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

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

Key Responsibilities:

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

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

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

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

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

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

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

Job Requirements:

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

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

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

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

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

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

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

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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

Job Title: Learning Ambassador

Role Overview

The Learning Ambassador supports learners throughout their training journey by enhancing the overall classroom experience and providing guidance on their next steps in skills development.

This is a learner engagement and advisory role, focused on building rapport, understanding learner needs, and encouraging continued learning through soft, consultative engagement.

Key Responsibilities

Learner Engagement & Support

• Engage learners before, during, and after classes to ensure a positive learning experience

• Build rapport to understand learners’ goals, motivations, and interests

• Provide general assistance and support during class where required

Learning Advisory (Soft Engagement)

• Introduce learners to:

  • Digital tools for productivity & self improvement

  • Learning Pathways

  • Relevant courses and progression options

• Provide personalised recommendations based on learner needs

• Guide learners in selecting suitable next courses aligned to their goals

• Facilitate enrolment of learners into their next course based on consultation and identified learning needs

• Encourage continued learning in a non-pushy, advisory manner

In-Class Facilitation

• Support trainers and learners during class sessions and break times

• Conduct short sharing sessions or engagements where required

• Engage learners through informal conversations and activities

• Guide learners on their learning journey and next steps

Learner Experience

• Gather feedback and insights from learners

• Highlight concerns and improvement opportunities to the team

Key Competencies

• Strong communication and interpersonal skills

• Confident in engaging groups and individuals

• Ability to influence through relationship-building and advisory

• Adaptable in a fast-paced classroom environment

Success Indicators

• Positive learner engagement and experience

• Strong rapport with learners

• Increased awareness of learning pathways

• Effective guidance towards continued learning

Role Overview

We are seeking an experienced Learning Intervention Teacher who can integrate seamlessly into our multidisciplinary team and make an immediate instructional impact. Reporting to the Team Leader for Education, the successful candidate will be responsible for teaching children with learning difficulties, addressing both behavioural and academic needs, and delivering high-quality education aligned with the organisation’s philosophy, standards, and guidelines.

Key Responsibilities

1. Programme Delivery & Implementation

• Deliver educational programmes in accordance with the organisation’s philosophy, curriculum framework, and established guidelines.

2. Student Assessment & Progress Monitoring

• Conduct periodic assessments to evaluate student progress and ensure alignment with agreed learning objectives.

• Use assessment data to inform instructional planning and intervention strategies.

3. Professional Practice & Standards

• Execute all teaching and related duties professionally and in compliance with organisational policies and ethical standards.

4. Feedback, Communication & Collaboration

• Provide timely and constructive feedback to the Director for Education and parents regarding student progress, challenges, and learning outcomes.

• Collaborate with management and colleagues to improve instructional practices and operational processes.

5. Teaching Materials & Lesson Documentation

• Develop and customise teaching materials tailored to each student’s individual goals and learning needs.

• Document lesson plans, teaching strategies, and student outcomes after each session.

6. Individualised Education Plans (IEPs)

• Design, implement, and review Individualised Education Plans (IEPs) for each student.

• Ensure IEP goals are measurable, achievable, and reviewed regularly.

7. Documentation & Records Management

• Maintain accurate, organised, and up-to-date documentation of all student-related records, assessments, and reports.

8. Research & Professional Development

• Contribute to research initiatives and continuous improvement of teaching methodologies and intervention strategies.

• Stay informed of evidence-based practices in special education.

Technical Skills & Core Competencies

1. Diversity and Inclusion

• Apply principles of diversity and inclusion in interactions and implementation of activities for children

2. Learning Environment Design

• Design quality learning environment according to the child's developmental milestones to engage children purposefully.

3. Intervention Principles and Practices

Demonstrate key principles of intervention practices and approaches independently.

4. Child Screening and Assessment

• Conduct screening and assessment of children's strengths and needs according to their developmental milestones, and formulate intervention plan based on data gathered from the process.
  

Qualifications & Experience

• Minimum Experience: At least 2 years of experience in Special Education or a related field.

• Traineeship Pathway:

  • Candidates without prior experience, including fresh graduates and A-level students, may apply for a 6-month competency-based traineeship programme, with the opportunity to transition into a full-time role upon successful completion.

Why Join Us

If you are passionate about making a meaningful difference in the lives of children with learning difficulties and are committed to delivering high-quality, evidence-based education, we welcome your application.

Cognitive have a structured staff evaluation system, skills development and compensation progression plan for staff members with potential performance upside.

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

What you will do:

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

What We’re Looking For

Must-have

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

Nice to have

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

No prior GEO experience needed — we will learn together.

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 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.

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. 

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!

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.

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.