Total 10,262 job vacancies in Singapore

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/Laboratory-Technologist-%28Research-Support%29/32771-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

To support laboratory operations by performing clinical chemistry analyses, biospecimen processing, and ensuring effective management of laboratory consumables, reagents, and equipment. The role maintains high standards of quality, safety, and compliance to support research activities.

Duties & Responsibilities
• Perform routine clinical chemistry analyses
• Perform blood and urine sample processing
• Ensure proper handling, labelling, storage, and traceability of samples
• Carry out routine equipment maintenance and basic troubleshooting for laboratory equipment
• Responsible for laboratory-base risk management, audits, and compliance documentation
• Maintain a safe, clean and hygienic laboratory working environment
• Perform other laboratory operational duties as required

Qualifications

• Diploma or bachelor’s degree in Biomedical science, Life Sciences, Chemistry, or a related discipline. Candidates without experience are welcome to apply
• Experience in clinical chemistry or biospecimen processing is an advantage
• Meticulous with strong attention to detail and good documentation practices
• Self-motivated, responsible, and willing to learn new techniques and systems
• Strong collaborative mindset with the ability to work effectively in a multidisciplinary team environment

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-%28Smart-Pavement%29/33311-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites applications for one (1) Research Fellow position in the area of smart pavements. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform field experiments on installation and operations of smart pavements including sensor installation, data acquisition, camera system development, edge device management, backend communications, and software architecture integration as core focus.
•    Work on mechanistic empirical pavement modelling and evaluation for airport pavements.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI.  

Job Requirements

•    Possess a PhD in civil engineering or a related area. 
•    Applicants with relevant experience in both field asphalt pavement design and modelling, smart road development and field implementation would be favourably considered. 
•    Strong written and spoken communications and has the ability to present research findings in publications and professional meetings (including with agencies and the industry). 
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 
 

Interested applicant may apply to the job link with the followings: 

•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for referee letters (of which one must be from the PhD supervisor)
 
•    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-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

Job Summary

The Executive Assistant provides high-level administrative and strategic support to senior management. This role requires strong organisational skills, discretion, and the ability to manage multiple priorities in a fast-paced environment.

Key Responsibilities

1. Executive Support

• Manage and coordinate the GM calendar, appointments, and meetings

• Prepare meeting agendas, reports, presentations, and minutes

• Screen calls, emails, and correspondence on behalf of the executive

• Act as the primary point of contact between the executive and internal/external stakeholders

2. Administrative & Operational Support

• Coordinate travel arrangements, itineraries, and accommodation

• Track and manage confidential documents and company records

• Assist in drafting business correspondence and reports

• Monitor deadlines and follow up on key action items

3. Business Coordination

• Liaise with internal departments and external partners

• Support project coordination and business initiatives

• Assist in preparing budgets, expense reports, and payment documentation

4. Confidentiality & Discretion

• Handle sensitive information with the highest level of confidentiality

• Maintain professionalism in all communications

Role Overview

As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful projects that address real-world operational needs.

We are seeking a Research Engineer to join an applied research project focused on the development of an embodied AI robotic system for urban infrastructure inspection and maintenance. The project involves the design, integration, and validation of robotic mechanisms, sensing systems, and automated workflows for outdoor infrastructure maintenance applications.The successful candidate will work closely with a multidisciplinary research team and industry partners to investigate, prototype, test, and implement practical robotic solutions that can operate in real-world environments and support more efficient, safe, and scalable infrastructure maintenance.

Key Responsibilities

• Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules.
• Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks.
• Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation.
• Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability.
• Build, assemble, and commission mechanical prototypes and experimental robotic systems.
• Conduct laboratory and field testing, analyse results, troubleshoot issues, and implement design improvements through iterative development.
• Source and evaluate commercial components, and work with vendors, fabricators, and contractors to support fabrication and assembly.
• Support field deployments and technology demonstrations with industry partners.
• Prepare technical reports, design documentation, test reports, risk assessments, and project deliverables.
• To liaise and communicate with internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by Supervisor.

Requirements

• Bachelor’s degree or higher in Mechanical Engineering, Mechatronics Engineering, Robotics Engineering, or a related discipline.
• Strong hands-on experience in mechanical design, prototyping, fabrication, and system integration.
• Proficiency in SolidWorks for 3D modelling, assembly design, and engineering documentation.
• Good understanding of mechanical design principles, materials, manufacturing processes, and engineering analysis.
• Experience working with robotic systems, sensors, actuators, or mechatronic systems is advantageous.
• Strong problem-solving skills, attention to detail, and ability to work independently and within multidisciplinary teams.
• Willingness to conduct laboratory and field testing when required.

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-Associate-%28AI-Law%2C-Sustainability-and-Public-International-Law%29/32994-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) was established in 2009 as a university-level research institute at National University of Singapore (NUS). CIL engages in both legal and multi-disciplinary research on a wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/

CIL invites applications for a one-year Research Associate position. We seek an early career scholar specialising in public international law with a strong interest in the governance of artificial intelligence (AI) and sustainability to work as part of the AI and Technology Law programme led by Dr Jon Truby. This position is part of CIL's expanding research programme on AI law, climate and environmental sustainability, and digital governance within the international legal framework. The Research Associate will have the opportunity to advance their research profile in a dynamic and supportive environment at the intersection of AI, sustainability and public international law.

Responsibilities: 

• Conduct high-quality research on the nexus between AI and digital technologies, international law and sustainability.
• Prepare and publish at least one substantial piece of scholarly work suitable for submission to a reputable journal during the appointment.
• Contribute to the development and delivery of CIL’s research agenda on AI, technology and sustainability, including conceptualising new projects and outputs.
• Assist in the preparation of project proposals related to AI governance, climate and sustainability in international law.
• Support the planning, development and organisation of seminars, workshops and conferences, and present research at academic seminars and similar fora.
• Monitor and analyse developments in international law related to AI, emerging technologies and sustainable development, and prepare briefings and research materials for CIL’s programmes.
• Support and expand CIL’s role in regional and global forums addressing legal frameworks for AI, digital technologies and sustainability.
• Contribute, where appropriate, to CIL’s broader research projects, events and initiatives.
• Reside in Singapore throughout the term of appointment, in accordance with NUS policies on residence and leave.

CIL provides its research staff with extensive professional development opportunities through NUS events, seminars, and training programmes. Staff members also have opportunities to participate in regional and international academic engagements, including conferences, workshops, and symposiums.

Qualifications

• An LLM, JD degree or equivalent experience, preferably with a focus on AI and/or sustainability or climate and environmental governance;
• Demonstrated scholarly interest in AI and technology law, together with a clear interest in sustainability or climate and environmental governance in international law;
• Proven strong research and writing capabilities, evidenced by publications, working papers or a high-quality dissertation;
• Strong analytical skills to navigate the intersections of AI, sustainability and international law, and to conduct both independent and collaborative research;
• High level of self-motivation and organisational skills, including the ability to manage research tasks, coordinate activities and consistently meet deadlines;
• Ability to collaborate effectively within a team, with excellent oral and written communication skills, and proficiency in relevant IT tools that facilitate research and collaboration.

Application Procedures

Interested applicants are invited to submit their applications through the NUS Career Portal with the following supporting documents:

• A cover letter outlining relevant experience, motivation for joining CIL, and research interests;
• A detailed curriculum vitae (maximum three pages) setting out educational background and work history
• University transcripts
• One sample of written work
• Names and contact information of at least three (3) referees.

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at huong.tam@nus.edu.sg

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-%28Hybrid-organic-inorganic-perovskites%29/33368-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites applications for a Research Fellow position working in the synthesis and characterization of hybrid organic inorganic perovskites single crystal and thin film. Our research focuses on engineering chirality and functionality on hybrid superlattices.  

Candidates with the following experiences will be advantaged:

(1)    the solution phase synthesis of large sized 2D hybrid organic inorganic perovskites crystals
(2)    Design of chiral or multiferroic 2D hybrid organic inorganic perovskites
(3)    Adept with the use of piezoresponse force microscopy to study ferroelectric phases
(4)    Adept with optical spectroscopic methods to study excitonic processes
(5)    Ability to solve single crystal XRD 

The candidate should have a PhD degree and strong track record in Materials Chemistry or Physics, with publishing in related areas.

An attractive renumeration package will be offered for suitable candidate with a strong record in 2-D condensed matter physics and who has good publication record. 

Events & Research Coordinator (3-Month Temp) #HMS

Job Description

The Genome Institute of Singapore (GIS) is the national flagship for genomic sciences, driving cutting-edge research at the intersection of biology, engineering, and medicine. This position is offered in the Laboratory of AI in Genomics, led by Prof. Mile Šikić, which uses advanced bioinformatics and deep learning approaches to develop next-generation models for genomic data analysis. We are group a of computer scientist with a mission to improve healthcare using advance deep learning models. Located in the heart of Singapore’s thriving biomedical hub, GIS offers a dynamic and collaborative environment, with close ties to world-class universities (NUS and NTU), pharmaceutical companies, and biotech start-ups. Joining our team means working on transformative projects with real-world impact, while benefiting from Singapore’s vibrant research ecosystem and strong support for innovation.

Project background:

De novo genome assembly has been one of the most challenging problems in genomics. However, with development of new long read sequencing technologies, new assemblers and manually curated high quality benchmarks including CHM13, HG002 and I002C assembling most of human chromosomes T2T has become a routine task.

This project will focus on a more challenging task, assembling of human cancer genomes which are especially difficult due to cancer genome heterogeneity. Using the fact that we can reconstruct normal tissue genomes routinely we aim to reconstruct cancer genomes.

Job duties and responsibilities:

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models and agents aiming to speed up therapeutics development.

The duties include development of AI models or algorithms.

Job Requirements:

• Bachelor or Master in Computer Science, Mathematics or Physics
• Experienced in deep learning or classical algorithms
• Experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• Experienced with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis;
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.

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

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.

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-%28Hybrid-organic-inorganic-perovskites%29/33365-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites applications for a Research Fellow position working in the synthesis and characterization of hybrid organic inorganic perovskites single crystal and thin film. Our research focuses on engineering chirality and functionality on hybrid superlattices.  

Candidates with the following experiences will be advantaged:

(1)    the solution phase synthesis of large sized 2D hybrid organic inorganic perovskites crystals
(2)    Design of chiral or multiferroic 2D hybrid organic inorganic perovskites
(3)    Adept with the use of piezoresponse force microscopy to study ferroelectric phases
(4)    Adept with optical spectroscopic methods to study excitonic processes
(5)    Ability to solve single crystal XRD 

The candidate should have a PhD degree and strong track record in Materials Chemistry or Physics, with publishing in related areas.

An attractive renumeration package will be offered for suitable candidate with a strong record in 2-D condensed matter physics and who has good publication record. 

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

• Conduct research in the area of control theory and machine learning

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

• Bachelor’s degree in control theory, machine learning, robotics, or related field

• Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

• Good written and oral communication skills

• Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

• Entry level candidates are welcome to apply

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

About the Project

New Hope Community Services is undertaking Singapore's first Housing Sustainability Research Study under the Integrated Housing Reintegration Programme (IHRP). The Research Assistant will support participant recruitment, data collection, programme monitoring, database management and research administration.

Duration

• 10-Month Contract (July 2026 – April 2027)
• Extendable subject to project needs and funding.

Reporting To

• Head, Social Housing / Principal Investigator

Key Responsibilities

Research Coordination

• Support implementation of the IHRP Housing Sustainability Study across SRSF and JSS-OR sites.
• Coordinate participant recruitment, onboarding and assessment scheduling.
• Maintain participant tracking logs and follow-up schedules.
• Support participant incentive disbursement and documentation.

Data Collection & Assessment Administration

• Administer Housing Sustainability Risk Assessments and Quality of Life surveys.
• Conduct baseline and follow-up assessments according to study protocol.
• Ensure completeness and accuracy of assessment forms.
• Liaise with staff to coordinate assessment appointments.

Database & Data Management

• Maintain research databases and participant records.
• Perform data entry, verification and cleaning.
• Conduct routine quality assurance checks.
• Ensure compliance with confidentiality and governance requirements.

Programme Monitoring & Research Support

• Track programme enrolment and participation.
• Monitor intervention attendance and completion rates.
• Support literature reviews, descriptive statistics and data summaries.
• Assist with interim reports, presentations, and publications.

Administrative Support

• Coordinate meetings and stakeholder engagements.
• Maintain study documentation and filing systems.
• Support project logistics and procurement.
• Perform other project-related duties assigned.

Requirements

• Diploma or Degree in Social Work, Psychology, Sociology, Public Health, Statistics or related disciplines.
• Experience in research, programme evaluation or data management preferred.
• Strong organisational, communication and analytical skills.
• Proficient in Microsoft Office; SPSS/R/NVivo familiarity advantageous.

Expected Deliverables

• Recruit approximately 70 study participants.
• Administer baseline and follow-up assessments.
• Maintain accurate research database and participant tracking system.
• Support incentive administration and follow-up.
• Produce cleaned datasets and support statistical analysis.
• Support interim and final evaluation reports.

The intent of this job description is to provide a representative summary of the major duties and responsibilities of the position. You may be required to perform job-related task other than those specifically presented in this description. This job description does not constitute a contract of employment.

Ready to kickstart your professional journey while gaining real-world exposure in the healthcare industry? Join an internship experience where you will work on meaningful projects, sharpen your business insights, and develop valuable skills in research, analysis, and stakeholder engagement.

Your Role & Responsibilities

• Support business research initiatives by gathering, organizing, and analyzing market information
• Conduct industry research, competitor reviews, and data collection to uncover key insights
• Assist in preparing reports, presentations, and business materials for internal discussions
• Compile and interpret data from various sources into clear and structured formats
• Identify market trends and contribute ideas to support business strategies
• Support ongoing projects through coordination, documentation, and administrative assistance
• Utilize Microsoft Office tools to create professional reports, spreadsheets, and presentations
• Work closely with team members on assigned projects while gaining hands-on industry exposure

What We're Looking For

• GCE ‘A’ Levels, Diploma, or equivalent qualifications and above
• Genuine interest in healthcare, business strategy, research, or market analysis
• Strong attention to detail with good organizational and analytical abilities
• Comfortable working with Microsoft Office applications
• Positive learning attitude with the ability to adapt and take initiative
• Good communication skills and ability to collaborate effectively
• Training and guidance will be provided

Why This Opportunity?

• Gain practical exposure to healthcare business operations
• Develop research, analytical, and commercial skills
• Learn how business decisions are shaped through data and market insights
• Build a strong foundation for future career opportunities

Interested candidates are encouraged to send their updated resume to careerwithus@recruitexpress.com.sg with the subject Healthcare Business Explorer Intern.

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

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/

We are looking for an ambitious and highly motivated Research Assistant to work under the supervision of a Project Manager. The role will focus to support the communication and translation of various research outcomes to various stakeholder groups, including but not limited to the public, government agencies, and NGOs through clear, engaging and evidence-based content and outreach activities. As ASE and EOS together form an interdisciplinary research and education ecosystem, the incumbent may also be required to support with content development and communications activities related to Asian School of the Environment (ASE). The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges.

Key Responsibilities:

• Generate social media and digital content on topics related to geohazards, environment, and the funded research projects.

• Research and evaluate effective science communication strategies, including the potential role of Generative AI in facilitating science communication of research topics to diverse audiences.

• Support the research group in science communication and outreach activities.

• Assist with stakeholder engagement activities related to earthquake hazards, disaster response, and sea-level rise.

Job Requirements:

• Bachelor’s degree in Communications or a related discipline.

• Background in art, design or digital media, with familiarity or interest in environmental science.

• Strong design and copywriting skills, with a deep understanding of digital culture and social media trends and the ability to create engaging content for student and young adult audiences.

• Ability to work methodically and collaboratively, with strong problem-solving skills and the ability to meet deadlines.

• Proactive and detail-oriented, with a growth mindset and eagerness to learn.

• Proficiency in Adobe Photoshop, Canva, CapCut, DaVinci Resolve, and other relevant video editing tools.

• Proficiency in photography, photo editing, and videography using mirrorless and DSLR cameras.

• Existing networks or connection with nature, climate action, or environmental communities in Singapore and/or Southeast Asia.

We seek 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 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-Associate-in-Institute-of-South-Asian-Studies-%28South-Asia%29/33467-en_GB/

We regret that only shortlisted candidates will be notified.

Research Associate (South Asia)

Established in 2004, the Institute of South Asian Studies (ISAS) is an autonomous research institute at the National University of Singapore. It is dedicated to research on contemporary South Asia. The Institute seeks to promote understanding of this vital region of the world, and to communicate knowledge and insights about it to policy makers, the business community, academia and civil society, in Singapore and beyond.

The Institute of South Asian Studies (ISAS) at the National University of Singapore is seeking to appoint a Research Associate to its research team.

Focus Areas

Candidates should have research interests in one or more of the following areas relating to South Asia:

• International Relations, Multipolarity and Multilateralism
• Politics, Society and Governance
• Trade and Economics
• Strategic Technologies
• Sustainability and the Environment

Requirements

• A Master’s degree in International Relations, South Asian Studies or a related discipline
• Strong theoretical and empirical grounding in South Asian politics, society, economics, development and/or international relations
• Demonstrated research and writing abilities, preferably with a focus on South Asia

Application

Interested candidates are invited to submit their cover letter, detailed curriculum vitae and a writing sample (an authored article related to South Asia) in PDF attachment. 

Remuneration will commensurate with qualifications and experience.

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (EEE) at NTU is one of the world’s largest engineering schools and ranks 4th globally for Electrical & Electronic Engineering (2025 QS World University Rankings by Subject). Sia Laboratories, led by Asst Prof Brian Sia, is affiliated with the National Centre for Advanced Integrated Photonics (NCAIP) and a DSO Quantum Sensing Centre, and works across heterogeneously-integrated photonics, hybrid III–V/Si and III–V/TFLN lasers, optical frequency combs, RF photonics, FMCW LiDAR, and quantum photonic sensing. We are seeking a Research Fellow, Integrated Photonics, to advance the design, fabrication, and characterisation of next-generation hybrid photonic devices and to lead system demonstrations relevant to RF channelisation, coherent LiDAR, and rubidium-based atom interferometry.

We are looking for a Research Assistant, Integrated Photonics to advance the design, fabrication, and characterisation of next-generation heterogeneously-integrated photonic devices for laser, RF photonic, LiDAR, and quantum-sensing applications. The role will focus on hybrid III–V on silicon and III–V on thin-film lithium niobate (TFLN) integration, semiconductor laser physics (E-DBR Pockels FM lasers, Vernier external-cavity lasers, optical frequency combs), and end-to-end system demonstrations in coherent FMCW LiDAR, photonic RF channelisation, and rubidium-based quantum sensing.

Key Responsibilities:

• Design, simulate, and tape-out integrated photonic devices on silicon, thin-film lithium niobate (TFLN/TFLT), Si₃N₄, and III–V/Si heterogeneous platforms using FDTD, EME, and photonic-circuit simulators (e.g., Lumerical, Tidy3D, INTERCONNECT).

• Develop, fabricate, and characterise hybrid III–V/TFLN and III–V/Si₃N₄ semiconductor lasers — including E-DBR Pockels FM lasers, Vernier external-cavity lasers, and optical frequency-comb sources — and lead device runs from layout (GDSII) through foundry submission, post-fab assembly, and packaging.

• Build and operate optical and RF measurement setups for laser linewidth, frequency-noise, RIN, optical-spectrum, electro-optic S-parameter, and FMCW-LiDAR ranging characterisation.

• Publish first-author papers in leading journals (e.g., Nature Photonics, Optica, Light: Science & Applications, JLT, JSTQE, APL Photonics) and present at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West).

Job Requirements:

• Bachelor in Electrical and Electronic Engineering or related field

• At least 2 years of relevant experiences in integrated photonics research

• Familiarity with photonic design tools (Lumerical FDTD/EME/INTERCONNECT, Ansys, Synopsys RSoft, or Tidy3D) and GDSII layout in KLayout, gdsfactory, IPKISS, or PHIDL

• Good written and oral communication skills evidenced by first-author publications in leading photonics journals and presentations at flagship conferences (CLEO, OFC, ECOC, IPC, Photonics West)

• Proficiency in practical optical and microwave measurement (tunable lasers, OSAs, ESAs, VNAs, lock-in detection, RF probing); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage

• Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and reproducible scientific workflows

• Strong interpersonal skills, with the ability to work independently and deliver against tight project milestones, meticulous attention to detail, and excellent organisational, documentation, and time-management habits

• Preferred: prior experience with one or more of — photonic packaging and butt-coupling, flip-chip / wire-bond assembly, electro-optic modulator design, FMCW LiDAR system architecture, or atom-interferometry-grade laser systems

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

PURPOSE OF THE ROLE

In this role, you will drive both business development and operationalexcellence for our Clinical Trial Projects. Your key responsibilities willinclude:

•        Managing Requests for Information (RFIs) andRequests for Proposals (RFPs)

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

•        A diploma or degree in a science orhealth-related field

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Project Officer to develop intelligent detection and picking methods of extracting weak yet coherent signals from 2D acoustic or seismic recordings.

Key Responsibilities:

• Develop and apply innovative 2D seismic phase picking methods

• Extract seismic phases for enhancing practical findings

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate students

Job Requirements

• Bachelor’s degree in exploration seismology, applied geophysics, or related field

• At least 2 years of relevant experience in geophysical signal processing

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

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-Fellow-%28Digital-Design-Landscape-Design-Decision-Support-Tools-%29/33432-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 3.5 years based on the performance and career plan of the hired person.

Responsibilities
•    Assess landscape performance (visual, spatial, and functional)
•    Apply geospatial and image-based analysis methods
•    Develop digital decision-support tools for landscape design
•    Support project coordination and delivery

Qualifications

•    PhD in Landscape Architecture, Computer Science, Data Science, or related field
•    Experience in point cloud analysis or real-time object tracking
•    Proficiency in programming and data-driven design workflows
•    Experience in tool development and visualization preferred
•    Strong problem-solving and project management skills

Job Description

• Industry/ Organization Type: Manufacturing & Production
• Position Title: Warehouse Assistant/Logistics Assistant
• Working Location: Woodlands
• Working Hours: 5 days, Monday – Friday (9am – 6pm)
• Salary Package: Basic + $100 Transport Allowance + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Receive, unpack, and record incoming raw materials and goods.
• Ensure proper storage, labelling, and documentation of materials and finished products.
• Replenish raw materials for production (Kanban system).
• Pack and record finished goods from production.
• Coordinate with the Sales department to arrange timely shipments.
• Conduct cycle counts to maintain inventory accuracy.
• Report any discrepancies or faulty materials to the Team Leader or Purchasing team.
• Maintain a clean and organized workplace in line with 5S standards.
• Perform other duties as assigned by the superior.

APPLY NOW!!!

• Minimum O-Level or relevant qualification.
• Experience in logistics or warehousing preferred.
• Basic knowledge of MS Office.
• Experience with SAP and material management is an advantage.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82528 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

We are stealth mode - Healthcare AI startup

• Founding team - serial entrepreneurs
• Backed by Tier 1 US VCs
• Team of 30 across the globe

About the role

You'll be working directly with the founding team and wearing multiple hats:

• PA and EA support
• Basic product and market research
• Team follow-ups to keeping things moving
• Coordination with the team overseas

What to Expect

• Full time position, primarily in-office with option to WFH on some days
• Direct access to leadership from day one
• The right candidate is candidate and available
• Fresh graduates welcomed