Total 14 Science / R&D / Research job vacancies in Tuas

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow

Join the laboratory of Zhang Baile at SPMS. We are seeking a Research Fellow to contribute to a project focused on topological photonics. Both theoretical and experimental studies are required, as part of ongoing research effort in School of Physical and Mathematical Sciences at NTU to develop new knowledge and technologies.

Key Responsibilities:

• Design and analysis of topological photonic devices

• Experimental study of topological and non-Hermitian photonic devices

• Exploration of new topics in related areas

Job Requirements:

• A PhD degree in physics or related areas, with focus on photonic materials

• At least 4 years of relevant experiences in photonic materials / technical hands-on experience in theoretical photonics

• Familiarity with non-Hermitian physics, spacetime modulation, and axion physics

• Strong written and verbal communication skills

• Minimum 4 research publications in top journals

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

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.

• Write, publish and disseminate results, including give research presentations at meetings.

• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers

• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

• Represent the research group at external meetings / seminars, either with other members of the group or alone.

• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.

• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.

• Work with industry and government partners to understand their research needs and formulate solutions.

• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.

• Help organise and actively participate in regular meetings and seminars within the group.

• Assist in raising research funds through grant applications.

• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.

• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.

• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.

• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.

• Ability to independently plan and manage a research project, including a research budget.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.

• Experience of managing a research budget.

• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract with possibility of renewal at the Centre for Research in Child Development (CRCD).

Project Title: Development of a Holistic Progress Tool for the Early Childhood Sector

Project Introduction:

This project aims to develop a “Holistic Progress” (HOP) Tool that early childhood (EC) educators can use to observe and document children’s holistic development in the second year of kindergarten. Phase 1 of the project focused on the development of the first cut of the teacher-completed HOP Tool (HOP V1) and preliminary tool completion guide. In Phase 2, HOP V1 was piloted with K2 educators and will be refined into HOP V2 based on psychometric data and stakeholder feedback. In Phase 3, HOP V2 will be piloted with a new sample of EC educators of K2 children and child outcomes assessments will be administered to examine validity evidence. In Phase 4, focus group discussions will be conducted with EC educators to gather feedback on the HOP Tool and develop the user guide. 

Requirements:

• Master Degree in psychology, early childhood education, or a related field

• Proficiency in statistical analysis and familiarity with software like R, SPSS, or Mplus

• Experience conducting assessments with preschool children

• Experience with designing instruments or assessment tools and psychometric analysis

• Experience with preparing and administering questionnaires using online survey software like Qualtrics or Redcap

• Experience with project management and data management

• Excellent communication skills, with ability to collaborate effectively with interdisciplinary teams and project stakeholders

• Background in research methodology, with experience in designing and conducting empirical studies

Responsibilities:

• Lead the preparation of protocols and instruments for administering child assessments with preschool children

• Supervise and train research staff on conducting assessments with preschool children

• Co-lead participant recruitment and coordination with preschools

• Co-lead data collection with early childhood educators, preschool children, and parents

• Lead data management tasks (including cleaning, coding, and analysis)

• Conduct data analysis using quantitative (e.g., psychometrics) and qualitative methods

• Write/prepare research reports and presentations independently

• Prepare ethics documents for institutional review boards

• Manage day-to-day operations and meticulous record keeping of the research project

• Manage research-related administrative work, e.g., purchase of materials or equipment for research

• Perform other tasks as required by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00024770
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Centre-for-Research-in-Child-Development---NIE-_R00024770)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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

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

We are looking for a highly motivated Research Fellow to lead AI for Science (AI4S) research, to develop AI software powered by large language models (LLMs) for process engineering and materials discovery, to mentor students, and to contribute to grant writing and publications.

Key Responsibilities:

• Participate in the conduct of research project with research team members to ensure completion of deliverables

• Develop LLM-based AI software to support process engineering and materials simulation and accelerate the discovery of novel materials

• Mentoring students in academic research related to AI4S

• Assist or write high quality reports and documents that consolidate research findings

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Process Engineering or related domains, with a research focus on LLMs.

• At least 1 year of experience in AI4S. International collaboration experience is preferred.

• Familiarity with legal and ethical compliance in AI4S.

• Good written and oral communication skills. Candidates with publications in both computer science and materials science are preferred.

• Proficiency in technical skills, including but not limited to Linux, Python, and PyTorch.

• Excellent leadership, communication, and organizational skills. Experience leading research projects is a plus.

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

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

The Luo Lab, based at LKCMedicine, Nanyang Technological University (NTU), Singapore is seeking a highly motivated, goal-driven, and team-oriented Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We employ interdisciplinary approaches spanning biochemistry, structural biology, virology, and cell biology. The NTU Institute of Structural Biology provides outstanding infrastructure, including state-of-the-art facilities for high-resolution cryo-EM/ET, X-ray crystallography, NMR, and a wide range of complementary biophysical techniques. We offer a dynamic and intellectually stimulating research environment that supports cutting-edge science and long-term career development. The position provides extensive opportunities for training in complementary methodologies, as well as for developing mentoring and teaching experience through close interaction with graduate students and supervision of undergraduate researchers.

Key Responsibilities:

• Conduct independent and collaborative research in structural biology and/or RNA virus–host interactions.

• Design, execute, and analyze experiments using structural, biochemical, and cell-based approaches.

• Contribute to manuscript preparation, grant writing, and presentation of research findings.

• Mentor graduate and undergraduate students and actively participate in team-based research activities.

Key Competencies and Requirements:

• A recent Ph.D. degree (or equivalent) in a relevant field, such as structural biology (cryo-EM/ET, X-ray crystallography), virology, molecular biology, or cell biology.

• Prior research experience and hands-on laboratory training in one or more of the following areas: structural biology (cryo-EM/ET), cell biology, or molecular and cellular virology.

• Strong self-motivation, excellent organizational skills, and effective written and oral communication abilities.

• Demonstrated ability to work independently while collaborating effectively within a diverse and interdisciplinary research team.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Read, understand, and summarize the latest literature on diffusion models, especially their use in sampling from un-normalized probability distributions

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for inference using diffusion models

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Participate in internal events (reading groups, seminars, etc.) as required

Job Requirements:

• Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

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

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

• Ability to design and implement new experimental methods.

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

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Implicant Pte. Ltd. is a Singapore deep-tech spin-off from NTU SPMS. We build machine learning models that are interpretable by design and run on encrypted data using fully homomorphic encryption (FHE). We are building a managed cloud platform for FHE-protected interpretable model training and inference, targeting financial services, defense, healthcare, and clinical analytics.

Key Responsibilities:

• Build and ship features across the Implicant platform end-to-end, from database migration through API to frontend, with no handoffs.

• Extend the training and inference platform (data ingestion, training jobs, Pareto frontier analysis, rule extraction, distillation pipelines).

• Maintain and grow the customer-facing dashboard (inference page, model catalogue, billing).

• Co-build the external API and Python SDK alongside the current full-stack lead.

• Implement the FHE bootstrap key onboarding flow for clients running encrypted inference.

• Wire Stripe billing and metering into the platform.

• Own backend workflows for training jobs and asynchronous compute (FastAPI with Temporal-style orchestration).

• Contribute to platform security and reliability (row-level security, authentication, audit logging).

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• 4 years of relevant experience

• Proven experience as full-stack engineer

• Effective communication and interpersonal skills to collaborate with other engineers.

• At least 3 years of full-stack experience shipping customer-facing software end-to-end.

• Strong working knowledge of Python with FastAPI (or similar) and TypeScript with a modern frontend framework (Svelte preferred; React or Vue acceptable).

• Production experience with PostgreSQL, including row-level security.

• Good understanding of Machine Learning (architecture principles and ML librairies)

• ML-literate: comfortable reading scikit-learn and PyTorch code and working with tabular machine learning workflows.

• Comfortable in a small team with direct ownership and minimal process overhead.

• Based in Singapore or willing to relocate.

We regret that only shortlisted candidates will be notified.

Job Summary:

The Channel Sales will be responsible for driving and expanding D-Link's presence in the Singapore retail and superstore channels. This role will involve managing relationships with key retail partners, ensuring the successful promotion and sales of D-Link products, and achieving sales targets. The Channel Sales will work closely with cross-functional teams to develop and execute sales strategies that maximize retail distribution, improve brand visibility, and increase revenue within the retail sector. The ideal candidate will have a strong understanding of the local retail market, exceptional communication skills, and the ability to foster long-term relationships with retail partners.

Key Responsibilities:

1. Channel Development & Management:Build and maintain strong relationships with retail partners, including superstores, IT retailers, and e-commerce platforms in Singapore.
   Identify new potential retail partners and develop new business opportunities in the channel.
   Ensure the efficient execution of sales strategies within the retail sector, driving D-Link product sales in stores and online.
   
2. Sales Target Achievement:Set and monitor sales targets for retail accounts in collaboration with the regional sales team.
   Drive channel growth and ensure the achievement of monthly, quarterly, and annual sales targets.
   Analyze sales performance, identify opportunities for growth, and develop strategies to achieve sales goals.
   
3. Product Promotion and Merchandising:Oversee product placement and merchandising in retail outlets to enhance visibility and drive customer engagement.
   Collaborate with retail teams to ensure that D-Link products are adequately represented in-store through promotional activities, displays, and marketing materials.
   Support retail partners with training on D-Link product features, benefits, and customer value propositions.
   
4. Market Intelligence & Competitor Analysis:Monitor and analyze competitor activities, market trends, and consumer behavior to identify opportunities and threats within the retail space.
   Provide feedback to D-Link's product and marketing teams based on insights from the retail channel.
   
5. Marketing & Promotions:Work closely with the marketing department to plan and execute joint marketing campaigns, seasonal promotions, and product launches that drive foot traffic and sales.
   Ensure timely and effective promotional campaigns are implemented across retail partners to boost product sales.
   
6. Relationship Management:Serve as the main point of contact for all retail partner inquiries, ensuring excellent communication and a high level of customer service.
   Conduct regular visits to retail outlets to build relationships, understand customer needs, and provide support.
   
7. Reporting & Performance Tracking:Track, measure, and report on retail sales performance against targets, KPIs, and key metrics.
   Provide regular updates to management on the sales pipeline, key wins, and opportunities for growth within the retail channel.
   Use CRM tools and analytics to manage accounts and monitor performance.
   
8. Channel Support & Customer Satisfaction:Provide ongoing support to retail partners, helping them to resolve issues and ensuring high levels of customer satisfaction.
   Collaborate with internal teams to ensure retail partners are equipped with the right tools, training, and support for success.

Key Qualifications & Skills:

• Experience: Minimum of 3-5 years of experience in channel sales, retail sales, or account management, preferably in the technology or networking industry.
• Knowledge: Strong understanding of the Singapore retail landscape, including experience working with IT superstores, large retail chains, and e-commerce platforms.
• Skills: Excellent interpersonal and communication skills; strong negotiation and relationship-building abilities; analytical skills for market analysis and sales forecasting
• Problem-Solving: Ability to quickly identify problems and implement solutions to meet sales goals and improve retail performance.
• Language: Proficiency in English (additional languages, such as Mandarin, will be an advantage).
• Travel: Willingness to travel within Singapore for store visits, partner meetings, and events.

Key Performance Indicators (KPIs):

• Achievement of sales targets and revenue growth for retail channels.
• Expansion and management of retail partner relationships.
• Successful execution of promotional campaigns and product launches in retail stores.
• Improvement in product visibility and sales performance in key retail outlets.
• Customer satisfaction and feedback from retail partners.

Research assistant in “Quantum computing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new quantum algorithmic solutions based on Riemannian geometry.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a different approach are the right one when executing on Helios or Heron. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Perform quantum compilation optimizing towards successful execution on quantum hardware.

• Support research on quantum algorithms by performing auxiliary data processing tasks.

• Analyze prospects of new research directions

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• At least 1 years of relevant experiences in research on quantum computing, e.g. final year project

• Excellent written and oral communication skills

• Proficiency in material covered by Nielsen and Chuang’s textbook

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

Job Description 

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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 School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

We are looking for a Research Associate in Aerial Robotics to support a cutting-edge project focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. The role will focus on merging advanced computational modeling, AI-driven control algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in aerodynamics, robotics, and machine intelligence, working collaboratively to push the boundaries of small unmanned aerial system performance. This high-impact research aims to transform how drones navigate cluttered spaces, setting the stage for next-generation aerial platforms with wide-ranging applications in areas such as surveillance, inspection, and environmental monitoring.

Key Responsibilities:

• Support research and development related to Robot Design and Autonomous Control of an Avian-Inspired Robot

• Design and fabricate robust platform prototypes

• Develop models and algorithms (AI-based) for dynamics and control of flight.

• Support PI/Team Lead with project management activities and preparation of progress reports

Job Requirements:

• Education qualifications: MSc or MEng in Robotics, Mechanical, Aerospace, Electrical Engineering, or related fields. Specialization in aerial robotics, bio-inspired robotics, materials, or AI-driven control is preferred.

• Soft skills: Strong communication, teamwork, adaptability, and problem-solving abilities.

• Hard skills: Background in flight dynamics, control, robotics, AI/ML, embedded systems, and system modelling. Proficiency in Python, C++, and MATLAB/Simulink. Research publication record is preferred.

• Experience: R&D experience in designing, fabricating, testing, and refining aerial, autonomous, or bio-inspired robotic platforms.

• Competencies: Proficiency in CAD, rapid prototyping, autopilot flight control, ROS/ROS2, sensor integration, and experimental validation.

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

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially) as well as long-term research agenda development and implementation

Job Requirements:

• Education qualifications: Master Degree in Mechanical Engineering or fitting domain with good results.

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance

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

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Research Cluster 4: Novel engineering solutions for climate impacts, will explore engineering solutions to adapt to sea-level rise and climate-constrained water resources. The CTP research programme is summarised here: https://earthobservatory.sg/research/climate/climate-transformation-programme>.

The Research Fellow will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively for advancing the engineering solutions to mitigate the climate change impact which focus on new design concepts for seawalls and coastal defence systems. The position is expected to perform independent and collaborative research to meet the project objectives, to develop new solutions, to assist the management work of the project’s daily operation to facilitate the success of the project, and to publish high-quality journal papers to promote the international reputation of the university,

Key Responsibilities:

The Research Fellow will be responsible for:

• Conduct in-depth research on flexible seawall design and construction, considering durability, environmental impact, and cost-effectiveness.

• Conduct laboratory experiments to test the performance of flexible seawall in flume test.

• Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization

• Writing and publication of results in high-quality peer-reviewed journals

• Writing project progress reports

• Assist in the daily project operation management.

Job Requirements:

• PhD degree in civil engineering, coastal engineering, ocean engineering or related field

• At least 1 year of relevant experience in coastal structure foundation design and hydrodynamics analysis

• Strong background in hydrodynamics analysis

• Expertise in laboratory coastal structure testing

• Expertise in FEM software (Ansys, Abaqus, Plaxis, Comsol etc.)

• Good written and oral communication skills

• Proficiency in oral and written English - essential for data analysis and communication with stakeholders

• Publication track record is an advantage

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

Job Description

• Ensure compliance with ISO procedures and local statutory requirements.

• Prepare purchase orders and liaise closely with suppliers to ensure timely delivery.

• Conduct cost comparisons to meet operational requirements while ensuring quality, service, and cost-effectiveness in the company's best interests.

• Assist in sourcing competitive quotations from suppliers.

• Assist in preparing monthly reports for management.

• Perform other ad hoc duties as assigned.

Job Requirements

• Diploma or Degree in Business Administration preferred, with at least 3 years of relevant working experience in a similar capacity, preferably in the manufacturing industry.

• Excellent communication and negotiation skills, with the ability to work effectively with suppliers and internal stakeholders and resolve issues efficiently.

• Strong analytical skills, with the ability to justify purchasing decisions using data and figures.

• Proficient in Microsoft Office applications.

• Good interpersonal and coordination skills.

• A team player with the ability to work independently and possess strong organizational skills.