Total 10,181 job vacancies in Singapore

Are you passionate about laboratory operations and scientific processes? Join a dynamic healthcare and life sciences environment where you can contribute to accurate testing, sample processing, and meaningful laboratory activities.

Responsibilities:

• Perform laboratory tests and support pre- and post-analytical processes to ensure accurate and reliable results
• Prepare, label, handle, and process specimens and samples according to established procedures
• Operate and maintain laboratory equipment such as centrifuges, pipettes, pH meters, and other analytical instruments
• Record, document, and manage test results and laboratory data accurately
• Follow laboratory protocols, safety guidelines, and quality standards
• Maintain a clean, organised, and well-stocked laboratory workspace
• Support daily laboratory operations and administrative tasks where required
• Rotate across various laboratory departments, including Microbiology, Hematology, Blood Banking, Immunology, Clinical Chemistry, Molecular Biology, and Cytotechnology

Requirements:

• Minimum Diploma in Clinical Laboratory Technology, Biotechnology, Biomedical Science, or related disciplines
• Strong attention to detail with good numerical and data handling skills
• Good communication and interpersonal skills
• Proficient in Microsoft Office applications
• Able to work independently while following established procedure

Interested candidates are welcome to send your updated resume to healthcaretemps@recruitexpress.com.sg
(Attn: Lab Assistant)

Thank You.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

Job Description:

• Collaborate with the Project Leader to execute the MOE-TIF project on AI-driven optimization of aeroponic systems.
• Manage and operate aeroponic cultivation systems for leafy vegetables and high-value fruiting crops.
• Design and conduct experiments to investigate plant physiological responses under different spray regimes and nutrient formulations.
• Monitor plant growth parameters, nutrient uptake efficiency, and environmental conditions to support AI model training.
• Plan and execute experiments, prepare progress reports, and provide regular updates on project milestone.
• Assist in system installation, maintenance, troubleshooting, and modification of aeroponic equipment.
• Document experimental data, analyse results, and contribute to project reports and publication.
• Coordinate with industrial collaborators and support pilot testing at partner farm sites.
• Manage procurement processes, including liaising with vendors, sourcing materials, equipment, and testing supplies, and raising purchase requests.
• Document and track project issues, expenses, budget, action logs, and equipment maintenance.
• Perform any other related duties as assigned by the Project Leader.

Job Requirement:

• Relevant qualification in Agricultural Science, Food Science, Horticulture, Plant Science, Agricultural Engineering, Biotechnology, or related disciplines.
• Hands-on experience in urban agriculture cultivation, plant nutrition management, and controlled environment agriculture systems.
• Experience in operating cultivation equipment and designing controlled experiments.
• Ability to work effectively in a team and follow project timelines and operational arrangements.
• Proven ability to plan, organize, and manage multiple tasks with a strong sense of responsibility to meet project milestones. 
• Candidates from related industries who are interested in transitioning into aeroponic and smart urban agriculture are encouraged to apply.
• Successful candidates will be employed on a contract basis for two year duration of the project.

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/33375-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

The Assistant Manager / Senior Assistant Manager is responsible for overseeing and coordinating the end-to-end administration, governance, and operational management of research grants and funded programmes across the grant lifecycle effectively.

This role serves as a key liaison between Principal Investigators (PIs), research teams, internal and external stakeholders to oversee pre-award and post-award grant activities, monitor grant utilization and reporting requirements, manpower management and ensure timely resolution of operational and compliance matters, for smooth coordination, accountability, and delivery of funded research initiatives.

A strong foundation in scientific concepts is preferred, as the role requires reviewing research proposals and related documents to support administrative processes effectively. The incumbent may be assigned additional responsibilities by the supervisor where necessary.

Key Duties & Responsibilities

1. Pre-Award Grant Administration

• Assist in the preparation, submission, and tracking of research grant applications.
• Ensure compliance with funding requirements, institutional policies, and deadlines.
• Liaise with PIs and research teams to gather necessary documentation.
• Maintain accurate records of grant-related documents and communications.
• Review scientific proposals to ensure administrative completeness and compliance

2. Post-Award Grant Management and Compliance

• Manage post-award grant administration, including grant activation, budget tracking, and project monitoring.
• Monitor grant utilization, milestones, and project timelines.
• Track grant lifecycle for clear visibility.
• Manage grant variations and extensions where required.
• Ensure proper documentation and maintenance of grant records.
• Identify operational risks and escalate issues where necessary.

3. Financial Management and Budget Oversight

• Oversee and manage financial aspects of grants, including budgeting, expenditure monitoring and forecasting
• Verify claim statements
• Support research-related procurement and financial tracking where necessary

4. Stakeholder Management and Support

• Serve as key point of contact for internal and external stakeholders on grant-related matters.
• Ensure clear and accurate documentation of research activities and administrative processes.
• Support audit and compliance checks as required.

5. Manpower Management and Administrative Coordination

• Coordinate manpower-related processes for grant-funded projects including recruitment, onboarding, contract renewals, and staff appointments.
• Monitor and forecast staffing timelines, manpower allocations and funding support in accordance with approved budgets and institutional policies.
• Maintain up-to-date manpower records for staff and clinical fellows

6. Contracts and Agreements Management

• Draft, review and negotiate research contracts, collaboration agreements, material transfer agreements etc., while liasing with legal teams.
• Monitor compliance with contractual obligations and funding terms.
• Contract lifecycle management.
• Study and understand relevant IRB protocols to advise research teams about study feasibility.

7. Research Infrastructure/Programme Development and Strategic Support

• Manage and contribute to the planning and implementation of new research initiatives, platforms, of foundational capabilities.
• Support the establishment, implementation, and operationalization of research and grant management infrastructure to support research programmes and strategic initiatives.
• Coordinate processes, workflows and governance frameworks required to support the research programme operations.
• Support onboarding and coordination of research programme resources, stakeholders and operational requirements.

Key Requirements:

• Bachelor’s Degree in Biomedical Sciences, Life Science, or a related field.
• Strong written and verbal communication skills, including preparation of grant documentation reports and correspondence.
• Experience in grant administration, research management or research operations.
• Demonstrated experience in budget preparation, financial tracking for research grants.
• Experience in contract management of research agreements (i.e. work plan creation/amendment, facilitating contract discussions).
• Good critical thinking and problem-solving skills.
• Possess an understanding of medical and clinical research terminology.
• Candidate should preferably have background in cancer biology and/or genomics and data science.
• Self-motivated and team player.
• Ability to complete tasks independently with minimal supervision.
• Ability to work on multiple projects involving multiple stakeholders concurrently.
• Adaptability and able to navigate within an evolving research and regulatory landscape.
• Good organizational and interpersonal skills.
• Attention to detail with strong documentation and record-keeping skills.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/33376-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

Job Responsibilities / 工作职责

Assist in planning and executing marketing activities to promote company products and services.
协助策划及执行营销活动，以推广公司产品及服务。

Conduct market research and collect customer feedback to understand market trends and customer needs.
进行市场调研并收集客户反馈，以了解市场趋势及客户需求。

Assist in developing marketing materials, including brochures, flyers, social media content, and promotional messages.
协助制作营销资料，包括宣传册、传单、社交媒体内容及推广文案。

Manage and update company social media platforms and assist in online marketing campaigns.
管理及更新公司社交媒体平台，并协助线上营销推广活动。

Communicate with customers, business partners, and suppliers to support marketing and promotional activities.
与客户、商业伙伴及供应商沟通，支持营销及推广活动。

Assist in organizing promotional events, roadshows, exhibitions, and other marketing activities when required.
根据需要协助组织促销活动、路演、展会及其他营销活动。

Monitor the effectiveness of marketing campaigns and prepare basic reports for management review.
跟进营销活动效果，并准备基本报告供管理层参考。

Support sales and customer service teams by providing marketing information and promotional support.
为销售及客服团队提供营销资料及推广支持。

Maintain customer database and assist in follow-up with potential customers.
维护客户资料库，并协助跟进潜在客户。

Perform other marketing-related duties assigned by the company or supervisor.
完成公司或主管安排的其他营销相关工作。

Requirements / 职位要求

Relevant experience in marketing, sales support, digital marketing, customer service, or business development is preferred.
有市场营销、销售支持、网络营销、客户服务或业务开发相关经验者优先。

Basic knowledge of marketing concepts, social media platforms, and promotional activities.
具备基本营销概念、社交媒体平台及推广活动相关知识。

Good communication and interpersonal skills.
具备良好的沟通能力及人际交往能力。

Able to work in a fast-paced environment and handle multiple tasks.
能够适应快节奏工作环境，并处理多项工作任务。

Creative, responsible, hardworking, and willing to learn.
有创意、工作认真负责、吃苦耐劳，并愿意学习。

Able to work independently and as part of a team.
能够独立工作，也能与团队良好配合。

Working Conditions / 工作条件

Working Hours: As per company schedule
工作时间：根据公司排班安排

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Membranes%29%2C-ChBE/33499-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Design and synthesize chiral covalent organic frameworks (COFs);
•    Fabricate chiral COF membranes;
•    Evaluate membranes for chiral separations.

Job Requirements

•    Experience in organic synthesis, especially chiral synthesis;
•    Experience in porous materials and polymers;
•    Experience in membrane science and engineering.

Description

Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency.

To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines.

We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.

Given our rapid growth, we've also launched our Early Talent Program, designed to attract and develop high-potential students through internship experiences. This program aims to build a strong pipeline of future full-time employees who are already aligned with our culture and expectations.

You have strong quantitative analysis skills and you are in search of a challenge in the cryptocurrency environment? Then we have what you're looking for! As a Quant Researcher Intern APAC, you'll have the opportunity to join a team focused on researching, interpreting, and capitalizing on crypto trading markets.

We are looking for someone with a computer science or coding background who would like to develop their skills in the team.

Role and responsibilities

• Provide first-level support to the quant research activities
• Develop and generate post-trade analysis reports
• Assist quant researchers in their day-to-day crypto operations and strategies

Requirements

Background and experience

• University degree or Master, preferably in Quantitative Finance, Computer Science, Engineering, Mathematics, Statistics or related.
• Strong analytical and communication skills
• Knowledge of Python and other coding languages
• Experience with trading or crypto-preferred

Background and experience

• Curious and autonomous
• Highly motivated and results-driven
• Strong maths and analytical skills
• Professional proficiency in English Start Date, starting in July 2026
• What would be the Internship duration ? 6 months (5 days in a week, full time on-site)
• Who is eligible ? Final-year students or recent graduates

Benefits

• Team events and offsites

Recruitment process
Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

• Here's what you can expect if you apply
• Technical Assessment (80')Technical Interview (45')
• Culture Interview with the HR (30')

On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!

We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemistry%29/33482-en_GB/?st=8D2D9F15DFBC531D87718EC2F97CDAB3AA51C90A

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof CHEN Wei on  Interface Engineering for low-dimensional materials based device applications under a project on NRF Investigatorship project:  Interface Engineered Ferroelectric 2D Materials for Artificial Synapses and Neuromorphic Computing”.

The main responsibilities of the position include One postdoc position is available at the Surface and Interface Lab (Prof. CHEN WEI’s group), National University of Singapore. The project focuses on the interface engineering for 2D materials based device and related electrical and optoelectrical characterization for memory and neuromorphic computing application.

The selected candidate will work together with a team comprising experts in MBE growth and STM characterization, device fabrication and related electrical and optoelectrical characterization, and surface reaction mechanism study using home-made interface characterization tools. 

Qualifications

Qualifications / Discipline: PhD in Physics/ Chemistry/ Materials in a research intensive and renowned University or Research Institute. 

Skills: Excellent English writing and communication skill, team management skill, expert in surface and interface science, surface science techniques of low-temperature scanning tunnelling microscopy, q-plus AFM, MBE growth of 2D materials, 2D materials interface engineering, and multi-physics understanding at the integrated device level.

Experience: Extensive research experience and publish at least 3 - 5 first-authored papers on Tier I journals and excellent lab safety management skills and experience.

The NCCS Division of Medical Oncology is looking for 4 Research Coordinators to join the BREXINT study team: Breast Cancer Exercise Intervention, a nationwide randomized study examining the effect of prescribed exercise (versus control) on cancer recurrence and survival in early breast cancer patients, as well as the behavioural tools that help make exercise a habit.

The Research Coordinator facilitates patient recruitment onto the study from all participating public hospitals in Singapore (each Research Coordinator is assigned 1-2 hospitals to cover), manages the patients’ appointment schedules, conducts questionnaires, inputs data onto spreadsheets, presents updates at regular meetings, liaises with other study team members, namely: doctors, nurses, clinic operations, physiotherapists, exercise trainers, exercise physiologists, academic psychologists, health economists, digital app collaborators.

Key Responsibilities

1.Patient Recruitment

Work closely with doctors and nurses from DMO and Breast Surgery to recruit eligible patients for BREXINT

• Identify and recruit patients who are eligible for BREXINT
• Explain BREXINT: objectives, study procedures, visit schedule, use of the digital app and wearable

2.Arrange appointments for patients

• Work closely with Clinic Operations to book appointments
• Convey this information to patients via the digital app or text messaging, phone calls, email
• Assist with patient queries/requests

3.Conduct questionnaires

• For patients who cannot do the questionnaires on the digital app

4.Clinical data management

• Extract and collate patients’ clinical data

5.Administrative and operational work

• Present updates at regular Study Team meetings
• Liaise with digital app collaborator re: data collection, data verification, troubleshooting issues with app functionality, wearables

Main Requirements:

• Degree in Life Sciences or a related health‑science field (or equivalent).
• Prior patient‑facing experience is an advantage but not mandatory.
• Prior lab experience (blood sample processing) is an advantage but not mandatory.
• Proficient in Microsoft Office applications.
• Able to communicate effectively in English; ability to communicate with diverse linguistic groups (e.g. Chinese, Malay, Hokkien, Teochew, Cantonese) is preferred.
• Strong interpersonal and communication skills.
• Motivated, patient‑centric, and able to engage various stakeholders (patients, healthcare professionals, allied health professionals, digital app collaborators).
• Able to work independently with initiative.
• Meticulous with an eye for detail
• Comfortable with basic IT tools and communication applications (e.g. WhatsApp).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28IC-Designer%29/33439-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    high-level exploration and modeling for predictive power management
•    predictive power management from circuits to voltage-aware model optimization and test chip demonstration
•    predictive power management from circuits to voltage and temperature-aware model optimization and test chip demonstration
•    predictive power management runtime adaptation for accurate event detection with test chip demonstration
•    full integration of voltage/temperature-aware circuits, models and runtime adaptation for accurate event detection
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    A PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially)

• Long-term research agenda development and implementation

Requirements:

• Education qualifications: PhD in Manufacturing and/or Mechanical Engineering/AI 

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming, Research approach development etc.

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance and implementation as well as supervision

We regret to inform that only shortlisted candidates will be notified.

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28IC-Designer%29/33441-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    high-level exploration and modeling for predictive power management
•    predictive power management from circuits to voltage-aware model optimization and test chip demonstration
•    predictive power management from circuits to voltage and temperature-aware model optimization and test chip demonstration
•    predictive power management runtime adaptation for accurate event detection with test chip demonstration
•    full integration of voltage/temperature-aware circuits, models and runtime adaptation for accurate event detection
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    A PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities: 

The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. 

Job Requirements:

• Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics.

• Applicants should have deep knowledge in numerical analysis of partial differential equations, and should be competent at implementing complicated numerical algorithms.

Actual appointment grade will depend on candidate’s qualifications and experience.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28IC-Designer%29/33449-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    chip and substrate model iterative fine-tuning (e.g., thermals, parasitics), early raw dataset creation from circuit/system simulations, final raw dataset creation from iterative measurements, prototype circuit design, system assembly and testing
•    data gathering and preparation, AI model architecture evaluation, training/inference implementation and integration with chip architecture
•    end-to-end system modeling, exploration, architectures and system integration
•    analog frontend circuit and sensor modeling, exploration, verification and testing
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a Masters/Bachelor degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

Roles and Responsibilities:

Credit Research sits within Global Markets, helping the group’s clients and internal stakeholders stay one step ahead in credit market developments. As a credit research analyst within OCBC Research, you will support the production of independent, high-quality fundamental credit research for the OCBC Research Credit Research Team, while also contributing to the generation of sector-level insights and thematic reports to support the sales and trading strategies for the group’s clients.

This position is ideally suited for an analytically curious and proactive individual who is developing expertise in credit research and seeks to build a long-term career as a sell-side analyst within a leading financial institution. The successful candidate will combine their analytical skills with solid written and verbal communication abilities to support the delivery of actionable investment views and market commentary that enhance the group’s client offering and internal decision-making processes.

Key Responsibilities:

• Fundamental Credit Research

Conduct fundamental and relative-value analysis on a defined list of corporate and/or financial services credits under the guidance of senior analysts. Monitor current developments in macro-economic and credit markets to assess evolving risk profiles. Maintain credit assessments and financial models for assigned issuers.

• Sector and Thematic Research

Contribute to sector outlooks and comparative analyses periodically and when necessary, by collecting and analysing market data that highlights key credit drivers, market trends, and relative-value opportunities. Monitoring structural, regulatory, or macroeconomic trends impacting credit markets to support the generation of thematic research pieces. Assist in the effective distribution of research through charts, data, and comparative analyses to support published reports, client calls, and presentations.

• External and Internal Client Engagement, Market Monitoring

Support client marketing initiatives, issuer and investor meetings, and public conferences that represent the group’s credit research capabilities. Contribute to relevant media outreach opportunities that build OCBC’s brand awareness across multiple platforms. Monitor relevant news flow, spreads, and primary/secondary market activity to identify material changes in credit sentiment and provide timely updates and summaries to internal stakeholders (sales, trading, strategy, and risk teams). Contribute to internal research briefings and strategy discussions as required.

• Research Production and Client Support

Ensure research outputs meet the group’s quality, compliance, and branding requirements. Address and resolve any compliance or distribution issues for the Credit Research team. Support client requests and queries in coordination with senior analysts and sales teams. Ensuring compliance with internal policies (in particular trading and conflict of interest) and MAS regulations as is relevant to research analysts.

Reporting to:

Head of Credit Research

Requirements

Relevant experience in credit research, fixed income, investment banking, or a related analytical role. Solid foundation in financial statement analysis, creation and analysis of credit metrics, and relative valuation methodologies. Familiarity with bond markets, capital structures, and rating agency frameworks. Proficiency in Bloomberg, Word, Excel, and PowerPoint; experience in data analytics or automation tools (e.g. Python, VBA) is a plus. Bachelor’s degree in Finance, Accounting, Economics, or related field; CFA or progress toward CFA designation preferred. Strong written and verbal communication skills. Familiarity and interest in sustainability topics is a plus.

Key Attributes

Analytical curiosity and a commitment to and interest in continuous learning. A self-starter and able to work independently on assigned tasks with a strong sense of ownership and accountability for assigned work. Equally important, however, is the ability to collaborate effectively with colleagues in a team environment and proactively contribute to team tasks. Ability to manage multiple priorities in a fast-paced environment. Willingness to build integrity, professionalism, and sound judgement in all aspects of research output and an excellent attention to detail and consistency in research output.

Who we are
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation.
But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here.

What we offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Electronics-Engineer%29/33426-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow

• To design and advance the research activities of the centre in bioimaging projects.

• Perform research in experimental optics, bioimaging, spectroscopy, metrology and develop novel approaches for optical and nonlinear optical experiments and instrumentation. The position offers the opportunity to do research work in collaboration with external partners.

Key Responsibilities:

The RF will support focused research activities at COLE. He/ She will assist the Principal Investigators (PIs) in the successful execution of the projects and will also be encouraged to introduce new ideas and projects. The roles of this position include:

• Design and conduct bioimaging experiments using optical, fluorescence, confocal, multiphoton, photoacoustic, or other advanced microscopy and imaging modalities

• Prepare and handle biological samples, including cells, tissues, organoids, or in vivo models, in accordance with biosafety and ethical protocols.

• Conduct and coordinate research within NTU and collaborators in line with its research strategy and under the supervision of the PIs and Collaborators.

• Manage the research project in a team-based, cross-functional research environment, which includes mentoring students and working collaborators, technical and other support staff.

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the Centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

• Assist in drafting project proposals.

• Attend meetings and participate (where necessary) in other committees and working groups.

• Ensure compliance with health and safety in all aspects of the research work.

• The research staff is expected to work with the PI and other team members for doing R&D and take key role for the development of the systems for bioimaging and metrology

• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Requirements:

• PhD in Optical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics, bioimaging, spectroscopy and instrumentation background

• Previous experience in optics, bioimaging, optical measurement technologies, spectroscopy, Raman spectroscopy and metrology are desirable

• Strong background in biological imaging principles and optical instrumentation

• Hands‑on experience with one or more bioimaging techniques (e.g. fluorescence microscopy, confocal microscopy, live‑cell imaging, photoacoustics)

• Expertise in handling and maintenance of high-power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable

• Expertise in advanced data analysis techniques (Machine learning and Deep learning) would be an added advantage

• Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)

• Proven publication track record would be an advantage

We regret to inform that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Key Job purpose is to support a research project titled: Ultrasonic Diagnosis for cell SOH grading.

Key Responsibilities:

• Design and carry out ultrasonic experiments and develop signal processing techniques

• Simulate ultrasonic wave propagation in complex materials

• Draft and submit technical progress reports at regular intervals

Job Requirements:

• Master degree in Mechanical/Electrical/Civil/Computer Engineering or equivalent

• Good knowledge of ultrasonic NDT/SHM

• Good numerical simulation skills

• Good programming skills (Matlab, C++ or Python)

• Excellent communication and written skills

We regret to inform that only shortlisted candidates will be notified.

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Electronics-Engineer%29/27085-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg