Total 136 Education / Training job vacancies

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.

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

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

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

• This position is for Centre on Security, Mobile Applications and Cryptography (SMC).
• Develop and enhance software supply chain security products.
• Write high quality core code based on product and technical requirements, conduct in depth technical research, and resolve complex engineering issues.
• Independently design, develop, and deliver system modules, while producing technical documentation in accordance with engineering standards.
• Other duties as assigned.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• At least 1 year of hands on experience in Go (Golang) development.
• Solid understanding of network protocols such as HTTP, HTTPS, and TCP, with knowledge of network proxy principles, packet capture and analysis, and troubleshooting methodologies.
• Proficiency in Linux development environments.
• Familiarity with container and orchestration technologies, including Docker, Podman, Docker Compose, and Kubernetes.
• Strong communication skills, with the ability to collaborate effectively within a team and independently solve technical problems. Preferred Qualifications.
• Experience with Java development in addition to Go.
• Prior experience developing cybersecurity or network security related products.

#LI-JN2

Overview

MCF group in SIMTech is seeking a motivated, innovative and experienced research engineer for the Ceramic and Metal Powder Forming section, to lead and support both research and industry projects. This role involves designing and developing innovative materials and processes through multiple powder forming technologies to support industrial applications in semiconductor, automotive, biomedical, and energy sectors. The successful candidate will collaborate with multidisciplinary teams, supervise junior staff, and gain new skills as well through on-the-job training.

Key Responsibilities

• Perform R&D work related with powder forming technologies, such as powder compaction, slurry casting, injection moulding, extrusion, and additive manufacturing.
• Design experiments and optimize heat treatment processes for powder-formed parts, to achieve reliable debinding, sintering and densification.
• Implement advanced material analysis methods (SEM, EDX, XRD, mechanical testing, etc) for microstructure and property characterization.
• Design and develop innovative materials and process for new powder forming technologies and emerging applications.
• Prepare technical reports, presentation slides, publications, and patents to disseminate R&D findings.
• Manage project timelines, budgets, and deliverables.
• Collaborate with industry partners and academic institutions for joint research projects.
• Support in the process equipment set-up, laboratory operations, and inventory management.
• Provide mentorship, guidance and career development to team members.
• Ensure compliance with safety and quality standards in laboratory and pilot-scale operations.

Job Requirements

• At least Bachelor (Masters and above preferred) in Material Science and Engineering / Mechanical Engineering / Chemistry Engineering, or other relevant discipline.
• Minimum 3 years of experience in metal and/or ceramic forming related work.
• Strong expertise in powder forming processes (compaction/injection moulding/slurry casting, etc) and heat treatment (like sintering) techniques.
• Excellent hands-on skills on powder forming processes and characterizations (metallurgical samples preparation, microscopy, mechanical testing, etc.).
• Excellent communication and presentation skills.

Preferred Skills

• Familiar with CAD tools, e.g., SolidWorks.
• Familiar with the use of AI tools in manufacturing.
• Proactive team player to solve problems via collaborations.
• Project management experience will be an advantage.
• Ability to learn new skills willingly and quickly.
• Experience with computational modelling of powder forming and sintering.

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

About the Group

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

Role Summary

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

Key Responsibilities

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

Qualifications & Experience

Essential:

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

Desirable:

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

Role Summary

We are looking for a skilled and driven Software Engineer (or Senior Software Engineer) with expertise in C#, ASP.Net, Python, Angular, and a solid foundation in Microservices and DevOps. Join us in a collaborative R&D environment where innovation meets impactful software development for predictive shopfloor analytics.

Key Responsibilities

• Design and implement software solutions for predictive shopfloor analytics (e.g. predictive maintenance management, predictive quality management) using C#, ASP.Net, Python, Angular.
• Collaborate with researchers to translate technical needs into software architectures.
• Build and maintain microservices for scalable, reliable systems.
• Integrate cross-platform software components and services.
• Implement CI/CD pipelines using DevOps best practices (e.g., Jenkins, Bitbucket).
• Research and experiment with emerging technologies to improve development workflows.
• Debug, troubleshoot, and optimize systems for performance and stability.

Requirements

• Bachelor’s or Master’s in Electrical Engineering, Computer Science, or related field.
• Solid experience with C#, ASP.Net, Python, Angular development.
• Proven work with microservices, Docker, and Kubernetes.
• Proficient in DevOps tools (e.g., Jenkins, Bitbucket CI/CD).
• Knowledge of Agile/Scrum methodologies.
• Strong problem-solving and team collaboration skills.

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Knowledge of networking and cybersecurity in industrial settings.
• Experience with data analytics, AI/ML in industrial applications.
• Familiarity with cloud computing and its integration in manufacturing systems.

Job Description

The mission of the Adaptive Robotics and Mechatronics (ARM) group in the Singapore Institute of Manufacturing Technology (SIMTech) is to advance the state of intelligent, adaptive, and embodied robotic systems for next-generation manufacturing.

We are seeking a Research Engineer/Senior Research Engineer to develop embodied intelligence solutions for robotic manipulation as well as deploy into real-world industrial applications. This role focuses on developing the perception/learning-based action models into reliable, real-time robotic systems that operate in complex, unstructured industrial environments.

You will work at the intersection of perception, decision-making, and physical robot programming and control, building integrated pipelines that allow robots to sense, reason, and act through interaction with the physical world. Working closely with robotics, machine learning, and sensing experts, you will bring embodied AI from laboratory prototypes to production-ready robotic platforms.

Responsibilities:

• Design and develop perception pipelines that fuse vision, depth, and other sensory inputs for robot-centric understanding of objects and environments.
• Implement and integrate learning-based models (e.g., vision-language-action, policy networks, or multimodal models) that enable robots to choose actions based on perception and task context.
• Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Mechanical Engineering, Computer Science, Automation, or related fields.
• Strong programming skills in Python and/or C++, with experience building robotics software systems.
• Experience with robotics frameworks such as ROS and robot middleware for sensor and controller integration.
• Familiarity with robot kinematics, motion planning, and control, especially for manipulation systems.
• Exposure to learning-based robotic control, such as imitation learning, reinforcement learning, or multimodal policy models.
• Ability to bridge machine learning models and physical robot execution.

Job Description

The mission of the Adaptive Robotics and Mechatronics (ARM) group in the Singapore Institute of Manufacturing Technology (SIMTech) is to advance the state of intelligent, adaptive, and embodied robotic systems for next-generation manufacturing.

We are seeking a Research Engineer/Senior Research Engineer to develop embodied intelligence solutions for robotic manipulation as well as deploy into real-world industrial applications. This role focuses on developing the perception/learning-based action models into reliable, real-time robotic systems that operate in complex, unstructured industrial environments.

You will work at the intersection of perception, decision-making, and physical robot programming and control, building integrated pipelines that allow robots to sense, reason, and act through interaction with the physical world. Working closely with robotics, machine learning, and sensing experts, you will bring embodied AI from laboratory prototypes to production-ready robotic platforms.

Responsibilities:

• Design and develop perception pipelines that fuse vision, depth, and other sensory inputs for robot-centric understanding of objects and environments.
• Implement and integrate learning-based models (e.g., vision-language-action, policy networks, or multimodal models) that enable robots to choose actions based on perception and task context.
• Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Mechanical Engineering, Computer Science, Automation, or related fields.
• Strong programming skills in Python and/or C++, with experience building robotics software systems.
• Experience with robotics frameworks such as ROS and robot middleware for sensor and controller integration.
• Familiarity with robot kinematics, motion planning, and control, especially for manipulation systems.
• Exposure to learning-based robotic control, such as imitation learning, reinforcement learning, or multimodal policy models.
• Ability to bridge machine learning models and physical robot execution.

Overview

MCF group in SIMTech is seeking a motivated, innovative and experienced research engineer for the Hybrid Bulk Metal Forming Section, to lead and support both research and industry projects. This role involves designing and developing innovative materials and processes through molten metal forming technologies to support industrial applications in semiconductor equipment, automotive, biomedical, and energy sectors. The successful candidate will collaborate with multidisciplinary teams, supervise junior staff, and gain new skills as well through on-the-job training.

Key Responsibilities

Lead the development of novel industrial components and metal forming solutions in areas such as thermal management and metal processing sustainability, and lead R&D projects based on metal processing as part of a team of highly skilled researchers and engineers.

Strategize, formulate and drive R&D and industrial engagement plans related with metal processing to improve technology competency and industry adoption.

• Interact with partners and customers from research institutes and industries to define and refine research projects.
• Prepare technical reports, presentation slides, publications, and patents to disseminate R&D findings.
• Manage project timelines, budgets, and deliverables.
• Provide mentorship, guidance and career development to team members.
• Collaborate with industry partners and academic institutions for joint research projects.
• Support in the process equipment set-up, laboratory operations, and inventory management.
• Ensure compliance with safety and quality standards in laboratory and pilot-scale operations.

Job Requirements

• At least Bachelor (Masters and above preferred) in Material Science and Engineering / Mechanical Engineering or other relevant discipline.
• Minimum 3 years of experience with metal forming processes, product design, testing and validation in R&D and industrial environments.
• High level of competency with cross-technology engineering solutions.
• Experience in leading project teams and with people management.
• Proven track record with customer management and driving customer satisfaction.
• Well-networked in the industry and able to tap on different vendors/suppliers to complement own work.
• Proven track record of innovation in manufacturing, industrial product design and project management.
• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.

Preferred Skills

• Familiar with CAD tools, e.g., SolidWorks.
• Familiar with the use of AI tools in manufacturing.
• Proactive team player to solve problems via collaborations.
• Formal project management experience will be an advantage.
• Ability to learn new skills willingly and quickly.

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-%28AIDF%29/32374-en_GB/

We regret that only shortlisted candidates will be notified.

Background

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

At AIDF, we are actively building next-generation AI systems for financial intelligence, including an LLM-driven application platform that integrates alternative data, structured financial data, and advanced retrieval systems. We are now transitioning from prototype to production and are looking for candidates who can bridge data engineering and AI research, particularly in LLM-based information retrieval systems.

We are seeking a Research Assistant / Research Engineer who combines strong data engineering capabilities with an interest in applied AI research, especially in LLM-powered retrieval systems (e.g., RAG, Graph RAG, Knowledge Graph integration).

This role is ideal for candidates who want to:

• Build scalable data infrastructure, and
• Explore cutting-edge retrieval and knowledge representation techniques in real-world applications

Responsibilities

1. Data Engineering & Infrastructure

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build backend systems to support data ingestion, processing, and serving
• Manage and optimize relational and non-relational databases (e.g., MySQL, MongoDB)
• Ensure data quality, consistency, and reliability across systems

2. LLM & Retrieval System Development

• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Explore advanced retrieval paradigms such as:Graph RAGKnowledge Graph-enhanced retrievalHybrid search over structured + unstructured data
• Work with alternative data sources (e.g., text, news, reports) to improve model performance

3. Applied Research & Prototyping

• Track and experiment with latest research in LLMs, IR, and knowledge systems
• Prototype and evaluate new methods for:Information retrievalKnowledge representationFinancial intelligence extraction
• Translate research ideas into production-ready system components

4. System Integration & Collaboration

• Collaborate with AI engineers, data scientists, and frontend developers
• Integrate backend systems with LLM services and user-facing applications
• Contribute to system architecture design for AI-native products

5. Documentation & Best Practices

• Maintain clear documentation of:Data pipelinesSystem architectureDatabase schemas
• Implement best practices in data governance, security, and reproducibility

Minimum Requirements

• Background in Computer Science, Engineering, or related fields
• Proficiency in at least one programming language (e.g., Python, Java, Go)
• Solid understanding of data structures, algorithms, and system design
• Experience with backend development frameworks (e.g., FastAPI, Django, Spring Boot)
• Familiarity with RESTful API design and implementation
• Experience with databases: Relational: MySQL / PostgreSQL
• Non-relational: MongoDB / Redis / Elasticsearch
• Familiarity with Git and collaborative development workflows
• Strong problem-solving skills and ability to debug complex systems

Preferred / Bonus Qualifications

• Experience in data engineering and ETL systems in production environments
• Familiarity with LLM applications, especially: RAG pipelines
• Vector databases (e.g., FAISS, Milvus, Pinecone)
• Exposure to Knowledge Graph construction or usage
• Experience with search / retrieval systems (e.g., BM25, hybrid search)
• Familiarity with cloud platforms (AWS / Azure / GCP), especially data services
• Experience with tools such as Apache Airflow / NiFi / Spark
• Interest in applied AI research and ability to read/implement recent papers
• Strong communication and documentation skills

What We Offer

• Opportunity to work on cutting-edge AI systems in finance
• Exposure to real-world large-scale financial datasets
• A unique role combining research + engineering + productization
• Collaboration with researchers and engineers at NUS AIDF-CRI
• Potential to contribute to publications and production AI systems

Singapore Institute of Manufacturing Technology (SIMTech)

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

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

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

JOB DESCRIPTION 

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

Responsibilities:

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

JOB REQUIREMENT

Minimum Requirements (Must-have)

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

Preferred Skills and Experience (Good-to-have)

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

Singapore Institute of Manufacturing Technology (SIMTech)

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

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

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

JOB DESCRIPTION 

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

Responsibilities:

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

JOB REQUIREMENT

Minimum Requirements (Must-have)

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

Preferred Skills and Experience (Good-to-have)

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

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-%28Nano-electronic-Process-and-Devices%29/32359-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open under the supervision of Prof. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).   The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects.  The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits.

Qualifications

1.    Possess a Bachelor degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 2 years in simulation, fabrication, and testing of semiconductor devices. 
4.    Proficient in simulation software, such as Sentaurus, Spice, matlab, etc.
5.    Possess relevant expertise proven through coursework and projects during his/her studies.
6.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
7.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
8.    Work well with team and be independent, and be able to balance well between advancing his/her own research and contributing to the larger team’s success. 
9.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
10.  Open to Fixed Term Contract. 

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.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.