Total 151 Education / Training job vacancies

Job Description

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).     
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.        
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.        
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.        
• Mentor junior engineers in the standardization process and technical writing.

Job Requirements

• MS or PhD in Electrical Engineering, Communication Engineering or related field.        
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.        
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).       
• Strong experience in submitting and defending proposals in international standardization bodies.        
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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

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

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

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

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

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

Job duties and responsibilities:

• Design new products and continually improve existing products to meet industry standards and customer requirements.
• Develop technical manuals and Instruction Operating Manuals for products, ensuring accuracy and usability.
• Prepare, review, and verify design drawings, detailed specifications, and fabricated drawings for compliance with technical standards.
• Create Bills of Materials (BOMs) and ensure accurate documentation.
• Order materials and supplies; monitor the progress of fabrication and installation to ensure alignment with design specifications and schedules.
• Perform quality control checks to ensure the integrity of materials, components, and final products.
• Update and maintain design records, project databases, and documentation for traceability and reference.
• Track and coordinate the delivery of goods and materials to meet project timelines.
• Collaborate with cross-functional teams, including procurement, production, and project management, to address technical challenges.
• Provide technical support and guidance to the fabrication and installation teams during project execution.
• Identify opportunities for cost optimization, design innovation, and process improvement.

Job Requirements:

• Degree or Diploma in Mechanical, Precision, Tool, and Die Engineering, or a related field.
• At least 2 years of experience as a Design Engineer.
• Proficiency in drafting software such as AutoCAD, SolidWorks, 3D modeling software, or equivalent.
• Experience in Marine Hydraulic Applications, with knowledge of valves and actuators, as well as gear design (e.g., spur gear, planetary gear, bevel gear).
• Understanding of forging, casting, and precision CNC machining processes.

The Role

You will lead research and experimentation into what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a senior hands-on research and engineering role — you will architect experiments, build and own models, mentor junior researchers, and see your work directly shape product strategy.

What You Will Do:

• Design, lead, and oversee experiments to identify and validate GEO ranking factors
• Architect and own the development of algorithms and scoring models end-to-end
• Drive large-scale data analysis to extract actionable insights and translate findings into strategic recommendations
• Collaborate closely with the founding team to define the research roadmap and translate research into product features
• Mentor and guide junior researchers and engineers on experimental design and best practices

What We're Looking For

Must-have

• PhD with 2+ years of industry experience, or Master's degree with 4+ years of relevant experience
• Deep expertise in machine learning, NLP, or information retrieval
• Proven track record of designing, executing, and shipping research-driven products or features
• Strong leadership and communication skills — able to influence without authority and present findings to non-technical stakeholders
• Self-directed and comfortable operating with ambiguity at the frontier of a new field

Nice to have

• Strong familiarity with how LLMs process, rank, and retrieve information
• Hands-on experience leading search, ranking, or recommendation systems in production
• Prior work in SEO, content analytics, or search quality evaluation
• Experience building or contributing to research teams from an early stage

No prior GEO experience needed — we will learn together.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Core Development: Develop, iterate, and maintain frontend features for security products, ensuring high-quality delivery.
• Collaboration & Implementation: Work closely with UI designers to accurately translate mockups and prototypes into functional code. Participate in design reviews, providing technical feasibility feedback.
• Technical Contribution: Participate in frontend technical discussions and solution design. Help build and maintain a stable, scalable, and maintainable frontend architecture and write clear technical documentation.
• Performance & UX Optimization: Continuously optimize application performance, page load speed, and interaction fluidity to enhance the end-user experience.
• Quality Assurance: Write robust, maintainable code and unit tests. Collaborate with QA engineers to ensure the quality of frontend features.
• Other duties as assigned.

• Bachelor's degree or higher. 1+ years of frontend development experience, with at least 6 months of hands-on production experience using Vue 3 and the Composition API.
• Strong proficiency in HTML5, CSS3 (including Flexbox, Grid), and modern JavaScript (ES6+).
• Solid understanding of core Vue ecosystem tools such as Vue Router and Pinia (or Vuex).
• Familiarity with frontend build tools and development workflows (e.g., Vite, Webpack, npm/yarn/pnpm).
• Good coding standards and teamwork spirit. Experience with Git version control.

#LI-JN2

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-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled Research Engineer to join our team in developing next-generation energy-efficient AI hardware. The project aims to demonstrate an AI accelerator chiplet that integrates emerging non-volatile memory (RRAM or MRAM) with conventional I/O interfaces. This platform will showcase compute–memory co-design advantages, including enhanced data throughput, improved energy efficiency, and reduced data-movement overheads for large-scale AI workloads. 

Key Responsibilities:
•    Develop and implement fine-grained dynamic voltage and frequency scaling (DVFS) strategies tailored for GPU-based AI workloads, with control at the level of transformer blocks and attention layers.
•    Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture workload intensity, memory access patterns, and GPU utilization for real-time optimization.
•    Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
•    Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
•    Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
•    Contribute to prototype development, benchmarking, and evaluation of performance and energy efficiency.
•    Publish research findings in leading journals and present at international conferences.
•    Mentor undergraduate students and support team-based research activities.

Qualifications

•    Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
•    Strong programming skills in Python and C/C++, with experience in machine learning frameworks such as PyTorch or TensorFlow.
•    Familiarity with deep learning models—particularly transformer architectures and large language models (LLMs)—is advantageous.
•    Experience or interest in system-level optimization (e.g., DVFS, workload profiling, or power management) is a plus.
•    Strong analytical and problem-solving skills, with the ability to conduct independent research and contribute to technical publications.
•    Ability to work effectively in a multidisciplinary environment, with good communication skills, initiative, and adaptability.

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-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English. 

Role Summary

The incumbent is responsible for plan, develop, and execute semiconductor test programs, perform debugging and analysis, and generate quality reports to ensure our products meet high reliability and performance standards. You will work closely with cross-functional teams including R&D, Production, and Customer Support.

Role Responsibilities

Test Planning & Development

· Develop, document, and execute detailed test plans, procedures, and results based on product requirements and specifications.

· Develop and maintain semiconductor test programs.

· Support electronic circuit design validation.

· Coordinate with customers and internal departments to clarify specifications and requirements.

Test Execution, Debugging & Analysis

· Conduct various types of testing, including functional, integration, performance, and usability testing.

· Execute manual and automated test routines to validate product functionality.

· Use defect tracking tools to identify, document, and analyse issues; provide clear findings and recommendations.

· Ensure test programs meet efficacy, reliability, and quality standards.

Quality Documentation & Reporting

· Record all test procedures, results, and observations.

· Prepare clear and concise reports on product quality and test outcomes.

· Recommend improvements to products and testing processes.

Role Requirements

· Bachelor’s or Master’s degree in Electrical, Electronics, or related field.

· Experience in software/hardware testing, preferably in the semiconductor or electronics industry.

· Basic knowledge of electronic circuit design and logical analysis.

· Proficiency with test equipment (oscilloscope, multimeter, logic analyzer, etc.).

· Experience in programming languages such as C, C++, VB, or equivalent.

· Strong analytical skills with high attention to detail.

· Ability to work independently and manage multiple tasks in a fast-paced environment.

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-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

We are looking for a Research Engineer to design and develop an advanced multi-source knowledge fusion framework that leverages Large Language Models (LLMs) and other AI techniques. The role will focus on constructing, merging, and maintaining domain-specific knowledge graphs to harmonize heterogeneous data, specifically applying these technologies to support research and decision-making on critical environmental issues.

Key Responsibilities:

• Knowledge graph construction and maintenance: Build, merge, and maintain scalable, domain-specific knowledge graphs, ensuring they adapt to dynamic data evolution and continuous updates.

• Data integration and harmonization: Develop robust pipelines to ingest, clean, and integrate heterogeneous data from diverse and inconsistent sources into a unified graph structure.

• Collaborative research: Work closely with a multidisciplinary team of researchers to define data requirements, align technical deliverables with project goals, and apply the knowledge graph framework to solve complex environmental challenges.

Job Requirements:

• Bachelor / Master degree in computer science or related field

• Familiarity with ESG (Environmental, Social and Governance) regulations and standards

• Good written and oral communication skills

• Proficiency in Python and cloud computing

• Team player and able to develop solutions under strict timelines with other researchers  

• Entry level candidates are welcome to apply

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

Job Responsibilities

Tool Maintenance & Troubleshooting

• Perform root cause analysis and troubleshooting of equipment malfunctions and process deviations.
• Implement preventive and predictive maintenance plans to minimize downtime.
• Maintain spare parts inventory, tool history, and maintenance logs.

Performance Monitoring & Optimization

• Monitor tool performance and optimize tool uptime and throughput while ensuring process stability and product quality.
• Support productivity improvement initiatives such as cycle time reduction and automation upgrades.

Cross-Functional Support

• Collaborate with process engineers, production teams, and quality engineers to resolve equipment-related yield or reliability issues.
• Support new product introduction (NPI) by ensuring timely equipment readiness and process qualification.

Compliance & Documentation

• Maintain equipment-related documentation including manuals, procedures, maintenance checklists, and safety protocols.
• Ensure compliance with EHS regulations, cleanroom standards, and company safety policies.
• Participate in audits and drive corrective actions for equipment-related findings.

Perform any other ad-hoc duties as assigned by the Manager, as required to support the team and organizational goals.

Job Requirements

Professional Qualifications:

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field.
• 5–10+ years of experience as an equipment or maintenance engineer in semiconductor, substrate, or PCB manufacturing.
• Hands-on experience with substrate process equipment such as coaters/developers, wet benches, plating tools, lamination presses, laser drills, or vacuum ovens.

Specialized Knowledge & Skills:

• Familiarity with substrate technologies such as SAP/Damascene, ABF-based build-up layers, or glass core substrates.
• Proficiency with troubleshooting tools (e.g., multimeters, oscilloscopes) and root cause analysis methodologies (e.g., 5 Whys, Fishbone).
• Experience with TPM (Total Productive Maintenance), FMEA, and reliability engineering practices.
• Strong teamwork, communication, and documentation skills.

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

Key Responsibilities

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

Job Requirements

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

Key Competencies

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

About Us
LITEON is a world‑leadingprovider of optoelectronic semiconductor components and power management solutions. At LITEON, people are at the heart of our success. We foster a supportive, inclusive, and empowering culture where engineers are encouraged to learn, experiment, and grow alongside experienced industry professionals.

About the Role
We are seeking a Junior Power Electronics Research Engineer to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. This role is ideal for early‑career engineers with up to 3 years of experience who are eager to build strong fundamentals in power electronics research and development.

You will work closely with senior researchers and engineers on early‑stage research and proof‑of‑concept projects that support the future of data centre, cloud, and AI infrastructure technology. This role offers structured mentorship, hands‑on lab exposure, andthe opportunity to develop into a specialist or technical leader over time.

Key Responsibilities

• Research & Learning
  - Conduct literature reviews and technical studies on power electronics topologies, components, and control concepts.
  - Learn and explore emerging technologies related to data centre and cloud power systems.
  
• Concept Development
  - Assist in identifying technical challenges, future needs, and market opportunities.
  - Support the generation and evaluation of multiple design concepts under guidance from senior engineers.
• Design & Simulation
  - Create circuit designs an system block diagramsPerform simulations using tools such as MATLAB, Simulink, LTspice, or Python to validate concepts.
• Prototyping & Testing
  - Support the construction of proof‑of‑concept hardware prototypes.
  - Perform lab testing using oscilloscopes, electronic loads, and power analysers.
  - Assist in debugging and performance evaluation.
• Documentation & Communication
  - Contribute to technical reports, design documentation, and performance summaries.
  - Support patent disclosures and internal knowledge sharing activities.

Requirements

• Bachelor’s, Master’s, or PhD degree (or near completion) in Electrical / Electronics Engineering or a related discipline.
• 0–3 years of experience in power electronics, hardware design, or related engineering roles.
• Basic understanding of power electronic architectures such as AC/DC and DC/DC converters.
• Exposure to schematic design, datasheets, and PCB layouts (academic or industry projects welcome).
• Familiarity with simulation tools (MATLAB, Simulink, LTspice, or similar).
• Interest in wide‑bandgap devices (SiC / GaN), magnetics, EMI, or thermal design is an advantage but not mandatory.
• Willingness to learn, strong problem‑solving skills, and good communication abilities.
• Hands‑on mindset with enthusiasm for laboratory work and experimentation.
• Fresh graduates with strong project or research experience are encouraged to apply.

Why Join LITEON

• Attractive Remuneration Package
  - Competitive salary package benchmarked to market standards
  - Performance bonuses and comprehensive benefits
  
• Overseas Training Opportunity
  - 2‑month overseas training attachment at one of LITEON’s global R&D sites
  - Exposure to international teams, advanced facilities, and real‑world product development
  
• Structured Development & Mentorship
  - Close guidance from experienced researchers and senior engineers
  - Clear technical growth pathway from junior to advanced engineering roles
  
• World‑Class R&D Environment
  - Well‑equipped laboratories and modern development tools
  - Opportunities to contribute to publications, patents, and future technology platforms
  
• Meaningful Impact
  - Be part of innovations shaping energy‑efficient data centres, cloud computing, and AI infrastructure

SHARE@NTU Lab is developing key technologies for humanoid robot research, designed for intelligent service, industrial assistance, and human-centric environments. The key technologies include multimodal sensing, artificial intelligence, environment perception and situation awareness, as well as real-time motion planning and decision-making capabilities, enabling humanoid robots to operate safely and efficiently in complex and dynamic environments.

Through the development of advanced humanoid robotic platforms, SHARE@NTU Lab aims to support the world’s growing demand for automation amid labour shortages, while also training the next generation of local talent in robotics, artificial intelligence, and intelligent sensing technologies.

We are seeking a highly motivated and skilled Mechatronic Engineer to join SHARE@NTU Lab. The ideal candidate will work on developing and optimizing embedded software solutions for assistive robots. The role requires proficiency in embedded systems design, Robot Operating System (ROS), Linux-based development, CAD design, and microcontroller programming. The candidate should have good problem-solving skills, and a deep understanding of hardware and software integration.

Key Responsibilities:

• Lead the design and development of mechatronic systems, including mechanical structures, sensors, actuators, and embedded control units.

• Review system design and firmware/software for reliable system implementation.

• Design and implement software of embedded control devices for assistive robots.

• System integration (incl. motors, sensors, actuators and control software), troubleshooting, and hardware-in-the-loop testing for optimal system performance.

• Implement real-time control, communication, and data acquisition on microcontrollers and embedded Linux platforms.

• Document system designs, test results, and integration procedures to support traceability and future scalability.

• Mentor junior engineers and support project reviews, technical reporting, and presentations.

Job Requirements:

• Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.

• Experience in embedded system engineering – working with embedded boards and using standard embedded development tools such as oscilloscopes, logic analyzers, JTAG, etc.

• 4+ years of hands-on experience developing, deploying, testing, and validating ROS2 (or ROS 1) based robotics systems — including AMRs/AGVs and exoskeletons.

• Proficiency in C, C++, and Python, with experience writing robust, task-specific algorithms for perception, localization, mapping, navigation, and control.

• Solid experience with Linux development environments, Docker, and Git for version control and collaborative development workflows.

• Strong familiarity with CAD, Gazebo, RViz, URDF/SRDF, and simulation toolchains for robot model integration and testing.

• Demonstrated experience integrating sensors, actuators, and hardware components into robotic systems, ensuring seamless communication between hardware and software layers.

• Hands-on experience with real-time systems, embedded platforms (RTOS, embedded Linux), and edge computing environments.

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

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

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

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

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

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

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

We are looking for a motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

Key Responsibilities:

• Design, develop and improve products, systems, or processes in line with company objectives
• Conduct research, testing, and validation of new ideas and prototypes
• Prepare technical documentation, reports, and specifications
• Collaborate with cross-functional teams including operations, production, and sales
• Troubleshoot technical issues and provide engineering support when required
• Ensure compliance with industry standards and regulatory requirements

Requirements:

• Bachelor’s degree in Engineering (e.g. Electrical / Mechanical / Software Engineering) or related field
• Minimum [X] years of relevant working experience
• Strong problem-solving and analytical skills
• Proficiency in relevant tools/software (e.g. AutoCAD, SolidWorks, programming languages, etc.)
• Good communication and teamwork skills
• Ability to work independently and manage multiple tasks

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields with at least 3 years of relevant experience.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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 Title: Research Engineer (Chemical-related)

JobType: Full-time (5-day work week, no OT, no shift)    

Location: 5-7 mins walk from Jurong East MRT station

Salary: SGD$3200-SGD$3700/month, subject to CPF.

Job Summary:

As a Research Engineer, you will be an integral part of our research and development team, responsible for performing experiments and optimizing processes related to the manufacturing of magnetic nanoparticles used in IVD testing kits. You will collaborate with a multidisciplinary team of scientists, engineers, and researchers to drive technological advancements in the IVD field.

Responsibilities:

1.    Conduct experiments in the wet lab to synthesize, characterize, and modify magnetic nanoparticles according to the project pipeline or the customer requirements.

2.    Design and execute protocols to produce magnetic nanoparticles, ensuring adherence to quality standards.

3.    Collaborate with cross-functional teams to develop innovative processes and techniques to enhance the efficiency and reliability of nanoparticle manufacturing.

4.    Analyze experimental data and present findings to the research team, contributing to the decision-making process.

5.    Troubleshoot and optimize experimental procedures to improve product performance and quality.

6.    Maintain accurate and detailed records of experimental procedures, protocols, and results.

7.    Stay up to date with the latest advancements in nanoparticle studies and characterization techniques in the IVD field.

Qualifications:

1.    Bachelor’s degree in Chemical Engineering, Chemistry, Materials Science, Chemical and Biomolecular Engineering, or a related field. Fresh graduates are welcome to apply.

2.    Strong knowledge of wet lab techniques and internship experience in synthesizing nanoparticles or related materials.

3.    Proficiency in nanoparticle characterization techniques, such as TEM, and SEM will be an advantage.

4.    Welling and able to work in the wet lab environment.

5.    Familiarity with formulation and optimization of chemical reactions.

6.    Experience in working with magnetic nanoparticles or similar nanomaterials is highly desirable.

7.    Knowledge of IVD testing methodologies and regulations is a plus.

8.    Excellent analytical and problem-solving skills.

9.    Strong attention to detail and ability to accurately document experimental procedures and results.

10. Effective communication and teamwork skills.

11. Professional with Microsoft Office.

Please state your availability and current salary on your resume for fast processing. We regret that only shortlisted candidates will be notified. Thank you.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2