Total 1,350 job vacancies in Singapore

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

We are actively searching for a seasoned Senior Real Estate Research Analyst to join our team. In this pivotal role, your primary duty will be to undertake comprehensive research that informs the creation of compelling and insightful content centered around the real estate industry. Your expertise will extend into exploring secondary topics like finance, mortgage, interest rates, and other macroeconomic factors intertwined with real estate.

The ideal candidate will not only have a flair for writing but also a deep-rooted understanding and passion for the real estate market. Beyond content creation, your responsibilities will encompass data gathering, information processing, and detailed market analysis. You will be a key asset, providing crucial research support to our market intelligence division and pivotal stakeholders.

Responsibilities

• Produce and deliver analytical reports on the real estate market, alongside pieces of content and presentation slides covering market trends, property specifics, investment tactics, and home buying/selling insights.
• Conduct and develop in-depth research content on Singapore’s real estate sector, with a key focus on the residential and commercial sectors
• Identify economic patterns and property cycles, and develop compelling content on finance, mortgage, interest rates, and related real estate industry subjects.
• To keep abreast of economic news, indicators, and policies, and analyze the impact on supply and demand dynamics
• Assist in liaising with media correspondents and prepare commentaries to be broadcasted on selected news outlet
• Collaborating with the creative team to vet and select suitable images and visuals to enhance the written content.
• Collaborating with other team members and subject matter experts, to ensure the quality and accuracy of the content produced.
• Ad hoc writing assignments covering newly released real estate policies or regulatory changes, ensuring accurate and timely coverage.
• Maintain a large database for research publications and work input
• Prepare presentation decks for the upper management levels
• Provide critical analysis of the latest news, press releases, or announcements that may affect the property sector

Requirements

• A diploma or degree in Real Estate, Economics, or a related field is preferred
• Proficiency in using digital tools and platforms for content creation, collaboration, and research.
• In-depth knowledge of real estate industry trends, market dynamics, and related topics.
• Strong critical thinking and analytical skills
• Possess knowledge in real estate economics and valuation
• Fluency in oral and written English is essential
• Highly motivated individual with keen attention in detail
• A good team player and is able to work independently with limited supervision

Job Summary

The Network Infrastructure & Security Engineer will be responsible for the design, deployment, operation, and optimization of our network infrastructure, including routers, switches and firewalls. This includes supporting external vendors to deploy network assets and taking over control and maintenance from vendors from day 2 onwards. The role shall also be responsible for developing, implementing and maintaining cybersecurity policies and controls to protect systems and data from evolving threats. A strong understanding of networking principles, cybersecurity frameworks, and a passion for staying ahead of emerging threats are essential.

Solution Sourcing and Strategy

• Research, evaluate, and recommend new cybersecurity and network solutions to enhance our security posture and network capabilities.
• Conduct market analysis to identify emerging technologies, vendors, and best practices relevant to our infrastructure and security needs.
• Develop business cases and justifications for new solution procurements.

Vendor Management & Solution Deployment Oversight

• Manage and coordinate with external vendors throughout the lifecycle of solution deployment, from selection to post implementation review.
• Review and validate vendor provided designs, configurations, and implementation plans to ensure alignment with organizational security policies and network architecture standards.
• Oversee the successful integration of new solutions into the existing infrastructure.

Post Deployment Maintenance & Operations

• Perform ongoing maintenance, configuration, and optimization of network devices (routers, switches, firewalls, load balancers) and security systems (IDS/IPS, SIEM, EDR, antimalware, vulnerability scanners).
• Monitor network and system activity for suspicious behavior, security incidents, and unauthorized access, taking prompt action as needed.
• Conduct regular vulnerability assessments, penetration testing, and security audits to identify and address weaknesses post deployment.
• Develop and implement incident response plans, leading efforts to contain, eradicate, and recover from cyberattacks.
• Manage and maintain identity and access management (IAM) solutions.

Security Policy and Compliance

• Develop, implement, and enforce cybersecurity policies, standards, and procedures.
• Ensure compliance with relevant industry regulations and frameworks (e.g., GDPR, HIPAA, ISO 27001).
• Conduct regular security awareness training for employees.

Troubleshooting and Documentation

• Diagnose and resolve complex network and security issues efficiently.
• Perform regular system updates, patching, and configuration management for network and security devices.
• Maintain detailed documentation of network configurations, security policies, and incident response procedures.

Collaboration and Continuous Improvement

• Collaborate with IT teams, developers, and other stakeholders to integrate security into all aspects of the infrastructure and software development lifecycle.
• Stay up to date with the latest cybersecurity threats, technologies, and best practices.

Job Requirements:

• Bachelor degree in Computer Science, Information Technology, Cybersecurity, Network Engineering, or a related field.
• Proven experience (3 to 5 years) in a cybersecurity and/or network engineering role, with a strong emphasis on solution sourcing, vendor management, and post deployment operational maintenance.
• Hands-on network administration experience is required, including configuration, maintenance, and troubleshooting of enterprise routers and switches
• Hands on experience with network devices (e.g., Cisco, Juniper, Fortinet, Palo Alto) and various security tools.
• Strong understanding of TCP/IP, routing protocols (BGP, ISIS, OSPF), VLANs, VPNs, and wireless technologies.
• Proficiency in configuring and managing firewalls, IDS/IPS, and other security appliances.
• Knowledge of common attack vectors, security vulnerabilities, and defensive strategies.
• Familiarity with scripting languages (e.g., Python, PowerShell) for automation and security tasks.
• Experience with operating systems (Windows, Linux, UNIX).
• Understanding of cryptography and secure communication protocols.
• Excellent analytical and problem solving skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non technical stakeholders, and effectively liaise with and manage external vendors.
• Ability to work independently and as part of a team in a fast paced environment.
• Detail oriented and highly organized.
• Proactive and eager to learn new technologies.

Certifications (Highly Valued):

• CompTIA Security+
• CompTIA CySA+
•  (ISC)² CISSP (Certified Information Systems Security Professional)
• Cisco CCNA, CCNP Security, or CCIE Security
• Certified Ethical Hacker (CEH)

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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-%28International-Dispute-Resolution%29/29991-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 one-year Research Fellow 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;
• Publications in top tier peer-reviewed journals;
• Development and implementation of conferences, seminars, workshops, and trainings related to international dispute resolution.

The IDR Research Fellow can look forward to working in a small team with a short reporting line and interactions with practitioners in the field. The successful candidate will also have the opportunity to collaborate with other CIL research teams and experts, and to attend conferences and workshops.

Qualifications

• A PhD in relevant area of international law or equivalent experience;
• At least 2 years of working experience;
• Proven records in conducting independent research;
• Strong analytical and writing skills - experience with publication of journal articles is desirable;
• Ability to produce academic writing as well as background papers/reports;
• Demonstrable interest in public international law and dispute resolution;
• Strong organisational and communications skills;
• Fluent language skills in English are required;
• Pro-active personality, with the ability to make suggestions and be a hands-on contributor; and
• Tech-savvy.

Application Procedures

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 detailed CV (no more than 3 pages);
• 1 sample of written work; and
• Names and contact details of 4 referees, including PhD supervisor

Please note that only shortlisted candidates will be notified and invited for an online Zoom interview.

Job Responsibilities:

• Implement the program for the class
• Able to teach English and / or Science - Primary 1 to Primary 6 or PSLE class
• Conduct MindChamps unique enrichment programmes for English, and / or Science and align to latest MOE syllabus
  .
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability
• prepare Half-Yearly Progress Reports with actionable improvement plans
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Provide timely and constructive feedback to learners on their academic performance
• Communicating learner progress and recommendations with Parents in a professional and empathetic manner.

• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.
• Teaching qualification or experience in MOE schools, tuition centres, or enrichment centres preferred.
• Familiarity with the latest MOE Primary curriculum is essential.
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.

The Singapore national program for the utilization of artificial intelligence (AI) in Drug Discovery (AIDD), funded by the Singapore National Research Foundation (NRF) and hosted by the Singapore Agency for Science, Technology and Research (A*STAR) seeks a talented and motivated Senior Software Engineer to join our innovative drug discovery team. AIDD will develop novel machine learning models and algorithms towards the discovery and validation of drug targets, biomarkers, and molecular entities as therapeutics. A cornerstone of our program is the AIDD LeadFactory, a central technology platform specifically designed for AI-driven medicinal chemistry. This cutting-edge facility provides the computational and experimental infrastructure to translate AI-generated insights into tangible chemical matter, enabling rapid iteration and validation in the drug discovery pipeline.

As a Senior Software Engineer, you will play a pivotal role in developing and optimizing the computational tools and infrastructure that power our research, with a strong focus on leveraging and developing the capabilities of the AIDD LeadFactory.

Key responsibilities:

• Design, develop, and maintain robust, scalable, and efficient software solutions for various stages of the drug discovery pipeline (e.g., cheminformatics, bioinformatics, molecular modeling, data analysis).
• Collaborate closely with computational chemists, biologists, data scientists, and other engineers to translate scientific requirements into technical specifications and deliver impactful software.
• Implement and optimize algorithms for large-scale data processing, scientific simulations, and machine learning models.
• Contribute to the development and maintenance of our internal computational platforms and infrastructure.
• Ensure code quality, test coverage, and documentation for all developed software.
• Stay up-to-date with the latest advancements in software engineering, computational chemistry, and drug discovery.

Requirements:

• B.Sc., B.Engr. or advanced  degree in Computer Science, Software Engineering, Computational Chemistry, Bioinformatics, or a related field.
• Minimum 5 years of industry experience in software development.
• Proficiency in programming languages commonly used in scientific computing (e.g., Python, C++, Java, R).
• Experience with scientific libraries and frameworks (e.g., RDKit, OpenEye, NumPy, SciPy, Pandas, scikit-learn, TensorFlow/PyTorch), and web-based software platforms.
• Familiarity with relational and/or NoSQL databases.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong problem-solving skills with excellent communication and teamwork skills
• Successful applicants will be appointed at a suitable level within the team, with the title and remuneration commensurate with qualifications and professional experience.

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

Benefits Included:

Weekly salary disbursement

CPF contributions

Job Description:

Fixed 5.5 working days weekly

Flexibility to use your own bike or rent ours

No previous experience needed

Must possess a Class 2B licence

⚠️ Limited intake — act quickly!

- E

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

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-%28Chemical-Imaging-and-nanocatalysis%29/32625-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

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-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
•    The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record;
•    Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Jan 2025

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

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

The project is on development of cultivated meat to support Singapore’s aspiration of 30 by 30. There are 3 institutions involved in this project; NTU, SIT and IHPC (A*Star). The project aims to use simulations and digitalization to guide the development and production of cells encapsulated scaffolds for the cultivated meat research.

We are looking for Research fellows to support the research projects. The research fellows will work closely with the other institutes to integrate their systems into the processing of fibrous muscles.

Key Responsibilities:

• To develop muscle bundles for cultivated meat using tissue engineering and mechanotransduction platforms

• To handle bioreactors for dynamic culture of the muscles and fats

• To support research work on biological aspects of alternative protein technology.

Job Requirements:

• PhD Degree in cultivated meat; tissue engineering, and related degrees

• Experience in cell culture and differentiation, mechanotransduction, cultivated meat will be viewed favorably

• Experience in the use of bioreactors and equipment design for tissue engineering and cultivated meat projects are also highly favored

• The candidate is expected to oversee the progress of various related projects

• A team player, work well with others

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research%C2%A0Fellow%C2%A0in%C2%A0Quantum-Error-Correction/32603-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

A short-term postdoctoral research fellow position on the topic of quantum error correction is available in the group of Associate Professor Hui Khoon Ng at the Centre for Quantum Technologies (CQT) in Singapore. 

The project focus is on numerical simulations of relevance to quantum error correction, including understanding the performance of error correction protocols on noisy hardware devices. Stabilizer simulations will be the key tool, and we will expand on the recent work within the group on simulating general noise within the stabilizer formalism. 

The group of HK Ng works on bridging the gap between quantum error correction and hardware realities. It is housed in the CQT campus within the National University of Singapore.The research fellow can expect to help with the mentoring of students in the group.

Qualifications

• The candidate should have a strong track record in carrying out independent research in quantum error correction and numerical simulations.
• A PhD in a quantum science field is required. 
• Prior experience with stabilizer simulations is a must.

Job Description:

IMH is looking for intermediate operations research data analysts/scientists who are passionate about healthcare analytics to expand the hospital’s analytic capabilities.

Successful candidates will be imbedded in an experienced analytics team that will be overall responsible for managing projects and their deliverables. This will afford the candidate an opportunity to gain experience related to the role of OR in change management, process improvement, and policy planning. They will work with an existing team of seven data engineers and biostatisticians to improve the utility of information derived from existing databases. They will also work with clinicians and hospital administrators to develop models and simulations geared toward resource optimisation, performance improvement and scenario testing. 

In addition to building simulations and maintaining models, the position will require the candidate to help the hospital expand its existing human capital by sharing their knowledge and operations research experience with the data- engineering team in which they will be imbedded. Successful candidates will have a keen interest in supporting the development of colleagues.

Candidates must be familiar with major operations research methods, such as, optimization (e.g. linear programming), forecasting (e.g. exponential smoothing and autoregressive models), stochastic processes (e.g. Markov Chains) as well as simulation models (e.g. Monte Carlo and discrete-event). In addition, they should also be competent in the associated tools and platforms, including Anylogic, as well as key programming languages such as Python and SQL.

Successful candidates are expected to complete work of a quality that would stand up to peer review.

Candidates will be expected to adhere to a strict code of ethics and to familiarize themselves with PDPA regulations.

Job Responsibilities:

1. Lead operations research and analytic projects designed to deliver insights into hospital-wide operational and clinical issues. This includes sourcing meaningful projects from the clinical and operations teams, plan appropriate analytic and modelling approaches, directing and supporting the collection/sourcing of appropriate and relevant data, construct the models and simulations, assess model robustness and validity, interpret simulation results and disseminate insights to relevant stakeholders.
2. Develop stakeholder buy-in for proposals and adoption of simulation-generated insight. This involves general stakeholder management to help disseminate lessons learned from the simulations.
3. Develop and support time-in-motion studies to generate data needed to develop models. Additional resources are available to do actual data collection.
4. Assist in the upskilling of staff to widen the data literacy of IMH staff.
5. Able to commit working till end of contract. Please indicate travel plans (if any).

Requirements:

Competency

1. Familiarity with Markov models, Discrete event simulation and Agent-based modeling necessary.
2. Comfort with stakeholder engagement, leading discussions, and knowledge dissemination.
3. Training in Anylogic, and python preferred.
4. Background in mental health/psychiatry is not absolutely necessary but previous experience in health service research preferred.

Educational and Professional Requirements

1. Minimum completed BSc in Operational Research/Statistics/Data science. MSc would be an advantage

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power converter topologies and control schemes for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic / Control Engineering or related field.
• 5+ years’ experience with control theory, digital control and signal processing.
• Strong understanding of common power electronic architectures (DC/AC, DC/DC, etc) and control methods.
• Expertise of MATLAB/Simulink, embedded software (C/C++), architecture design and software version control.
• Solid understanding of microcontroller architectures, sensors, and communication protocols.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Simulink, Python, LTspice, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us

Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams. Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next-generation infrastructure. Opportunities to publish, patent and innovate designs for future products. Competitive compensation, research autonomy and a continuous learning culture.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

For more details, please view https://earthobservatory.sg/

We are looking for a Research Assistant to support interdisciplinary research on Singapore’s coastal ecosystems. The role focuses on field, laboratory, and analytical work to evaluate the capacity of mangrove and coral reef systems to provide sustained protection under climate stress, including sea-level rise and marine heatwaves.

Key Responsibilities:

• Conduct fieldwork in mangrove and coral reef environments, including sediment core collection and ecological surveys

• Perform sedimentological, palaeoecological (pollen), and geochemical analyses (e.g., TOC, carbonate)

• Deploy and maintain environmental sensors (e.g., temperature loggers) and analyse associated datasets

• Apply microscopy and GIS-based spatial analysis for habitat mapping and data interpretation

• Support data analysis, scientific reporting, and manuscript preparation

• Assist with project logistics, procurement, and coordination of field and lab activities

Job Requirements:

• Bachelor’s degree in Environmental Science, Geoscience, Marine Science, or related field

• Experience in field and laboratory work in coastal or marine environments

• Familiarity with sediment analysis, palaeoecology, or geochemical techniques preferred

• Proficiency in GIS and/or data analysis tools (e.g., R, Python)

• Strong organisational, communication, and teamwork skills; ability to work in challenging field conditions

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

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

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements
- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set outin the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1770602 (Teng Min Yee)

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-%28Chemical-Imaging-and-nanocatalysis%29/32606-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Complete literature reviews and studies to explore existing and future control systems.
• Identify problems, future needs or market gaps to establish areas of further work.
• Design, model, and simulate advanced control algorithms for power converters, electric drives, and energy systems.
• Implement control software on embedded platforms (DSPs, MCUs, or FPGAs).
• Integrate real time diagnostics, fault detection and control loops with sensors, actuators and communication interfaces in real hardware to demonstrate feasibility.
• Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Electrical / Electronic / Control Engineering or related field.
• Strong experience with control theory, digital control and signal processing.
• Understanding of common power electronic architectures (AC/DC, DC/AC, DC/DC, etc) and control methods.
• Knowledge of MATLAB/Simulink, embedded software (C/C++), architecture design and software version control.
• Solid understanding of microcontroller architectures, sensors, and communication protocols.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Simulink, Python, LTspice, etc.)
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from recent graduates to seasoned professionals.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power converter topologies and control schemes for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic / Control Engineering or related field.
• 8+ years’ experience with control theory, digital control and signal processing.
• Strong understanding of common power electronic architectures (DC/AC, DC/DC, etc) and control methods.
• Expertise of MATLAB/Simulink, embedded software (C/C++), architecture design and software version control.
• Solid understanding of microcontroller architectures, sensors, and communication protocols.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Simulink, Python, LTspice, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us

Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams. Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next-generation infrastructure. Opportunities to publish, patent and innovate designs for future products. Competitive compensation, research autonomy and a continuous learning culture.

About the Role

We’re seeking a curious, driven, and detail-oriented intern to support our research and marketing initiatives. This hybrid role blends analytical rigor with creative storytelling—ideal for someone eager to explore market trends, shape brand narratives, and contribute to strategic campaigns.

Key Responsibilities

Research & Analysis

• Conduct market research on industry trends, competitors, and emerging technologies
• Support development of white papers, reports, and strategic briefs
• Assist in synthesizing data into actionable insights and visual formats

Marketing & Communications

• Contribute to content creation across digital channels (social media, newsletters, blog posts)
• Assist in campaign planning, execution, and performance tracking
• Help maintain brand consistency across platforms and materials

Cross-functional Collaboration

• Work with design, product, and strategy teams to align messaging and insights
• Participate in brainstorming sessions and contribute fresh ideas

Qualifications

• Currently pursuing a degree in Real Estate, Economics, Marketing, Business, Communications, or related field
• Strong interest in research and writing skills
• Creative mindset with attention to detail and visual storytelling
• Proficiency in Microsoft Office, Google Workspace, and social media platforms
• Bonus: Experience with Canva, Adobe Creative Suite, or data visualization tools

What You’ll Gain

• Hands-on experience in a fast-paced, impact-driven environment
• Exposure to strategic marketing and industry research processes
• Mentorship from experienced professionals
• Opportunity to contribute meaningfully to real-world projects

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/Senior-Research-Scientist-Remote-Sensing-Technology-&-Applications/32601-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will be responsible for leading research programmes in remote sensing technology and applications. He/she is expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects. 

Experience in one or more of the following research areas will be advantageous:
* Atmospheric remote sensing : Atmospheric radiation, aerosols and clouds, particles/gases transport/dispersion modeling. 
* Aquatic remote sensing: Ocean optics, water quality, bathymetry and sea bottom characterization.
* Terrestrial remote sensing: Regional land cover/vegetation/biomass mapping, biomass burning, land use/Land cover change.
* Sensing technology and applications: Synthetic aperture radar, hyperspectral imaging, high resolution 3D modelling and precision mapping.
* Machine learning and artificial intelligence techniques for remote sensing applications.

Qualifications

• A Doctoral Degree in Science, Engineering, or in other relevant disciplines with at least 8 years of research experience in remote sensing or related fields.
• Ability to lead a team of researchers as a Principal Investigator in various research projects.

Other qualities we are looking for:
* In-depth knowledge of advanced digital data/image processing techniques and applications 
* Solid experience and skill in scientific and engineering computing 
* Ability to develop and implement data/image processing and/or machine learning algorithms