Total 164 operations engineer job vacancies in Education / Training category in The Philippines

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

Job Description

• Industry/ Organization Type: Workplace Safety/ Training & Consultancy
• Position Title: Chief Operating Officer (COO)
• Working Location: Kallang (walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (9am – 6pm)
• Salary Package: Basic Salary + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Oversee and manage all operational functions across multiple departments and training divisions.
• Design, develop, and introduce new high-value training courses and advanced certification programs.
• Manage a broad portfolio of courses, including WSQ framework and SkillsFuture/SSG-funded training programs.
• Lead the recruitment, training, and performance management of trainers across various disciplines.
• Maintain current accreditations and pursue additional certifications with regulatory bodies (MOM, WSH Council, SSG, NEA, IRCA, NEBOSH, SCDF, NRC).
• Ensure full compliance with SSG audit requirements and uphold quality standards across all training delivery processes.
• Promote operational efficiency and drive continuous improvement initiatives throughout the organization.
• Manage and strengthen partnerships with SkillsFuture Singapore, regulatory authorities, and industry partners.
• Support business development initiatives and ensure high levels of client satisfaction.
• Work closely with regional teams to maximize the use of global resources and expertise.

APPLY NOW!!!

• Bachelor’s degree from a recognized university (Engineering or a related field).
• Minimum 8–10 years of experience in the education or training industry in senior operational leadership roles (COO, Director of Operations, VP Operations, etc.).
• Proven leadership experience managing operations across multiple departments and large trainer networks across diverse subject areas.
• Demonstrated success in managing large-scale operations (organizations with 50+ employees or revenue exceeding $10 million).
• Extensive operational knowledge across key areas including course development, training delivery, quality assurance, trainer management, and accreditation processes.
• Strong expertise in course development, with a proven track record in launching high-value and advanced certification programs.
• Strong understanding of accreditation requirements, regulatory compliance (e.g., SSG, MOM, and related bodies), and WSQ frameworks.
• Solid commercial awareness with a good understanding of the economics of training businesses.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83073 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: Workplace Safety/ Training & Consultancy
• Position Title: Chief Operating Officer (COO)
• Working Location: Kallang (walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (9am – 6pm)
• Salary Package: Basic Salary + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Oversee and manage all operational functions across multiple departments and training divisions.
• Design, develop, and introduce new high-value training courses and advanced certification programs.
• Manage a broad portfolio of courses, including WSQ framework and SkillsFuture/SSG-funded training programs.
• Lead the recruitment, training, and performance management of trainers across various disciplines.
• Maintain current accreditations and pursue additional certifications with regulatory bodies (MOM, WSH Council, SSG, NEA, IRCA, NEBOSH, SCDF, NRC).
• Ensure full compliance with SSG audit requirements and uphold quality standards across all training delivery processes.
• Promote operational efficiency and drive continuous improvement initiatives throughout the organization.
• Manage and strengthen partnerships with SkillsFuture Singapore, regulatory authorities, and industry partners.
• Support business development initiatives and ensure high levels of client satisfaction.
• Work closely with regional teams to maximize the use of global resources and expertise.

APPLY NOW!!!

• Bachelor’s degree from a recognized university (Engineering or a related field).
• Minimum 8–10 years of experience in the education or training industry in senior operational leadership roles (COO, Director of Operations, VP Operations, etc.).
• Proven leadership experience managing operations across multiple departments and large trainer networks across diverse subject areas.
• Demonstrated success in managing large-scale operations (organizations with 50+ employees or revenue exceeding $10 million).
• Extensive operational knowledge across key areas including course development, training delivery, quality assurance, trainer management, and accreditation processes.
• Strong expertise in course development, with a proven track record in launching high-value and advanced certification programs.
• Strong understanding of accreditation requirements, regulatory compliance (e.g., SSG, MOM, and related bodies), and WSQ frameworks.
• Solid commercial awareness with a good understanding of the economics of training businesses.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83073 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

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.

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-%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.

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. 

Job Purpose:

To align the vocational curriculum to WSQ Framework to eventually develop a responsive and unique vocational curriculum, incorporating sensory integration, home-school-partnership to truly meet the diverse needs of DSS students including achieving WSQ certifications and to meet the requirements of course accreditation by WDA.

Key Responsibilities:

Curriculum and instructional excellence

• Plan engaging and well-paced lessons taking account of the diverse learner profiles of students
• Deliver lessons using evidence-based pedagogy and meaningful activities, to meet the educational needs of individual students
• Implement appropriate modes of assessment to monitor student progress by providing accurate feedback , and implementing suitable instructional supports to close gaps
• Plan and deliver comprehensive vocational educational programmes (On-Site Training) to develop students’ work-related skills

Holistic student development

• Build a strong relationship with students by demonstrating care, concern and encouragement
• Design and implement positive, robust classroom routines and practices to create and maintain a safe and conducive learning environment as well as foster student development and well-being
• Implement techniques and behaviour plans to manage students with complex and challenging behaviours

Professional development

• Proactively engage in professional development for knowledge and skills development
• Participate in professional learning teams to foster collaborative learning between staff members

Organisation management and development

• Manage daily administrative tasks (e.g. track attendance, collect forms, update families/caregivers.)
• Perform Department Quality Assurance Management (QAM) tasks

Job Requirements:

• Degree/ Diploma/ Higher NITEC in Retail Operations or Retail Operations– Omni Channel (E-Commerce)
• Minimum 2 years of experience in Supervisory or Managerial position in Warehousing
• Experience in E-Commerce/Omni Channel would be an advantage
• Experience in teaching/ special needs education would be an advantage
• Technical Skills Specific- Student Development/Microsoft Office (Excel, PowerPoint, Word)
• Behavioural Skills - Interpersonal, Classroom Management, Takes Initiative, Effective Communication, Team Player
• Language Skills-Strong in spoken and written English
• Possesses a positive attitude
• Working location: Choa Chu Kang