Total 11 technology development job vacancies in Education / Training category in George Town

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-Associate-%28MET-Product-Development-Timber-Engineering%29/33264-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture, Department of Civil and Environmental Engineering, and Department of Built Environment are jointly conducting research on harnessing regional tropical timber/bamboo for sustainable and durable mass engineered timber (MET) products for the Tropics. We are looking for one candidate who can contribute in the following areas:

•    Prototyping and Adhesive Testing
•    Timber/Bamboo Grading and lamellar strength determination/classifications guidelines
•    Range of product sizes and configurations and their respective design data/properties for Glulam / CLT / Laminated Bamboo Lumber (LBL)
•    Factory production control and audit practices / requirements
•    Assist in technical studies on the different timber and non-timber /MET products
•    Assist in preparing manuscripts for academic journal articles, filing of patents and/or conference presentations.
•    Assist PI and Co-PIs in general administrative management of the research project.

Duration of Appointment:
Up to 2 years contract, with possibility of renewal.

Gross Monthly Salary Range:
Salary will be commensurate with the candidate’s qualification and experience.

Estimated no. of work hours per week:
42 h/week (Fulltime appointment)

Qualifications

Essential requirements:
- Qualified to Master level or higher degree in MET Product Development / Timber Engineering and/or related discipline.
- At least 2 years’ relevant work experience and good knowledge, skills and expertise in relevant field
- Demonstrated ability to conduct and publish high-quality research
- Strong analytical, writing, and communication skills in English, and able to produce clear reports/recommendations
- Strong project execution skills, including procurement/logistics coordination
- Experience with MET product development (min. 1 year).
- Excellent communication skills with diverse collaborators and specialists.
- Ability to work independently.

Added Advantage:
- Familiarity with Asia-Pacific forestry industries and/or tropical timber/bamboo species and markets
- Basic knowledge of Bahasa Malay, Bahasa Indonesia, Japanese or Chinese for communication with Asian foresters / manufacturers
- Proven experience engaging industry stakeholders to obtain data and information

Application deadline:
15th Jul. 2026 (Till the position filled).

Application
Please consolidate the following documents as one PDF document and email it to the NUS Career Portal. Kindly indicate “Application to Research Associate (MET Product Development / Timber Engineering)” in the email subject title
a)    Cover letter
b)    Curriculum Vitae (CV) including full publication list and last drawn salary
c)    Personal Statement (one page) about research interest, career goals, relevant experience and motivations for applying for this position, and
d)    Names and contact information of 3 references (PhD supervisor or collaborators are allowed)

Appreciate your understandings in advance that only selected qualified applicants will receive responses. Shortlisted candidates may also be asked to submit additional documents for our considerations, if necessary.

Project Overview

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

Responsibilities

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

Requirements

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

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

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

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-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), foundational Computer Vision (CV) models, and agentic AI to address real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

Role Overview
Drive workforce capability development in advanced manufacturing by shaping training strategies, evaluating course effectiveness, identifying industry needs and gaps, and building strong partnerships with training providers and institutions.

Key Responsibilities

·       Lead the review and enhancement of training programmes to ensure alignment with evolving industry needs, emerging technologies, and best practices in areas such as Industry 4.0, AI, and sustainable manufacturing

·       Identify skills gaps and emerging training demand by analysing industry trends and mapping of the training landscape across sectors

·       Facilitate the development and continuous improvement of new or customised training programmes in collaboration with IHLs and training providers

·       Establish and manage partnerships to expand the reach, adoption, and impact of training

Requirements

·       Degree in Science, Technology, Engineering, Business, or a related field; Fresh graduates with a strong passion for workforce capability development are encouraged to apply

·       Good understanding of Singapore’s workforce training ecosystem and Skills Framework (SSG)

·       Knowledge and skills in training programme development, curriculum design, or workforce capability building

·       Familiarity with advanced manufacturing domains (e.g. digitalisation, AI, smart manufacturing, sustainability); Knowledge and practical skills in AI tools (e.g. data analytics, automation, generative AI) will be an added advantage.

·       Strong analytical and problem-solving skills, with the ability to translate industry needs into impactful programmes

·       Excellent communication and stakeholder management skills, with experience engaging industry and training providers

·       Proactive, adaptable, and self-driven to deliver meaningful impact

Job Description

We are seeking for a highly motivated and talented ResearchOfficer/Laboratory Officer to join our Translational Retinal ResearchLaboratory as a Stem Cell Biologist. The successful candidate will contributeto the development, characterization and application of stem cell-derivedretinal cells for the treatment of Age-related Macular Degeneration.

Responsibilities

• Assist in the development and differentiation of stem cell-derived retinal cells.
• Perform cellular and molecular characterization of retinal cell types using advanced laboratory techniques.
• Contribute to experimental design, data analysis, and documentation of research findings.
• Collaborate with team members on translational research aimed at therapeutic application.
• Maintain accurate and detailed records of experiments and results.
• Operate and maintain specialized lab equipment and ensure compliance with lab safety standards.
• Assist in general lab administrative duties, such as maintenance of lab stock and procurement.

Job Requirements

• Bachelor’s degree in biology, Biomedical Science, Biotechnology, or a related field.
• Strong interest in stem cell biology and regenerative medicine.
• Practical experience in cell culture and molecular biology techniques (e.g., PCR, immunostaining, microscopy).
• Excellent organizational skills and attention to detail.
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a collaborative research team.
• Previous experience with stem cell culture or retinal biology is advantageous but not essential.

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 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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.

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-Associate-%28Full-Stack-Development%29/32474-en_GB/

We regret that only shortlisted candidates will be notified.

Position Overview

A/P Chen Ying from Mathematics Department, National University of Singapore is seeking a highly motivated and technically proficient Research Associate (Full-Time) to lead the end-to-end design and development of interactive systems for cutting-edge optimization and machine learning (ML) models. This role is pivotal in "translating" complex academic research into functional, high-fidelity web applications and interfaces. You will work at the intersection of applied software engineering, user-centered design, and AI systems.

Major Responsibilities
•    Full-Stack Development: Lead the design and implementation of intuitive UIs and robust backend architectures for ML models.
•    System Integration: Build and maintain data collection pipelines and experimental setups that bridge backend mathematical models with frontend interfaces.
•    Architecture & Scaling: Maintain clean, scalable codebases and assist in the deployment of research tools to cloud or edge environments.
•    Rapid Prototyping: Develop high-fidelity UI prototypes through iterative, user-centered design cycles.
•    Collaboration: Actively participate in lab meetings and workshops with professors, research fellows, and industry partners.

Qualifications
•    Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field, with at least 2 years of relevant work experience.
•    Strong experience with modern web frameworks, with a preference for React.js.
•    Proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
•    Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL solutions (e.g., MongoDB).
•    Proficiency in version control (Git) and modern development environments (VS Code, PyCharm, etc.).
•    Ability to explain technical trade-offs to a multidisciplinary team.

Preferred (Bonus) Skills
•    Experience in designing and consuming APIs Design.
•    Experience with human-centered design
•    Exposure to machine learning pipelines (Scikit-learn, PyTorch, or TensorFlow) and model deployment.
•    Experience with containerization (Docker) and cloud services (AWS, Firebase, or similar).

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.