Total 2,516 Others level Science / R&D / Research job vacancies

Responsibilities

1. Developing and implementing mechanical designs and welding procedures for new products or product improvements.
2. Analyzing and troubleshooting mechanical and welding problems, and recommending appropriate solutions.
3. Conducting tests and experiments to validate designs and procedures.
4. Managing projects and coordinating with cross-functional teams to ensure timely completion of tasks.
5. Providing technical support to production teams and assisting with equipment maintenance and repair.
6. Mentoring and training junior technicians and engineers.

Requirements

1. Strong knowledge of welding processes, metallurgy, and welding standards.

2. Excellent problem-solving skills and the ability to work independently or in a team.

3. Good communication and interpersonal skills to collaborate with colleagues and stakeholders.

4. Familiarity with relevant regulations and safety requirements.

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

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

The Research Associate role is responsible for designing and implementing advanced hardware architectures and system-level solutions for next-generation computing, with a focus on memory-centric acceleration.

Key Responsibilities:

• Design and develop Processing-in-Memory (PIM) architectures, particularly leveraging emerging memory technologies such as ReRAM

• Implement and optimise hardware acceleration solutions for scientific computing algorithms (e.g., iterative solvers such as AMG, CG) and AI workloads

• Conduct hardware-software co-design, including architecture design, dataflow optimisation, and system integration

• Develop novel mapping strategies and dataflow scheduling techniques to improve performance, energy efficiency, and hardware reliability

Job Requirements:

• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related discipline

• Strong background in computer architecture, hardware acceleration, or high-performance computing

• Experience in Processing-in-Memory (PIM), ReRAM, or emerging memory technologies is highly preferred

• Proficiency in algorithm-hardware co-design, particularly for sparse or irregular computations

• Familiarity with scientific computing algorithms (e.g., AMG, Conjugate Gradient, SpMV) or AI acceleration

• Experience in hardware modelling, simulation, or architecture design tools

• Strong understanding of performance optimisation, energy efficiency, and system-level trade-offs

• Ability to work independently and collaboratively in a multidisciplinary research environment

• Strong analytical, problem-solving, and communication skills

• Track record of publications, patents, or research projects will be an advantage

We regret that only shortlisted candidates will be notified.

Responsibilities

• Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).
• Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.
• Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.
• Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.
• Participate in preparing project deliverables, proposals, and publications under funded research programmes.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor/Master in Naval Architecture, Maritime Engineering, or related field.
• Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.
• Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.
• Strong analytical ability, creativity, and interest in real-world R&D challenges.
• Good teamwork and communication skills to engage with multidisciplinary stakeholders.
• Independent, resourceful, and able to deliver under tight schedules.

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.

Mission:

Contribute to the Hutchinson Data Services program and play a key role in designing, building, and deploying scalable data solutions that power real world applications. You will work at the forefront of Industrial IoT and analytics, transforming complex data into actionable insights. Collaborating with a dynamic and growing international team, you will help deliver robust, production-ready solutions, unlock new business opportunities, and create tangible business value for customers.

Responsibilities:

·       Design, develop, and deploy commercial data services solutions in the field of predictive maintenance and industrial IoT.

·       Coordinate with business, product, and data science teams to translate business needs into scalable, production-ready data solutions that create tangible value and new business opportunities.

·       Coordinate research and development work with research institutes and external collaborators

·       Actively communicate project progress, outcomes, and value delivered to stakeholders

·       Document work processes and outcomes to facilitate knowledge sharing.

Requirements:

·       Master or Bachelor’s degree in Computer Science or Engineering

·       Min.2 years of relevant working experience in Software Development or Engineering

·       Strong foundation in software design principles, with the ability to build scalable, maintainable and reusable systems.

·       Strong proficiency in one or more backend programming languages such as Python, Java, Nodejs.

·       Solid experience in designing, developing and maintaining RESTful APIs

·       Familiarity with cloud platforms and backend technologies

·       Experience in commercial IoT systems, particularly edge/gateway and cloud integration is a plus

·       Self-driven, proactive, and able to work independently in a fast-paced environment

Responsibilities

• Plan, prepare and carry out instructional activities that promote active learning experiences
• Establish and convey clear objectives for all learning activities
• Prepare classroom for class activities
• Prepare variety of learning materials for use in educational activities
• Identify and select a variety of instructional resources and methods to cater to students’ varying needs
• Use relevant technology to support instruction
• Observe and evaluate students’ performance and development
• Set different forms of assessments such as quizzes, tests and examinations
• Maintain accurate and comprehensive records of students’ progress and development
• Prepare reports on students and activities
• Manage student behavior in the classroom appropriately
• Maintain discipline in accordance with the disciplinary system of the school
• Apply appropriate disciplinary measures where necessary
• Perform certain pastoral duties such as student support and counseling
• Communicate necessary information frequently to students, colleagues and parents pertaining to student progress and student needs
• Keep updated with subject area, teaching resources and methodologies and make pertinent changes to instructional plans and activities
• Conduct remedial lessons to help underachievers reach expected competencies in core academic skills
• Work closely with form teacher to maintain discipline of subject class and to care for the well-being of students
• Any other duties as assigned by the Principal, Vice-Principal or Head of Department

Requirements

• Diploma holder or above with at least 3 years of relevant working experience
• Familiar with Singapore curriculum
• Passionate about teaching and are constantly able to see the best in a child
• Dynamic and energetic
• Mature and independent
• Conversant in a second language besides English
• Competent PC skills

Interested parties, please send your resume to hr@syas.edu.sg. Only shortlisted candidates will be contacted.

By submitting your resume, you agree and consent to your personal data being processed, collected, used, disclosed and/or retained for the purpose of assessing applicants for employment. Personal information of unsuccessful applicants will be retained for a period of one year only, after which it will be destroyed.

The Role

The Executive Search Research Associate is a core member of Egon Zehnder’s consulting teams and plays a critical role in delivering best‑in‑class executive search and leadership advisory outcomes. Research Associates specialize in specific industries, capabilities, or practices and are viewed as trusted domain expert sand the “go‑to” source for market intelligence, talent insights, and candidate evaluation support.

The Research Associate supports the full lifecycle of executive search assignments, from initial market mapping and search strategy development, through candidate identification and assessment, to assignment closure. This role requires close collaboration with Consultants, clients, and global research colleagues, as well as a strong orientation toward quality, rigor, and insight.

We are currently seeking an outstanding Research Associate to join our team in Singapore.

Key Responsibilities

Managing Search Pipeline & Process

• Formulate compelling, evidence‑based search strategies independently and contribute actively to their execution.
• Consistently identify and develop “best‑in‑class,” high‑quality, and diverse candidate slates.
• Conduct extensive research using online resources, market intelligence, and Egon Zehnder’s proprietary databases to identify top executive talent.
• Proactively approach and engage industry leaders, where appropriate, to understand market dynamics, organizational context, reputational factors, and recommendations for top talent.
• Develop comprehensive market overviews and talent landscapes to inform client discussions and decision‑making.
• Ensure candidates are thoroughly market‑validated and share relevant insights gathered during assignments with Consultants and clients.
• Support Consultants in managing candidate and client communications throughout the search process.
• Collaborate with colleagues across global offices to fully leverage Egon Zehnder’s international network, sharing insights and best practices.
• Partner with administrative and operational teams to produce content‑rich, insight‑driven client updates and status reports.
• Maintain the highest standards of data quality and integrity within Egon Zehnder’s research systems, ensuring timely and rigorous capture of insights generated during search work.

Business Development & Knowledge Contribution

• Demonstrate strong domain expertise and market insight that informs Consultants’ strategic thinking and enhances Egon Zehnder’s market position.
• Continuously monitor market trends, industry developments, and leadership movements to identify potential opportunities for client engagement and relationship development.
• Conduct background research and generate market insights to support pitches, proposals, and client presentations, working closely with Egon Zehnder’s Knowledge and Research teams.
• Contribute research expertise to client meetings and pitches, when appropriate.
• Partner with Knowledge teams to capture and codify both search‑related and non‑search‑related insights within Egon Zehnder’s global knowledge base.

Candidate Profile

The ideal candidate will bring 8+ years of relevant business experience, gained within a commercial, professional services, corporate, or research‑focused environment. Experience may come from executive search, management consulting, professional services, strategy, research functions, or other business‑related roles emphasizing data gathering, analysis, and insight generation.

Candidates should demonstrate:

• The ability to work seamlessly with Consultants and engage effectively with senior‑level clients within a defined industry or functional context.
• Strong stakeholder management skills, with the ability to navigate multiple internal and external constituencies.
• A track record of delivering high‑quality work in fast‑paced, professional services environments, with a strong emphasis on rigor, discretion, and judgment.

Education

• Bachelor’s degree from a respected institution.
• Master’s degree is a plus

Required Skills & Capabilities

• Strong analytical capability and intellectual curiosity, with the ability to synthesize large volumes of information and distill clear, actionable insights.
• Results‑oriented mindset with excellent project management skills; self‑motivated, resilient, and driven to excel.
• Highly organized and effective at managing multiple priorities, deadlines, and stakeholders simultaneously. Exceptional attention to detail.
• Strong relationship‑building and influencing skills, with excellent written and verbal communication abilities and comfortable with engaging internal and external stakeholders.
• Proven ability to produce high‑quality, well‑structured written materials and presentations.
• Strong proficiency in Microsoft Office applications, particularly Excel and PowerPoint.

Read more about us at https://www.egonzehnder.com/

We thank all applicants for their interest in this position. However, due to the volume of applicants, please note we will only be in contact with those individuals who are most aligned with the key requirements.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Digital-Concrete%29/32504-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 RE is required to work on:
(1) Development of durable construction materials from locally available resources for marine applications.
(2) Assessment of environmental impact of the developed concrete mixture.
(3) 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. 
•    Ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings. 
•    Strong written and spoken communication skills. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Open to fixed-term contract. 
•    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

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-%28LLM-for-Construction-Safety%29/32519-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
•    Evidence of strong publication record in top academic journals
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Familiarity working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required
•    Strong written and oral communication skills.
•    Open to fixed-term contract

Data Analysis and Research exposure with a Public Agency!

• Up to $5,500 per month
• 11-month contract
• Mon - Fri, office hours
• Central Location

What to expect:

• Support the development, implementation, and testing of a new data analytics system as part of a project team.
• Generate data-driven insights through Excel visualisations (e.g., charts, pivot tables, dashboards)
• and support testing of enhancements to data visualisation tools and pipelines.
• Collaborate with stakeholders including data custodians, data engineers, product managers, and contractors to deliver solutions aligned with organisational needs.
• Co-ordinate project operations such as vendor management, research material reviews, survey platform testing, and ensuring quality deliverables.
• Consolidate and standardise data from multiple sources while maintaining data integrity and consistency.

Requirements:

• Possesses minimum a Bachelor's Degree with 2 years of experience in quantitative market research project management, data profiling and review.
• Working knowledge of R and/or Python would be advantageous.
• Strong analytical skills, detail-oriented with high level of accuracy in data management.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

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-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

Job Description:

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes as and when required.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.

Long standing during the working hour is required

Responsibilities:

Supervise and manage the drivers team.

Drive the cold truck lorry to deliver the frozen meat production to customers on time.

Assist the manager to schedule the timetable and assign the line to the drivers.

Maintain the vehicles and keep driving safe.

Night shift and long time work is required.

Load and upload the goods.

Requirements:

Singapore Class 3/4 Driving License is required. Having a Class 4 license is an advantage.

Familiar with Singapore route.

Physically fit.

Can handle the heavy goods.

Can adapt the night shift working hours.

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-%28LOGISTICS-&-SUPPLY-CHAIN-OPTIMIZATION%29/32506-en_GB/

We regret that only shortlisted candidates will be notified.

The Role

Are you passionate about solving complex logistics and supply chain challenges through cutting-edge modeling, simulation, and data science?

The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National University of Singapore is seeking a Research Engineer to join our dynamic team and contribute to innovation that drive operational excellence.

As a Research Engineer, you will:

• Design, build, and implement optimization models tailored to transportation and logistics contexts.
• Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems.
• Utilize commercial and open-source solvers such as Gurobi, CPLEX, and Google OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Apply data-cleaning techniques and statistical analysis to understand complex datasets.
• Create compelling visualizations using MS Power BI and Tableau.

Requirements

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Those with 1–2 years of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply.

• Proficiency in Python or similar programming languages and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools).
• Familiarity with simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Skilled in data visualization tools (MS Power BI, Tableau).
• Strong command of MS Office Suite

Location: NUS Kent Ridge Campus, Singapore

Ready to make an impact? Apply now and be part of a team that’s shaping the future of logistics and supply chain innovation.

Interested applicants can submit their CV to the NUS Career Portal

Job Description:

• Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.
• Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.
• Plan, coordinate, review and control production activities in order to ensure that workplace safety.
• Possesses positive attitude, proactiveness, common sense and good teamwork.
• Stir fry dishes as and when required.

Job Requirements:

• At least 5 Year(s) of working experience in the related field and industry.
• Long hours of standing during the working shift.
• Polite manner, energetic, cheerful, and hardworking.
• Self-discipline and self-motivated and enjoys interacting with people and serving customers.

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-%28AI-&-Machine-Learning-for-Infectious-Disease-&-Public-Health%29/32508-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health invites applications for a Research Fellow to drive AI-centred research within a portfolio that spans decision-support for pandemic response, social network modelling, equitable AI for clinical applications, and developing culturally-congruent LLMs to advance behavioural modelling in public health.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. They will have significant latitude to shape their research direction within these themes and will collaborate closely with engineers, epidemiologists, clinicians, and policy stakeholders.

Key Responsibilities
• Develop and validate deep learning and machine learning models for behaviour modelling,
including foundation models, graph neural networks (GNNs), and sequence models applied
to public data for good.
• Prototype and evaluate reinforcement learning frameworks for simulating and optimising
public health interventions under uncertainty.
• Build AI pipelines for social network and information diffusion modelling; explore LLMbased
simulation of intervention scenarios.
• Publish findings in leading venues.
• Co-supervise junior researchers; contribute to grant reporting and proposal writing.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in computer science, machine learning, data science, computational epidemiology, or
a closely related field.
• Strong expertise in deep learning frameworks (PyTorch, JAX, or TensorFlow); experience
with LLMs or foundation models is a significant advantage.
• Proficiency in Python; familiarity with R is beneficial but not required.
• Experience in at least two of: time-series forecasting, GNNs, reinforcement learning,
NLP/LLMs, computer vision, or causal inference.
• Demonstrated publication record commensurate with career stage.
• Interest in real-world public health and policy impact; ability to communicate technical work
to non-specialist audiences.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).