Total 1,315 job vacancies in Singapore

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

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-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret that only shortlisted candidates will be notified.

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.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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

Vaster Learning Pte Ltd, situated in the bustling business area of Novena, has emerged as a leader in providing both online and offline classes in a variety of subjects. By winning the support of many parents, it has gained tremendous recognition among the students. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. We aim at providing excellence in educational services.

Responsibilities

· Conduct 1-to-1 online/offline (@Novena) lessons

· Conduct group online/offline (@Novena) classes

· Create an engaging learning experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor learning progress and periodical exams

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

 Requirements:

· A good Diploma/Degree in Science (Chemistry/Biology)

· Familiar with IB programme

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on new challenges.

· Flexible, able to manage change and ambiguity well and able to work under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and weekends

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

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

Role Overview:

We know stepping into teaching can feel overwhelming — that’s why at Achievers Dream, we invest heavily in your success from Day 1.

• You’ll start with our proven, research-backed 5-Stage Teacher Training System
• Receive step-by-step guidance from experienced mentors
• Learn exactly how to deliver effective lessons and guide students — no guesswork
• Progress at a structured pace, with constant support and feedback

Once you’re confident and ready, you’ll officially step into your role as a Science Teacher, where your main focus will be:

• Teaching upper primary / lower sec students in group class settings

• Conducting both classroom lessons and hands-on lab sessions in our NEA-approved Chemistry Lab

• Helping students truly understand Science — not just memorise

• Focusing solely on teaching — with minimal admin work (our support team handles the backend)

We’re looking for someone who is:


• Patient, reliable, and committed to students’ improvement

• Passionate about teaching — not interested in research or excessive admin

• Eager to grow, learn, and become a respected Science Specialist

• Someone who respects work life balance and giving 100% at work.
• Teaching or tutoring experience will be a bonus as training will be provided
• Detail-oriented in marking and student feedback
• Team player who is dependable and willing to help when needed

Work Schedule & Location

Outlets: Bukit Timah, Lorong Chuan, Kembangan

• Option 1: 4 weekdays (1:00pm–9:00pm) + 1 weekend (8:30am–6:30pm)
• Option 2: 3 weekdays (1:00pm–9:00pm) + 2 weekends (8:30am–6:30pm)

For interested applicants, kindly send your updated resume to us and we will contact you for a competency test and interview. We regret that only shortlisted candidates will be contacted.

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

Job Responsibilities:

Overall:

• 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.
• Work collaboratively with social service practitioners, other research officers, and/or management to evaluate programmes and services.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Support in MEL

• Support in reviewing documents related to programme development and evaluation (programme proposals, TOC, logic model, needs analysis, evaluation reports etc)
• Support in developing Monitoring, Evaluation and Learning systems to assist in ongoing work and assess impact.
• Provide support to programme teams in planning data collection, analysis and sense making to articulate outcomes.

Project management

• Assist in project management related to programme development and evaluation support to ensure they are completed in time while assuring quality. This includes:
  • The different workflows are delivered in line with requirements and timeframes.
  • Proactively collaborate and communicate with social service practitioners to ensure work related to monitoring and evaluation are conducted as planned in a timely manner.
  • Support in other tasks related to project management.
• Contribute to developing and managing knowledge products (knowledge management) of the project (case studies, documentation of lesson learnt, best practices)

Requirements:

• Honours Degree in Social Work/ Sociology/ Psychology or related discipline. Open to social service practitioners with keen interest in evaluation and research.
• Past work experience in evaluation is preferred.
• Prior experience in conducting research and knowledge of social service sector preferred but not necessary.
• Strong attention to detail, including proficiency in using quantitative and qualitative data.
• Excellent project management, planning, organisation and coordination skills, and proactiveness in working with the team and other teams.
• 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.
• Knowledge on writing reports, and designing tools for data collection, analysis, managing databases and writing reports.

Asian Thoracic Oncology Research Group (ATORG) is the coordinating platform for translational research in Asia. Its mission is to advance medical knowledge of lung cancer and improve health outcomes of patients through clinical studies and scientific events. ATORG operates under National Cancer Centre Singapore.

We are looking for a Research Fellow who will provide critical support in the design, writing, and operational documentation of multi-country investigator-initiated trials (IITs) and translational oncology studies under the ATORG platform. This includes drafting study protocols, scientific reports, stakeholder materials, and contributing to consensus meetings and academic outputs.

This role is ideal for a motivated and detail-oriented individual with strong scientific writing skills and an interest in driving precision oncology research across Asia.

Main Responsibilities:

1. Study Design and Protocol Development (40%)

• Draft and refine clinical and translational protocols, including Synopsis, Study flow diagrams, Schedules of assessments (SoA), and biomarker sections
• Coordinate protocol input from PIs, Statisticians, Clinicians, and vendors
• Adapt study designs to site capabilities, operational constraints, and scientific objectives

2. Scientific & Grant Writing (30%)

• Develop Abstracts, poster presentations, and manuscripts for submission to Scientific conferences and journals
• Prepare Grant applications, Letters of Intent (LOIs), and scientific reports for academic and industry sponsors
• Draft meeting materials for advisory boards, working groups, and regulatory discussions

3. Stakeholder Engagement & Meeting Support (20%)

• Support scientific communications with local and regional collaborators, including meeting minutes, presentation decks, and briefing materials
• Liaise with site investigators, pharma sponsors, CROs, and academic partners to support scientific alignment across projects
• Contribute to preparation and documentation of region

4. Strategic Input & Innovation (10%)

• Provide input into vendor evaluations, consensus statement writing, and research planning documents
• Assist with the development of SOPs, training materials, and collaborative frameworks to improve ATORG’s scientific processes

Key Requirements:

• Master’s degree in biomedical sciences, cancer biology, molecular medicine, public health, or related field
• At least 2–3 years of relevant research or clinical trial experience, particularly in scientific documentation or study design
• PhD in a related field OR equivalent track record of scientific output (e.g., peer-reviewed publications, lead authorship on abstracts)
• Familiarity with clinical trial protocol writing, GCP principles, or ethics submissions
• Prior experience in oncology research, translational studies, or regional research collaborations

Advantageous Skills to Have:

• Scientific Writing & Communication: Excellent ability to translate complex scientific and clinical data into clear, accurate protocols, manuscripts, and presentations.
• Analytical & Problem-Solving: Strong capability to evaluate scientific feasibility, identify risks, and propose practical solutions.
• Stakeholder Engagement: Skilled in managing relationships with investigators, sponsors, vendors, and internal teams across different cultures and geographies.
• Organisational & Project Management: Ability to manage multiple projects concurrently, meet deadlines, and maintain attention to detail.
• Regulatory & Compliance Awareness: Competence in ensuring study design, documentation, and publications comply with international and local regulations, SOPs, and ethical standards.
• Technical proficiency with MS Office, reference management software, and clinical trial management systems (CTMS) is desirable.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

RESPONSIBILITIES

• Design mechanical components, enclosures and systems using CAD tools, including case parts, and mechanisms.
• Perform critical design analyses such as Design for Manufacturing (DFM), Design for Assembly (DFA), form/fit/function, Safety, reliability, and tolerance stack-up studies.
• Utilize simulation software to conduct dynamic analyses and explore various configurations to optimize mechanical performance and efficiency.
• Develop and refine prototypes based on simulation results and conceptual designs, applying creative and innovative approaches.
• Collaborate and communicate with internal and outsourced development partners on mechanical design and development, detailed project requirements, mechanical specifications, and performance objectives.
• Conduct rigorous testing and evaluation of prototypes to ensure stability, reliability, and compliance with design standards.
• Managing and executing experiment to characterize and validate design performance
• Using data analysis to drive design improvement and issue resolution
• Participate as a member of project team to develop reliable, cost effective and high-quality solutions for low to moderately- complex products.

• Bachelor's or Master's degree in Mechanical Engineering.
• 2 to 4 years of hands-on experience in mechanical product design or research and development (R&D).
• Proficient in using Creo (or equivalent 3D CAD software) as a primary mechanical design tool for complex component modeling.
• Proven track record in designing sheet metal and plastic parts, with a strong understanding of their associated production tooling and manufacturing processes.
• Experienced in utilizing CFD (Computational Fluid Dynamics) simulation software and building physical thermal mockups to validate and optimize thermal solutions.
• Strong analytical and problem-solving skills to diagnose design flaws, interpret data, and drive continuous design improvements.
• Excellent communication skills with the ability to confidently present design proposals, collaborate with cross-functional teams, and negotiate design options with stakeholders.

Beyondsoft committed to being an equal opportunity employer and provides equal employment opportunities to all employees and applicants. We strive to cultivate a workplace that celebrates diversity and inclusion, where individuals of all backgrounds—regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, or any other distinguishing trait—can succeed and thrive. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, national origin, disability status, genetics, sexual orientation, gender identity, or expression. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the entire employee lifecycle. We are focused on creating an environment where everyone can reach their full potential.

Employment offers from Beyondsoft are contingent upon the successful completion of any required pre-employment processes, in line with applicable laws and regulations. Beyondsoft does not ask for any recruitment fees, nor does it request any unauthorized payments from candidates as part of the hiring process

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

Project Overview

The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic technologies. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs) of the Singapore-MIT Alliance for Research and Technology (SMART).  The research engineer will join an interdisciplinary team of chemists, engineers and plant biologists in the development, modification and characterization of functional conjugated polymers with unique optical properties that could potentially be used for cell imaging. These novel tools enables optimal crop production and rapid development of plants suitable for high-density farming and revolutionalizes urban farming strategies.

Responsibilities

• Support the DiSTAP nanosensor team in the development and validation of novel single-walled carbon nanotube (SWNT)-based sensors, with a primary focus on Covalent Organic Framework microneedles (COF-MNs) and nanosensors for nutrient sensing.
• Participate in translational research projects alongside external collaborators and open-field commercial plantation partners to drive the commercialization of DiSTAP technologies.
• Work across interdisciplinary team on in-planta studies using nanosensors for the real-time monitoring of plant nutrients, metabolites, and stress responses.
• Play a crucial role in enhancing the throughput of sensor data evaluation by developing, optimizing, and maintaining automated data processing and analysis pipelines.

Requirements

• BSc in Chemistry, Materials Science, Engineering, or a closely related field.
• Hands-on experience working with nanosensors, nanoparticle synthesis, and materials characterization, particularly regarding their applications in plant biology.
• Strong hands-on laboratory skills and technical proficiency.
• Excellent teamwork and collaboration skills, with the ability to mentor visiting students and interns.
• Ability to effectively communicate research progress through technical reports and poster presentations.
• Excellent written and verbal communication skills in English.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Job Scope:

• Assist in maintaining 2 of the science labs
• Responsible for setup, clean up and general maintenace of science lab/classroom
• In charge of department stock taking and inventory management.
• Preparing apparutus and assist the science teacher in the science lab
• Assist in student management/ classroom management if required

Requirements:

• At least ‘N/O' levels qualification
• Relevant work experience as a teacher's aide/science lab assistant in school setting
• Familiar with MS Office (Powerpoint, Excel etc)
• Possesses good communication skills to liaise with teachers, students, and other stakeholders

Working Hours: Mon to Fri: 7am to 4pm (45 mins unpaid lunch break)

Contract Period: 5 months

Salary: $2100-$2170/month

Location: Hougang

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills

Hiring: Science Teacher (Primary level)

Part Time: $25-35 per hour (commensurate with experience)

Working hours:-

Part Time: between Mon-Fri 9am-3.30pm

Location: East

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work
• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff
• Schedule and prepare examination papers and assignments
• Monitor the performance and progress of each student, including academic counselling
• Give feedback to Management about the continual improvement of the class performance
• Mark and grade all course work, assignments and examination papers
• Give feedback to Management on the course proceedings at the end of semester/course/modules
• Participate in programme review meetings

Requirements:

• Minimum a Diploma
• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Science Teachers (Full / Part Time, East)".

**PLEASE INDICATE YOUR EXPECTED SALARY RANGE**

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd
EA License No.: 08C3226
EA Personnel: Sng Wei Lin
EA Reg No.: R1101806

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

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

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.

Key Responsibilities:

• Original Research & Experimentation: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments.

• Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting Principal Investigators (PIs) in writing competitive grant proposals.

• Scholarly Output: Publishing research in peer-reviewed journals, presenting at international conferences, and developing patent disclosures.

• Mentorship: Assisting the PI in supervising junior researchers, postgraduates, and undergraduate students.

• Collaboration: Partnering with industry stakeholders, government agencies, and other academic institutions to translate research into viable solutions.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Location: Tampines

Working Hours: 4 weekdays + 1 weekend

Inspire Young Minds Through Science Education

The Perse School (Singapore) is seeking a dynamic and adaptable Teacher of Computer Science to join our expanding Senior School. The successful candidate will play a key role in establishing the Computer Science Department, initially delivering engaging lessons to Years 6 to 10, growing through to Year 11 and A Level.

Ideally, applicants will have the ability to teach a second STEM subject up to Key Stage 3 or beyond.

As the school grows, this role may include leadership responsibilities within the Science Faculty, providing an exciting opportunity to shape the development of computing education within the Senior School. The post-holder will contribute to the delivery of the Cambridge International Computer Science Curriculum, ensuring students are well-prepared for IGCSE Computer Science and related examinations.

In addition to teaching responsibilities, the successful candidate will serve as a Form Tutor, providing pastoral care and fostering students' personal growth. They will also contribute to the school’s extracurricular programme, engaging students in coding clubs, robotics teams, and computing competitions.

Key Responsibilities:

• Develop and deliver a rigorous and engaging Computer Science curriculum, in line with the Cambridge International Curriculum and The Perse School ethos.
• Teach Computer Science across age ranges from Year 6 through to IGCSE, and A Level, inspiring students to develop computational thinking and problem-solving skills.
• Support students in preparing for IGCSE Computer Science, delivering a well-structured and challenging course.
• Collaborate with Junior School teachers to ensure curriculum continuity and smooth progression from the Coding and Robotics course taught from Year 3.
• Teach a second subject (e.g., Mathematics, Physics, or another STEM subject) up to Key Stage 3 or 4, where applicable.
• Provide guidance and support as a Form Tutor, promoting students' personal and social development.
• Establish positive relationships with parents, keeping them informed of their child’s progress and addressing any concerns.
• Incorporate innovative teaching strategies and educational technology to enhance learning in Computer Science.
• Create an inclusive and stimulating classroom environment, catering to diverse learning needs, including EAL learners.
• Contribute to the extracurricular programme by leading coding clubs, robotics teams, hackathons, or cybersecurity competitions.
• Engage in professional development and mentor colleagues to promote best practices in computing education.

Person Specification:

Essential Skills and Attributes:

• Strong subject knowledge in Computer Science and effective teaching strategies to support diverse learners.
• Experience teaching Computer Science to students aged 11–16, with familiarity in preparing students for IGCSE or equivalent examinations.
• Excellent interpersonal and communication skills, fostering strong relationships with students, parents, and colleagues.
• Cultural sensitivity and awareness, with the ability to thrive in an international school setting.
• Strong organisational skills and the ability to manage responsibilities effectively in a dynamic environment.
• Proficiency in using technology, coding languages (Python, Java, etc.), and multimedia tools to enhance Computer Science education.
• Demonstrated ability to inspire and motivate students to achieve their full potential in computing.

Desirable Skills and Experience:

• Ability to teach a second STEM subject (Mathematics, Physics, or another relevant discipline) up to Key Stage 3 or 4.
• Experience in developing curriculum frameworks or leading a team within a Technology or Computing Department.
• Experience working with EAL learners, incorporating strategies to support language acquisition in technical subjects.
• Familiarity with concept-based, project-based, or inquiry-based learning approaches.
• Experience teaching in an international school context.
• Passion for integrating Computer Science into cross-curricular initiatives, including STEM projects, AI, and cybersecurity awareness.

Essential Qualifications & Experience:

• Minimum four (4) years of teaching experience within an international school environment.
• A Bachelor’s or Master’s degree in Education, together with a recognised professional teaching qualification (e.g., PGDE, PGCE, PGCEi, NIE Diploma) or a valid Teacher Licence / QTS.
• Strong knowledge and experience in delivering the Computer Science curriculum.
• Proven capability in curriculum development, including experience in developing curriculum frameworks and/or leading a team.

Safeguarding:

The Perse School (Singapore) is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All candidates will be subject to rigorous safeguarding checks, including reference checks, an enhanced DBS (Disclosure and Barring Service) check, and verification of qualifications and employment history.

As part of our commitment to safeguarding, all staff are required to uphold the school’s safeguarding policies, attend regular training, and promote a safe and inclusive environment for all students. Any gaps in employment must be explained, and candidates should be prepared to discuss their approach to safeguarding in education as part of the recruitment process.

Disclaimer

The statements above outline the general nature and scope of work for individuals in this classification. They are not intended to be a comprehensive list of all responsibilities, duties, and skills required. Personnel may be asked to perform tasks beyond their usual responsibilities as needed.

Job Description:

• Collaborate with the Project Leader to execute the MOE-TIF project on AI-driven optimization of aeroponic systems.
• Manage and operate aeroponic cultivation systems for leafy vegetables and high-value fruiting crops.
• Design and conduct experiments to investigate plant physiological responses under different spray regimes and nutrient formulations.
• Monitor plant growth parameters, nutrient uptake efficiency, and environmental conditions to support AI model training.
• Plan and execute experiments, prepare progress reports, and provide regular updates on project milestone.
• Assist in system installation, maintenance, troubleshooting, and modification of aeroponic equipment.
• Document experimental data, analyse results, and contribute to project reports and publication.
• Coordinate with industrial collaborators and support pilot testing at partner farm sites.
• Manage procurement processes, including liaising with vendors, sourcing materials, equipment, and testing supplies, and raising purchase requests.
• Document and track project issues, expenses, budget, action logs, and equipment maintenance.
• Perform any other related duties as assigned by the Project Leader.

Job Requirement:

• Relevant qualification in Agricultural Science, Food Science, Horticulture, Plant Science, Agricultural Engineering, Biotechnology, or related disciplines.
• Hands-on experience in urban agriculture cultivation, plant nutrition management, and controlled environment agriculture systems.
• Experience in operating cultivation equipment and designing controlled experiments.
• Ability to work effectively in a team and follow project timelines and operational arrangements.
• Proven ability to plan, organize, and manage multiple tasks with a strong sense of responsibility to meet project milestones. 
• Candidates from related industries who are interested in transitioning into aeroponic and smart urban agriculture are encouraged to apply.
• Successful candidates will be employed on a contract basis for two year duration of the project.

 Primary Science Tutor 

Location: Upper Serangoon Rd

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes
  

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Chin See Min Reg No. : R22107450

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

we are looking for Primary Science 1-1 Home Tutor

Job Description

• Deliver lessons in an engaging and dynamic manner, based on our curriculum and pedagogy
• Develop lesson materials and provide feedback to help students achieve visible improvement in academic results
• Engage students and help them realise their potential
• Teach Primary to Secondary Maths and Science Subjects

Requirements:

• Degree obtained from Singapore Local Government Universities
• Strong in Maths and Science Subjects
• Demonstrate passion in education – committed to nurturing the students and makes effort to continually improve yourself
• Dynamic and confident, with an approachable disposition
• Strong communication (both spoken and written) and interpersonal skills
• Required to work on weekends
• Candidates with prior teaching experience are preferred