Total 4,490 research associate job vacancies

About Guardian Health & Beauty

Established in 1972, Guardian Health & Beauty is Singapore’s Number 1 Health and Beauty retailer. With more than 126 stores nationwide, it retails a comprehensive range of health & beauty products. Guardian has evolved from its pharmacy roots to a holistic one-stop solution for customers’ health and beauty needs. It continues to expand its products and service range to meet the redefinition of beauty by today’s customers – where health meets beauty.

With a strong health heritage, it has the largest network of award-winning pharmacists and a wide selection of health products. Professional services such as patient-care counselling, dispensary services, beauty and personal care solutions are offered at stores as a convenient one-stop for heath and beauty. Guardian also operates its online store with more than 9,000 products available and offers the “Click & Collect” services.

For more information, please visit www.guardian.com.sg. Follow Guardian Health & Beauty on Facebook, Instagram, Telegram, Youtube and TikTok.

Guardian Health & Beauty is a Progressive Wage (PW) mark accredited company.

The Role

• Promote and provide excellent customer service.
• Maximize sales through professional handling of promotional sales transactions.
• Assist in the recruitment of team members and manpower planning.
• Maintain and monitor optimum and accurate inventory levels.
• Supervise and ensure effective and efficient day-to-day work SOP of the store.
• Any other ad-hoc duties as assigned.

About You

• Passionate in the retail industry
• Prior retail and store experience is an added advantage
• Keen business acumen and results-driven
• Adaptable in a fast-paced environment

Benefits
•  Yearly Bonus
•  Team Member Discount
•  Subsidized Medical and Dental Benefits
•  Training Opportunities
•  Career Advancement

Follow us on Telegram/Facebook/Instagram: DFI Retail Group SG Careers!

Will be part of Operation & Support Team to support Project implementation and Maintenance.

The key responsibilities are as below:

Job Description:

Project:

• Support Project Team in Project implementation
• System setup, configuration and testing
• Perform any other duties as assigned.

Maintenance:

• Perform CUAS Preventive and Corrective maintenance works at restricted Areas.
• Provide support services in operation exercise.
• Perform functional check and/or repair on testers and unit under Test.
• Perform any other duties as assigned.
• Provide technical support to resolve hardware and software related problems on network and cyber systems.

Requirements:

• NITEC / Higher NITEC / Diploma in Mechanical, Electronics or Computer Engineering
• Fresh graduate are welcome to apply
• Experience in Electronics, PCB-related, electrical & networking would be advantageous.
• Some knowledge in cyber and network systems is a plus.
• Able to work over the weekend and standby for fault call if required
• Able to interpret schematics, technical manual and drawings for maintenance works.
• Ability to use analytical skills and a "hands-on" person.
• Good interpersonal skills, proactive and work well with others.
• Possess class 3 driving license will be advantageous.

Interested candidates can click on 'Apply' or send updated resume to joreen.pak@trd.sg or victor.low@trd.sg

We are regret that only shortlisted candidates will be notify.

If you’re constantly seeking for expansion and love working with fun and dynamic team to drive and grow within the company, we would love to hear from you!

*NO EXPERIENCE REQUIRED*

If you are!

⭐️ TEAM PLAYER & OUTGOING

⭐️ Comfortable with face to face sale

⭐️ Enjoy working in fun & fast paced environment

We provide

Join us for a Career that's BOTH REWARDING & ADVENTUROUS!

We’re looking for, ambitious, energetic individuals, who want more than just a job—we offer growth, great earnings, and unforgettable experiences! If you’re ready to level up your skills, income, and career, this is your sign!

What You’ll Do:

• Engage in dynamic face-to-face interactions
• Coach & inspire new trainees
• Refine your skills

Perks You’ll Love:

• Exciting overseas exposure
• Accelerated leadership pathways
• Learn from industry experts

Required:

• Team players with a winning attitude
• Self-motivated go-getters
• Those eager to earn, learn, and achieve more!

Apply NOW—spaces are limited!

Why settle for the corporate climb?

Ready to break free from the 9-to-5 grind?

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-Security-%28School-of-Computing%29/33419-en_GB/?st=4BE945D60CCC38A4FBFF14E6E239368304BA2DD3

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow 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 in 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.

The postdoctoral researcher will work on processor security and hardware testing. The role focuses on building new ways to find design bugs in processors before those processors are manufactured or deployed. This includes fuzzing, which means automatically generating many test programs to stress a processor design and expose incorrect behavior. The work will also study transient execution attacks, where a processor may briefly compute on secret data and leave traces that an attacker can observe.

The candidate will design new testing methods, build research prototypes, evaluate them on open processor designs, and publish the results in leading security and systems venues. The candidate will also help mentor PhD students, contribute to research planning, and support collaborations with academic and industry partners.

Qualifications

• The candidate should have a PhD in computer security, computer architecture, systems, or a closely related area.
• Strong experience with processor testing, hardware security, or fuzzing is expected.
• The candidate should be comfortable reading processor designs and working with simulation tools.
• Programming ability is important, especially for building research systems that can run at scale.
• The role also requires the ability to explain technical work clearly to people with different backgrounds. 
• The candidate should be able to turn a research idea into a working prototype, compare it fairly with prior methods, and write papers that make the contribution easy to understand.
• A strong record of top-tier publications is necessary.

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-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

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%2C-AI-%28School-of-Computing%29/33416-en_GB/?st=6AA3089AAA04B6DCA01FC3ECA2343BEB943EC99C

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow 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 in 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.

We are seeking highly motivated and skilled researchers to drive innovation in trustworthy AI. The ideal candidate should possess expertise in one or more of the following research areas:

•    Model Robustness and Safety: fairness, value alignment, adversarial robustness, model jailbreaking, etc.
•    Cognitive capabilities: reasoning model, mitigating model hallucination, symbolic knowledge machine learning, etc.
•    Multilingual and multicultural foundation models

The successful candidate will work on advanced techniques across various data modalities, including textual, visual, and auditory data.

You will be expected to:
•    Collaborate with a diverse team of computer scientists and domain experts to contribute to an interdisciplinary research programme.
•    Conduct rigorous research and develop innovative solutions to complex problems.
•    Publish and present research findings in academic journals and conferences.
•    Develop and present demos for your research.
•    Assist in the development and testing of algorithms or behavioral models.
•    Participate in regular team meetings and contribute to collaborative efforts.

Key Responsibilities:
•    Investigated the ethical and technical boundaries of AI safety, providing critical insights for new research directions.
•    Develop state-of-the-art methods for improving the trustworthiness of multimodal models.
•    Collaborate with a multidisciplinary team of researchers, data scientists, and engineers.
•    Publish research findings in top-tier conferences and journals.

Qualifications

•    A PhD degree in Computer Science/Computer Engineering.
•    The candidate’s track record in publication and strengths as an independent researcher are valued.
•    Strong experience in machine learning and deep learning.
•    Excellent programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
•    Proficiency in handling multimodal data, including text, images, audio, and video.
•    Good written and verbal communication skills in English
•    Prior publications in major machine learning (NeurIPS/ICML/ICLR), computer vision (CVPR/ICCV/ECCV), or multimedia (ACM Multimedia) conferences is a plus

Preferred Qualifications:
•    Prior experience in interdisciplinary research.
•    Interest in the impact of digital technologies and AI safety on society.

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-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

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

About our client
We are partnering with a leading quantitative investment firm to hire an Accounting Associate based in Singapore, supporting the finance operations of a specialised business unit within the group.

What You'll Do

• Handle day-to-day accounting for an overseas business entity, including journal entries, month-end close, and financial statements
• Manage employee expense reimbursement workflows, reviewing for policy compliance and reasonableness
• Coordinate with local auditors to support the annual audit process, including preparation of working papers
• Assist with tax filings and respond to queries from tax authorities
• Support banking operations including account management, fund reconciliation, and account opening
• Partner with the business unit's finance BP to provide local financial data, budget tracking, and cost analysis
• Develop and refine accounting treatment for industry-specific items including asset depreciation and operational cost allocation

What We're Looking For

• Degree in Accounting, Finance, or related field
• 3–5 years of relevant accounting experience
• Background in technology infrastructure, data centres, or capital-intensive industries is highly preferred
• Familiar with Singapore corporate tax and compliance requirements; experience with offshore entity accounting or audit is a plus
• CA qualification (completed or in progress) preferred
• Analytical mindset with an interest in understanding the business behind the numbers

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

EA Registration Number: R2197058
Business Registration Number: 201735941W. Licence Number: 18S9037
www.dadaconsultants.com

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-%28SHINE-Industry-Projects-and-Programme-Support%29/33489-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Industry Projects and Programme Support
•             Coordinate SHINE consortium activities and industry project administration.
•             Support coordination among researchers, industry partners, government agencies, and internal stakeholders to facilitate SHINE activities and industry collaborations.
•             Coordinate industry project activities, including tracking project progress, deliverables, milestones, and reporting requirements.
•             Maintain project documentation, records, and administrative materials to support project execution and compliance requirements.
•             Support technical workshops, industry engagements, consortium activities, and collaborative initiatives involving SHINE researchers and industry partners.
•             Organise workshops, seminars, technical talks, industry visits, and stakeholder engagement activities.
•             Support development of postgraduate programme operations and related programme initiatives.
•             Liaise with researchers, industry partners, government agencies, students, and internal stakeholders to support programme objectives.
•             Provide administrative and operational support for SHINE initiatives and other ad-hoc programme activities as assigned.

Qualifications

•            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in project coordination, industry collaborations, stakeholder engagement, programme administration, research administration, or related functions would be advantageous.
•             Experience coordinating projects, workshops, industry engagements, postgraduate programmes, internships, or multi-stakeholder initiatives would be advantageous.
•             Ability to engage effectively with researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Ability to manage multiple priorities and work effectively in a dynamic environment.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Self-motivated, resourceful, and able to work independently as well as collaboratively within a team.
•             Open to appointment on a fixed-term contract.

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-%28Urban-Ecology-Biodiversity-Landscape-Maintenance%29/33431-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibilities
•    Simulate and evaluate urban biodiversity
•    Conduct field surveys and model calibration
•    Quantify landscape maintenance regimes
•    Contribute to design guidelines and project coordination

Qualifications

•    PhD in Urban Ecology, Landscape Architecture, or related field
•    Experience in biodiversity surveys and ecological modelling
•    Strong analytical and visualization skills
•    Ability to integrate ecological insights into design strategies

❤️Sales Associate (100% Customers Provided)

(Looking For New Career Opportunity + No Relevant Experience Required)

❤️Earn $3000 Salary + High Active Comms = $8000-$10000 Income Monthly, Excluding Other Monetary Rewards - Incentives, Recurring Comms, Year Bonus, Loyalty Benefits, Career Progression Etc

(It Is Common For New Personnels Without Experience To Fetch At Least $8000 Monthly Income Over Here)

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

Join the laboratory of Liu Chuan Fa at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on developing protein conjugates and cyclic peptides as therapeutic agents using bioconjugation and peptide chemistry techniques.

Key Responsibilities

• Develop peptide cyclization methods

• Develop bioconjugation techniques using plant-derived AEPs and other enzymes

• Evaluate pharmacological activity of cyclic peptides and bioconjugates

• Supervise attachment students (FYP, URECA and interns)

• Develop and use AI tools for drug discovery

• Write up, publish and present research results in peer-reviewed international journals and at scientific conferences.

Job Requirements

• A PhD degree in biological sciences or related areas, with prior training in medicinal chemistry, peptide and protein science

• Experience in small-molecule drug discovery, peptide synthesis, protein chemistry and bioconjugation research

• Experience in basic cell & molecular biology, analytical chemistry and biophysics techniques (bacterial and mammalian cell culture, PCR, RT-PCR and ELISA, NMR, Mass Spectrometry, microscopy and flow cytometry)

• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders

• Strong publication record

• Entry level candidates are welcome to apply

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.

We regret that only shortlisted candidates will be notified.