Total 1,911 Others level Science / R&D / Research job vacancies

Overview

We are seeking an experienced Project Manager to lead technology deployment projects with industry partners. The role will manage the end-to-end execution of projects focused on developing and implementing advanced manufacturing and repair technologies for aerospace maintenance, repair and overhaul (MRO) operations.

The Project Manager will work closely with industry partners, research engineers, and technology teams to ensure projects deliver industrial impact, operational readiness, and scalable deployment.

Key Responsibilities
Project Leadership & Execution

• Lead end-to-end management of aerospace MRO technology projects from problem definition through development, validation and industrialisation.
• Develop and manage project plans, schedules, milestones, budgets, and deliverables.
• Coordinate multidisciplinary teams of researchers, engineers and industry partners to ensure timely project execution.
• Track project progress and manage risks, issues, and mitigation plans.

Industrialisation 

• Drive deployment of new capabilities, including equipment, processes, and digital solutions.
• Translate industry operational needs into technology development roadmaps and implementation strategies.
• Oversee technology validation, readiness assessments and scale-up for shopfloor deployment.
• Support technology transfer into operational environments.

Industry Collaboration

• Serve as the key interface between research teams and our quality industry partners.
• Co-develop project scope, technical objectives, and success metrics with partners.
• Facilitate regular project reviews and governance meetings with stakeholders.

JOB REQUIREMENTS

• Bachelor or Master degree in any Engineering, or Project management related discipline.
• Minimum 3 years of project management experience in engineering environment
• PMP certifications or equivalent will be advantageous
• Experience working with cross-functional technical teams and external industry stakeholders.
• Experience managing technology development projects from concept to industrial implementation.
• Good business acumen, driven to deliver customer requirements and project deadlines
• Strong problem-solving mindset with ability to navigate technical and operational challenges.

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

 Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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.

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:

• Conduct programming and software development for graph data management.

• Design and implement machine learning models for optimizing graph data management.

• Conduct experiments and evaluations of the designed algorithms and systems.

• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably Master 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.

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 3-5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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.

A Research and Development (R&D) Executive plays a key role in driving innovation and developing new products or processes.

To conduct research, analyze data, and develop solutions to improve existing products and services, or create new ones, ensuring they meet functional (Town Council) needs and regulatory standards.

Responsibilities often include identifying market trends, collaborating with cross-functional teams, and ensuring product development aligns with business objectives.

Key Responsibilities:

• Conduct Research and Analysis:

Identifying market trends, customer needs, and competitive landscapes to inform product development.

• Develop New Products and services:

Conceptualizing, designing, and developing new products or processes from initial ideas to commercialization.

• Improve Existing Products and services:

Conducting research and testing to enhance existing products, improve their performance, and address any issues.

• Collaboration:

Working closely with various teams, including estate department, contract department, and term contractors and Vendors, to ensure development and implementation.

• Regulatory Compliance:

Ensuring that all products and processes comply with relevant regulations and standards.

• Innovation:

Staying up-to-date with the latest technologies and trends in their field and using this knowledge to drive innovation.

• Implementation:

Executing with development plans in forms of training, guidance, SOP, and formulating and oversight of projects in related implementations and Improving means.

Responsibilities:

·       Lead research into state-of-the-art optimization techniques, including Quantization-Aware Training (QAT), Pruning, Knowledge Distillation, and Neural Architecture Search (NAS) to minimize latency.

·       Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously.

·       Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson, TensorRT, FPGAs, or specialized AI accelerators).

·       Develop and manage asynchronous data pipelines that ensure zero-bottleneck performance from image acquisition to "final sentencing" decisions.

·       Establish rigorous performance profiling benchmarks to track model latency and memory footprint across various manufacturing environments.

·       Work with the System Integrator (SI) to ensure that optimized models are seamlessly integrated into the factory-level software stack.

JOB REQUIREMENTS 

·       Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a focus on High-Performance AI.
·       At least 1 year of experience

·       Deep understanding of AI Inference Engines (e.g., TensorRT, ONNX Runtime, OpenVINO).

·       Mastery of Model Compression techniques (Pruning, Quantization, Distillation).

·       Expertise in C++ and Python for high-performance implementation.

·       Hands-on experience with Parallel Computing (CUDA, OpenCL).

·       Familiarity with Mixed-Precision Training and FP16/INT8 deployment.

·       Proven ability to architect end-to-end AI systems that balance the trade-off between throughput, latency, and model precision.

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.

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

RESPONSIBILITIES

• Work closely with business user in business process improvement to align with business and project objectives and bridge the gaps between business users and technical solution team.
• Prepare documentation to cover business processes, workflows, or business requirements and work with stakeholders to obtain sign off.
• Work alongside team leads and Project Manager to align overall technical and business direction, bridge requirements and articulate technical constraints with Business users.
• Facilitate discussions or workshops with users, vendors such as requirement workshops, gap analysis, test planning and deployment planning.
• Work closely with vendors and development teams to ensure the right implementation of IT solutions to meet the business needs.
• Give regular updates to project manager / delivery manager.
• To create test cases and get acceptance with business users on all Test Plan.
• Manage and perform functional testing of systems before release to business users for acceptance testing.
• Work with test automation team on automating testing, validating test results and working with developers on fixes, prior to every production release.
• Manage users for adhoc / urgent change requests.

EXPERIENCE

• Min 5+ years of experience in the role of Business analyst in insurance domain analytical work.
• Strong knowledge of database structure systems and data mining/mapping, transformation.
• Proven track records of successful implementation of projects
• Experience in implementing digital solutions.
• Able to work under pressure and within tight deadlines on several initiatives simultaneously.

Primary Maths Teacher 

Location: Marine Parade 
Working days & Time:  

• 5 day work week (Including one weekend) 
• Rest day on Friday and Saturday
• 11am-730pm(weekday), 830am-630pm(weekend)

Salary: $3,800  After probation $4,000

Job Description

• Execute the Centre curriculum with fidelity (approximately 3 lessons per day, 2 hours per class, 30 minute break between each lesson).
• Record students’ quiz results and utilise our proprietary data-analytics platform to monitor and analyse class and students' learning performance.
• Provide parents with updates on performance and progress.
• Provide support and ideas towards the improvement, planning, and development of our curriculum.
• Perform necessary administrative tasks, provide coverage for peers, attend team meetings as scheduled.

Job Requirements

• Bachelor’s Degree Graduate.
• At least 2 years of teaching/tutoring experience (preferred)

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations. 

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum 5 years of experience (or equivalent demonstrated experience).
• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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 Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

We seek 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.

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Machine-Learning%29-1/32348-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications

Available data include:

•             Numerical weather prediction (NWP) model outputs

•             Weather satellite imagery

•             Radar observations

•             Lightning detection networks

•             Surface sensor observations (e.g., rainfall and wind)

The successful candidates will:

•             Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting.

•             Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification strategies.

•             Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling.

•             Collaborate with domain experts and (where relevant) operational stakeholders.

•             Drive scientific breakthroughs and contribute to publications and cross-institutional collaborations

Qualifications

Required / strongly preferred

•             PhD in Computer Science, Data Science, Engineering, Physics, or related.

•             Strong Python and PyTorch; experience with multi-GPU/distributed training and performance optimization.

•             Experience with real-world geospatial/sensor data (quality control, cleaning, visualization).

•             Strong communication and collaboration skills.

Highly desirable

•             Deep learning expertise: generative models, physics-aware learning, uncertainty modelling.

•             Dense spatiotemporal prediction (e.g., video prediction, precipitation nowcasting).

•             Atmospheric science / tropical meteorology background (a plus, not required).

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

We invite applications for a Senior Research Fellow to support pioneering research on the application of pinching antennas in next-generation wireless communications at School of Electrical and Electronic Engineering of NTU. The role involves designing, modeling, and analyzing innovative antenna-enabled communication systems to improve signal efficiency, channel capacity, and network performance. The successful candidate will conduct theoretical research, collaborate with faculty and researchers in the School of Electrical and Electronic Engineering, and contribute to high-impact publications.

Key Responsibilities:

• Undertake research and development necessary to achieve the goals of the research project in pinching antennas and NTU’s responsibilities.

• Preparation of conference and journal papers for publication of project findings.

• Collaborate with the colleagues in School of Electrical and Electronic Engineering in the area of wireless communications.

• Participation in all project meetings; preparation and presentation of talks, posters and reports to disseminate the results of these studies.  

• Participation in national and international conferences and workshops to present the results of the project to a wider audience and to learn about current advances in the field.  

• Any other duties appropriate to the grade as delegated by the Principal Investigator

Job Requirements

• PhD degree in Electronic Engineering, Computer Science, or related field

• Knowledge of pinching antennas, wireless communications, and machine learning

• Strong analytical, research, and scientific writing skills

• Proficiency in Python for modeling and machine learning applications

• Effective communication, teamwork, and presentation abilities

• Self-motivated, organized, and able to meet research milestones and deadlines

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