Total 145 quality control engineer job vacancies in Education / Training category

Research assistant in “Quantum computing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new quantum algorithmic solutions based on Riemannian geometry.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a different approach are the right one when executing on Helios or Heron. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Perform quantum compilation optimizing towards successful execution on quantum hardware.

• Support research on quantum algorithms by performing auxiliary data processing tasks.

• Analyze prospects of new research directions

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• At least 1 years of relevant experiences in research on quantum computing, e.g. final year project

• Excellent written and oral communication skills

• Proficiency in material covered by Nielsen and Chuang’s textbook

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

The Financial Services ARM is responsible for the quality of enhanced due diligence reports produced for financial services clients. He/she will be responsible for a team of researchers to ensure that they produce clear, analytical and exceptionally well-written reports which help financial services Clients in the Asia Pacific region meet compliance and regulatory requirement.

He/she will be responsible for a range of tasks, including conducting scoping research, preparing proposal drafts, engaging with financial services clients to understand their requirements and answer follow up questions, managing enhanced due diligence reports to support major banking transactions such as IPOs and debt issuance, conducting desktop research and discreet interviews himself/herself, and reviewing and finalizing the reports drafted by junior researchers. He/she will also be responsible for overseeing the professional growth and development of his/her team members, and providing guidance and training to their work. He/she will support the work of his/her line manager in training managing internal and external resources in order to complete enhanced due diligence projects for financial institutions in a timely and effective manner

Project management of enhanced due diligence assignments for financial services clients

• Ensure that the enhanced due diligence reports produced by Scaled Diligence for its financial institutions clients are properly scoped, allocated to researchers, tracked and ultimately delivered on time and within budget
• Assist in the proposal process, conduct scoping research, and communicate with clients to understand their requirements
• Manage projects of varying scale, finalize reports and organize research team in answering following up questions from financial institution clients
• Communicate directly with the clients, which primarily include members of the compliance or internal control departments of financial institutions, in order to clarify the scope of projects, address questions, and suggest potential additional avenues of research
• Review and approve (content and editorial) enhanced due diligence reports, ensuring projects are of high quality and meet Clients’ specifications
• Conduct research into specific topics and issues and draft summaries and findings in situations where contentious issues arise, either as part of a team or independently, depending on the requirement of the situation
• Liaise with and provide feedback to vendors and subcontractors, ensuring the quality of work they provide is high and adheres to our global delivery standards
• Engage with colleagues across Control Risks to address client queries

People Management

• Manage a team of researchers or senior researchers
• Define, for each team member, objectives and responsibilities in line with the practice goals
• Conduct performance reviews
• Ensure well-being and professional development of staff
• Support his/her line manager in recruiting new researchers

Regional research initiatives

• Interact regularly with researchers, supervisors, managers, and the Quality Assurance team to provide support and feedback on Scaled Diligence work
• Participate in discussions with other members of the Scaled Diligence team on potential service/product improvement

Essential

• Education to degree level (minimum of a bachelor’s or equivalent experience)
• 3 to 5 years of experience in executing and managing enhanced due diligence projects for financial institution clients, in particular pre-IPO due diligence projects
• Good understanding of the requirement of financial institutions clients in APAC, including research methodologies, work scope, timeline, and special requirements
• Experience engaging with financial services clients regarding due diligence assignments, and organizing research teams to address follow up questions from the clients
• Full fluency in written and spoken Chinese and English is essential
• Experience in writing, researching and reviewing/editing due diligence reports; demonstrated excellence in research, writing and editing in Chinese and English
• Strong knowledge of research techniques, databases, networks, online registers and archives and other OSINT research tools
• Proven ability to meet project deadlines and perform well under pressure  

Preferred

• Experienced working in a capacity similar to that of a Research Supervisor in a due diligence or investigative research firm
• Strong knowledge of the socio-political environment in greater China

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
• We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
• Control Risks supports hybrid working arrangements, wherever possible, that emphasise the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.
• Working with our clients, from day one our people are given direct responsibility, career development and the opportunity to work collaboratively on fascinating projects in a rewarding and inclusive global environment.
• The Company is committed to further its diversity, inclusion and equity agenda and as an employee you have access to various business resource groups in the Company including the Company's LGBT+ network called MOSAIC, the Women's Network, and Synergy - a people network to celebrate and promote ethnic diversity at Control Risks

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.

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

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

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

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

Key Responsibilities:

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

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

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

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

• Good written and oral communication skills

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

• Entry level candidates are welcome to apply

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Engineer I / Research Engineer II (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

You will be part of a dynamic research team working on topics relevant to Electrification, Grids Testing and Certification based at the Electrification and Power Grids Centre (EPGC). The Testing & Certification team focuses on establishing capabilities and physical test setups to support emerging industry requirements for testing and verification of energy related applications such as energy storage systems (ESS), microgrid solutions, photovoltaic (PV) inverters, electric vehicle (EV) charging systems, and AI data centers.  This position is to recruit a member of the research team to work on a project on microgrid cybersecurity and digital twins.

Key Responsibilities:

• You will need to actively support R&D projects at EPGC in terms of project development, testing and verification/validation activities, test logistics planning/coordination, and sourcing and procurement.

• The role will include the following:

  • Assist in development of digital twins of power system networks, control/energy management systems and DERs such as ESS, PV and EV chargers.

  • Perform testing of microgrid solution and/or power system network using real-time simulation platform.

  • Familiarization of test standards for microgrids, ESS and EV charging; understanding of existing test procedures and processes.

  • Hands-on setup of test instrumentation; conducting tests on actual equipment-under-test.

  • Prepare project reports, minutes of meetings and documentation.

  • Work closely with industry partners to realize synergies in testbeds, testing and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners.

  • Assist in authoring of technical publications for completed or ongoing research projects.

  • Host visits and presentations at test facility.

• You will also be responsible for daily operations of the EPGC facilities, including the following:

  • Lead in test planning/coordination activities at EPGC facility or collaborators’ locations.

  • Work with vendors/suppliers/contractors to ensure operational condition of test equipment/systems.

  • Perform safety and quality assessments, periodic operation and inspection tasks related to test setups.

  • Sourcing and procurement of project/facility consumables.

• You will be an integral part of the Testing & Certification team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred.

• Prior experience in OPAL RT simulation platform would be advantageous.

Job Requirements:

• Master’s degree in engineering (e.g. Electrical, Power Systems, or Clean/Renewable Energy related) with minimum 2 years’ relevant experience (preferred).

• Proficient in OPAL RT, MATLAB, familiarity with microgrid/ESS/EVSE technical standards, and cybersecurity technical standards preferred.

• Proficient in MS Office applications.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills. Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team.

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

PLC/SCADA Associate Engineer 
Salary: $3200
Working Days: 5 days, 8.30am to 5.50pm
Location: Bedok, travelling to site required 

Job Scope:

• Responsible for integration and implementation of both hardware and software engineering work
• Carry out proper planning, execution and supervision of the integration work and do QA technical checks throughout the project execution
• Handle application programme change management, hardware deployment management and documentation
• Implementation of PLC/SCADA project from concept to design and programming
• Interface with SCADA and PLC programming
• Meeting with clients, doing reports and documentation
• Perform troubleshoot independently

Requirements:

• Diploma in Electrical/Electronic or related discipline
• 1-2 years of experience or some knowledge in PLC and SCADA
• Site maintenance and travelling around SG for site maintenance is required

Email: supreme.jacksontan@gmail.com

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools,.
• Write and publish research papers and present them to reputable academic conferencesd.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science / Information Technology / Security /Informatics Engineering / Software Engineering.
• Publication of at least a first-authored paper in a top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A*conference / journal in the field of AI or software engineering or cybersecurity.

#LI-JN2

The Future Communications Translation Lab (FCTLab) at the Singapore Institute of Technology (SIT) is seeking a motivated candidate who is keen on both rigorous research and the practical application of 5G and future communication technologies. As part of the research team, you will collaborate with faculty and industry partners to drive innovation in 5G systems and their real-world use cases. Equipped with private 5G testbeds and advanced test and measurement instruments, FCTLab provides an ideal environment to develop, validate, and refine next-generation communication technologies while accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases.

Key Responsibilities

• Operate and maintain FCTLab’s 5G infrastructure, including O-RAN testbed, traditional RAN testbed, and open-source 5G testbeds.
• Design and execute experiments to evaluate 5G systems and use-case performance through simulations, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements.
• Prototype and validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities.
• Work closely with the Principal Investigator (PI), Co-PI, faculty and research team to plan, track, and deliver project milestones. Collaborate with industry partners to support real-world trials and joint research initiatives.
• Prepare technical reports and publications. Provide training and guidance to students and other researchers on 5G testbed operation, integration and performance testing.

Job Requirements

• Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field.
• Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing.
• Hands-on experience in deploying, configuring, testing and optimizing 5G systems is preferred.
• Experience in developing xApps and rApps is an advantage.
• Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash).
• Strong programming skills in Python or C++.
• Excellent analytical, technical, and problem-solving skills.
• Strong communication skills and technical writing for reports and publications.
• Self-motivated, team-oriented, and able to work independently with minimal supervision.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Job Description

Be part of an exciting FAB Operations Team working on cutting-edge process technologies.

Job Responsibilities:

• Looking for reliable individual - Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested. Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Job Requirements:

• Diploma/Degree in MicroElectronics/Electrical/Mechanical/Chemical Engineering or equivalent.
• Understanding on semiconductor process - at least 1-3 years of experience in semiconductor processes (Photolithography, Dry/Wet Etch/Cleans, ThinFilms, Diffusions, Chemical mechanical Polishings, Metrology etc.)
• Must be a self-starter, dependable and highly motivated.
  
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  Registration No: R1327268
  D-Rec-00083
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Role

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing advanced AI models for tasks such as transformer based foundation models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

How your work moves the mission forward

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design and implementation of core perception software skills within Intrinsic's platform.

Skills you will need to be successful

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
• 1-3 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models.
• Demonstrated experience with deploying deep learning models in production, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.

Skills that will differentiate your candidacy

• Expertise in transformer-based deep learning architectures for computer vision and robotics.
• Experience with optimizing or quantizing ML models for deployment
• Experience developing algorithms for robotic perception, grasping and/or manipulation.
• Proficiency in CUDA for high-performance computing.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Digital-Concrete%29/32503-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The selected RE is required to work on 
•    Development of durable construction materials from locally available resources for marine applications.
•    Assessment of environmental impact of the developed concrete mixture.
•    Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

•    Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment.
•    Has the ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings.
•    Due to an international working environment, strong written and spoken communications skills will be required. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

Job Description

The National Quantum Federated Foundry (NQFF) is seeking a research engineer to join a multidisciplinary team developing essential quantum hardware and device components. The candidate will join our efforts spanning multiple quantum technology platforms ranging from trapped ions to integrated photonics and superconducting devices.

About the role

You will be embedded in a team of research scientists and engineers, contributing hands-on to the development and characterisation of quantum hardware. Based on your strengths and experience, your work will be shaped around one or more of the following focus areas:

• Device Fabrication & Engineering — Perform device fabrication and support the development and optimisation of the processes: this may include cleanroom-based nanofabrication work, electrical assembly (wirebonding, soldering, etc), and prototyping (machining, 3D printing, etc).
• Optical & Photonics Engineering — Perform optical & electrical characterization of photonics devices; construct and maintain optical measurement setups for device testing; data analysis and feedback towards improved device designs.
• Cryogenic Systems & Measurements — Set up, operate, and maintain cryogenic systems (incl. dilution refrigerators, cryostats); integrate and test quantum devices at (down to) millikelvin temperatures; develop automated testing workflows, acquire and analyse experimental data.

What we’re looking for:

• Bachelor’s degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or a related discipline.
• Hands-on laboratory experience relevant to one or more of the focus areas above
• Familiarity with experimental data acquisition, analysis, and presentation
• Strong communication skills and a collaborative working style

Experience in any of the following would set you apart:

• Optical setups and laser systems
• Electrical/RF electronics and associated test equipment
• Cleanroom nanofabrication
• Mechanical design with CAD software
• Programming (especially in Python) lab equipment for testing automation

About NQFF:

The National Quantum Federated Foundry (NQFF) is a national quantum programme supporting Singapore's quantum R&D ecosystem and industry partners. Functioning as a research foundry, NQFF covers the full device development cycle — from design to fabrication and characterisation — with the goal of translating next-generation quantum devices towards real-world applications.

NQFF is hosted at A*STAR IMRE, with teams operating across A*STAR IME and the National University of Singapore (NUS).

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.

We are hiring a Training and Quality Assurance Manager to lead staff capability development, service quality standards and continuous improvement across our wellness and traditional therapy outlets in Singapore.

Key Responsibilities:

- Design, implement and review training programmes for service staff, outlet teams and supervisors.

- Develop training materials, SOP guides and service quality benchmarks to support operational consistency.

- Conduct staff assessments, coaching sessions and refresher training to improve service performance.

- Monitor customer feedback, service quality indicators and operational compliance standards.

- Perform outlet audits and identify areas for improvement in service execution and customer experience.

- Work closely with management and outlet leaders to strengthen service quality, team discipline and customer satisfaction.

- Support onboarding and structured skills development for new employees.

- Prepare training reports, quality review findings and improvement recommendations for management.

Requirements:

- Strong ability to develop SOPs, training systems and quality monitoring processes.

- Good leadership, coaching and communication skills.

- Strong organisational skills and attention to detail.

- Experience in service, hospitality, healthcare, wellness or retail operations will be an advantage.

- Ability to support a multi-outlet environment and continuous improvement initiatives.