Total 1,350 job vacancies in Singapore

• Coordinate research activities and ensure projects remain on track across different stages.

• Manage vendors and review research materials, including questionnaires and code frames.
• Test surveys and review data outputs to ensure accuracy, consistency, and quality.
• Consolidate and prepare datasets from multiple sources, ensuring data reliability.
• Create clear and impactful data visualisations using Excel (e.g. charts, pivot tables, dashboards) to support data‑driven decision‑making.
• Support the enhancement of data dashboards through planning and testing.

We’re Looking for Someone Who:

• Has strong organisational skills and thrives in a fast‑paced, deadline‑driven environment.
• Pays close attention to detail and takes pride in ensuring data accuracy.
• Is highly proficient in Excel and comfortable working with large datasets.
• Communicates clearly and effectively with internal and external stakeholders, both written and verbally.

Interested candidate please click"APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

Benefits Included:

Weekly salary disbursement

CPF contributions

Job Description:

Fixed 5.5 working days weekly

Flexibility to use your own bike or rent ours

No previous experience needed

Must possess a Class 2B licence

⚠️ Limited intake — act quickly!

- A

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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

The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant/ Project Officer will be supporting the Project Lead to deliver the project, ensuring that the overall project output meets the requirements.

Research Assistant/Project Officer’s responsibilities; whilst not exhaustive will include:

• Work with internal team members, interfacing teams, partners and suppliers to ensure technical requirements are understood as required

• Plan and execute experiments

• Capture and analyse data

• Resolve technical problems

• Perform technical research and technical report writing

Requirements:

• Bachelor’s degree in Mechanical, Electrical and Electronic, Optical Engineering or related field from a reputable University

• Experience in sensing, condition monitoring or structural health monitoring

• Proficiency in basics of programming languages such as C, C++ and Python

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

We are seeking a detail-oriented and reliable professional to support research operations across the institute’s research facilities, with primary responsibility on asset management and operational readiness.

The role will support the smooth functioning of laboratories by ensuring that laboratory assets, equipment, and infrastructure are well managed throughout their lifecycle, while also contributing to broader research operations, business continuity, and sustainability initiatives that underpin high-quality skin research.

Key Accountabilities

The successful candidate will support a broad portfolio of research operations activities, with particular responsibility for asset governance, coordination, and execution.

Asset Management and Governance

• Support laboratory operations across multiple research spaces, ensuring that laboratory assets and infrastructure are available, functional, and fit-for-purpose to meet operational needs.
• Ensure accurate and up-to-date asset records across multiple laboratories, including capital equipment, IT devices, and shared laboratory infrastructure, in relevant asset management systems (e.g. PPMS, SATS/FAMS).
• Conduct asset sighting and verification exercises, including reconciliation of discrepancies, follow-up with custodians, and documentation of outcomes.
• Oversee asset tagging, movement, loan, return, and disposal processes in accordance with institutional policies and audit requirements.
• Support asset lifecycle activities, including commissioning, transfer, disposal, insurance coverage, and warranty documentation.
• Contribute to asset-related reports and documentation for management review and internal/external audits.

Operational Support

• Support the institute’s operations, including daily operations, space changes, equipment refresh projects, and renovation or relocation activities from an asset perspective.
• Coordinate with internal stakeholders, vendors, and A*STAR corporate partners (e.g. OSFA, IT, Finance) to ensure timely and accurate execution of asset and operations-related tasks.
• Support procurement activities for laboratory equipment and infrastructure, including documentation, delivery tracking, and asset registration.
• Assist with demand aggregation and disposal coordination initiatives.

Compliance, Safety, and Sustainability

• Ensure asset management practices comply with institutional policies, statutory requirements, and audit standards.
• Support environmentally sustainable operations by facilitating reuse, redeployment, or responsible disposal of assets where feasible.
• Assist in Business Continuity Management (BCM) activities by maintaining asset inventories critical to continuity planning and recovery.

Reporting and Administrative Support

• Prepare regular operational and asset management reports and provide administrative support for tasks assigned.
• Support documentation of SOPs and work instructions related to asset management and laboratory operations.
• Provide administrative and operational support for tasks as assigned.

Job Requirements

• A Bachelor’s in Science, Engineering, Facilities Management, Operations, or a related discipline.
• At least 2–4 years of relevant experience in laboratory operations, asset management, facilities, or operations support within a research or technical environment.
• Experience with asset management systems and asset sighting exercises is preferred.
• Detail-oriented, with a systematic and organised approach to data and documentation.
• Good coordination and communication skills, with the ability to work effectively with multiple stakeholders.
• Self-motivated, dependable, and able to manage routine operational tasks alongside ad hoc requests.
• A collaborative team player with a positive attitude and willingness to support operational priorities
• Proficient in Microsoft Office applications
• Able to meet the physical demands of the role, including handling and lifting of laboratory equipment and assets, in compliance with institutional safety and workplace health requirements

The A*STAR Skin Research Labs invites applications for a Research Officer to support ongoing research in the Digital Twin of Skin (DTS) and optical metrology of Asian skin. The Research Officer will contribute through computational, analytical, and data-driven work and will be an integral member of a multidisciplinary research team.

Our research adopts a multi-scale view of skin as a complex biological system, spanning nano, micro, and meso scales. At the nanoscale, this includes molecular and cellular information such as DNA, RNA, proteins, and other biochemical constituents, while higher scales capture tissue structure, optical properties, and functional responses. These layers are integrated within the Digital Twin of Skin, which combines biophysical modelling with state-of-the-art AI techniques.

The Research Officer will work closely with the research team and senior researchers, providing computational and analytical support at the interface of physics, biology, and machine intelligence.

Roles and Responsibilities:

• Support research activities through computational modelling, AI-based analysis, and data interpretation.
• Perform data processing, statistical analysis, and visualisation using appropriate software tools.
• Assist in the integration of multi-scale datasets within the Digital Twin of Skin framework.
• Collaborate with team members across disciplines to support research objectives and deliverables.
• Contribute to technical documentation, internal reports, presentations, and scientific publications.

Requirements:

• Bachelor’s or Master’s degree in Computing, Computational Science, Biotechnology, Biomedical Engineering, or a related discipline.
• Knowledge of data analysis, AI/ML, or computational modelling methods.
• Hands-on experience with MATLAB and Python; familiarity with AI frameworks such as PyTorch or TensorFlow.
• Strong analytical skills, attention to detail, and ability to follow structured research workflows.
• Ability to work independently and collaboratively within a team-based research environment.
• Curiosity and willingness to learn and apply new biophysical and computational modelling approaches.

Please reach out to Alagappan (Alagappan@a-star.edu.sg) if you are interested in this position.

We are seeking a proactive and adaptable Research Operations Officer to provide hands-on operational support for A*STAR SRL and SRIS.

This role is focused on supporting the smooth day-to-day functioning of research laboratories while contributing to general operational activities across the institute and requires someone who is comfortable working on the ground, coordinating logistics, and ensuring operational processes are carried out efficiently and accurately.

The successful candidate will work closely with the Research Operations Lead and Planning & Operations team to support laboratory readiness and general operational needs.

Key Accountabilities

Laboratory Operations Support

• Provide on-the-ground support for A*STAR SRL and SRIS laboratory operations, including coordination of laboratory access, supplies, consumables, and essential operational materials.
• Assist in maintaining a safe, organised, and operationally ready laboratory environment, including serving as a dept safety representative to support lab operational safety.
• Coordinate with vendors, facilities, and internal stakeholders to ensure timely delivery and availability of laboratory resources.
• Support laboratory set-ups, relocations, and operational activities.
• Assist with asset-related activities, where required.

General Operations Support

• Assist with general administrative and coordination tasks across Planning & Operations as required e.g., Invoice management, Goods Receipt, tracking of temp access passes, business continuity, events logistics support, as well as other tasks, as delegated.
• Act as a Procurement Advocate, supporting laboratory users with basic procurement guidance and advising on best practices to facilitate compliant and efficient purchasing processes.
• Support licence subscriptions and management, including renewals and issuance.
• Manage and track laboratory notebooks, including issuance and record-keeping.

Compliance & Documentation

• Support compliance with institutional policies and operational procedures related to laboratory and general operations.
• Maintain accurate records and documentation for assigned operational activities.
• Support the documentation of SOPs and work instructions for routine operational processes.

Job Requirements

•  A Bachelor's in Science, Engineering, Facilities Management, Operations, or a related discipline.
• At least 2 years of relevant experience in laboratory operations, research support, facilities management, or general operations within a research or technical environment.
• Detail-oriented, organised, and dependable, with a practical, hands-on approach to work.
• Good coordination and communication skills, with the ability to work effectively with researchers, operations staff, and external vendors.
• Comfortable managing routine tasks alongside ad hoc operational requests in a dynamic environment.
• A collaborative team player with a positive attitude and willingness to support operational priorities
• Proficient in Microsoft Office applications
• Able to meet the physical demands of the role, including handling and lifting of laboratory equipment and assets, in compliance with institutional safety and workplace health requirements.
• Adaptable to work exigencies

The Quantitative Trading & Research group is a cross-asset front-office team working on the JP Morgan trading floor here in Singapore, looking for an Associate to join the team. You will join one of the biggest electronic trading franchises, with a primary focus on the algorithmic order execution across macro.

As an Associate, you will work in in a dynamic and rewarding environment to identify and design algorithmic trading solutions for clients’ needs, drive revenue and expand the business. You will cover a wide range of responsibilities, including designing trading and execution strategies, researching micro-patterns and trends, building applications and tools, and supporting day-to-day operations.

Job Responsibilities

• Design and implement algorithmic orders to execute on behalf of clients.

• Formulate, analyse and back-test strategies, models, and signals.

• Collaborate with technology to develop cutting-edge low-latency infrastructure that meets business needs in a scalable manner.

• Perform statistical analysis of algorithmic order execution to drive iterative improvements.

• Develop real-time and post-trade transaction cost analysis models to optimize the algorithmic execution.

Required Qualifications, Capabilities, and Skills

• Degree in Engineering, Mathematics, Physics, Computer Science, or equivalent/ quantitative field.

• At least 2 years experience

• Strong programming skills in Java/C++ or any other object-oriented languages.

• Oriented towards careful system design and implementation.

• Excellent verbal and written communication skills for frequent interaction with Clients, and different teams, including Voice Trading, Sales, Product, Research and Technology.

• Highly motivated, attention to detail, adaptable, and eager to learn.

Preferred Qualifications, Capabilities, and Skills

• Good knowledge of statistics and/or machine learning.

• Interest in quantitative systematic trading across asset classes.

• Strategic and creative thinking when faced with problems and opportunities, eager to explore and learn.

• Any experience in Commodities, and/or Rates markets, or familiarity with trading concepts and terminology is useful but not essential.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=792147f570a6e688313f29e74654dc07

The Quantitative Trading & Research group is a cross-asset front-office team working on the JP Morgan trading floor here in Singapore, looking for an Analyst to join the team. You will join one of the biggest electronic trading franchises, with a primary focus on the algorithmic order execution across macro.

As an Analyst, you will work in in a dynamic and rewarding environment to identify and design algorithmic trading solutions for clients’ needs, drive revenue and expand the business. You will cover a wide range of responsibilities, including designing trading and execution strategies, researching micro-patterns and trends, building applications and tools, and supporting day-to-day operations.

Job Responsibilities

• Design and implement algorithmic orders to execute on behalf of clients.

• Formulate, analyse and back-test strategies, models, and signals.

• Collaborate with technology to develop cutting-edge low-latency infrastructure that meets business needs in a scalable manner.

• Perform statistical analysis of algorithmic order execution to drive iterative improvements.

• Develop real-time and post-trade transaction cost analysis models to optimize the algorithmic execution.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Engineering, Mathematics, Physics, Computer Science, or equivalent.

• At least 1 year of experience

• Strong programming skills in Java/C++ or any other object-oriented languages.

• Oriented towards careful system design and implementation.

• Excellent verbal and written communication skills for frequent interaction with Clients, and different teams, including Voice Trading, Sales, Product, Research and Technology.

• Highly motivated, attention to detail, adaptable, and eager to learn.

Preferred Qualifications, Capabilities, and Skills

• Good knowledge of statistics and/or machine learning.

• Interest in quantitative systematic trading across asset classes.

• Strategic and creative thinking when faced with problems and opportunities, eager to explore and learn.

• Any experience in Commodities, and/or Rates markets, or familiarity with trading concepts and terminology is useful but not essential.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=2e8962fd9981b9de9ac260e1192ccf53

Roles & Responsibilities

• Transcribe audio-recorded interviews and/or classroom interactions
• Assist with qualitative data organisation and management
• Support thematic analysis (e.g., coding, categorising, identifying patterns)

Requirements

Essential:

• Bachelor’s degree (or current undergraduate/postgraduate student) in Education, Applied Linguistics, Social Sciences, or related fields
• Prior experience in transcription and qualitative research (thematic analysis)
• Ability to work independently and meet deadlines
• Good organisational skills and attention to detail
• Commitment to the responsible and ethical handling of confidential research data

Working Arrangements

• Duration: 5 months (part-time)
• Flexible working hours
• Remote work arrangement (with occasional meetings if required)

Salary: $15 per hour

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

We regret to inform 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:

• To independently undertake research in 3D computer vision and visual generation.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To provide guidance and support to any students associated with the project.

• To attend, contribute, and where necessary lead relevant meetings.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably Bachelor’s degree 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.

At Mavis Tutorial Centre, we are committed to providing top-quality educational services to help students excel academically. Our experienced educators deliver personalized and innovative teaching methods tailored to each student's needs. We offer a comprehensive range of subjects, ensuring a well-rounded and thorough education. Our goal is to create a supportive learning environment that nurtures curiosity, encourages critical thinking, and drives success. Join us at Mavis Tutorial Centre, where our exceptional services turn the journey of learning into an exciting and rewarding experience.

Job Highlights

• 5 day work week
• Paid term breaks
• Variable Bonuses
• Medical & Insurance
• Multiple Career Track Opportunities

Requirements

• Primary post – Min. Diploma
• Secondary post – Min. Bachelor degree
• Inspired to transform lives through education
• Adept in resonating with students and conveying concepts
• Proficiently demonstrates advanced knowledge of pedagogical practices
• Relevant teaching experience (not required but will be an added advantage)
• Willing to travel to different establishments to conduct classes
• Able to work on evenings and both weekends

Responsibilities

• Provide lessons that inspires a vibrant learning journey
• Track and develop learner’s progress
• Develop child-parent-teacher collaboration
• Curriculum development
• Adopt innovative teaching methods
• Participate in Examinations / Seminars / Workshops

Why choose us?

• Supportive Peers
• Recognition & Rewards
• Room for Growth & Career Advancement Opportunities
• Comprehensive Training Program tailored to enhance skill set

Job Description

The National Quantum Federated Foundry (NQFF) is advancing the frontiers of solid-state quantum technologies through the design and fabrication of high-performance quantum devices. We are seeking a motivated and capable candidate to join our efforts in superconducting qubit measurements. This role involves the design, simulation, and implementation of microwave packaging, high-frequency PCBs, and electromagnetic shielding to enable high-fidelity qubit control and readout. The successful candidate will contribute to device characterization, cryogenic measurements, and data analysis to evaluate qubit performance. You will also collaborate closely with the team on cryogenic setup development and qubit design/fabrication.

Main Responsibilities:

• Design, simulate, and validate microwave packaging, RF PCBs, and EM shielding for superconducting qubit devices
• Perform low-temperature qubit measurements, including protocol development, calibration, and data interpretation
• Contribute to technical documentation, research publications, and internal reporting
• Collaborate with a multi-disciplinary team of researchers

Job Requirements:

• A PhD degree in experimental physics, materials science, engineering, or related fields
• Hands-on experience with quantum device measurements, ideally involving superconducting qubits or other types of solid-state qubits
• Familiarity with cryogenic systems, including understanding of thermal management and wiring in cryostats
• Strong analytical and problem-solving skills
• Effective communication skills, both written and oral
• Demonstrated ability to work independently as well as in collaborative team environments

In addition, preference will be given to those having experience in:

• Design and integration of custom mechanical parts for cryogenic environments
• Experience with dilution refrigerators
• Proficiency in simulation and programming tools, such as Python, COMSOL, or HFSS

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.

ABOUT THE ROLE
SIMTech is seeking a highly motivated, independent, and innovative Energy Systems Analyst to join the Sustainability Informatics & Strategy (SIS) Group. Candidate will play a crucial role in developing and applying energy system models that underpin national decarbonisation strategies. This role is ideal for someone who enjoys mathematical modelling, data and policy analysis, and translating complex system dynamics into actionable insights for stakeholders.

JOB DESCRIPTION

Key Responsibilities

• Develop and calibrate a national-level energy system model used to identify decarbonisation pathways for Singapore
• Gather user requirements and integrate multiple data streams, such as techno-economic parameters and policy constraints, into modelling framework
• Perform techno-economic and environmental analysis of energy systems
• Conduct scenario analysis and sensitivity testing to assess the robustness, cost, and emissions impact of different decarbonisation pathways
• Visualise and communicate complex modelling results to non-technical stakeholders
• Engage with government agencies and industry partners to validate assumptions, align model objectives with strategic needs, and translate model outputs into policy recommendations

Qualification and relevant experience

• PhD in systems engineering, energy economics and policy, operations research, industrial ecology or a related field
• Familiarity with energy systems model-generators such as TIMES, LEAP, OSeMOSYS, PyPSA, PLEXOS, or other relevant software platforms used for optimisation of energy systems
• Proficiency in programming languages (such as Python, GAMS, R) and data analysis/visualisation tools
• Experience with techno-economic assessment of energy systems, lifecycle analysis or other sustainability related topics
• Experience with sensitivity analysis, robust decision making, or uncertainty quantification
• Interest in computable general equilibrium (CGE) modelling is a plus
• Knowledge of Singapore’s and Southeast Asia’s energy policy context and industrial ecosystem is a plus
• Strong verbal and written communication skills, with the ability to explain technical findings to interdisciplinary teams and stakeholders
• Diligent and possess a positive work attitude
• Willingness and ability to learn new energy system models, methodologies, and tools to adapt to evolving research needs and technological advancements 

Candidates from adjacent fields in sustainability, with willingness and ability to translate expertise into the energy and emissions domain and to learn energy systems modelling are strongly encouraged to apply.

Job Summary

The IT ( Systems ) Engineer is responsible for ensuring 24/7 server availability to support our global platform for pathogen data sharing. This role focuses on setting up, deploying, and maintaining virtual machines based on data submission demands, while liaising with network support team to ensure uninterrupted connectivity.

The candidate will work closely with system administrators, and scientific teams to ensure reliable, scalable, and secure network operations that support continuous global access to genomic data.

Job Responsibilities:

• Server management (Apache, Nginx, etc), network configuration, implementing security measures (firewalls, SSL), performance monitoring, and DNS management.
• Set up, configure, and deploy virtual machines in response to varying data submission and processing loads.
• Manage relationships with network providers and ensure service-level agreements (SLAs) are met.
• Troubleshoot systems/network issues, identify root causes, and implement corrective actions to restore services promptly.
• Conduct regular performance assessments and capacity planning to anticipate infrastructure scaling needs.
• Support disaster recovery and failover mechanisms to ensure uninterrupted platform operation.
• Collaborate with compute and application teams for systems integration.
• Maintain infrastructure documentation, performance logs, and provider agreements.
• Stay up-to-date with best practices in networking, virtualization, and infrastructure automation.

Job Requirements:

• Bachelor degree in Information Technology, Computer and Systems Engineering, or a related field.
• Possess web hosting experience in managing, maintaining, and troubleshooting server infrastructure to ensure website uptime, security, and performance.
• In-depth knowledge of Linux/Unix environments and system administration.
• Understanding of cybersecurity principles and network security implementation.
• Experience with virtualization platforms (e.g. Proxmox VE, VMware, KVM, Hyper-V, or cloud equivalents).
• Knowledge of shell scripting , common programming languages like Perl, Python, Java, C/C++.
• Strong troubleshooting and problem-solving skills, with ability to respond effectively under pressure.
• Familiarity with server load balancing, redundancy, and failover solutions.
• Hands-on experience with network monitoring tools and diagnostic utilities.
• Excellent communication skills and ability to work in a multidisciplinary, global team.

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.

Job Summary

• Perform daily operation for supply chain functions which includes shipping, packingreceiving, material handling, storage duties and distributing material from internal and external
• Handling the accompanying paperwork including data entry, filling and photocopying.
• Responsible for daily housekeeping of the store.
• Compliance with good knowledge of Integration.
• To carry out inventory stock taking management.
• Take part in the development of logistics / operation plans/projects.
• Identify and assess customers' needs to achieve satisfaction through reports by collecting and analysing.
• Perform other job-related functions as assigned by supervisor and manager.
• Ensure and promote compliance to company standards and guidelines.

• Perform daily operation for supply chain functions which includes shipping, packingreceiving, material handling, storage duties and distributing material from internal and external
• Handling the accompanying paperwork including data entry, filling and photocopying.
• Responsible for daily housekeeping of the store.
• Compliance with good knowledge of Integration.
• To carry out inventory stock taking management.
• Take part in the development of logistics / operation plans/projects.
• Identify and assess customers' needs to achieve satisfaction through reports by collecting and analysing.
• Perform other job-related functions as assigned by supervisor and manager.
• Ensure and promote compliance to company standards and guidelines.

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.

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-%28Soft-Electronics-and-Wearable-Systems%29%2C-DID/32490-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our lab in exploring the design, development, and applications of intelligent textiles and soft electronics. Our research integrates material science, digital fabrication, hardware systems, artificial intelligence, and computational design to advance smart textiles and wearable systems for various applications, including health and well-being, human-computer interaction, robotics, interactive media, and immersive environments. 

We are looking for candidates specializing in the following topics:

Soft/Textile Electronics
•    Research and develop flexible and soft electronics for integration into textiles, wearables, and electronic skin, including tactile sensors, actuation, and haptic devices.
•    Advance digital knitting, weaving, embroidery, sewing, and other textile-based fabrication techniques.
•    Characterize and evaluate electromechanical properties of soft systems.
•    Use simulation tools for design and modeling.
•    Implement and test developed devices for various applications.

Embedded Systems & Hardware Development
•    Design and develop miniaturized hardware systems for seamless integration of sensors, actuators/haptics, and computing into textiles and wearables.
•    Develop and optimize embedded systems, including firmware development.
•    Implement and test wireless and wired communication for distributed networks.
•    Apply AI/ML and deep learning techniques for analyzing dense multimodal data in real time.
•    Integrate system-level solutions for interfacing with computers, smartphones, or AR/VR technologies.

Candidates with expertise spanning both topics are highly encouraged to apply. They will collaborate across art, design, science, and engineering disciplines, contributing to cutting-edge prototypes, installations, performances, and innovations that bridge human, material, machine, and environment at various scales, from body to architecture, individual to societal.

How to Apply
Interested applicants should submit the following:
•    A cover letter outlining their interest in the position.
•    A CV detailing academic and professional history.
•    A portfolio showcasing relevant projects.
•    Contact details of at least two professional references.

Qualifications

Qualifications
Candidates should hold a Ph.D. in a relevant engineering and design field (electrical engineering, computer science, mechanical engineering, material science, industrial design, media arts) and meet some of the qualifications based on their specialization:
•    Experience in soft electronics, printed electronics, or flexible hybrid electronics or textile-based integration (knitting, weaving, embroidery, etc.).
•    Proficiency in soft device simulation and characterization.
•    Strong programming skills in C/C++, C#, Python, microcontroller, or AR/VR development.
•    Proficiency in PCB design tools and experience in miniaturized hardware design and wireless system integration.
•    Background in AI/ML for generative design, data analysis, or pattern recognition.
•    A great portfolio and publication record in areas related to soft technologies, human-computer interaction, wearable computing, or immersive environments.

Attributes
•    Independent, creative, and motivated with an interest for unconventional and experimental applications. Passionate in merging functionality with aesthetic sensibility.
•    Strong problem-solving skills, attention to detail, and ability to work collaboratively within a multidisciplinary team.

Job Responsibilities:

• Conduct research analysis, market intelligence and trend tracking for the residential and commercial sectors.
• Monitor macroeconomic and industry trends by compiling, preparing and managing high-quality market data for report analysis.
• Strong aptitude in research and data analytics with relevant experience working with statistical tools to interpret and analyze data.
• Write research reports and produce infographics for clients’ business needs.
• Prepare materials for presentations and support research training.
• Works across team units to support data and research needs.
• Assist in providing input for marketing and consultancy proposals.
• Keen to explore ways of disrupting data analysis with tech, machine learning / AI and/ or programming to keep abreast of emerging technologies and the fast-moving digital landscape.

Job Requirements:

• Min. Degree in Real Estate, Economics, Statistics, Business or related field, candidates with at least 2 years' experience in commercial markets preferred  
• Strong analytical skills with the ability to collect, organise, and analyse data sets with accuracy.
• Proficient in writing and statistics.
• Candidates familiar with Real Estate research will be of advantage.
• Meticulous and detail-oriented.
•  Excellent analytical, communication, interpersonal and presentation skills.
• Good command of written and oral English.
• Experience with machine learning/data modelling for data analysis, programming languages like Python, R, VBA and/or knowledge of Power BI, scripting, of JAVA is an added advantage.
•  Adaptable and independent in a dynamic environment, passionate about making a difference and having a growth mindset.

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%28Landscape-Studies-Urban-SociologyEnvironmental-Psychology-Human-Geography%29/32481-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities at the College of Design and Engineering is recruiting a full-time Research Assistant to join a research project to investigate the relationship between natural environment, perceptions and affordances, and motivations to use for health promotion purposes. The contract will be for 18 months with possible extension subject to funding availability.

Job scope:
1.    To undertake high-quality research in human and nature relationship for health promotion.
2.    To conduct systematic reviews relevant to human and nature relationship for health promotion.
3.    To conduct spatial study (field, desktop) and social studies (e.g., surveys, photo elicitation, focus groups).
4.    To manage and analyse qualitative and quantitative data.
5.    To contribute to the preparation of scientific manuscripts for peer-reviewed publication.
6.    To support the overall coordination of the research project. 

Qualifications

1.    Bachelor's with honours or master's degree in landscape studies, urban studies, environmental psychology, or other relevant disciplines.
2.    Ability to write and communicate in English as the candidate will need to publish papers in English journal.
3.    Have some experience conducting quantitative research (e.g., survey data collection, spatial analysis particularly in relation to urban spaces) and qualitative research (e.g., photo elicitation, focus groups).
4.    Experience in data management and analysis using geospatial software (e.g., QGIS) and statistical software (e.g., SPSS, R, or Phyton).
5.    Ability to work independently, demonstrate a good organisational skill.

Applicants should send the following documents during application:
•    Cover letter highlighting career goals and relevant experience
•    Curriculum Vitae, containing details of three named referees

Please note that only shortlisted candidates will be contacted.  

The anticipated start date for the position is 1 June 2026. We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found.

Job Description

This project aims to study ciliopathies such as Primary Ciliary Dyskinesia (PCD) and Polycystic Kidney Disease (PKD). By utilising human stem cell-derived models, the research seeks to further characterise these genetic disorders and evaluate potential treatments via gene therapy approaches.

• Maintenance of human pluripotent stem cell lines and multi-step directed differentiation to generate lung and kidney tissues, including the use of 3D organoids, air-liquid interface (ALI) cultures, and Flow Cytometry (FACS) for the characterisation and isolation of specific cell populations.
• Proficiency in core molecular biology techniques including cloning and PCR-based analysis for genetic characterisation.
• Production, titration, and application of viral vectors for gene editing and stable expression within differentiated cell models.
• Characterisation of ciliary morphology and protein localisation using multi-channel immunofluorescence and high-resolution confocal microscopy.

Job Requirement

• Academic Background: PhD or Master’s degree in Biomedical Sciences, Molecular Biology, Bioengineering, or a related life sciences discipline.
• Research Focus: Proven track record in stem cell biology or regenerative medicine is highly preferred.
• Professional Experience:For PhD holders: 0–3 years of postdoctoral experience

Technical Competencies

• Cell Culture Mastery: Extensive experience in maintaining human pluripotent stem cells (hPSCs) and performing directed differentiation.
• Tissue Engineering: Proficiency in 3D organoid culture and/or Air-Liquid Interface (ALI) models.
• Gene Editing & Virology: Hands-on experience with viral vector production (Lentivirus/AAV) and molecular cloning techniques.
• Analytical Techniques: Skilled in Flow Cytometry (FACS) for cell sorting and analysis.

Hwa Chong International School (HCIS) is a member of the prestigious Hwa Chong family of schools, drawing its core strengths from a century-old tradition of educational excellence and philanthropy. As a local international school, at least half of the student population is local, and the rest from over 20 countries.

HCIS is committed to providing an environment conducive to the continued growth and development of our staff.

EXPERIENCED INTERNATIONAL BACCALAUREATE TEACHER

• Computer Science Teacher (commence in June 2026)

Hwa Chong International School is looking for inspiring, passionate and committed teachers to explore a career with us.

Full-time teaching positions available for various subjects, refer to https://www.hcis.edu.sg/about-hcis/careers/.

Teachers may be required to teach various levels in the school’s six-year academic programme. Apart from teaching, teachers are expected to guide the students throughout the academic year in all areas of their holistic development. The incumbent will undertake planning and execution of various school activities throughout the year. As part of the school’s professional learning community, teachers are expected to contribute to teacher collaboration and resource development to value-add to the learning and development of students.

Requirements:

• A good degree in Engineering, Computer Science, Computer Engineering or related from an established University and possess teacher training qualifications, e.g. Post-graduate Diploma in Education
• At least 4 years of teaching experience in the IB Diploma Programme or at pre-tertiary levels would be a distinct advantage
• Preferably certified in IBO Workshop Category 1, 2 or 3.
• Self-motivated and passionate about educating students
• Able to multi-task and work independently
• Salary commensurate with experience
• Interested applicants to send resume to recruitment@hcis.edu.sg. Only shortlisted candidates will be notified.

This position will have responsibility for providing process support and installation of new plasma etch / clean / deposition systems at customer sites. This includes design, evaluation and documentation of process window for new installations or Lam recommended field hardware modifications / upgrades.

1. Work closely with Account team and customers to understand customer technology roadmaps, process flow, inflection points, requirements and business issues / challenges. Identify areas where Lam is able to value-add.
2. Work with Account team and customers to execute to penetration and defense strategy, including coordinating with Global Product Group on product demonstration
3. Perform startup of “capacity add” Lam systems i.e. match results to existing systems and applications
4. Design and complete simple DOE evaluations to characterize process window for new installations or Lam recommended field hardware modifications / upgrades
5. Conduct experiments and tests, collect and analyze data and generate reports for both internal and external distribution
6. Develop new processes to new and/or existing customer applications
7. Professionally represent the company to the customer. Utilize knowledge of company’s product lines and service to keep existing / potential customers informed when new/additional needs are identified
8. Develop good customer relations during start-up and trouble-shooting
9. Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
10. Ensure safe working condition at work site
11. Any other duties as assigned by the Immediate Supervisor

Job Requirements:

1. Engineering degree or Bachelor of Science (in Chemistry / Physics) or equivalent
2. Systematic and has an analytical mind
3. Good communication and interpersonal relations skill
4. Able to actively engage customers on technical solutions
5. Able to work in Fab environment and perform standby duties

This position will be responsible for providing quality repair and carrying out preventive maintenance service of etch / clean / deposition equipment at customer sites. Other activities include installation, relocation of customer equipment, performing associated start-up and check-out activities.

• Install and/or relocate equipment at customers’ sites. Conduct associated start-up, cut over and check-out activities on the newly installed systems
• Provide warranty tool support or paid service for out-of-warranty tool by performing on-site general preventive maintenance of equipment and attending to equipment abnormalities. Co-ordinate all service actions with customer to minimize downtime or system interruptions
• Apply troubleshooting techniques to eliminate equipment malfunctions. Conduct diagnostic procedures to isolate problem. Assess severity of malfunctions and determine corrective actions required or escalate for assistance and prompt resolution. When necessary, replace defective units, components or parts where appropriate
• Liaise and co-ordinate with customers in relation to short-term defect work
• Implement field modifications or updates as released in Engineering Change Orders (ECOs) which may involve removal and installation of assemblies, sub-assemblies, systems and subsystems
• Carry out Tier 2 process qualification work
• Prepare and maintain accurate logs, service records, part usage documentation, diagnostic updates and other management reports
• Professionally represent the company to the customer. Utilize knowledge of company’s product lines and services to keep existing / potential customers informed when new/additional needs are identified
• Develop good customer relations during installation and execution of service contracts
• Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
• Ensure safe working condition at work site
• Any other duties as assigned by the Immediate Supervisor

Job Requirements

• Engineering degree or equivalent
• Good communication and interpersonal relations skill
• Able to actively engage customers on technical solutions
• Able to work in Fab environment and perform shift & standby duties
• Must be able to wear personal protective clothing which comprises of air respirator equipment, clean room garments and safety shoes
• Willing to support short term, overseas assignment