Total 2,438 Science / R&D / Research job vacancies

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/Assistant-Manager-Manager%2C-Research-Admin-&-Programme-Management/32575-en_GB/

We regret that only shortlisted candidates will be notified.

Position Summary

The candidate will play an important role in driving research administrative excellence, managing research collaborations and grants in Operations Research and Analytics (ORA) at IORA. This role will be the key administrative point of contact for research teams, partners, and stakeholders, and will lead process improvements across research and programme management functions.

Key Responsibilities

1. Research Administration, Collaboration & Grant Management

• Lead and oversee research administration activities within IORA, ensuring robust processes for research collaborations, industry partnerships, and compliance with NUS and funding agency requirements.
• Drive and coordinate research grant applications: Advise and support PIs and research teams in grant identification, application preparation, internal reviews, timely submission, and post-award administration.
• Monitor and manage grant portfolios: Oversee financial tracking, milestone monitoring, progress reporting, and compliance for all active research grants and collaborative projects.
• Serve as the primary administrative liaison with academic, industry, and funding partners for research collaborations, ensuring effective communication, documentation, and issue resolution.
• Supervise procurement, HR administration, and claims related to grant-funded activities; optimise processes for onboarding research staff, faculty, and students.
• Maintain oversight of research records, partnership agreements, and audit documentation for internal and external reporting.

2. Operations and Event support

• Organise event and seminar planning for IORA, including industry engagement events, workshops, and research seminars, ensuring effective resource allocation and logistics.
• Drive process improvements and digital transformation in research administration and programme management functions.

4. Leadership, Reporting & Compliance

• Compile, review, and submit management reports on research activities, grants and compliance for audits and strategic planning.
• Champion best practices in research integrity, data management, and regulatory compliance across all administrative processes.
• Represent IORA in meetings with internal and external stakeholders on matters related to research administration, grants, and postgraduate programmes.

Qualifications and Requirements

• Bachelor’s degree, preferably with further professional qualifications in research administration, business, or higher education management.
• At least 7 years’ relevant experience, with proven expertise in research administration, grant management, and postgraduate programme operations (ideally within a university or research institute).
• Strong leadership, interpersonal, and communication skills, with experience supervising staff and managing cross-functional teams.
• Excellent organisational, analytical, and problem-solving abilities.
• Demonstrated ability to drive process improvements and manage complex projects.
• Proficient in the use of research administration systems, grant portals, and office software

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.

As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.

This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.

Responsibilities

• Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems
• Build strong cross functional partnerships and code deliverables
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Experience in systems software or algorithms
• Proven experience to translate insights into business recommendations
• Experience identifying, designing and completing medium to large features independently, without guidance
• Experience building and shipping high quality work and achieving high reliability
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Experience programming in a relevant language

Preferred Qualifications

• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
• Experience with programming languages such as Python, R, MATLAB
• Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

The position is based at the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), within a research team focusing on wireless power transfer and high-frequency power electronics systems. The team is engaged in the development of advanced power conversion technologies and system prototypes for industrial and emerging applications.

The Research Associate will support the final phase of a research project, with the key purpose of system integration, experimental validation, prototype refinement, and demonstration of a wireless power transfer system.

Key Responsibilities:

• Integrate hardware, control, and communication components to realize the final prototype system

• Conduct experimental testing, including efficiency, thermal, and reliability evaluations

• Optimize system performance and improve robustness and stability

• Develop and implement testing protocols and measurement setups

• Perform data collection, analysis, and technical evaluation

• Support system preparation for final demonstration and potential deployment

• Assist in technical documentation, reporting, and presentation preparation

Job Requirements:

• Master’s degree in Electrical Engineering, Power Electronics, or a related field

• Strong background in power electronics, wireless power transfer, or high-frequency systems

• Hands-on experience with hardware prototyping, testing, and instrumentation

• Familiarity with circuit design, control systems, and experimental validation

• Good analytical, problem-solving, and communication skills

• Ability to work independently and as part of a research team

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

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

【The Role】

We are looking for a Senior Research Scientist with strong experience in large-scale recommendation systems to help build the next-generation social media platform.

You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth.

【A Day in the Life】

• Design and deploy scalable recommendation pipelines 
• Develop and optimize CTR/CVR prediction models
• Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value)
• Tackle cold-start challenges for new users and new content
• Run offline experiments and online A/B testing to drive measurable gains
• Collaborate closely with product, engineering, and monetization teams
• Continuously iterate on model performance, latency, and system reliability

【The Impact You’ll Make】

• Improve user retention through intelligent content recommendation
• Drive measurable lift in engagement and monetization metrics
• Build core ranking mechanics beyond incremental model tuning
• Shape the foundation of a scalable, long-term content ecosystem

【Who You Are】

• 6-8 years of experience building production-grade ML systems
• Strong hands-on experience in recommendation systems
• Experience in one or more:
• Recall systems / candidate generation
• Ranking models
• CTR prediction
• Multi-task or multi-objective optimization
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)
• Strong software engineering fundamentals
• Experience with large-scale data systems and distributed training is a plus
• Experience improving retention or long-term user value is highly valued

【Why Join This Venture】

• Build 0-to-1 systems inside a proven AI powerhouse
• High ownership and direct business impact
• Startup speed with AppLovin-level scale and resources
• Opportunity to shape a new growth engine for the company

About the Role

We are seeking a detail-oriented Metrology / Inspection Technician to support semiconductor R&D and advanced packaging development. This role focuses on measurement, defect inspection, and data analysis to support engineering decisions and process optimisation.

Key Responsibilities

• Perform wafer/panel measurements (e.g. thickness, CD, surface, defect inspection)
• Support DOE runs, engineering lots, and process characterisation
• Identify defect trends and abnormalities, and report findings to engineers
• Maintain measurement accuracy, SPC tracking, and data consistency
• Operate and support metrology tools, setup, and basic calibration
• Assist in tool troubleshooting and routine maintenance (PM)
• Maintain proper documentation including measurement logs and reports
• Adhere to cleanroom protocols and safety procedures

Requirements

• NITEC / Diploma in Engineering or related field
• 1–3 years of experience in inspection, QA, or measurement environment
• Exposure to microscope, AOI, or metrology tools is advantageous
• Basic understanding of data tracking / SPC preferred
• Strong attention to detail and analytical mindset
• Comfortable working in cleanroom environment

Why Join

• Exposure to advanced semiconductor R&D processes
• Structured career growth into engineering pathways
• Stable MNC environment with strong technical exposure
  
  

Lai Kah Wei

Registeration Number: R25158317

EA License Number: 18C9027

The College of Science seeks a diverse and inclusive workforce and is committed
to equality of opportunity. We welcome applications from all and recruit on the
basis of merit, regardless of age, race, gender, religion, marital status and family
responsibilities, or disability.

The Division of Mathematical Sciences (MAS) at SPMS, NTU invites applications
for positions at the rank of Visiting Professor in Mathematics. We are looking for
candidates holding a Ph.D. degree in mathematics or a closely related area.

The Visiting Professor collaborate with MAS colleagues to work in the area of
financial mathematics, stochastic finance, and applied probability, as well as
explore collaborations with colleagues from other Schools within NTU.

The candidate should have at least 10 years of experience in one or more of the
following areas: financial mathematics, Stochastic Finance, applied probability.

Enquiries about the position can be addressed to Professor Juan Pablo Ortega, at
juan-pablo.ortega@ntu.edu.sg.

Applications will be accepted until the positions are filled. All applications and
materials submitted will be held in strict confidence. Only shortlisted candidates
will be notified.

Please click here to apply.

Job Description

Job Summary
• This role is responsible for leading multiple project teams consisting of mechanical hardware engineers and internal/outsourced development partners. The role manages headcount, resources, schedules, and costs across multiple ongoing projects, and builds relationships with development partners. The role brings domain-specific expertise, providing leadership and mechanical/thermal perspective to cross-organization projects. The role evaluates designs for compliance with technology and drives innovation and integration of new technologies into projects.

Responsibilities
• Leads multiple project teams of other mechanical hardware engineers and internal and outsourced development partners responsible for all stages of mechanical and thermal development for complex products and platforms, including solution design, validation, tooling and testing.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Manages and expands relationships with internal and outsourced development partners on mechanical and thermal design and development.
• Reviews and evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.
• Provides domain-specific expertise and overall mechanical/thermal leadership and perspective to cross-organization projects, programs, and activities.
• Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
• Drives innovation and integration of new technologies into projects and activities in the mechanical and thermal design organization.
• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents.
• Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended
• Four-year or Graduate Degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in Mechanical engineering design and solutions, implementation across hardware development lifecycle, or a related field.

Preferred Certifications
NA

Knowledge & Skills
• 3D Modeling
• Ansys Simulation Software
• Computer-Aided Design
• Electromechanics
• Engineering Design Process
• Finite Element Methods
• Injection Molding
• Machining
• Manufacturing Processes
• Mechanical Design
• Mechanical Engineering
• Mechanical Systems
• New Product Development
• Product Design
• Product Lifecycle Management
• Prototyping
• PTC Creo (CAD Suite)
• Sheet Metal
• SolidWorks (CAD)
• Thermal Management

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job Description

Job Summary
• This role is responsible for leading multiple project teams consisting of mechanical hardware engineers and internal/outsourced development partners. The role manages headcount, resources, schedules, and costs across multiple ongoing projects, and builds relationships with development partners. The role brings domain-specific expertise, providing leadership and mechanical/thermal perspective to cross-organization projects. The role evaluates designs for compliance with technology and drives innovation and integration of new technologies into projects.

Responsibilities
• Leads multiple project teams of other mechanical hardware engineers and internal and outsourced development partners responsible for all stages of mechanical and thermal development for complex products and platforms, including solution design, validation, tooling and testing.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Manages and expands relationships with internal and outsourced development partners on mechanical and thermal design and development.
• Reviews and evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.
• Provides domain-specific expertise and overall mechanical/thermal leadership and perspective to cross-organization projects, programs, and activities.
• Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
• Drives innovation and integration of new technologies into projects and activities in the mechanical and thermal design organization.
• Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents.
• Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended
• Four-year or Graduate Degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in Mechanical engineering design and solutions, implementation across hardware development lifecycle, or a related field.

Preferred Certifications
NA

Knowledge & Skills
• 3D Modeling
• Ansys Simulation Software
• Computer-Aided Design
• Electromechanics
• Engineering Design Process
• Finite Element Methods
• Injection Molding
• Machining
• Manufacturing Processes
• Mechanical Design
• Mechanical Engineering
• Mechanical Systems
• New Product Development
• Product Design
• Product Lifecycle Management
• Prototyping
• PTC Creo (CAD Suite)
• Sheet Metal
• SolidWorks (CAD)
• Thermal Management

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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-%28LWIR-Perception-&-UAV-State-Estimation%29/32576-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments.

The Research Engineer will design and implement LWIR-based odometry and thermal-inertial state estimation frameworks, including multi-sensor fusion with IMU and other onboard sensors. The work will involve both model-based approaches (e.g., filtering and optimization-based estimation) and learning-enhanced methods for improving robustness and generalization across environments.

The candidate will also be responsible for system integration and real-world deployment on UAV platforms, including embedded implementation, sensor calibration, and experimental validation in both indoor and outdoor scenarios. The developed methods will be evaluated in realistic navigation tasks under challenging environmental conditions.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidate should have a Bachelor’s degree from a reputable university, with expertise in robot perception, state estimation, or aerial robotics.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), along with demonstrated experience in state estimation, odometry, or SLAM systems, particularly in robotics applications.  

Qualifications

•    Possess min a Bachelor’s degree in Computer Engineering/Science or related disciplines (e.g., Electrical Engineering, Mechanical Engineering, Mathematics).
•    Have research experience in robot perception, state estimation, SLAM, or sensor fusion.
•    Experience with thermal (LWIR) imaging, event cameras, or other non-RGB sensing modalities is highly preferred.
•    Familiar with visual-inertial odometry (VIO), thermal-inertial odometry, or multi-sensor fusion frameworks.
•    Knowledge of state estimation techniques, including EKF, UKF, factor graph optimization, or moving horizon estimation (MHE).
•    Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus.
•    Proficient in C++ or Python; experience with ROS and real-time robotic systems.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience in sensor calibration (intrinsic/extrinsic) and time synchronization is desirable.
•    Strong analytical and problem-solving skills, demonstrated through relevant publications or projects.
•    Ability to deploy algorithms on embedded platforms (e.g., NVIDIA Jetson) is a plus.
•    Excellent communication skills for publishing and presenting research outcomes.
•    Experience in world-class research environments is highly valued. 
•    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-Fellow-%28Dept-of-O&G%29/32559-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Job Description

The National University of Singapore invites applications for one highly motivated Research Fellow specializing in Biostatistics and Epidemiology in the Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine. A/Prof Chan Shiao-Yng’s (obgchan@nus.edu.sg) team conducts research in understanding the impact of maternal and environmental factors on placental and offspring development, and implications for the developmental origins of health and disease (DOHaD). The appointment will be for 1 year in the first instance, with the possibility of extension to 3 years depending on progress and available funding.

Purpose of the post

We are seeking highly motivated PhD graduates with expertise in Biostatistics and Epidemiology, and preferably some background experience in Molecular Biology and Physiology. Candidates should have an interest in endocrinology, pregnancy and in-utero development. The successful candidate will help to design and conduct studies, analyse data, write papers and grants/reports, and present findings at meetings.

Main Duties and Responsibilities

The successful candidate should be able to:

(1) employ basic and advance biostatistical and bioinformatic methods to analyse data from mother-offspring cohorts and randomised controlled trials

(2) write original research articles/reviews, write grants/reports, prepare presentation materials and disseminate findings

(3) provide administrative support to research projects, such as organizing meetings, maintaining regular communication with other members of the research team, supervising more junior team members, and collaborate with other external study sites

(4) collaborate with team members in the day-to-day running of projects, including assisting with sample/data collection (whenever relevant/necessary)

(5) maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;

(6) assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The candidates are required to demonstrate that they

(a) have the relevant scientific understanding and experience;

(b) have a proven track record in research in the form of publications in top English language journals;

(c) have the ability to communicate in good written and spoken English;

(d) are able to work independently and in a team, have an investigative mindset, attention to detail, and good leadership ability;

Remuneration will be commensurate with the candidate’s qualifications and experience.

Please submit your application supported by a detailed CV (indicating current/expected salary, including personal particulars, academic and employment history, and complete list of publications/oral presentations, information on years of experience in research & laboratory work and full contact information of 3 referees).

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

Join Our Team at Centre for Disruptive Photonic Technologies, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

A Research Associate position is currently available at the Centre for Disruptive Photonic Technologies (CDPT), School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), Singapore.

The Research Associate will be required to support the development of next-generation optoelectronic devices, focusing on devices such as metatransistors made from perovskites and conductive polymers. The role involves nanofabrication using focused ion beam milling and electron beam lithography, electroluminescence characterization, and photonic modeling with COMSOL and Lumerical.

Key Responsibilities:

As an integral part of the project, the Research Associate is expected to work on fabrication and characterization of  light-emitting devices using advanced nanofabrication techniques, optical and electrical measurements to analyze emission properties, simulations to optimize device performance and light–matter interaction, collaborate with research teams and contribute to publications and reports, collaboration with research teams, and contribution to scientific publications.

The Research Associate is expected to work, generate ideas and experimentally prove them both independently and within team-working efforts with other researchers working on the project.

Job Requirements:

The Research Associate will be required to:

• Design and conduct experiments in optical imaging, spectroscopy, and related photonic applications.

• Operating and maintaining research laboratories, including advanced microscopy and spectroscopy equipment, in compliance with safety and laboratory protocols.

• Analyze data, prepare scientific publications, and present findings at international conferences.

• Collaborate with internal and external partners on joint research projects and technology development.

• Contribute to progress reports, project meetings, and support day-to-day laboratory operations.

Moreover, applicants:

• Must have a Master in Physics, Optical/Photonic Engineering, Materials Science, or closely related disciplines

• Applicants must have relevant research experience in fabrication, optical characterization, and photonic modeling of perovskites and/or conductive polymers platform

• Must have a good track record of scientific publications in international peer reviewed journals

• Must have strong background in nanofabrication and sample preparation methods

• Should show ability to work independently and as part of a team with strong initiative

• Should show good communication and interpersonal skills

NTU seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Advanced-Instrumentation%29/32587-en_GB/?st=2B0997AD31DA7AB45CFACB8BAFF892A06C5E5FE2

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to operate, maintain high-end and general instrument and field studies to study air quality in urban environment. 

Qualifications

·  PhD in Science / Engineering / Aerosol & Air quality sciences or related discipline

·  Leading operation, maintenance, troubleshooting and data analyses of advanced instruments of ACSM, AMS, PTR-MS, etc.

·   Handling and analyzing data

·   Planning and conducting field studies

·   Proficient in technical presentation, slide making, report writing, etc.

·   Experiences in journal publications and proposal writing

·   Proven rounded and effective team player with strong initiative and ownership of the research project

• Work onsite and attend industry partner meetings
• Support the general management and administration of centre operations (e.g., organise meetings, recording meeting minutes)
• Manage project timeline and ensure project milestones/ deliverables are met
• Support all related administrative work
• Perform literature reviews, assist with designing and conducting of qualitative and/or quantitative research tasks (e.g., focus group discussions, interviews, surveys), and perform dataprocessing and analysis tasks
• Develop project processes and procedures, and maintain related documentations
• Conduct impact analysis against pre-determined project outcomes
• Prepare progress and final reports of the project for reporting to management, as well as for publication
• Present research outputs at seminars, meetings, workshops
• Assist in procurement processes (e.g., purchase of tokens for focus group participants)
• Contribute to development and writing of research grant proposals
• Work on other tasks as assigned by the centre leaders

Job Requirements
Degree holder, preferably in the field of behavioural science, social science, human resource, or business

• At least 1 year of working in a research setting
• Responsible and reliable
• Independent and resourceful

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 kindly submit your resume through here and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The National Institute of Education invites suitable applications for the position of Research Assistant on an 18-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Orchestrating AI-enabled Mathematics Lessons: An Exploratory Study

Project Introduction:

The introduction of Artificial Intelligence (AI) into education has potentially ushered in an era of new possibilities for reimagining learning, teaching, and assessment practices. The current developments in machine learning, data analytics, natural language processing, and other adaptive technologies promise to provide students with personalised learning pathways and automated feedback, while supporting teachers to adopt a more discursive teaching stance (Pepin et al., 2025). For instance, ChatGPT and other AI-enabled technologies have been used to support teachers in planning mathematics lessons (Gurl et al., 2024), developing mathematics tasks (Schorcht et al., 2024), and designing learning environments for mathematical problem solving (Liu et al., 2025). These perceived affordances of AI have catalysed interests in developing more responsive and differentiated mathematics instruction through a data-driven approach.

However, it remains unclear how teachers can fully harness the affordances of these AI-enabled technologies, given their limitations in reliability (e.g., hallucinations) and adaptability for use with diverse student groups (Celik et al., 2022; Schorcht et al., 2024). Furthermore, as highlighted by Sinha (2025), what constitutes good AI use in education depends on teachers’ perspectives of learning—do they see learning from an instructivist, constructivist, or embodied perspective? These differing perspectives can influence how teachers think about mathematics task design (Schorcht et al., 2024). More importantly, how AI-generated tasks or AI educational tools are used in classrooms adds to the complexities and nuances of orchestrating learning experiences for students. It is not simply about the design of the task, but also how the task is used in the actual instruction (Smith & Stein, 1998).

Therefore, the main aim of this project is to investigate how two expert teachers think as they orchestrate AL-enabled learning experiences in mathematics classrooms, from planning to implementation.

Requirements:

• Bachelor’s degree in education, social sciences, or a related field

• Minimum of 3 years of experience in research support, research communication or knowledge translation.

• Familiar with Qualitative and Quantitative Research

• Excellent writing skills

• Ability to synthesise diverse literature

• Good communication and presentation skills

• Project management skills

• Proficient in Microsoft Word, Microsoft Excel, SPSS, and NVivo

• Ability to work independently and collaboratively

• Organised, reliable, patient, and with strong initiative
  

Responsibilities:

• Conduct data collection and analysis to support research objectives

• Coordinate and manage project timelines and deliverables

• Report writing and contributing to academic publications and presentations

• Collaborate with colleagues to support cross-functional research initiatives

• Other duties as assigned by the Principal Investigator
  

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

Closing date for advertisements will be set to 14 calendar days from the date of posting.