Total 2,192 Science / R&D / Research job vacancies

What you'll be doing

• Ensure routine inspection, calibration, and maintenance of laboratory equipment in accordance with quality control and regulatory standards.

• Perform quality control checks, verify laboratory results, and resolve discrepancies in test outputs.

• Maintain accurate documentation for equipment calibration, preventive maintenance, and validation records.

• Manage inventory of laboratory equipment, consumables, reagents, and supplies to support ongoing study and operational needs.

• Ensure proper handling, storage, and usage of laboratory chemicals and reagents.

• Support planning of study-specific laboratory equipment requirements.

• Work closely with internal lab systems and operations teams to ensure equipment and systems remain validated and compliant prior to use in studies.

• Liaise with external vendors for equipment servicing, maintenance, and supply management.

• Collaborate with clinical research teams and external partners (e.g. contract laboratories) to ensure smooth execution of study activities.

• Support training of new clinical research technologists and assist in developing training materials and SOPs.

• Foster effective communication and teamwork within the laboratory operations team.

What we're looking for

• Diploma in Sciences

• Experience in clinical research laboratory operations, biomedical science, or medical laboratory technology

• Familiarity with laboratory equipment calibration, maintenance, and quality control processes

• Understanding of regulatory requirements such as ICH-GCP and laboratory quality standards

• Experience in clinical trial or regulated laboratory environments preferred

• Strong attention to detail and documentation accuracy

• Ability to work with multiple stakeholders including internal teams and external vendors

• Good communication and teamwork skills

• Ability to work in a structured, compliance-driven environment

Interested applicants, kindly furnish us with your full and detailed resume in MS Words format and click "Apply Now" button.

We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. 

JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.

JOBSTUDIO PTE. LTD.

EA License No: 10C4754

EA Personnel: Ryan Tan En Long

EA Personnel Reg No: R25158265

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/32554-en_GB/?st=B4F0BB890E1B2C104B997DC78512E046CAC5DE27

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Toh Kim Chuan on methods for convex relaxations of polynomial optimization under a project on "Methods for nonsmooth nonconvex optimization".

The main responsibilities of the position include the followings: 
•    Conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured polynomial optimization problems.
•    Conduct simulations and experiments to validate established theoretical results and evaluate the performance of the proposed algorithms.
•    Prepare technical reports, research papers, and presentations for academic conferences and journals.
•    Work closely with faculty members, postdocs, and PhD students on research projects.

Qualifications / Discipline:  
•    Graduating PhD or recent PhD holder specializing in computational optimization. 

Skills: 
•    Advanced knowledge on optimization theory and algorithms at PhD level is required, especially strong theoretical and numerical understanding of advanced polynomial optimization algorithms for matrix polynomial optimization 
problems.
•    Proficiency in Python or Julia, Matlab for algorithmic implementation. 
•    Good academic writing and presentation skills for publishing research findings.
•    Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience:   
•    At least 2 years of independent research experience in the analysis of convex relaxations for polynomial optimization problems.
•    Demonstrated research and intellectual ability, such as having published research papers in premier optimization journals related to the job requirements.  

The candidate will be involved in IC product development and verification which could include one or more of the following areas:

• Analog circuit design from architecture to transistor level, post extraction verification and design modifications to meet requirements
• Digital logic design, verilog coding, logic synthesis, both RTL and gate level verification, formal verification and static timing analysis as well as place and routing.
• Full chip analog or digital mixed signal verification
• Layout high speed, high performance analog/mixed-signal custom integrated circuits
• Product validation including post silicon validation planning, execution, and post silicon issue debugging

Requirements

• Bachelor of Science degree in Electrical Engineering (or related field) +8 years of analog/mixed signal IC design, verification, layout and validation experience or
• Master of Science degree in Electrical Engineering (or related field) +6 years of analog/mixed signal IC design, verification, layout and validation experience or
• PhD in Electrical Engineering (or related field) +3 years of analog/mixed signal IC design, verification, layout and validation experience
• Proficiency in English

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are looking for a battery scientist to develop battery management system.

Key Responsibilities:

• Electrochemical process on interface phenomena

• Battery testing under different conditions

• Simulation of scaled up process.

• Interface with machine learning group on data base set up

• Battery safety testing

Job Requirements:

• Candidates with strong background in Materials Chemistry/Physical Chemistry.

• Experience with energy storage system or electrochemical system (Batteries)

• Ph.D in chemistry/ Materials Science/physics

• encourage initiating activities on battery development, devising, and analytic process

• experience on machine learning will be preferred 

• Good oral and written communication skills.

• Candidate with strong publication/patent records will be preferred

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

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

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an Office Administrative Assistant. This role is based in Singapore, reporting to our SG Office Manager. In this role you will be responsible for supporting all aspects of our growing team of traders, researchers, and technologists. The role will suit an individual who is self-motivated and is able to adopt a methodical, logical, and creative approach to new challenges.

Responsibilities:

• Greeting visitors
• Managing meeting room bookings
• Answering and directing phone calls
• Ordering office and pantry supplies
• Upkeep of office tidiness
• Booking and managing travel arrangements
• Coordinating onboarding setup for new hires
• Assisting overseas visitors (seating, access, etc)
• Coordinating office meals
• Assisting in special events (office outings, trainings, etc)
• Assisting in office renovation projects

Requirements:

• 10-15 years of experience in administrative support or similar roles in a large and established organisation  
• Excellent organisational and time management skills, with the ability to multitask and prioritise effectively  
• Strong written and verbal communication skills 
• Proficient in Microsoft Office Suite and other relevant software tools 
• Ability to handle confidential information with integrity and discretion 
• Self-motivated, with the ability to work independently with minimal supervision  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

R&D Specialist 

• Location: Tuas, Company Transport / Transport Allowance $120 if candidate possess own vehicle to work
• Basic: $5000 to $5500
• Working hours: Monday to Friday (8am to 5pm)

Requirements

· Ph.D in Chemistry or Chemical Engineering with more than 5 years of experiences in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry.

Responsibilities

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.
• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.
• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.
• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).
• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.
• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.
• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.
• Support evaluation and development of handling procedures for high-risk and high-value waste streams.
• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.
• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Reg No: R2412474

Job Description & Responsibilities:

• Design, develop, and test New CNC controller software and hardware.
• Select New CNC Controller from different makers.
• Integrate CNC controllers with various machine tools and equipment.
• Develop and optimize motion control algorithms for precision machining.
• Collaborate with cross-functional teams to ensure seamless integration and functionality.
• Troubleshoot and resolve issues related to CNC controllers and machine performance.
• Ensure compliance with industry standards and safety regulations.

Job Requirements:

• Minimum Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or relevant discipline.
• At least 5 years of experience in CNC controller development, programming, and integration.
• Experience with motion control, servo systems, and feedback devices.
• Hands‑on experience using NC cycles and providing technical solutions to users.
• Basic knowledge of electrical design and a solid understanding of electrical circuits.
• Specialized training or certification in CNC controller development is an advantage.
• Experience working with multi‑axis CNC machines and advanced motion control algorithms.
• Prior experience developing user interfaces for CNC controllers.
• Proficiency in programming languages such as C/C++/C# and PLC programming.
• Strong understanding of CNC machine architecture and control systems.
• Familiarity with communication protocols (e.g., Ethernet IP, Modbus).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Ability to work independently and collaboratively in a fast‑paced environment.
• Comfortable working in a manufacturing environment and performing hands‑on tasks when required
• Work experience with Fanuc controllers (both PLC and CNC) would be an added advantage.

Roles & Responsibilities

1. Oversee and coordinate daily construction activities to ensure alignment with project plans, designs, and technical specifications.

2. Lead the project team in planning and executing day-to-day activities.

3. Manage materials and labor to ensure the project stays on schedule and within budget.

4. Monitor and regulate the schedule and quality performance of all subcontractors.

5. Collaborate with consultants on design analysis, approvals, and addressing technical issues.

6. Conduct regular site progress meetings with clients and consultants, and supervise work progress.

7. Enforce consistent environmental, safety, and health practices.

8. Ensure the project is completed within the specified time, budget, and quality standards.

Job Summary

Procure commercial-grade materials and manage budgets using Google Sheets/Excel to support quality control and coordinate teams in commercial interior design projects, ensuring timely delivery and project success.

Responsibilities

• Source commercial-grade furniture, fixtures, and finishes such as flooring, lighting, and cabinetry from suppliers to meet project specifications
• Manage budgets, purchase orders, and delivery timelines for large-scale projects using Google Sheets and Excel to ensure financial control and schedule adherence
• Assist with quality control inspections for offices, retail, and hospitality spaces to maintain project standards
• Coordinate with designers, contractors, and vendors to keep projects on schedule and resolve issues proactively
• Apply strong proficiency in Google Sheets and Excel to track project data and costs accurately
• Manage multiple tasks and deadlines effectively in a fast-paced environment to support project progress
• Work independently with a positive attitude to drive project tasks to completion
• Travel to commercial job sites as required to oversee project activities and support teams

Preferred competencies and qualifications

• Experience in interior design or project management within commercial projects

• Interfacing with patients to attain information for clinical research, consolidating feedbacks to Microsoft Excel
  Evaluation of patient care reports provided by hospital nurse
• Managing project timelines
• Input findings and data into Microsoft excel for reporting
• Tabulation of report and presentation of findings
• Any other duties assigned

Requirements

• Able to commit to office hours on weekdays for 4 months in a clinic setting
• Nitec Or Diploma in Nursing and must be registered with Singapore Nursing Board
• BCLS & AED certified
• Friendly disposition and service oriented with good interpretation skills
• Any research experience would be an advantage

Kindly understand that only shortlisted candidates will be notified.

WeLead Solutions Pte Ltd
Poon Wai Soon, Bernard
Reg. No: R2197713
EA License No.: 23C1882

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

• RA & HR Management: Recruit, screen, onboard, and train undergraduate RAs each cycle; coordinate IT access and lab setup; develop and manage RA schedules to ensure full coverage across all sessions; run pre-wave QA sessions and share feedback with researchers.
• Lab Setup & Researcher Coordination: Configure SPS each term: create and distribute master surveys to faculty; open wave timeslots; verrfy IRB approvals; solicit studjes from researchers and manage wave deadlines across 6+ data collection waves per year; coordinate with relevant departments in advance to secure lab availability for the full term.
• Instructor Coordination & Credit Management: Coordinate with 1 O+ course instructors-each term on student sign-ups and study announcements; develop and tailor lab-related informational materials to meet the specific needs of each course; reconcile ~4,000 student credit entries per term; resolve discrepancies and process alternate assignment credits.
• Budget & Reporting: Lead the annual budget cycle; prepare and present term-end lab usage reports to the Marketing group; run BLAB departmental meetings.
• Daily Lab Operations: Oversee all communications for BLAB; prepare each lab session by ensuring IT readiness, coordinating technical support when needed, and maintaining a clean and functional lab environment; process participant cancellations and rescheduling in SPS; respond to student and researcher queries: provide on-call RA support during all data collection sessions; troubleshoot SPS and study issues, serve as backup study runner when needed.

• PhD in marketing, psychology, statistics, engineering, or a closely related discipline would be ideal.
• Prior experience in academic behavioral research, preferably including hands-on involvement in laboratory-based experimental studies.
• Familiarity with institutional research processes, including IRS/ethics protocols and subject pool management.
• Proficiency with online survey and subject pool platforms (e.g., Qualtrics, SONA/SPS).
• Strong understanding of experimental research design and behavioral data collection procedures.
• Excellent organizational and project management skills, with the ability to manage multiple concurrent workstreams across a full academic calendar.
• Strong interpersonal and communication skills for coordinating across faculty researchers, course instructors, undergraduate RAs, and university administrative offices.
• Strong troubleshooting ability, with a proactive approach to identifying and resolving technical and logistical issues under time pressure.
• Working knowledge of relevant computing and technical systems (e.g., survey platforms, lab IT setup, basic data handling), with the ability to quickly learn new tools.
• High attention to detail, particularly for data reconciliation and credit verification tasks involving large datasets.
• Experience supervising or training undergraduate research assistants is an advantage.

#LI-KC1

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.

We are looking for a Research Fellow to work on a project in the area of cyber-physical security analysis of modern power grids. The role will focus on cyber-physical modeling, simulation, and security assessment method development.

Key Responsibilities:

• Develop a high-fidelity Digital twin platform for modern power grid systems with coupled cyber-physical interaction layers.

• Simulate and access various cyber-attack vectors (e.g., data injection, remote control hijacking, protocol spoofing) to support power grid cyber-physical security assessment

• Provide an interface for external solution provides to test cybersecurity products virtually.

• Integrate with a Hardware-in-the-loop (HIL) platform for co-simulation tests on individual components in the power system.

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in power system modeling and simulation

• Research experience with power system cyber-physical modeling and simulation.

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

• Strong analytical and conceptual abilities.

• Relevant industry working experience is highly preferred.

• Able to work independently and in a team to realize proposed research work.

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

The role is part of NTU's Experimental Asset Markets group in the Economics Programme at the School of Social Sciences. The team focuses on lab experiments simulating asset markets to study pricing dynamics, bubble formations, and trader behavior. Using quantitative methods, econometrics, and statistics, we aim for innovative insights into asset market mechanics.

In this role, you'll manage research projects with a team of faculty and students at NTU, from conceptualization to publication.

Key Responsibilities:

• Conducting research on topics related to experimental finance and asset markets.

• Programming experiments with z-tree, Python, and o-Tree.

• Experience in running computerized laboratory economic experiments.

• Recruiting, training, and supervising undergraduate research assistants

• Performing research duties (e.g., IRB protocol, research grant administration and accounting, maintaining budgets, submitting reimbursement requests, database management, data entry, and data coding)

• Working with IT personnel and other team members to upgrade experimental lab capabilities.

• Assisting with organizing and implementing lab and field economics and behavioral experiments.

• Preparing the logistics for lab and field economics and behavioral experiments.

• Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R.

• Engage in academic activities (proofreading, preparing reports, grants, and present findings).

Job Requirements

• At least a Master degree in Economics (or A Ph.D. candidate near completion) specializing in Experimental and Behavioral Economics and familiar with experimental finance and asset markets.

• Good track record in research, a healthy line of papers, and work-in-progress.

• Experience in conducting laboratory experiments. Knowledge of field experiments would also be preferred.

• Proficiency in programming for experiments using z-tree and (or) o-Tree/Python would be necessary.

• Some knowledge of web development languages (HTML, CSS, Javascript) would be desirable.

• Excellent data analytics and econometric skills.

• Proficient in STATA and (or) R.

We regret that only shortlisted candidates will be notified.

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 undergraduate students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 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 hiring a Research Fellow with teaching in EEE to support research and development for AiBBLe, an AI-enabled brain-based learning platform, with emphasis on AI for learning, intelligent educational systems, human-centred AI, multimodal analytics, and related system design. The Research Fellow is also expected to support teaching activities as required by the School. Candidates should have a strong research track record, the ability to contribute to publications and interdisciplinary R&D, and prior teaching, tutoring, or laboratory instructional experience. Experience in generative AI, adaptive systems, learning technologies, sensing, or multimodal analytics will be advantageous.

Key Responsibilities:

• Conduct research on AI for learning, intelligent educational systems, human-centered AI, multimodal analytics, and related areas relevant to the AiBBLe platform.

• Translate AiBBLe’s educational and brain-based learning goals into technically feasible platform logic, prototypes, workflows, and evaluation designs.

• Publish high-quality journal and conference papers and prepare technical reports and presentations.

• Assist in mentoring MSc dissertation students, undergraduate research students, or project teams, and support experiments, pilot studies, and applied evaluations.

• Assist the School in teaching-related duties, including tutorials, laboratory support, project supervision, or other instructional activities with up to 350 hours per academic year.

Job Requirements:

• Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other related fields.

• Strong research background in intelligent systems, human-centred AI, machine learning, multimodal analytics, learning technologies, or related areas.

• Working knowledge of generative AI, large language models, prompt design, adaptive systems, data analysis, experimentation, and research software prototyping.

• Ability to translate research concepts into practical technical designs, prototypes, experiments, and platform features.

• Good written and oral communication skills.

• Ability and willingness to contribute to university teaching duties within an engineering-school environment.

• Independent, self-motivated, and able to work well in an interdisciplinary team.

• Ability to adapt to changing priorities and project needs.

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