Total 2,238 Science / R&D / Research job vacancies

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 a 12-month contract at the English Language and Literature department.

Project Title: Train Your Dragon: Fine-tuning Large Language Models to Create Agentic AI for Automatic Assessment Generation

Project Introduction:

This position involves two closely related research strands at the intersection of language assessment and artificial intelligence. The first focuses on developing agentic AI systems to support the automated construction and evaluation of language tests. This includes fine-tuning large language models (LLMs) for tasks such as item generation, test assembly, and automated essay scoring, with an emphasis on validity, reliability, and methodological transparency.

The second strand centers on advancing LLM-based spoken dialog systems integrated with sensor technologies, including neuroimaging and eye-tracking. Building on our existing in-house platform, the research assistant will extend system capabilities to address emerging research questions related to cognitive load, interaction dynamics, and adaptive dialogue management. This role requires both technical development and empirical research, contributing to innovative approaches in technology-enhanced language assessment.

A. Required background and skills

• Bachelor’s degree in computer science, artificial intelligence, data analytics, computational psychology, or a closely related field

• Demonstrated experience with large language models (LLMs), including fine-tuning, APIs, or related methods for text generation or evaluation tasks

• Programming proficiency in Python (knowledge of R is an advantage)

• Experience developing agentic AI systems using LLM APIs/SDKs, including tool use, orchestration, and workflow design

• Proficiency in one or more of the following areas: natural language processing (NLP) and/or speech technologies (e.g., ASR, TTS, dialog systems)

• Reliable background in quantitative and computational methods

• Working understanding of experimental research design and data analysis
  

B. General competencies

• Strong motivation for interdisciplinary research and ability to work collaboratively in a team environment

• Strong teamwork skills, openness to innovative ideas, and intellectual curiosity

• Resilience and persistence in tackling complex research and development challenges

• Excellent written and verbal communication skills in English
  

C. Preferred

• Experience with automated item generation, automated essay scoring, or educational measurement applications of AI

• Familiarity with spoken dialog systems or conversational AI development

• Familiarity with sensor-based research methods (e.g., EEG, fNIRS, eye tracking)—training will be provided

• Familiarity with neurofeedback and human–computer interaction (HCI) methods

• Experience working with multimodal data (e.g., speech, text, physiological signals)

• Prior involvement in interdisciplinary projects combining AI, language, and cognitive science

• Experience contributing to academic publications or conference presentations
  

Responsibilities:

• Develop and fine-tune LLMs for language assessment applications, including automated item generation, test assembly, and automated essay scoring

• Design and implement agentic AI systems using LLM APIs/SDKs, including tool integration, workflow orchestration, and iterative model improvement

• Contribute to the development and extension of in-house spoken dialog systems for research and experimental use

• Integrate and manage multimodal data streams (e.g., speech, text, neuroimaging, eye tracking) within dialog system architectures

• Support the design and implementation of experimental studies involving human-AI interaction and sensor-based data collection

• Analyze and interpret quantitative and multimodal datasets using appropriate statistical and computational methods

• Collaborate with interdisciplinary team members across AI, language assessment, and cognitive science domains

• Contribute to the preparation of research outputs, including conference papers, journal articles, and technical reports

• Document code, models, and experimental procedures to ensure reproducibility and scalability

• Assist in maintaining and improving research infrastructure, including codebases, APIs/SDK integrations, and experimental platforms

• Any 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 date of posting.

We are looking for a candidate to support capability development initiatives, including L&D operations, systems management, learning analytics, and process improvement.

Contract Duration: 12 months
Salary: Up to $6,500/month

Responsibilities

• Support capability development and learning initiatives
• Manage L&D systems and programme operations
• Support learning analytics and dashboard development (Tableau based)
• Drive process improvements and automation initiatives
• Other adhoc duties as assigned

Requirements

• Possesses minimum a Bachelor's Degree with 8-10 years of relevant experience.
• Strong budget management and data analytics skills (Tableau preferred)
• Experience with learning management systems (Workday, LEARN)
• Competency framework development experience
• Excellent communication and stakeholder management skills, project management capabilities
• Experience in designing learning interventions and facilitating group discussions.

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.

Chloe Chew (R1768631)
ScienTec Consulting (ScienTec Personnel) - 11C5781

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the English Language and Literature department.

Project Title: The Nature of Human-AI Interactions in Multimodal Academic Lecture Assessment: A Generative AI and Sensor Technology Investigation

Project Introduction:

Recent developments in generative AI are transforming how we create educational content and assess language skills. Tools that generate spoken or video-based content, as well as conversational AI systems, are increasingly used in language learning and testing. These technologies hold significant promise but also raise important questions about how learners interact with and respond to AI-driven materials.

This project investigates how learners engage with educational content and interactive systems powered by generative AI. It explores the neurobiological, emotional, and behavioral aspects of listening and conversation in academic settings, focusing on the ways learners process spoken input, engage with digital characters, and experience language-based interaction in AI-enhanced environments. The study involves two phases. One focuses on how learners respond to academic input in various formats, and the other explores user interaction with conversational systems built on generative AI. Across both phases, the project will use a range of behavioral, neurophysiological, and self-report measures to gain a well-rounded understanding of user engagement and comprehension. The findings are expected to inform future practices in using AI technology, language assessment, and learner-centered design.

Requirements

• Bachelor's degree in computer science and/or data analytics; quantitative and computational language sciences; cognitive neuroscience, or a closely related field
• Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs), text-to-video (TTV), automatic speech recognition (ASR), or their combination
• Working knowledge of neuroimaging techniques such as fNIRS (training will be provided)
• Theoretical and/or practical familiarity with eye-tracking methodologies (training will be provided)
• Strong background in programming languages such as Python
• Background in quantitative and computational methods (training will be available during the project)
• Strong motivation for scientific inquiry, effective collaboration skills, and a constructive team-oriented mindset
• Excellent written and verbal communication skills in English

Preferred

• Familiarity with cloud-based integrated development environments (IDEs) as well as APIs
• Prior involvement in interdisciplinary research projects (e.g., cognitive science and computer science)
• Experience contributing to peer-reviewed publications or conference presentations

Responsibilities:

• Designing experimental protocols and research instruments that integrate generative AI technologies
• Developing AI-enhanced materials and tools, including listening tasks and GenAI-based conversational systems
• Data preparation and conducting quantitative and computational analyses using programming languages such as Python and R
• Preparing clear, well-documented reports and updates for the Principal Investigator (PI)
• Collaborating with interdisciplinary team members to refine experimental design and ensure methodological rigor
• Assisting with the preparation of academic publications, conference presentations, and research dissemination activities
• Managing data processing pipelines, including preprocessing and visualization of neuroimaging and behavioral data
• Supporting the implementation and testing of cloud-based tools and integrated development environments as needed
• Other responsibilities 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 date of posting.

Salary: up to $2500

Duration: 1 year contract

Working Days & Hours: Mon-Fri Office Hours

Location: One North

Job Description:

• Perfume compounding and material selection as per formulation.

• Updating compounding information in the Electronic Lab Notebook.

• Ensuring clean tools are used for weighing.

• Preparation for odor evaluations.

• Maintaining End-to-End (E2E) service of material management.

• Supporting the shipping of compounded materials with complete shipping documents.

• Operating and maintaining the Contexa robot.

Job Requirements: Min Diploma in Applied Chemistry/Perfumery and Cosmetic Sciences/Chemical Engineering or similar w min 1 yr of relevant experience in chemistry laboratory environment 

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

The Services required are set out as follows:

1. Assist in the preparation of teaching and learning resources.

2. Assist in the preparation of science experiment materials and

maintain the cleanliness and organisation of the science

laboratory.

3. Assist students in carrying out the science experiments under the

supervision of the Science teachers.

4. Provide administrative support to the teachers (e.g. preparation

of student’s achievement certificates and collation of students’

survey responses).

5. Manage the loan and return of teaching resources and prepare

documentation for the condemnation of teaching resources

where required.

6. Provide front-desk customer service, including handling walk-in

and telephone enquiries from parents as when required.

7. Assist with school printing duties as when required.

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-%28VIOLIO-&-State-Estimation%29/32580-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with particular emphasis on LiDAR-Inertial Odometry (LIO), Visual-Inertial Odometry (VIO), and multi-sensor fusion for UAVs and other agile platforms.

The Research Fellow will develop high-performance, robust estimation algorithms that operate reliably in challenging environments (e.g., low texture, illumination variation, dynamic scenes, or sensor degradation). The research will integrate model-based estimation methods (e.g., filtering, factor graph optimization, moving horizon estimation) with learning-enhanced components, including meta-learning approaches for adaptive and generalizable estimation.

The candidate will be responsible for both theoretical development and system-level implementation, including real-time deployment on robotic platforms. The developed algorithms will be validated through simulation and real-world experiments, particularly on UAV systems.

In addition, the Research Fellow is expected to contribute to mentoring junior PhD students and supporting research activities within the project.

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 Ph.D. degree from a reputable university, with expertise in robotic state estimation, SLAM, or perception for autonomous systems.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), and a strong publication record in top-tier venues. 

Qualifications

•    Possess a Ph.D. degree in Electrical Engineering or related disciplines (e.g., Computer Science, Robotics, Mechanical Engineering, Aerospace, Mathematics).
•    Have substantial research experience in robotic state estimation, SLAM, or odometry systems.
•    Strong expertise in LiDAR-Inertial Odometry (LIO), Visual-Inertial Odometry (VIO), or multi-sensor fusion.
•    Solid understanding of estimation and optimization frameworks, including EKF/UKF, factor graph optimization, bundle adjustment, or moving horizon estimation (MHE).
•    Experience with real-time perception systems and deployment on robotic platforms.
•    Proficient in C++ or Python; experience with ROS and robotic middleware.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience with sensor calibration, time synchronization, and system integration is highly desirable.
•    Strong publication record in leading journals and conferences in robotics, control, or machine learning.
•    Excellent communication skills and ability to independently publish and present research outcomes.
•    Demonstrated ability to supervise students or contribute to research leadership is preferred.
•    Experience in world-class research environments is highly valued.
•    Open to Fixed Term Contract

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-Associate-%28International-Dispute-Resolution%29/32533-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Centre for International Law (CIL) is inviting applications for a Research Associate position to contribute to the development and research of the International Dispute Resolution (IDR) programme. Candidates with experience in public international law, including in international tribunals such as the International Court of Justice, are encouraged to apply. The focus topic of the IDR programme is disputes involving States and includes issues related to alternative dispute resolution, international courts and tribunals and peace and security.

The duties of the incumbent will include:

• Conducting research and writing on current issues related to the resolution of disputes involving States;
• Contributing to the development of the IDR programme's research agenda;
• Publishing in top tier peer-reviewed journals;
• Developing and implementing conferences, seminars, workshops, and training sessions related to international dispute resolution.

The IDR Research Associate will have the opportunity to work in a small team with a streamlined reporting structure and and engage with practitioners in the field. The successful candidate will also have the chance to collaborate with other CIL research teams and experts, and to attend conferences and workshops.

Qualifications

• A Master’s degree in a relevant area of international law;
• At least one (1) year of professional experience;
• Proven track record in conducting independent research;
• Strong analytical and writing skills;
• Ability to produce academic writing as well as background papers and reports;
• Demonstrable interest in public international law and dispute resolution;
• Strong organisational and communication skills;
• Fluency in English is required;
• Pro-active personality, with the ability to make suggestions and be a hands-on contributor; and
• Tech-savvy.

Application Procedure

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents:

• A covering letter (no more than 1 page) detailing motivations, relevant experience and why the candidate should be considered for the position;
• A comprehensive curriculum vitae (no more than 3 pages) outlining educational and professional history;
• Official university transcripts;
• A sample of written work
• Contact information of two academic referees.

Please note that only shortlisted candidates will be notified and invited for an online Zoom interview. For enquiries, please contact Human Resources at huong.tam@nus.edu.sg

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Roles and Responsibilities:

The Middle School Lead Teacher is responsible for maximizing student learning and development through the planning, preparation, and teaching of comprehensive educational programs that meet students' individual learning needs and achieve specific student outcomes. Theyfoster academic growth, social development, and critical thinking skills while creating an inclusive learning environment that supports students' holistic development.

Develop and Implement Curriculum:

• Design and deliver a comprehensive, age-appropriate curriculum that aligns with school standards and educational goals and is in line with the science of learning.
• Teach mathematics and science, adapting instruction to meet the diverse needs of students.
• Incorporate a variety of instructional strategies, including hands-on activities, group work, and project-based learning, to engage students and promote critical thinking.

Create a Positive and Inclusive Classroom Environment:

• Foster a supportive, safe, and inclusive classroom where all students feel valued and respected.
• Establish clear expectations for behavior, classroom routines, and academic goals, creating a structured and nurturing environment.
• Promote social-emotional learning, helping students build essential skills such as empathy, collaboration, and self-regulation.

Assess Student Progress and Provide Feedback:

• Regularly assess students’ academic progress through formal and informal assessments, including tests, quizzes, projects, and observations.
• Provide constructive, timely, and personalized feedback to students to help them understand their strengths and areas for improvement.
• Use data from assessments to adjust teaching strategies and support individual learning needs.

Differentiate Instruction to Meet Student Needs:

• Tailor lessons to accommodate diverse learning styles, abilities, and backgrounds, ensuring that each student has the opportunity to succeed.
• Modify assignments, assessments, and classroom activities for students with varying levels of understanding and those with special needs.
• Provide additional support for students who need extra help and offer enrichment opportunities for advanced learners.

Support Social and Emotional Development:

• Support the development of students' social-emotional skills, including conflict resolution, communication, and self-awareness.
• Foster positive relationships among students through team-building exercises, class discussions, and cooperative learning activities.
• Help students set personal goals, track their progress, and celebrate achievements to build confidence and motivation.

Collaborate with Other Teachers and Staff:

• Work closely with other teachers, EAL (English as an Additional Language) instructors, and subject-specific teachers to support students' individual needs.
• Participate in school-wide initiatives and collaborate with other teachers to plan interdisciplinary projects or school events.
• Attend meetings with school leadership, counselors, and other staff to discuss students’ academic, social, and emotional progress.

Communicate with Parents and Caregivers:

• Regularly update parents on their child's academic progress, behavior, and overall well-being through newsletters, emails, and parent-teacher conferences.
• Maintain open lines of communication with parents to address concerns, provide updates, and collaborate on strategies to support student learning at home.
• Provide parents with resources and suggestions to help their children with homework, studying, and personal development.

Manage Classroom Behavior and Foster Positive Relationships:

• Establish clear classroom rules and routines to maintain order and encourage positive behavior.
• Use positive reinforcement techniques to motivate students and promote a positive learning environment.
• Address behavioral issues in a constructive manner, using conflict resolution strategies and involving students in discussions about appropriate behavior.

Plan and Supervise Field Trips and Extracurricular Activities:

• Organize and supervise field trips, school events, and extracurricular activities that enhance students' learning experiences and provide real-world connections to classroom content.
• Ensure that activities are educational, engaging, and safe for students.
• Communicate with parents about upcoming trips and volunteer opportunities to ensure participation and support.

Create and Maintain Classroom Materials and Resources:

• Organize and maintain classroom supplies, materials, and resources to ensure a well-prepared learning environment.
• Prepare visual aids, bulletin boards, and learning stations that support student engagement and enhance classroom instruction.
• Maintain student records, including grades, attendance, and progress reports, in an organized and accessible manner.

Engage in Professional Development:

• Participate in professional development opportunities to stay current with best practices in teaching, curriculum development, and classroom management.
• Attend workshops, conferences, and seminars to learn new teaching strategies, educational technologies, and methods for supporting diverse learners.
• Collaborate with colleagues to share knowledge, resources, and strategies that improve teaching and student outcomes.

Support School Community and Culture:

• Actively participate in school events, activities, and committees that promote school spirit and community engagement.
• Serve as a role model for students by demonstrating respect, responsibility, and commitment to the school community.
• Foster positive relationships with colleagues, students, and parents, contributing to a collaborative and welcoming school environment.

Qualifications and Experience:

• A recognized bachelor's degree in teaching, education or related field of study (math/science) with recognized teaching credential.
• A minimum of three years successful full-time teaching experience in a K-12 school.
• International school teaching experience preferred.
• Curriculum and program development knowledge preferred.
• Excellent verbal and written skills.
• Familiarity with cognitive science-based teaching and learning is an advantage.
• Passionate about helping students to learn and grow.
• Able to make decisions in the best interests of children.
• Sound EQ, empathy and a strong understanding of self.
• Excited about working collaboratively in a learning-focused team.
• Possess a learning and growth mindset.
• Internationally minded and accepting of all people regardless of age, gender, sexual persuasion, culture or language.
• Creative and innovative in ideas and outlook.
• Sense of humor.
• Adaptable and flexible to the needs of colleagues, students, school and self.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Pharmacy-and-Pharmaceutical-Sciences%29/32592-en_GB/?st=F60B62FB7157CB4DA8743736577FB0031852900E

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on the wetlab validations of AI-optimised mRNA sequences for stability and protein expression.

The main responsibilities of the position include:
- Gene synthesis and in vitro mRNA transcription for transfection into cells.
- Cell line construction and maintenance.
- Analysis of protein expression by flow cytometry.
- High throughput sequencing of gene libraries.
- Characterisation of mRNA vaccine and therapeutic effects in vivo.

Qualifications

Qualifications / Discipline:
- Bachelor’s or Master's degree in molecular biology, cell biology, immunology, or a related discipline; equivalent research experience will also be considered.  

Skills: 
- Proficiency in PCR, cloning, mammalian cell culture and transfection, fluorescence microscopy and immunostaining is required.
- Experience with fluorescence-activated cell sorting and flow cytometry data analysis, in vitro transcription, high throughput gene library construction and sequencing, and mouse model perturbation and analysis is advantageous.
- Excellent self-motivation, teamwork skills, and the ability to design and troubleshoot experiments are preferred.

Experience: 
- Prior laboratory experience in molecular biology, cellular biology or immunology projects with mammalian cell experiments.
- Experience with in vivo experiments, particularly with mouse models, is an advantage.
- Contribution to at least one paper in a relevant field. Having a published first author paper is an advantage.

Job Responsibilities:

• Contribute to the conceptualisation and design of research studies (including primary studies, desk review, etc.) on social issues relating to children and families, under the supervision of the Head of Research and Research Advisors.
• Candidate will be expected to execute responsibilities relating to data collection, data cleaning and analysis.
• Conceptualise the dissemination plan of studies together with Advocacy Unit, contribute to the dissemination plan including writing up and presenting findings to relevant stakeholders.
• Work collaboratively with social service practitioners to evaluate programmes and services.
• Responsibilities include supporting the development of concept papers (TOC, logic model, needs analysis), proposal of suitable frameworks, methods and tools for programme evaluation, analysis of results, and contributing to reports detailing findings and recommendations.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Requirements:

• Honours Degree in Psychology / Sociology / Social Work or related discipline
• Past work experience is preferred
• Past research experience is required
  i) Past research experience should be evident (e.g. RA, internship, thesis, peer-reviewed research publications)
  ii) Candidate should have sound statistical knowledge and be proficient in using statistical software such as Statistical Package for the Social Sciences (SPSS) to conduct data analysis
  iii) Prior experience in conducting programme evaluation and knowledge of social service sector preferred but not necessary
• Keen interest in conducting research on social issues relating to children and families
• Willing to undertake different types of work
• Good written and verbal communication skills
• Good interpersonal skills
• Self-motivated and able to work independently to manage multiple tasks simultaneously
• Be comfortable working collaboratively in a team and in liaising with multiple parties

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.