and relevant technologies to facilitate your teaching.

Snapshots of our ideal candidate

• Passion for teaching and nurturing young minds!
• Positive, resilient self-starter with strong work ethic.
• Excellent interpersonal communication skills.
• Graduated with a degree in any discipline, or a Diploma in Early Childhood Education. Relevant experience is not required but will be an added advantage.
• Willing to travel between the various TLL centres for classes, as and when required.
• Work schedule includes 3 weekdays and 2 weekends (Saturday and Sunday).

Why Teach with Us?

Our teachers are the heart and soul of our business. We appreciate how our teachers inspire and nurture our students, helping them surpass their personal best.

Are you ready to join us and groom the future leaders of tomorrow?

Start your journey with us today. Shortlisted candidates will be contacted within 2 weeks from the date of application.

The Bioprocessing Technology Institute (BTI), A*STAR, is seeking a highly motivated PhD-level computer scientist or AI systems researcher to support the development of multi-agent AI frameworks for biomanufacturing.

This role focuses on the design, integration, and orchestration of AI agents that interact with heterogeneous scientific models (e.g. mechanistic bioprocess models, data-driven predictors) to enable intelligent decision support for bioprocess development and manufacturing. You will work closely with biologists, bioinformaticians, and process modellers in a multidisciplinary research environment.

Key Responsibilities

• Design and implement multi-agent AI architectures for bioprocess modelling and optimisation
• Integrate diverse computational models (mechanistic, statistical, ML-based) into a coherent decision framework
• Develop agent communication, coordination, and decision arbitration strategies
• Build scalable and maintainable Python-based scientific software systems
• Collaborate with domain scientists to translate bioprocess constraints into computable logic
• Support validation of AI-assisted recommendations using experimental and historical process data
• Document system design, workflows, and assumptions for reproducibility and knowledge transfer

Qualifications

• PhD in Computer Science, Artificial Intelligence, Software Engineering, Applied Mathematics, or a closely related field
• Strong programming skills
• Solid foundation in software architecture, systems design, or distributed / agent-based systems
• Experience integrating multiple models, services, or workflows into a unified system
• Ability to work effectively in interdisciplinary scientific teams

Preferred/Advantageous Skills

• Experience with multi-agent systems, agent-based modelling, or workflow orchestration
• Familiarity with machine learning pipelines and model lifecycle management
• Exposure to scientific computing, simulation, optimisation, or digital twin concepts
• Experience working with noisy, incomplete, or experimental data
• Interest in biomanufacturing, biotechnology, or industrial bioprocesses (prior domain experience is not mandatory)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Bioprocessing Technology Institute (BTI), A*STAR, is seeking a highly motivated PhD-level computer scientist or AI systems researcher to support the development of multi-agent AI frameworks for biomanufacturing.

This role focuses on the design, integration, and orchestration of AI agents that interact with heterogeneous scientific models (e.g. mechanistic bioprocess models, data-driven predictors) to enable intelligent decision support for bioprocess development and manufacturing. You will work closely with biologists, bioinformaticians, and process modellers in a multidisciplinary research environment.

Key Responsibilities

• Design and implement multi-agent AI architectures for bioprocess modelling and optimisation
• Integrate diverse computational models (mechanistic, statistical, ML-based) into a coherent decision framework
• Develop agent communication, coordination, and decision arbitration strategies
• Build scalable and maintainable Python-based scientific software systems
• Collaborate with domain scientists to translate bioprocess constraints into computable logic
• Support validation of AI-assisted recommendations using experimental and historical process data
• Document system design, workflows, and assumptions for reproducibility and knowledge transfer

Qualifications

• PhD in Computer Science, Artificial Intelligence, Software Engineering, Applied Mathematics, or a closely related field
• Strong programming skills
• Solid foundation in software architecture, systems design, or distributed / agent-based systems
• Experience integrating multiple models, services, or workflows into a unified system
• Ability to work effectively in interdisciplinary scientific teams

Preferred/Advantageous Skills

• Experience with multi-agent systems, agent-based modelling, or workflow orchestration
• Familiarity with machine learning pipelines and model lifecycle management
• Exposure to scientific computing, simulation, optimisation, or digital twin concepts
• Experience working with noisy, incomplete, or experimental data
• Interest in biomanufacturing, biotechnology, or industrial bioprocesses (prior domain experience is not mandatory)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

• Gain high‑impact actuarial experience within a global financial institution
• Opportunity to deepen your technical skillset in Prophet, SQL, Python

About Our Client

The employer operates within the financial services industry and is a well-established organisation in the insurance sector. The organisation emphasises high‑quality governance, strong analytical processes, and cross‑functional collaboration to support its life insurance and risk management business.

Job Description

• Support actuarial analysis and modelling to inform business strategy.
• Assist in the preparation and review of financial and risk reports for internal and regulatory purposes.
• Contribute to the development and maintenance of actuarial models and tools.
• Collaborate with cross-functional teams to provide actuarial insights and recommendations.
• Support the pricing and valuation of insurance products.
• Ensure compliance with relevant regulations and internal policies in actuarial practices.
• Perform data analysis and provide detailed insights to stakeholders.
• Assist in ad-hoc projects and initiatives within the insurance department as required.

The Successful Applicant

A successful Actuarial Associate should have:

• A degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in actuarial tools and software.
• A good understanding of insurance products and financial services regulations.
• Excellent attention to detail and organisational skills.
• The ability to work effectively in a team environment.

What's on Offer

• Exposure to high‑value actuarial work within a major financial institution
• Opportunity to build hands‑on experience across Par/UL, capital modelling, experience studies, and regulatory reporting
• A collaborative, supportive work environment with experienced actuarial professionals
• Development of highly marketable technical skills across Prophet, analytics, modelling, and capital measurement

If this opportunity as an Actuarial Associate in Singapore within the financial services industry aligns with your career aspirations, we encourage you to apply today.

Contact

Carine Cui (Lic No: R23117732 / EA no: 18S9099)

Quote job ref

JN-032026-6965772

Phone number

+65 6416 9806