Total 298 process development engineer job vacancies in Education / Training category

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. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a Research Engineer to support research work under the project “Green AI”.

Job Description:

• Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and sustainability.

• Contribute to the development of practical frameworks, methodologies, or tools that translate research insights into deployable or industry-relevant solutions.

• Prepare technical reports, documentation, and presentations to communicate findings to both academic and industry stakeholders.

• Support collaboration with industry partners by aligning research objectives with practical constraints and business needs.

Job Requirements:

• Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied mathematics, or related fields).

• Demonstrated experience working with industry partners or in industry–academia collaborative projects, including translating practical requirements into research or technical deliverables.

• Strong problem-solving skills, good communication abilities, and the capacity to work effectively in cross-functional and interdisciplinary teams.

• Prior experience contributing to technical reports, patents, white papers, or research publications is a plus, but not required.

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

The Role

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

What You Will Do:

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

What We're Looking For

Must-have

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

Nice to have

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

No prior GEO experience needed — we will learn together.

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 1 month temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred

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

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

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

Key Responsibilities:

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

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

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

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

Requirements:

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

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

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

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

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

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

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

#LI-JN2

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

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.

NVIDIA is searching for several outstanding large language model and foundation model research interns to join our Research team. We are passionate about research that pushes boundaries but also has impact in the real world. You will be part of an outstanding collaborative research team that consistently publishes at the top venues in machine learning and systems. Our existing expertise includes large language model, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

Research, design and implement novel large language model and foundation models.

Perform model optimization, compression and acceleration.

Publish original research.

Collaborate with other team members and teams.

Speak at conferences and events.

Transfer technology to product groups.

Collaborate with external researchers.

What we need to see:

Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering or a related field.

Strong background of theory and practice of LLM and foundation model, as well as deep learning.

Excellent knowledge of theory and practice of model compression and acceleration techniques.

Excellent programming skills in some rapid prototyping environment such as Python; C++and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Outstanding research track record, very good publication record.

Excellent communication and interpersonal skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

• Well Established Company

• Basic $5000 - $5500 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working day: Monday to Friday

• Working hours: 8am to 5pm

  
  

Job Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

  
  

Job Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• No colour blindness

  
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

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. 

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

The core responsibility of this role is to provide technical and administrative support to ensure delivery of training courses that meet the required standards.

Training Operations

• Plan and coordinate resources and other logistics which are required to support training programmes and day-to-day operations, including technical assistance to ensure smooth operation of technical equipment, tools and training infrastructures.

• Timely uploading and submission of trainee’s course result, issuance of certificates and tracking of controlled documents.

• Collect, analyse and prepare data for submission in accordance with WSQ and Training Centre protocols.

• Support Service Quality Unit on course administrative matters

• Other duties and projects as assigned by the management.

Business Development

• Assist with marketing and outreach programme, including events, seminars and career roadshows designed to enhance the image of the Training Centre and increase course demand.

• Support any other corporate activities or events organise by ASPRI.

Suppliers Management

• Source, negotiate, monitor and feedback on the performance of outsourcing partners and vendors, ensuring compliance to technical specifications and service standards.

Quality Management

• Maintain and track various items under the training quality management system

• Assist management with preparation for audits and other regulatory requirements by Accreditation Bodies.
  

You should possess the following:

• Ability to effectively manage time and schedules under tight deadline and pressure;

• Strong adaptability skill, able to work independently as well as in a team;

• Strong communication skills with good customer service aptitude;

• Proficiency in Microsoft Office and other IT applications

• Willingness to work a flexible schedule, including shift duties on a rotational basis (estimated twice a month for evenings and once a month for weekends), generous perks provided.

• Willing to travel to Jalan Papan, where our training centre is located.
  

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)

Learning and Development, Corporate Planning & Development (1-year contract)

About the Role
We are seeking a motivated individual to assist in the delivery and coordination of learning programmes, leadership development initiatives, and career development activities across the organisation.

Key Responsibilities

• Support in coordinating and administering learning programmes, including scheduling sessions, managing participant registrations, and liaising with facilitators and vendors. Assist in the planning and execution of leadership development initiatives such as workshops, coaching sessions, and development programmes for officers at various levels.
• A key aspect of this role involves supporting the development and implementation of the functional competency frameworks across various job families, including liaising with subject matter experts to identify role-specific competencies, documenting competency definitions, and proficiency levels. 
• Support the administration of 360-degree feedback processes, including coordinating feedback cycles, managing the distribution and collection of feedback surveys, liaising with participants and raters, compiling feedback reports, and supporting debrief sessions.
• The role involves supporting career development activities, including career conversations, mentoring programmes. Additionally, the candidate will provide corporate planning support including coordinating the annual work plan and enterprise planning cycle, working with key stakeholders to prepare reports that are aligned with Whole-of-Government (WOG) and Ministry level initiatives to ensure organisational alignment with broader government objectives.
• Administrative duties include maintaining learning management systems, tracking participation and completion rates, preparing reports and presentations, and managing programme materials and resources. The candidate will also provide logistical support for learning events, handle queries from participants, and assist in evaluating programme effectiveness through feedback collection and analysis.

Requirements

• Possess a degree in human resources, organisational development, psychology, or a related field.
• Strong organisational and coordination skills are essential, along with excellent communication and interpersonal abilities. The candidate must demonstrate discretion and confidentiality when handling sensitive feedback and assessment data. Strong analytical and research skills are required to support competency framework development and corporate planning processes, along with the ability to synthesise information from multiple sources and stakeholders.

• Understanding of government planning processes and ability to work with senior stakeholders would be advantageous.

• Proficiency in Microsoft Office applications, particularly Excel and PowerPoint, is required, and familiarity with 360-degree feedback tools, competency frameworks, or learning management systems would be advantageous.
• Detail-oriented, able to manage multiple tasks simultaneously, and comfortable working in a fast-paced environment.
• Prior experience in learning and development, talent management, competency development, corporate planning,or event coordination would be beneficial.  

• Working Arrangement: Mondays to Thursdays : 8.30 am – 6.00 pm; Fridays : 8.30 am – 5.30 pm
• Location: Alexandra
• Salary: $4,800 to $7,700 (Reference, will be based on experience)

EA License No.: 96C4864

Reg No.: R25128798 HUANG QIMENG

Roles & Responsibilities

The Law Society of Singapore is seeking a passionate and proactive Executive Officer/Senior Executive Officer to join their Learning and Development Department. This role offers an exciting opportunity to contribute to the professional growth of our members through the development and management of Continuing Professional Development (CPD) activities.

Who you are:

· A proactive and passionate team player

· Comfortable working in a dynamic, fast-paced environment

· Adaptable and willing to pitch in where needed

Key Responsibilities

Operations and Programme Support

· Organise CPD activities to support the professional development of members

· Manage e-learning programmes and the Learning Management System (LMS) to ensure accessibility, functionality, and relevance for members, including user management, content updates, troubleshooting, and performance evaluation with recommendations for improvement

· Assist in the on-site/virtual management of events, ensuring smooth delivery and quality control

· Coordinate logistics, including venue arrangements, technology setup, and participant registration

· Support marketing initiatives for programmes, including creating promotional materials and simple video editing using Canva

· Maintain accurate records, documentation and databases for programmes, including budget planning, tracking and procurement processes

· Prepare reports and statistics, including financial reports with basic analysis, to support decision-making and programme evaluation

· Collate and summarise programme feedback to provide actionable insights for continuous improvement

· Reply to queries from members and public on programme and accreditation matters

· Ensure compliance with organisational policies and procedures in all operational activities

· Perform other administrative tasks as assigned

Requirements

· Possess a Bachelor’s Degree in any discipline

· Fluent in written and spoken English

· At least 2 years of relevant work experience in professional development training, project and event management or related fields

· Resilient, detail-oriented, problem solver, and a proactive team player with a cheerful disposition who enjoys interacting with people

· Able to multi-task and independently accomplish assignments within lean timelines

· Able to work confidently with members of the Judiciary and legal community

· Proficient in Microsoft Office applications, particularly Microsoft Word, Excel and PowerPoint

· Passionate about lifelong learning