Total 2,483 Science / R&D / Research job vacancies

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32611-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2832626%29/32626-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy at the National University of Singapore invites applications for a full-time Research Assistant position for the period of August 2026 to July 2027.  The Research Assistant will work under the supervision of Dr. Dean Dulay, Assistant Professor at the Lee Kuan Yew School of Public Policy.  The successful candidate will support an active research program in comparative politics, with a thematic focus on state formation, colonial political development, governance, and public opinion in Southeast Asia and beyond.

• Conduct and synthesize literature reviews
• Assist in the design and implementation of survey and experimental studies
• Support multi-country data collection and fieldwork
• Carry out qualitative and quantitative data analysis
• Contribute to the preparation of manuscripts for submission to peer‑reviewed journals
• Assist with interview coordination and transcription as part of ongoing fieldwork activities

Qualifications

• Bachelor’s degree or higher in Political Science, Public Policy, or a related social science discipline
• Prior research experience in comparative politics or Southeast Asian studies (advantageous)
• Proficiency in quantitative data analysis preferred
• Working knowledge of statistical software, particularly Stata and R, strongly desirable
• Detail-oriented, self-directed, and capable of managing multiple tasks across concurrent projects in a fast-paced research environment
• Due to nature of the role, strong written and oral communication skills in English required

This is a one‑year, full‑time appointment based in Singapore, with the possibility of extension subject to performance and funding availability.

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-%28Membrane%29%2C-ChBE/32607-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (membrane) positions in the Department of Chemical Engineering at National University of Singapore (NUS). 
With a strong focus on industry-driven projects, our team is advancing high-impact membrane solutions beyond the laboratory scale toward real-world deployment.

As a Research Fellow, you will work on an industry-funded project focussing on scaling up advanced membrane systems for carbon capture applications. The role involves designing, optimizing, and scaling membrane modules and testing platforms. We are seeking independent, talented, and experienced individual who is motivated to translate research into practical technology.

Candidates interested in entrepreneurship and startup environments are strongly encouraged to apply.

Key Responsibilities
-    Lead the design and fabrication of membrane modules for gas separation applications.
-    Fabricate hollow fiber membranes via spinning processes for gas separation.
-    Scale up hollow fiber membrane and module fabrication from laboratory to pilot scale.
-    Design and build testing setups for hollow fiber membrane gas separation systems.
-    Conduct membrane performance testing for carbon capture applications.
-    Liaise with manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production.
-    Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab.
-    Perform process simulation and optimization using tools such as Aspen HYSYS.
-    Conduct CFD simulations to optimize membrane module design.
-    Develop and improve experimental and modeling workflows for membrane scale-up.

Job Requirements

-    PhD in Chemical Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
-    Strong knowledge of membrane materials, membrane chemistry, and gas separation mechanisms.
-    Experience in hollow fiber membrane spinning and module fabrication for gas separation applications.
-    Experience in membrane testing and characterization for gas separation systems.
-    Experience working with polymeric or crystalline materials (e.g., MOFs, ZIFs, COFs) is preferred.
-    Additional experience in membrane technology scale-up is an advantage.
-    Familiarity with Aspen HYSYS, COMSOL (CFD), or MATLAB is beneficial.
-    Highly motivated, detail-oriented, and able to work both independently and collaboratively in a fast-paced research environment.
-    Not afraid to experiment and enjoys hands-on tinkering.
-    Thinks critically and develops customized solutions to troubleshoot problems.
-    Interest in entrepreneurship or startup ventures is encouraged.
-    Fluent in English (written and spoken).

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

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-%28Gen-AI%29/32610-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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.

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.

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.

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.

Job Description

The National Quantum Federated Foundry (NQFF) is advancing the frontiers of solid-state quantum technologies through the design and fabrication of high-performance quantum devices. We are seeking a motivated and capable candidate to join our efforts in superconducting qubit measurements. This role involves the design, simulation, and implementation of microwave packaging, high-frequency PCBs, and electromagnetic shielding to enable high-fidelity qubit control and readout. The successful candidate will contribute to device characterization, cryogenic measurements, and data analysis to evaluate qubit performance. You will also collaborate closely with the team on cryogenic setup development and qubit design/fabrication.

Main Responsibilities:

• Design, simulate, and validate microwave packaging, RF PCBs, and EM shielding for superconducting qubit devices
• Perform low-temperature qubit measurements, including protocol development, calibration, and data interpretation
• Contribute to technical documentation, research publications, and internal reporting
• Collaborate with a multi-disciplinary team of researchers

Job Requirements:

• A PhD degree in experimental physics, materials science, engineering, or related fields
• Hands-on experience with quantum device measurements, ideally involving superconducting qubits or other types of solid-state qubits
• Familiarity with cryogenic systems, including understanding of thermal management and wiring in cryostats
• Strong analytical and problem-solving skills
• Effective communication skills, both written and oral
• Demonstrated ability to work independently as well as in collaborative team environments

In addition, preference will be given to those having experience in:

• Design and integration of custom mechanical parts for cryogenic environments
• Experience with dilution refrigerators
• Proficiency in simulation and programming tools, such as Python, COMSOL, or HFSS

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.

Established in 2011 in a joint effort by the Maritime and Port Authority (MPA), the Agency for Science, Technology and Research (A*STAR) and the Singapore Economic Development Board (EDB), SMI develops strategies and programmes to achieve its mission with key focus areas in sectors such as port, shipping and maritime services. SMI charts the maritime research strategy and promotes greater industry-academia R&D collaborations to be undertaken in Singapore.

Roles and responsibilities

We are seeking for a Senior Manager, to be part of our R&D team, to strive towards our Mission in establishing Singapore as a leading global maritime research centre of excellence in Next Generation Port, Smart Shipping, and Green Technologies.

You will support the Deputy Executive Director and work with a team of R&D managers to strengthen R&D collaborations between our maritime industry and academia partners.

What you will be working on:

The key responsibilities will include:

Strategy Planning

· Map out latest developments and carry out gap analyses in science and technologies relevant to maritime domain, and identify new emerging areas for Singapore’s maritime strategic interests;

· Develop strategies, initiatives and programmes for the translation, deployment, commercialisation, and internationalisation of maritime R&D through engaging government agencies, Institutes of Higher Learning (IHLs), Research Institutes (RIs), maritime companies and other relevant stakeholders

Initiatives and Programmes

· Plan and implement R&D programs and initiatives;

· Evaluate R&D proposals submitted or led by IHLs/RIs;

· Oversee and manage performances of maritime Centres of Excellence and Programme Partners;

· Manage awarded projects and budgets, including variations to budget/ project duration/ project-lead, collation of reports, and review of completed projects.

Engagement

· Engage potential overseas IHLs/RIs to identify synergies, coordinate maritime R&D collaborations, and facilitate multilateral R&D engagements for impactful joint initiatives.

· Engage companies in the maritime industry to understand their technology and business needs, partnering with key stakeholders to showcase local R&D capabilities, and facilitating research opportunities by harmonizing industry needs with local R&D capabilities;

· Drive partnerships between the research ecosystem and industry, and to catalyse technology commercialisation, focusing on industry collaboration projects and translation platforms in the maritime domain

· Plan and organise engagement visits to project partners

Other Duties:

· Oversee R&D processes to ensure compliance with established funding policies and procedures;

· Manage internal R&D capability development and resourcing;

· Represent SMI in R&D matters, when required or any other ad hoc duties assigned.

Qualification and Experience

a. Background in science and engineering fields with 5 years of relevant working experience, of which 3 years are in supervisory and developmental capacity;

b. Experience in R&D strategy formulation, technology fore-sighting / road mapping, technology translation, and/or good working knowledge of the R&D landscape in Singapore.

c. Experience with grant governance and administration e.g. funding guidelines or compliance requirements;

d. Strong interest in applied science and technology R&D and research community engagement;

Skills

a. Proficient in Microsoft Office and grant management software (e.g. Oracle Netsuite);

b. Good analytical skills, with an ability to take a strategic perspective when formulating proposals and recommendations;

c. Excellent interpersonal, communication and presentation skills for effective engagement of senior stakeholders, partner agencies, IHLs/RIs and companies;

Proven planning and organisational abilities.

ABOUT THE ROLE
SIMTech is seeking a highly motivated, independent, and innovative Energy Systems Analyst to join the Sustainability Informatics & Strategy (SIS) Group. Candidate will play a crucial role in developing and applying energy system models that underpin national decarbonisation strategies. This role is ideal for someone who enjoys mathematical modelling, data and policy analysis, and translating complex system dynamics into actionable insights for stakeholders.

JOB DESCRIPTION

Key Responsibilities

• Develop and calibrate a national-level energy system model used to identify decarbonisation pathways for Singapore
• Gather user requirements and integrate multiple data streams, such as techno-economic parameters and policy constraints, into modelling framework
• Perform techno-economic and environmental analysis of energy systems
• Conduct scenario analysis and sensitivity testing to assess the robustness, cost, and emissions impact of different decarbonisation pathways
• Visualise and communicate complex modelling results to non-technical stakeholders
• Engage with government agencies and industry partners to validate assumptions, align model objectives with strategic needs, and translate model outputs into policy recommendations

Qualification and relevant experience

• PhD in systems engineering, energy economics and policy, operations research, industrial ecology or a related field
• Familiarity with energy systems model-generators such as TIMES, LEAP, OSeMOSYS, PyPSA, PLEXOS, or other relevant software platforms used for optimisation of energy systems
• Proficiency in programming languages (such as Python, GAMS, R) and data analysis/visualisation tools
• Experience with techno-economic assessment of energy systems, lifecycle analysis or other sustainability related topics
• Experience with sensitivity analysis, robust decision making, or uncertainty quantification
• Interest in computable general equilibrium (CGE) modelling is a plus
• Knowledge of Singapore’s and Southeast Asia’s energy policy context and industrial ecosystem is a plus
• Strong verbal and written communication skills, with the ability to explain technical findings to interdisciplinary teams and stakeholders
• Diligent and possess a positive work attitude
• Willingness and ability to learn new energy system models, methodologies, and tools to adapt to evolving research needs and technological advancements 

Candidates from adjacent fields in sustainability, with willingness and ability to translate expertise into the energy and emissions domain and to learn energy systems modelling are strongly encouraged to apply.

We invite committed and suitably-qualified candidates passionate about teaching to join us as full time teachers.

Training will be provided for full-time teachers.

Full time teachers have to work on both weekends. Off days will be on weekdays.

Job Responsibilities:

• Teaching Subjects: Chemistry and Physics at GCE O/A level and general sciences
• Teach in small groups ranging from 2 to 18 in class size.
• Encourage learners on their learning journey and nurture their self-esteem
• Track progress of students and provide feedback to parents
• Ad-hoc work: updating of teaching materials and conduct labs

Job Requirements:

• Good communication skills in English
• University degree in relevant subject
• Familiar with MS Word
• Committed to help learners improve
• Able to work on weekends

Job Responsibilities:

As an Education Officer, you will be instrumental in delivering exceptional education and inspiring our students. Your key responsibilities will include:

• Curriculum Delivery: Develop and deliver engaging, effective, and well-structured lesson plans that cater to the diverse learning needs and academic levels of students in secondary, junior college, and IB settings.
• Student Support: Provide individualised support, guidance, and constructive feedback to students to help them understand complex concepts, overcome challenges, and reach their full academic potential.
• Curriculum Enhancement: Collaborate actively with the wider education team to continuously review, improve, and innovate our curriculum and teaching methodologies, ensuring relevance and effectiveness.
• Record Keeping & Communication: Maintain accurate and up-to-date student records, track progress, and provide timely, constructive feedback to both students and their parents/guardians.
• Professional Growth: Actively participate in professional development opportunities, workshops, and training sessions to continuously enhance your teaching skills, pedagogical approaches, and subject matter knowledge.

Job Requirements:

We are looking for a passionate and dedicated Education Officer who meets the following criteria:

• Educational Background: A relevant Bachelor's degree in Education or a specific subject area.
• Teaching Experience: Proven experience in teaching secondary, junior college (JC), or International Baccalaureate (IB) setting.
• Pedagogical Expertise: Strong pedagogical skills with a genuine passion for making learning engaging, accessible, and enjoyable for students of all abilities.
• Continuous Learning: A strong commitment to continuous learning and professional development within the field of education. Mentorship programs are available to support your growth.
• Communication & Interpersonal Skills: Excellent communication and interpersonal abilities, with a proven track record of building strong rapport and positive relationships with students, parents, and colleagues.

Benefits & Remuneration:

• Attractive Salary Package + Incentive: We offer a competitive salary package commensurate with your experience and qualifications, along with performance-based incentives.
• Working Days: 6-day work week, comprising 4 weekdays and 2 weekend days.
• Working Hours:
• Weekdays: 4:00 PM to 9:00 PM (Teaching schedule based on roster).
• Weekends: 9:00 AM to 6:00 PM.
• Convenient Location: Our campus is conveniently located at Holland Campus, easily accessible via MRT.
• Professional Growth: Opportunities for professional development and a supportive learning environment.