Total 204 Education / Training job vacancies

Why this Mission? 

Luxury Fashion Retail is evolving rapidly, with growing business size and client demands for individuality. CHANEL’s mission is to engage clients emotionally and durably, and this starts with engaging our own people. As the Retail Learning and Development Partner, you enable Fashion Advisors (FAs) to be the front face of CHANEL, building their confidence, presence, and prestige. The role is crucial for driving both FA loyalty and client loyalty, sustaining business growth through professionalization and personalized engagement  

Impact you can create in the role 

Empower Fashion Advisors by giving them a voice and presence, ensuring their contribution is recognized and valued. Customize and deliver learning solutions that build emotional connections between Fashion Advisors and clients. Drive the shift from mass training to individualized coaching, enhancing adaptability and flexibility among Fashion Advisors. Support people’s development by collaborating with HR, Retail Managers and Boutique leadership to foster career paths and growth opportunities. Enable Fashion Advisor to transmit CHANEL brand values, inspiring exceptional client experiences. 

LEARNING PATH & COACHING MANAGEMENT 

• Design, deliver, and monitor learning paths for the retail team, ensuring Fashion Advisors (FAs) have clear development plans and access to relevant training. 

• Observe client–staff interactions regularly to identify capability gaps and learning needs. 

• Develop and implement individual and team coaching plans; monitor progress and track outcomes. 

• Facilitate in-boutique learning sessions (Flash Training, Morning Meetings, collection briefings) using blended and digital learning methods. 

• Coach FAs on adaptability and client engagement to build emotional connections and personalize service as well as on brand heritage and collection knowledge. 

• Provide timely feedback based on industry best practices and CHANEL competency frameworks. 

ONBOARDING & INTEGRATION 

• Design and deliver tailored onboarding programs for new hires, covering product knowledge, selling skills, and client experience. 

• Support and guide onboarding buddies to ensure effective integration of new employees. 

• Partner with experts (e.g., Client Engagement Management) to execute client action plans aligned with FA development needs. 

COLLABORATION & CONTENT DEVELOPMENT 

• Co-create learning content and development roadmaps with L&D and cross-functional teams. 

• Partner with boutique management, HR, and regional teams to align learning initiatives with business objectives. 

• Work with subject matter experts to ensure comprehensive product and service training. 

TRACKING, REPORTING & QUALITY IMPROVEMENT 

• Monitor training effectiveness using KPIs and provide insights into staff performance and client trends. 

• Share workforce and client insights with retail leaders to support decision-making. 

• Use Client Satisfaction (CSS) data to refine learning strategies and drive continuous improvement. 

PROCESSES & SYSTEMS IMPROVEMENT 

• Standardize and improve learning processes, including training administration and feedback systems. 

• Ensure compliance with global and regional guidelines and update SOPs when required. 

• Collaborate with IT, HR, and operations to enhance learning platforms and systems. 

KEY STAKEHOLDERS 

Internal: Retail leaders, boutique teams, Fashion L&D, HR, marketing, Visual Merchandising, styling teams, regional L&D/HR, business partners. 
External: Training vendors, consultants, event venues, F&B providers, and production suppliers. 

You are energized by 

• Observing and analyzing client–staff interactions to identify growth opportunities for Fashion Advisors and the retail team. 

• Designing creative learning and coaching solutions tailored to individual and boutique needs. 

• Working in a fast-paced luxury retail environment, staying agile and adaptable amid change. 

• Collaborating with diverse stakeholders, boutique teams, retail leaders, HR, and L&D to drive people and business impact. 

• Facilitating meaningful conversations that empower individuals to build confidence, voice, and presence. 

• Delivering engaging in-boutique training and on-the-floor coaching that supports real-time development. 

• Challenging the status quo and introducing new ideas to enhance learning and client experience. 

What You Will Bring 

• Strong analytical and observation skills to generate insights and identify development opportunities. 

• Excellent collaboration and communication skills, with the ability to build positive relationships across all levels. 

• Agility and adaptability in a dynamic retail and learning environment. 

• Ability to perform in a fast-paced, multicultural, boutique setting. 

• Passion for learning and development, with strong interest in luxury retail business. 

• Innovative and proactive mindset in designing engaging learning solutions. 

• Confidence to speak up, challenge the status quo, and drive people and client excellence. 

•  Successful adoption of best practices and strategic priorities across boutique teams. 

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience, and potential you could bring to Chanel.  

Location: Buona Vista
Type: Permanent
Working hour: Mon-Fri office hour

Leadership & Strategy

• Lead and manage the training faculty team to deliver high-quality learning programmes.
• Develop competency frameworks, training roadmaps, and capability-building strategies aligned with organisational priorities.
• Advise senior leadership on training, learning innovation, and development initiatives.

Programme Development

• Oversee review, enhancement, and creation of training programmes for community leaders and staff.
• Ensure programmes promote growth mindset, leadership, engagement, and effective community building.
• Monitor adult learning trends and modern training methodologies to keep programmes current and effective.

Stakeholder Management

• Partner with internal divisions, government agencies, institutes of higher learning, and private organisations.
• Provide consultancy to stakeholders on training design and workforce capability development.
• Represent NACLI in taskforces, committees, and cross-functional projects.

Team Development

• Coach and develop faculty staff capabilities and career growth.
• Drive performance management, succession planning, and staff engagement.

Requirements

Education

• Degree in Adult Learning, Training & Development, Social Sciences, or related disciplines.
• ACTA / ACLP / DACE / DDDLP certifications preferred.

Experience

• Minimum 10 years of leadership experience in training, learning & development, or management roles.
• Strong understanding of community engagement, public sector, or social development sectors preferred.
• Experience in adult learning facilitation and curriculum design is highly advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chee Yung Chen (Zack) - R23112910
ScienTec Consulting Pte Ltd – 11C5781

R&D Specialist 

Location: Tuas, Company Transport / Transport Allowance $120 if candidate possess own vehicle to work

Basic: $5000 to $5500

Working hours: Monday to Friday (8am to 5pm)

Requirements

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

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.

Interested applicants kindly submit your resume through here and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

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-Fellow-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
•    The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record;
•    Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Jan 2025

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

Job Description

The National Quantum Federated Foundry (NQFF) is seeking a research engineer to join a multidisciplinary team developing essential quantum hardware and device components. The candidate will join our efforts spanning multiple quantum technology platforms ranging from trapped ions to integrated photonics and superconducting devices.

About the role

You will be embedded in a team of research scientists and engineers, contributing hands-on to the development and characterisation of quantum hardware. Based on your strengths and experience, your work will be shaped around one or more of the following focus areas:

• Device Fabrication & Engineering — Perform device fabrication and support the development and optimisation of the processes: this may include cleanroom-based nanofabrication work, electrical assembly (wirebonding, soldering, etc), and prototyping (machining, 3D printing, etc).
• Optical & Photonics Engineering — Perform optical & electrical characterization of photonics devices; construct and maintain optical measurement setups for device testing; data analysis and feedback towards improved device designs.
• Cryogenic Systems & Measurements — Set up, operate, and maintain cryogenic systems (incl. dilution refrigerators, cryostats); integrate and test quantum devices at (down to) millikelvin temperatures; develop automated testing workflows, acquire and analyse experimental data.

What we’re looking for:

• Bachelor’s degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or a related discipline.
• Hands-on laboratory experience relevant to one or more of the focus areas above
• Familiarity with experimental data acquisition, analysis, and presentation
• Strong communication skills and a collaborative working style

Experience in any of the following would set you apart:

• Optical setups and laser systems
• Electrical/RF electronics and associated test equipment
• Cleanroom nanofabrication
• Mechanical design with CAD software
• Programming (especially in Python) lab equipment for testing automation

About NQFF:

The National Quantum Federated Foundry (NQFF) is a national quantum programme supporting Singapore's quantum R&D ecosystem and industry partners. Functioning as a research foundry, NQFF covers the full device development cycle — from design to fabrication and characterisation — with the goal of translating next-generation quantum devices towards real-world applications.

NQFF is hosted at A*STAR IMRE, with teams operating across A*STAR IME and the National University of Singapore (NUS).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

• 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-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32616-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32621-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32619-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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

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-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

We are looking for a proactive Training & Development Executive to join our HR team. This is a dynamic, hands-on role where you will be the "face" of training for our frontline teams. You will spend approximately 70% of your time facilitating engaging workshops and providing in-store coaching, while dedicated 30% to the essential administrative and analytical reporting that keeps our 19 stores operating at excellence.

• Drive Holistic Onboarding: Coordinate and execute the onboarding journey for retail frontline staff and corporate executive-level new hires. You will partner with Operations Management to ensure the "Buddy System" is effectively implemented at the store level for seamless integration.

• Facilitation & Brand Excellence: Deliver engaging Service Excellence workshops and review corporate grooming standards with new hires to ensure our team consistently represents our premium brand.

• Manage Specialized Learning Portals: Serve as the primary point of contact for airport-specific training, including QSM registrations, the One Changi Learning portal, and managing Extra Miles Award matters for operations.

• Coordinate Mandatory Compliance: Oversee mandatory training sessions, including First Aid, Trade Compliance, and Security Compliance, ensuring all employees meet essential regulatory and industry requirements.

• In-Store Coaching: Regularly visit stores across Changi Airport terminals to provide real-time, constructive feedback on service standards and operational behaviors.

• L&D Operations & Process Improvement: Review and refine Learning & Development SOPs and processes for continuous improvement. You will also manage training-related financial administration, including Expenditure Proposals (EP) and payment requisitions to external providers.

• Data-Driven Reporting: Prepare comprehensive weekly and monthly HR reports for the L&D function, ensuring training effectiveness and participation are accurately tracked.

• Shape Company Culture: Review, propose, and execute Employee Engagement programs and activities that foster a positive and collaborative workplace culture.

• Ad-hoc Support: Assist with broader HR initiatives and general affairs projects as assigned by management.

Why you should be interested:

• The World's Leading Stage: Work at Changi Airport, an iconic global landmark ranked as the world's best airport for 14 years. You will be part of the excellence that defines this world-class travel hub.
• Diverse Scope of Impact: From onboarding corporate executives to coaching frontline staff, your work touches every level of our Singapore operations.
• Strategic Contribution: Beyond delivery, you will have a seat at the table in improving L&D processes and shaping our employee engagement strategy.
• Global Brand Visibility: Work closely with HR leadership in a high-visibility role within a global brand environment, offering significant variety and professional challenge.

Requirements:

• Degree or diploma in Human Resources, Training & Development, or related field.
• Demonstrated Facilitation Experience: Proven ability to lead workshops and engage diverse learners, ideally within a retail, F&B, or high-touch service environment.
• Strong Administrative & Reporting Skills: High proficiency in Microsoft Excel and the discipline to manage meticulous training records and financial documentation.
• Proactive & Detail-Oriented: Ability to review processes/SOPs and identify opportunities for improvement.
• Communication Skills: Excellent verbal and written English to effectively partner with operations management and corporate stakeholders.
• comfortable coming into contact with Liquor & Tobacco products during the course of trainings and coaching.
•  Analytical and details oriented

Preferred/Bonus Requirements:

• Experience within Travel Retail or a high-volume airport ecosystem.
• Familiarity with SkillsFuture Singapore (SSG) or WSG training grant applications.
• Prior experience managing employee engagement activities or corporate onboarding.

At Knight Frank, we are leaders in real estate advisory services, driven by our commitment to delivering exceptional property and facilities management services. Our success is built on the expertise of our people, and we strive to create a culture where innovation, teamwork, and a client-first approach are at the forefront of everything we do.

We believe that our people are our greatest strength. We seek passionate, dynamic, and motivated professionals to join our team and contribute to the seamless operation and management of world-class properties. Whether you are starting your career or a seasoned professional, we offer the opportunity to grow and thrive in a collaborative and progressive work environment.

Be part of a company that values continuous learning, career development, and a relentless commitment to excellence. If you’re ready to make a meaningful impact in the world of property and facilities management, we invite you to explore our exciting opportunities.

About the role:

As a Learning & Development (L&D) Executive, you will play a key role in supporting the administration and execution of learning and development programs across the organisation. You will assist in ensuring that training records are well-maintained and up-to-date, and engage frequently with our staff and external training providers to meet the company’s learning needs. This role is perfect for someone who’s passionate about people development, highly detail-oriented, and eager to learn and grow with our colleagues.

What you will be doing:

• Oversee the administration of course registration, certification processes, training subsidies, and payment management.
• Maintain comprehensive training records and evaluate the effectiveness of training programs to ensure they support present and future organizational goals
• Conduct regular reviews and update internal and external training courses to ensure relevance and alignment with business goals.
• Partner with management and business leaders to assess and identify training needs across the organization.
• Source, evaluate, and collaborate with external training providers to design and deliver tailored learning solutions.
• Manage and communicate the organization’s training calendar, course offerings, Standard Operating Procedures (SOP), and training policies.
• Lead and manage mentorship programs and other internal development initiatives to foster continuous learning.

What we’re looking for someone who’s:

• At least 3 years of experience in Learning & Development.
• Preferred qualifications include Advanced Certificate in Training and Assessment (ACTA) or Advanced Certificate in Learning and Performance (ACLP).
• A Diploma or higher qualification in Human Resource Management.

Why Knight Frank?

• Lots of opportunities for growth and career development.
• A supportive, collaborative team that values what you bring to the table.
• Continuous learning and development to help you advance.

If you’re ready to make an impact and grow your career in property management, we’d love to hear from you!

The Workplace Safety & Health (WSH) Management Representative is responsible for overseeing the implementation and maintenance, ensuring compliance with regulatory and accreditation requirements (e.g. MOM, WSHC, SSG, ISO standards), including adult educator management and courseware development.

This role bridges WSH governance, training quality assurance, and operational compliance within RTP.

Key Responsibilities

1. WSH Governance & Compliance

• Implement, maintain, and continuously improve the organisation’s WSH Management System and in accordance ISO 29993 standard 
• Ensure compliance with:
• Workplace Safety and Health Act Coucil
• Ministry of Manpower
• ISO standards
• SkillsFuture Singapore
• Plan and conduct internal nspections, and management reviews
• Maintain proper documentation for audit readiness and regulatory submissions

2. Adult Educator / Trainer Management

• Recruit of adult educators 
• Ensure adult educator meet required certifications (e.g. ACLP/ACTA, domain qualifications)
• Monitor adult educators’ performance, conduct evaluations, and provide feedback
• Ensure adult educators adhere to:

• Code of conduct

3. Courseware Development & Quality

• Develop, review, and update:
• Learner guides
• Trainer guides
• Assessment materials and tools
• Ensure courseware alignment with:
• WSQ competency standards
• Industry best practices and regulatory requirements
• Implement version control and maintain proper documentation for audits
• Work with subject matter experts (SMEs) to enhance course content and delivery

4. WSH Training & Briefing

• Conduct or support delivery of WSH-related training, briefings, and workshops
• Promote WSH awareness and safety culture within the organisation and training environment
• Ensure training facilities and practical areas comply with safety requirements

5. Risk Management & Incident Handling

• Conduct risk assessments and workplace inspections
• Investigate incidents, accidents, and non-compliances
• Recommend and implement corrective and preventive actions
• Monitor and report WSH performance indicators

6. Stakeholder Management

• Liaise with internal and external stakeholders, including:
• Trainers and staff
• Learners and corporate clients
• Regulatory bodies (e.g. SSG, MOM)
• Handle feedback, complaints, and audit queries professionally
  

Job Requirements

Qualifications & Certifications

• ACTA / ACLP certification 
• DACE / DDDLP certification
• Diploma or Degree in Workplace Safety & Health, Engineering, or related field (preferred)
• Certified WSH Officer (WSHO) or equivalent 
• Any other relevant certificates

Experience

• At least 2–5 years of relevant experience in:
• WSH management and compliance
• Training operations within RTP or education environment
• courseware development or adult educator management
• Experience in WSQ framework, SSG / MOM / WSHC / ISO audits, and funding requirements is an advantage

Skills & Competencies

• Strong knowledge of WSH regulations and compliance frameworks
• Familiarity with WSQ, SSG systems, and Training Management Systems (TMS)
• Good organisational and documentation skills
• Strong communication and stakeholder management abilities
• Ability to manage multiple functions (adult educator management, compliance, training quality)

Position Overview:

We are seeking an experienced Trainer (Retail & Development) to join our team. In this full-time position, you will be responsible for designing and delivering comprehensive training programs to upskill our retail staff, ensuring they are equipped with the knowledge and skills to provide exceptional customer service and drive sales.

What you'll be doing

• Developing and facilitating engaging training sessions on product knowledge, sales techniques, customer service, and other relevant retail topics
• Identifying training needs and designing customized programs to address skill gaps
• Facilitate in-store training sessions on weekdays during retail hours
• Monitoring and evaluating the effectiveness of training initiatives, making adjustments as necessary
• Providing one-on-one coaching and mentoring to support the professional development of retail staff
• Collaborate with the HR and Operations teams to identify training needs and design customized modules.
• Collaborating with the management team to align training with the company's strategic objectives
• Monitor training effectiveness through feedback and KPIs to refine future programs.
• Maintaining training records and providing progress reports

What we're looking for:

• Relevant qualification in a field such as Education, Human Resources, or Business
• Minimum 3 years of experience as a Trainer or L&D professional, preferably in the retail industry
• Excellent facilitation and presentation skills, with the ability to engage and motivate adult learners
• Strong understanding of adult learning principles and the ability to design effective training programs
• Proficient in data analysis and using metrics to measure training impact
• Excellent communication and interpersonal skills, with the ability to build rapport with employees at all levels
• Passion for learning and development, with a commitment to continuous improvement

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-%28LWIR-Perception-&-UAV-State-Estimation%29/32576-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open 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 the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments.

The Research Engineer will design and implement LWIR-based odometry and thermal-inertial state estimation frameworks, including multi-sensor fusion with IMU and other onboard sensors. The work will involve both model-based approaches (e.g., filtering and optimization-based estimation) and learning-enhanced methods for improving robustness and generalization across environments.

The candidate will also be responsible for system integration and real-world deployment on UAV platforms, including embedded implementation, sensor calibration, and experimental validation in both indoor and outdoor scenarios. The developed methods will be evaluated in realistic navigation tasks under challenging environmental conditions.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidate should have a Bachelor’s degree from a reputable university, with expertise in robot perception, state estimation, or aerial robotics.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), along with demonstrated experience in state estimation, odometry, or SLAM systems, particularly in robotics applications.  

Qualifications

•    Possess min a Bachelor’s degree in Computer Engineering/Science or related disciplines (e.g., Electrical Engineering, Mechanical Engineering, Mathematics).
•    Have research experience in robot perception, state estimation, SLAM, or sensor fusion.
•    Experience with thermal (LWIR) imaging, event cameras, or other non-RGB sensing modalities is highly preferred.
•    Familiar with visual-inertial odometry (VIO), thermal-inertial odometry, or multi-sensor fusion frameworks.
•    Knowledge of state estimation techniques, including EKF, UKF, factor graph optimization, or moving horizon estimation (MHE).
•    Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus.
•    Proficient in C++ or Python; experience with ROS and real-time robotic systems.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience in sensor calibration (intrinsic/extrinsic) and time synchronization is desirable.
•    Strong analytical and problem-solving skills, demonstrated through relevant publications or projects.
•    Ability to deploy algorithms on embedded platforms (e.g., NVIDIA Jetson) is a plus.
•    Excellent communication skills for publishing and presenting research outcomes.
•    Experience in world-class research environments is highly valued. 
•    Open to Fixed Term contract 

Responsibilities

• Responsible for operations, maintenance, engineering aspects of Instrumentation & Control (ELV) systems and insfrastructure. 
• Manage daily operations to ensure systems are operating in optimal conditions.
• Respond to and perform troubleshooting for all system failures or deficiencies.
• Respond to Issues, Complaints and Queries in a timely fashion, keeping relevant stakeholders abreast.
• Plan and manage maintenance activities in accordance to OEM or regulatory requirements.
• Manage vendors/contractors on outsourced services to meet the fulfillment of contract terms and agreement.
• Involvement in facilities related projects such as Facilities Upgrading, Improvement Projects and Tool Hook-Up. Close liaison with consultants, authorities, contractors, stakeholders and etc to ensure seamless and timely completion of projects.
• Prepare RFQ / tender documents for all purchase requests.
• Compliance to EHS and regulatory requirements for all activities carried out.
• Active contribution in energy conservation program and initiatives.

Qualifications and work experiences

• An engineering degree. Diploma / ITE cert holders with many years of relevant working experience may be considered too.
• Min. 3 years of relevant work experience preferably in a wafer-fab or similar industry.
• Good experience in electrical, ELV and building automation systems.
• Project management skills; Familiar with government procurement policies and procedures is a major plus
• Good working knowledge on other facilities for e.g. HVAC, mechanical systems typical in a wafer-fab is a plus.
• Familiar with the local codes from BCA, URA, SCDF/FSB, NEA and other statutory requirements
• Analytical skills to trouble-shoot basic facilities systems.
• Able to work independently

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated candidatewho has strong experience in auditing IFRS financial statements, as well as apassion for learning and knowledge, to join us as Learning and DevelopmentManager for the Audit and Assurance division.  You will play a pivotalrole in enhancing the skills, knowledge, and performance of our employeesprimarily in the Audit & Assurance businesses, ensuring the continuousdevelopment and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have thefollowing skills and experience:

• Degree or equivalent qualification in Accounting and Finance,
• Strong audit and accounting background supported by at least 6 years of experience in conducting audits of financial statements.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.
• Proficient in Microsoft Office, and familiar with virtual delivery platforms including Microsoft Teams and Zoom.  Prior experience with learning management systems is preferred.
• Meticulous with strong organisation and administration skills.

We are seeking a detail-oriented and organised Learning Design & Course Development Executive to support a project team in the development and maintenance of learning materials and project documentation. The role focuses on instructional support, content preparation, and coordination to enable effective course delivery and project execution.

Key Responsibilities

• Support the development of course materials, learning resources, and related documentation in collaboration with the project team
• Review, organise, and update learning content to ensure accuracy, consistency, and readiness for use
• Format and quality-check learning and assessment materials to maintain clarity and alignment with requirements
• Assist in the development of digital learning content and basic multimedia resources where required
• Coordinate meetings, document discussions, and track follow-up actions to support project execution
• Maintain project records, documentation, and version control
• Support data collation, basic analysis, and administrative tracking for reporting purposes
• Manage and update course content using a learning management system from an end-user perspective (e.g., upload, organise, and maintain materials)
• Perform general administrative duties as required to support the team

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted