Total 58 Education / Training job vacancies

This is a call for hiring researchers to conduct high quality research in the area of quantum thermodynamics, in particular questions of bridging different theoretical frameworks, finding applications in many-body physics, or generalizations of the resource-theoretic approach to account for practical aspects of quantum thermodynamics.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirement:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the extension of resource-theoretic quantum thermodynamics to account for practical considerations

  Exploring the applications of theoretical quantum thermodynamics to study many-body systems

  Establishing the precise role of catalysis in quantum thermodynamics

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

This is a call for hiring researchers to conduct high quality research in the area of quantum resource theories, in particular areas of interest such as (but not limited to) catalytic resource theories, bridging different existing theoretical thermodynamics frameworks, or studying the effects of finite-size effects on thermodynamic processes. This is in line with the mission of the university to work on cutting-edge research topics that are of both fundamental and practical importance.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct high quality research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirements:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the role of robust quantum catalytic processes

  Studying the hybridization of quantum resource theories

  Exploring the applications of theoretical quantum thermodynamics in many-body systems

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Engineer I / Research Engineer II (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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/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 

Job Description

• We are currently seeking talented individuals with:
• A PhD in many-body quantum physics or similar
• Able to do literature review and summarize the main findings from the literature
• Competence in numerical many-body quantum physics
• Competence in disseminating the outcomes of the research including in peer-reviewed academic publications of international standing
• Ability to support the research team  
• Perform other tasks as required by the Principal Investigator

Job Requirements

• To apply for this position, applicants should be:
• Proficiency or understanding many-body quantum systems out of equilibrium
• Expertise in simulating many-body quantum systems
• Proficient communication and writing skills in English
• Possess excellent problem solving abilities as well as strong attention to detail.
• Someone who can work independently while still collaborating effectively within a team environment when needed.

Job Description:

We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

Required:

• A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field. Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
• Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
• Ability to develop and modify simulation codes to model complex, multi-physics systems.
• Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
• Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Join Us at NorthLight School

At NorthLight School, we are dedicated to preparing youth for life and living—empowering every student to SHINE, regardless of their starting point. We invite passionate, mission-driven professionals to join us in making a meaningful impact on the lives of our students, both in and beyond the classroom. If you are committed to transforming lives through education, we welcome you to be part of our NLS team.

Role Summary

We are seeing a passionate and resilient Teacher, ICT dedicated to inspiring and guiding students in their educational journey. This role integrates teaching excellence, practical technology know-how, and mentorship to empower learners with essential digital competencies. Beyond classroom instruction, you will also mentor students in co-curricular activities (CCA),supporting their holistic growth and character development.

Duties and Responsibilities

• Collaborate with fellow educators and the IT support team to deliver ICT lessons effectively across academic and non-academic areas
• Identify and design appropriate support structures, strategies, and learning resources to enhance student engagement.
• Deliver technical support within the Computer Labs and provide tailored instruction to individuals and small groups according to their learning needs.
• Develop instructional materials and lesson packages that cater to varied teaching formats.
• Monitor, evaluate, and refine teaching methods and support systems to continuously improve student learning outcomes.
• Contribute actively to ICT department initiatives, projects, andassessment activities.
• Mentor and guide students in CCAs, fostering teamwork, leadership, and resilience.

Personal Competencies, Experience, and Qualifications

• Minimum qualification: Diploma in Information Technology or an equivalent field.
• A recognised teaching qualification from institutions such as the National Institute of Education (NIE), International Baccalaureate, Cambridge International Education, or Institute of Technical Education (ITE) is required.
• Proficiency in MS Office applications, fundamental computing skills, video/audio editingtools, and basic programming.
• Prior teaching experience, ideally within a specialised or technical education setting.
• Demonstrated resilience and a strong passion for working with youth.
• Effective team player with excellent interpersonal and communication abilities.

Preferred Attributes

• Teaching experience in a specialised or technical education setting.
• Recognised teaching qualification from institutions such as the National Institute of Education (NIE), International Baccalaureate, Cambridge International Education, or Institute of Technical Education (ITE).

What We Offer

• A meaningful opportunity to impact and transform students’ lives.
• A supportive and collaborative work environment.
• Professional development and training opportunities.
• The chance to contribute to both academic and co-curricular growth of students.
• 5-day work week.
• Enjoy school holiday leave and a comprehensive suite of employee benefits.

If you're excited to guide young learners through their ICT journeys andspark their interest in real-world applications—then we’d love to hear from you!

The Future Communications Translation Lab (FCTLab) at the Singapore Institute of Technology (SIT) is seeking a motivated candidate who is keen on both rigorous research and the practical application of 5G and future communication technologies. As part of the research team, you will collaborate with faculty and industry partners to drive innovation in 5G systems and their real-world use cases. Equipped with private 5G testbeds and advanced test and measurement instruments, FCTLab provides an ideal environment to develop, validate, and refine next-generation communication technologies while accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases.

Key Responsibilities

• Operate and maintain FCTLab’s 5G infrastructure, including O-RAN testbed, traditional RAN testbed, and open-source 5G testbeds.
• Design and execute experiments to evaluate 5G systems and use-case performance through simulations, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements.
• Prototype and validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities.
• Work closely with the Principal Investigator (PI), Co-PI, faculty and research team to plan, track, and deliver project milestones. Collaborate with industry partners to support real-world trials and joint research initiatives.
• Prepare technical reports and publications. Provide training and guidance to students and other researchers on 5G testbed operation, integration and performance testing.

Job Requirements

• Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field.
• Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing.
• Hands-on experience in deploying, configuring, testing and optimizing 5G systems is preferred.
• Experience in developing xApps and rApps is an advantage.
• Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash).
• Strong programming skills in Python or C++.
• Excellent analytical, technical, and problem-solving skills.
• Strong communication skills and technical writing for reports and publications.
• Self-motivated, team-oriented, and able to work independently with minimal supervision.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

COMPANY DESCRIPTION

Founded in 1978 as Singapore's first family service centre, Allkin Singapore is a community-centric social service agency that believes everyone has the potential to create positive change, regardless of age, race, or background.

Through our service offerings, strategic partnerships, and community initiatives, we unlock opportunities for vulnerable individuals and families to overcome life's challenges, build a brighter future, and inspire others to do the same.

RESPONSIBILITIES

Position Overview

The Learning Technology Executive supports Allkin's digital learning and professional development initiatives. This role focuses on designing engaging learning content, supporting learning platforms, and coordinating with trainers and subjectmatter experts.

You will play a handson role at the intersection of education, design, and technology—turning complex training content into clear, engaging learning experiences across digital, blended, and classroom formats.

Key Responsibilities

• Design and develop engaging learning experiences for professional and social service training programmes
• Convert traditional training materials into structured and interactive digital formats (e-learning, videos, activities, assessments)
• Apply adult learning and instructional design principles (e.g. microlearning, experiential learning)
• Develop and manage digital learning content using authoring tools and multimedia assets (graphics, audio, video)
• Coordinate with trainers, subjectmatter experts, and speakers on content development and course setup
• Manage development timelines, revisions, and deliverables across projects
• Support learning platform operations, including email enquiries, EDM execution, reporting, and trainers' fee processing
• Provide support for ad-hoc learning events, collaborations, and programmes

• Degree in Adult Training, Instructional Design, Education, Communications, Technology, or a related field
• Experience or strong interest in e-learning, instructional design, or digital content development
• Understanding of instructional and learning design principles
• Comfortable working with digital tools (e.g. PowerPoint, Canva, LMS platforms, basic video or authoring tools)
• Knowledge of e-learning standards (e.g. SCORM, xAPI) is an advantage
• Strong communication and stakeholder management skills
• Able to translate complex information into clear and engaging learning flows
• Detail-oriented, organised, and able to manage multiple tasks
• Curious, proactive, and open to experimentation
• Experience with LMS platforms, video production/editing, UX/UI, or project management (Nice to have)

Fresh graduates with strong portfolios, internships, or project experience are welcome to apply.

Liberte HR Services Pte Ltd is the designated recruitment partner for Allkin Singapore. As part of the hiring process, you may receive communication from them regarding this opportunity.

Why You’ll Love This Role

The candidate will work together with a multidisciplinary research team to develop novel optoelectronic nanoscale devices and develop on-demand light-matter interaction technology.

What You’ll Do

• Strong publication track record
• Strong foundation knowledge in optics/phase change materials/optoelectronics
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills.
• Good team player
• Excellent oral and written communication skills
• Prior experience with fabrication or manufacturing of optical elements or devices will be an advantage.
• Experience in FDTD or COMSOL for optics simulation will be an advantage.

Who We Are Looking For

• A PhD degree in physics/optics, materials science, and electrical and electronic engineering;

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

We have an openings for Research Fellow position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:
The Research Fellow (RF) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. The RF will be involved in projects with (1) a large NRF-funded CREATE program in collaboration with NTU and the Hebrew University of Jerusalem, and (2) the Port of Singapore.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Motion and path planning for a variety of industrial grasping applications
• Robot Navigation and obstacle avoidance using multi-modal sensor feedbak
• Design and run manipulation and grasping experiments in both laboratory environments and real application
  environments

Key requirements:
• A Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with Simulation Tools (Isaac Sim, Gazebo, etc)
• Experience with SolidWorks
• Experience with Vision systems
• Familiarity with Soft Robotics and Additive Manufacturing processes is a plus but not a requirement

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a Research Engineer to support research work under the project “Green AI”.

Job Description:

• Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and sustainability.

• Contribute to the development of practical frameworks, methodologies, or tools that translate research insights into deployable or industry-relevant solutions.

• Prepare technical reports, documentation, and presentations to communicate findings to both academic and industry stakeholders.

• Support collaboration with industry partners by aligning research objectives with practical constraints and business needs.

Job Requirements:

• Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied mathematics, or related fields).

• Demonstrated experience working with industry partners or in industry–academia collaborative projects, including translating practical requirements into research or technical deliverables.

• Strong problem-solving skills, good communication abilities, and the capacity to work effectively in cross-functional and interdisciplinary teams.

• Prior experience contributing to technical reports, patents, white papers, or research publications is a plus, but not required.

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

Responsibilities

• Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).
• Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.
• Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.
• Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.
• Participate in preparing project deliverables, proposals, and publications under funded research programmes.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor/Master in Naval Architecture, Maritime Engineering, or related field.
• Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.
• Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.
• Strong analytical ability, creativity, and interest in real-world R&D challenges.
• Good teamwork and communication skills to engage with multidisciplinary stakeholders.
• Independent, resourceful, and able to deliver under tight schedules.

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.

The Edge AI Acceleration Group at the Singapore University of Technology and Design (https://sites.google.com/view/bowang/home) is looking for a motivated Research Fellow or Research Associate to join us in pushing the boundaries of edge AI acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision.

What we’re looking for:

• A PhD/Master in Electrical and Computer Engineering or a related field.
• A strong track record of publications in software-hardware co-design (e.g., Neural Architecture Search) or computer architecture (e.g., hardware simulator design)
• Experience in event-based processing or neuromorphic computing is a strong plus

Why join us?

• Work in a flexible and vibrant research environment with state-of-the-art lab facilities.
• Collaborate with A*STAR, the most prestigious research institutes in Singapore, and leading universities worldwide for international exposure
• Enjoy competitive remuneration + excellent opportunities to grow your academic and professional profile

The Humanities, Arts, and Social Sciences (HASS) cluster at the Singapore University of Technology and Design (SUTD) invites applications a full-time, teaching-track faculty position in Economics, with focus on empirical research in areas including but not limited to:

• Behavioral economics
• Econometrics
• Macroeconomics

Research on topics relevant to design, technology or artificial intelligence is preferred. Appointments will be made on an initial three-year contract, renewable subject to review.

The successful candidate will: 

• Lead the development and teaching of new undergraduate courses in Economics for an interdisciplinary B.Sc. degree in design, artificial intelligence, and economics
• Teach courses in our undergraduate core curriculum, such as introductory courses in social science or research methods
• Contribute to interdisciplinary initiatives, in particular relating to Design and AI, through collaboration with colleagues in engineering, architecture, computer science, and design.
• Mentor students, including those working on capstone projects that connect research on human problems with technological innovation.

Applicants should have an excellent record of effective teaching at the university level. We especially seek scholars with the potential to develop new directions in interdisciplinary teaching and who are interested in collaborating with scientists and technologists. Experience in or fostering collaborations with industry or the public sector will also be considered an advantage.

About SUTD and HASS 

SUTD is a young and distinctive university with a mission to nurture technically grounded leaders and innovators. The university champions cohort-based learning and interdisciplinary pedagogy, offering degrees in Architecture and Sustainable Design (ASD), Design and Artificial Intelligence (DAI), Engineering Product Development (EPD), Engineering Systems and Design (ESD), and Information Systems Technology and Design (ISTD). At SUTD, artificial intelligence is not merely a tool but a partner in the design process; together, design and AI form the backbone of our curriculum and research. The HASS cluster plays a pivotal and critical role in the university’s commitment to world-class teaching and research excellence. The current HASS faculty brings core expertise in literature, history, theater, film studies, anthropology, communication, psychology, sociology, business, economics, and urban studies. This unique combination of interdisciplinary faculty has given rise to world-class research and teaching that contribute significantly to HASS fields as well as to interdisciplinary projects with other departments at SUTD. For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://www.sutd.edu.sg/hass/

Application Details

Candidates should submit the following materials:

• A cover letter. 
• A curriculum vitae. 
• A statement of teaching experience and philosophy. 
• Evidence of excellence in teaching, such as course evaluation score
• A writing sample of their scholarly work, such as a job market paper (for recent Ph.D. graduates) or selected publication (for more advanced candidates).
• Syllabus for a new course that would be suitable for a B.Sc. degree that focuses     on the intersection of economics with artificial intelligence.
• Names, affiliations, and email addresses of three referees. (Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation. Please have your recommenders ready to send their letters via email or Interfolio) 

Globally recognised as a leading research and technology organisation, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalisation.

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

We are looking for a Research Fellow to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization.

Key Responsibilities:

• Conduct membrane-related projects for desalination, decarbonisation, resource recovery, etc.

• Design, optimisation, construction, commissioning and operation of membrane-based desalination and water reclamation pilot-scale and lab-scale systems.

• Conduct membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based modelling.

• Publish research data and prepare project progress reports.

• Assist in the preparation of grant proposals.

• Mentor junior PhD students, master’s students and undergraduate students for their research projects.

Job Requirements:

• PhD degree from a reputable university in chemical engineering, environmental engineering, mechanical engineering, or a related field.

• Excellent journal paper publication record.

• Excellent report writing skills.

• Excellent oral presentation skills and multitasking skills.

• Excellent experience in design, optimisation, construction, commissioning and operation of membrane-based desalination and water reclamation systems.

• Excellent experience in membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based modelling.

• Relevant research experience on membrane technology and separation technologies.

• Relevant research experience on electrochemical processes and/or electrode synthesis.

• Relevant research experience in scaling up electrochemical water technology.

• Relevant research experience in the fabrication/synthesis of RO/NF/ion exchange membranes (IEMs)/organic solvent membranes and/or organic chemical synthesis, and membrane/separation process development.

• Self-motivated and able to work independently and in a team.

• Excellent interpersonal, collaboration and communication skills.

• Strong sense of responsibility for research and project delivery.

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

Globally recognized as a leading research and technology organization, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalization.

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

We are looking for a Research Assistant to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization.

Key Responsibilities:

• Conduct membrane related projects for desalination, decarbonization, resource recovery, etc.

• Assist in the design, optimization, construction, commissioning and operation of membrane-based desalination and water reclamation pilot-scale and lab-scale systems.

• Assist in conducting membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning based modelling.

• Publish research data, prepare project progress reports.

• Assist in the preparation of grant proposals.

Job Requirements:

• Bachelor degree from a reputable university in chemical engineering, environmental engineering, mechanical engineering, etc.

• Excellent report writing skill.

• Excellent oral presentation skill, multitasking skill.

• Relevant research experience on membrane technology and separation technologies.

• Relevant research experience on electrochemical processes and/or electrode synthesis.

• Relevant research experience in scaling up electrochemical water technology.

• Self-motivated and able to work on your own and in a team.

• Good interpersonal skills and communication skills.

• Strong responsibility for research.

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

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied applied artificial intelligence for industry applications as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record.
• Outstanding data analytics, mathematical, and computer modelling skills.
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

Key Responsibilities

• Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify complex sensing signals in 
  maritime space.
• Conduct literature review on deep learning algorithm for complex signals.
• Design and develop a prototype for maritime sensing
• Conduct trials and experiments to determine the success of the prototype, 
• Propose and develop trials and experiments acceptance test steps/procedures, 
• Process and analyse the data gathered from the trial and experiments.
• Prepare the final report on the trial and experiments conducted with details covering findings and analysis, as well as the recommended way ahead.
• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing, system modeling, simulation testing for both hardware and software, experimental prototyping and testing.
• Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.

Key Competencies

• Good knowledge in system modeling, programming, simulations, data analytics, experimental prototype.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Location: Singapore
Group: Surface Remanufacturing Technology (SRT), SIMTech / A*STAR

About the Group

The Surface Remanufacturing Technology (SRT) Group at SIMTech develops advanced surface engineering, coating, and finishing technologies for industrial applications. Projects are often industry-driven or competitively funded, involving both fundamental R&D and translation into practical, production-scale processes.

Role Summary

You will execute and support research in laser material processing, ranging from laser surface texturing, laser cleaning, laser micro-machining, laser peening, and laser metal deposition. The role will also involve supporting characterization work, such as optical microscope and SEM imaging, sample preparation, residual stress and fatigue life measurement, analyzing of data and compilation, and overseeing other day-to-day activities such as procurement, equipment maintenance and laboratory supervision as required.

Key Responsibilities

• Support and execute R&D efforts in laser material processing.
• Conduct experimental trials; optimise process parameters to meet functional requirements (wear resistance, water affinity, surface hardness and roughness etc.).
• Perform materials and microstructural characterisation: sample preparation (sectioning, mounting, polishing, etc.), microscopy (optical, SEM), surface energy measurements, hardness / mechanical testing, etc.
• Troubleshoot and improve process stability, texture uniformity, reproducibility, and scalability; understand failure modes and address issues.
• Collaborate with multidisciplinary teams (materials scientists, mechanical engineers, surface metrology experts) and with industrial partners for technology transfer.
• Stay up to date on emerging laser processing technologies and contribute to the evaluation and incorporation of new techniques (e.g. novel optics, process monitoring and control, simulation and modelling, machine learning).

Qualifications & Experience

Essential:

• Bachelor's degree in Materials Science, Mechanical Engineering, Surface Engineering, or a related field.
• Good foundation in optics and light properties, materials and microstructure, surface properties and composition, thermodynamics and heat transfer
• Good understanding of experimental design, such as making reasonable hypotheses, crafting experiments and optimising process parameters, collecting and data analysis and compilation
• Experienced in material characterisation tools: microscopy (optical, SEM), wear testing, hardness testing, etc.
• Good communication skills, able to work well with others, able to articulate one’s thoughts and present one's work, motivated and hardworking

Desirable:

• Knowledge of post-processes (surface chemical grafting, surface passivation, coating overlay).
• Knowledge in python or other machine learning languages; experience in software such as Autocad/Creo, Rstudio, Labview etc.
• Project management experience; ability to guide junior researchers / engineers / lab officers

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.