Total 1,384 science rd research job vacancies in Hong Kong

Job Purpose

The Research Fellow / Research Engineer (with focus on Healthcare Design and Business) will support applied research and innovation in community and allied health by translating health-related workflow needs, user insights and business requirements into practical service-design outputs, implementation plans, value propositions and evidence reports. The role focuses on healthcare design, business scoping, project coordination and implementation support for healthcare projects.

This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of health-related workflows and experience coordinating project implementation with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical design, business and implementation outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment, user research, service-journey mapping and workflow analysis for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop healthcare service-design concepts, business requirements and implementation roadmaps for organisational transition, focusing on but not limited to caregiver workload reduction, care-process redesign, adoption planning and care automation support.
• Support healthcare innovation projects by coordinating user feedback, pilot planning, implementation activities, data collection and outcome documentation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand workflow pain points, user needs, business requirements and implementation constraints, and contribute to practical solution development.
• Assist in project scoping by gathering workflow, design, business and implementation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned healthcare design, business and implementation workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate project reports, presentations, service maps, user-journey documentation, business-case inputs, implementation trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned design, business, implementation documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — Healthcare Design and Business: conduct user and workflow research; prepare service maps, implementation plans, business-case inputs and value-capture documentation; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate workflow and business insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Health Sciences, Nursing, Healthcare Management, Design, Business, Service Design, Biomedical Engineering, Clinical Research or related disciplines with relevant experience in healthcare design, business scoping, project implementation or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., service design, business model development, commercialisation, care automation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare design, service redesign, business scoping, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Healthcare Design and Business role, relevant experience in health-related workflow analysis, user research, service design, business scoping, implementation planning, stakeholder engagement, value proposition development, benefits tracking or equivalent design/business methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of healthcare design, business and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in healthcare design and business, including workflow analysis, user research, service mapping, business scoping, implementation planning, benefits tracking and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned design, business, implementation and project outcomes toward the overall KPI commitments.

Job Purpose

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

Key Responsibilities

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

Job Requirements

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

Key Competencies

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

Job Purpose

We are a multi-disciplinary design team that uncovers opportunities and challenges others overlook, solving them with bold, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We don't just showcase technology, we champion it. Acting as the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action.

Key Responsibilities

• Lead end-to-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design
• Conduct user research, usability testing, and interviews to uncover insights that inform design decisions
• Produce high quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.
• Support the design and development of physical products from early concept through to final production
• Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and communicate with stakeholders.
• Work on projects that spread across product development, print, packaging, video storytelling, brand identity, and interactive projects for screens, devices, and space.
• Build physical and digital models and prototypes to explore and validate design directions.
• Align with proposed design direction and bring in the voice and emotion to the project through thoughtful features and initiatives.
• Bring both a strategic eye and a depth of craft in brand and communications design to the project teams.
• Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration into the organization and our partners.
• Assist in creating prototypes of different levels of fidelity to help enhance the design direction for a project. Applied Research and Innovation

Job Requirements

• Minimum 2 years of experience in Industrial design or UI/UX design, with a strong portfolio demonstrating end-to-end design thinking
• Degree in Industrial Design, Product Design, Interactive Design or related field.
• Solid understanding of user-centered design principles, interaction design, and visual design fundamentals
• A collaborative mindset with the ability to give and receive constructive feedback
• Experience working within agile or iterative product development environments is a plus
• Proficiency in design tools such as Figma, Adobe XD, or equivalent
• Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360
• Familiarity with rendering tools such as KeyShot, Blender, or similar.
• Ability to spark ideas and generate fresh concepts and inspire peers.
• High proficiency in Adobe Photoshop, Illustrator and other Adobe Suite Tools.
• Excellent drawing skills with a creative mind to bring new perspectives to the design.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

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/Senior-Research-Fellow-%28%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clock-Laboratory%29/33440-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

Learn more about CQT at https://www.cqt.sg/

Job Description

The Barrett group at CQT is the world's leading laboratory developing ¹⁷⁶Lu⁺  as an optical clock species. Lutetium-176 offers exceptionally low sensitivity to blackbody radiation shifts and a highly favourable systematic
uncertainty budget, making it a compelling candidate for next-generation optical timekeeping. Our programme isactively pushing towards multi-ion clock architectures — including linear ion crystals and multiplexed trap arrays —to surpass the quantum projection noise limits of single-ion operation and achieve unprecedented clock stability atshort averaging times. A key aim of the programme is to translate this technology into a commercialisable turnkeysystem for deployment at Singapore's National Metrology Centre (NMC).

We are seeking an exceptional Senior Scientist to lead experimental research within our ¹⁷⁶Lu⁺ optical clockprogramme at the Centre for Quantum Technologies (CQT), Singapore. This is a senior individual-contributor
position at the cutting edge of precision quantum metrology, with direct impact on international timekeeping,tests of fundamental physics, and Singapore's national measurement infrastructure.The successful candidate will drive original research, take ownership of key experimental subsystems, mentor junior researchers and graduate students, engage with industry and national metrology partners, and contribute to the long-term scientific and translational roadmap of the laboratory.

Key Responsibilities

• Lead the design, development, and operation of ion trap systems for ¹⁷⁶Lu⁺, including the engineering of novel trap geometries suited to multi-ion clock operation..
• Drive the experimental realisation of multi-ion clock configurations: ion crystal preparation, laser cooling, and correlated interrogation schemes for stability beyond the standard quantum limit.
• Develop and maintain ultra-stable laser systems and optical frequency infrastructure, including cavity-stabilised clock lasers and optical frequency combs.
• Contribute to optical frequency comparison and dissemination capabilities, including fibre-link and satellite-based clock comparisons.
• Work closely with local industry and metrology partners to develop a commercialisable turnkey ¹⁷⁶Lu⁺ clock system suitable for implementation at the A*STAR National Metrology Centre (NMC).
• Mentor postdoctoral researchers and PhD students; contribute to grant applications, scientific reporting, and laboratory operations.

Required Qualifications

• PhD in Physics with specialisation in AMO physics, precision metrology, or quantum information science.
• Demonstrated track record of high-impact independent experimental research evidenced by peer-reviewed publications.
• Hands-on expertise in ion trapping: rf Paul traps, trap fabrication or characterisation, micromotion compensation, and laser cooling of atomic ions.
• Proficiency with ultra-stable laser systems: cavity-stabilised lasers, laser locking, optical frequency chains, and electro-optic/acousto-optic control.
• Strong experimental skills in ultra-high vacuum technology, optical design, and precision rf and digital electronics.
• Excellent written and oral communication skills with the ability to present complex results to both specialist and general audiences.

Preferred Experience

Cryogenic ion traps

Experience operating ion traps at 4 K or below, including pulse-tube or dilution refrigerator integrationand cryogenic rf delivery.

Multi-ion architectures

Ion crystal formation and control, mixed-species crystal operation, or multiplexed trap-array design and characterisation.

Optical frequency metrology

Optical frequency comb operation, absolute frequency measurement, or fibre-based optical clock comparison and dissemination.

Experimental automation

Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.

Additional Information

What we offer:

• Competitive, commensurate with experience.
• Dedicated equipment & travel allowance.
• World-class research hub at the NUS campus in Singapore.

To apply, please submit a CV, a research statement describing your relevant expertise and vision for the Lu+ clock programme (max 2 pages), and the names of three referees. Applications are reviewed on a rolling basis — early submission is encouraged. Inquiries should be directed to Prof. Murray Barrett at phybmd@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-Assistant-%28Relative-smooth-optimization-theory%29/33396-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a BSc. in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms  
2.    stochastic process and stochastic approximation methods

In particular, as this is a research assistant position for only 1 year. The applicant should be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

As we plan to apply our methodologies to the training and tuning of language models, it will be an advantage if the applicant has related experience. 

Job Description

•                    Ensures proper investigational product (IP)management which includes sourcing, receipt, storage, preparation, dispensing,labelling, inventory accountability, reconciliation, retention, destruction anddocumentation according to the study protocol

•                    Assists Clinical Research Technologists inmaintaining proper functioning of all pharmacy equipment.

•                    Reviews and provides feedback during protocoldevelopment where applicable

•                    Reviews and updates Pharmacy local standardoperation procedures as appropriate

•                    Provides coaching to Locum Pharmacists andPharmacy Technicians/Assistants as needed on IP management and asepticcompounding

Requirements

•                    Singapore Registered Pharmacist

•                    Previous Hospital Pharmacy Experience

•                    Experience in working in cleanroom ormanufacturing setting

•                    General GMP and GDP knowledge

Interested candidates please send in your resume to:

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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-%28Multi-ion-%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clocks%29/33452-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

Learn more about CQT at https://www.cqt.sg/

Job Description

Single-ion optical clocks are among the most precise instruments ever built — yet they are fundamentally limited by quantum projection noise. The next frontier is multi-ion operation: entangled and correlated ion crystals that deliver the stability of many atoms with the systematic control of a single trapped ion. Our group at CQT is pioneering this approach with ¹⁷⁶Lu⁺ , a species with uniquely low sensitivity to environmental perturbations. This postdoc offers the rare opportunity to work at the intersection of precision metrology, many-body quantum physics, and real-world timekeeping infrastructure.

Key Responsibilities

• Prepare and characterise multi-ion ¹⁷⁶Lu⁺ crystals in a linear Paul trap, developing robust protocols for ion loading and cooling.
• Implement and refine correlated clock interrogation schemes — Ramsey spectroscopy and spin-echo sequences — on ion ensembles to suppress noise below the standard quantum limit.
• Develop quantum state preparation and readout techniques optimised for multi-ion clock operation, including high-fidelity fluorescence detection of large crystals.
• Characterise and suppress collective systematic shifts in multi-ion configurations, contributing to a rigorous uncertainty budget for the ¹⁷⁶Lu⁺ clock transition.
• Explore entanglement-assisted sensing protocols and their practical implementation in a metrological context.
• Contribute to publications, conference presentations, and the broader activities of the CQT Lu+ clock programme.

Qualifications

• PhD in AMO physics, quantum optics, or a closely related field, completed or near completion.
• Hands-on experience with ion trapping, laser cooling, or precision spectroscopy in an experimental AMO setting.
• Familiarity with coherent control techniques: Ramsey spectroscopy, motional sideband manipulation, or quantum gate operations on trapped ions.
• Strong experimental instincts — ability to diagnose and solve complex technical problems independently.
• Experience with Python-based experiment control or real-time digital feedback systems is advantageous.
• A track record of research output commensurate with career stage.

Additional Information

What we offer:

• Competitive NUS postdoctoral salary.
• 2+1 years, renewable based on performance
• World-leading AMO group at the NUS campus.

To apply, please submit a CV, a brief cover letter (1 page) describing your relevant experience and motivation, and the names of two referees. Applications are considered on a rolling basis. Inquiries should be directed to Prof. Murray Barrett at phybmd@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-%28Relative-smooth-optimization-theory%29/33458-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

NOTE: This grant contains 2 research fellow positions, while each job posting will create 1 job. Thus, there will be 2 identical jobs posted. Please submit your applications to both of the posts. 

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Energy Research Institute @ NTU (ERI@N), established in 2010, has exceled in developing and delivering research relevant to industries. The institute integrates research across different schools within NTU to address energy challenge and subsequent translate into industrial scale and practices.

SCARCE (Singapore CEA Alliance for Research in Circular Economy) - a joint collaboration between NTU (Singapore) and CEA (France) – under ERI@N focus on recycling of electronic waste. One of the research thrusts is recycling of silicon solar panels and recovery of embedded materials – focusing in developing effective and efficient recycling pathway for the growing silicon solar panel waste

Energy Research Institute @NTU invites applications for the position of Project Officer to work on recycling of silicon solar panels. The role will focus on the hydrometallurgical processing of metals and silicon, including their dissolution and recovery, as well as supporting process scale-up activities

Key Responsibilities:

• Conduct comprehensive literature reviews and provide periodic updates on developments of hydrometallurgical approaches for recycling solar panel waste

• Perform and optimize hydrometallurgical processing of solar grey mass at both laboratory-scale and large-scale, along with electrorecovery of valuable materials

• Analyse metallic concentrations in leachate solution and conduct material characterisation on residues or solar grey mass (e.g. ICP-OES, SEM/EDX, particle size analyzer)

• Participate in collaborative work with team members and external collaborators, including preparation of technical reports, videos, manuals and presentation of results

• Assist with laboratory logistics, administrative tasks, and coordination of project-related activities to ensure smooth operations

Job Requirements:

• Bachelor in chemistry/chemical engineering/material science or related fields is required.

• Familiarity with material characterization techniques such as SEM-EDX, XRD, ICP-OES would be advantageous.

• Hands-on experience in electrochemical analysis techniques would be advantageous.

• Entry level candidates are welcome to apply

• Willingness to learn, with adaptability and flexibility to take on tasks beyond the job description

• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources

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

Join the Dream Team & Discover the Champion in You!

It's time to bring your career to greater heights!

MindChamps’ rapid growth & expansion globally provides you with a world of opportunities!

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.

• Guide primary school children (primary 1 to 6) to ensure completion of daily homework

• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.

• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.

• Maintain and build relationships with children and parents.

• Conduct MindChamps unique enrichment programmes.

• Being an inspiring role model with a creative spirit and a champion (positive) mindset.

• Ensure safety and timely transfer of students from school to student centre

• Ensure safety of children within the premises

• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

• Able to teach primary school subjects

• Possess good communication and classroom management skills.

• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.

• Creative and loving energy with a positive disposition

• Excellent communication and classroom management skills

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.