Total 5,344 Education / Training job vacancies in Overseas

Monthly Salary: UP to $3800 (Negotiable)

Working Address: ION Orchard

Working Hours: 5.5 day work week, 44 hours 

    shift-based; typically 8hrs x 5 days + 4hrs x 1 day

                             1 day off per week based on rotational basis.

No prior experience required — comprehensive training will be provided.

Responsibilities and Duties:

• Prepare fried dishes (tempura, deep-fried items)

• Prepare soups (miso soup, fish stock soup, and other Japanese soups)

• Prepare chawanmushi, salads, side dishes, and desserts

• Handle ingredient preparation and mise en place

• Manage inventory and ingredient ordering

• Maintain kitchen hygiene, cleanliness, and HACCP compliance

• Oversee equipment maintenance and care

Qualification and Requirements:

Must-Have:

• Passion for cooking and a meticulous approach to food — someone who takes pride in every dish and is committed to delivering consistent quality

• Strong teamwork and communication skills — close coordination with the sushi counter and service teams is essential. You should thrive as part of a collaborative kitchen brigade

• Growth mindset — a desire to develop into a kitchen leader who manages the full back-of-house operation

Nice-to-Have:

• Cooking experience in any type of restaurant or food establishment

• Experience in Japanese cuisine

• Food safety knowledge or certifications

• Inventory or cost management experience

Who We’re Looking For:

• Someone who takes pride in back-of-house work and finds fulfilment in supporting the team

• A person who strives for speed, accuracy, and quality in every task

• Someone who proactively suggests improvements to processes and efficiency

• A professional with high standards of hygiene and food safety awareness

Benefits: 

• OT Payable

• Variable bonus

• AL entitlement

• Staff Meal Provided

• Group Insurance Coverage 

• Growth opportunities and career advancement

• Opportunity to join a new restaurant opening team
  

  Nextbeat Singapore Pte.Ltd.

  EA License Number: 22C1267

  EA Personnel: R22110252

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-AssistantAssociate-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

SAMH manages the Mindset Learning Hub – a “one-stop” centre” that provides vocational training job preparation, personalised coaching, traineeship, psycho-social case management, job matching, placement services & post-employment follow-up for Persons-In-Recovery (PIRs).

PURPOSE

To provide support, guidance, coaching and supervision of Persons-In-Recovery (PIR) in vocational training. To undertake coaching and monitoring of progress of PIRs in traineeship, job trial, On the Job training (OJT) or employment.

This job will also require you to work closely with training staff and caseworkers in developing socio-emotional resilience in PIRs for skills development, motivation and readiness for employment & job sustenance.

KEY RESPONSIBILITIES

• Assess the strengths of PIRs and coach them on leveraging their strengths effectively.
• Assist and guide PIRs in learning to discover and overcome barriers and setting goals, to complete job tasks.
• Help PIRs to develop motivation, social and life skills.
• Provide job coaching in employability hard and soft skills and develop employment plans.
• Advocate for an inclusive work environment
• To maintain proper documentation of assessment, progress of PIRs under traineeship, OJT or employment
• To actively follow up with communications with employers and address issues / concerns with regards to the performance of PIRs at work
• Work closely with the multi-disciplinary team to assess PIRs’ readiness for employment.
• Engaging and participating in talks, trainings and other outreach involvements
• Administrative, documentation and support for any activities

REQUIREMENTS

• Degree and or Diploma in Social Work / Psychology / Human Resource Management.
• Proficient in spoken and written
• Proficient in MS Office
• Possess passion to work within the social service sector and patience in imparting knowledge and skills, prior experience in training or coaching would be an added advantage.
• Open to continuous learning on ways to work with and train people with mental health issues or different special needs
• Possess strong interpersonal skills and ability to engage jobseekers, network and work across boundaries to foster greater partnerships and collaboration.
• Able to travel to offsite work locations, ie. employer work sites, with possibility of more than one location a day.
• ACLP or coaching trained would be advantageous

Workplace: Blk 257 Jurong East Street 24

We regret that only shortlisted candidates will be notified.

• Conduct product training for the company's core brands and products through online, offline, one-on-one, and group training sessions.

• Develop and record product training videos for key products when training materials or videos are not provided by the respective business units.

• Coordinate with various business units to obtain and consolidate product information, training materials, product comparisons, and related content.

• Support and collaborate with local KOLs, customers, and partners for livestreaming, product demonstrations, store visits, and promotional activities.

• Prepare and organize monthly product knowledge assessments and examination materials based on business unit resources, promotional campaigns, and product highlights.

• Monitor training effectiveness and provide feedback to improve product knowledge and sales performance.

• Ensure training content is accurate, updated, and aligned with company objectives.

About the role

As a Franchise Operations Trainer at Paris Baguette Singapore, you will play a crucial role in ensuring the seamless operation and success of our franchise locations. You will be responsible for training and supporting our franchisees and their teams in the overseas countries to deliver exceptional customer service and maintain our high standards of food quality and operational efficiency.

What you'll be doing

• Develop and deliver comprehensive training programs for new and existing franchisees, covering all aspects of operations, including food preparation, customer service, inventory management, and reporting
• Provide on-site support and coaching to franchisees and their staff, ensuring they have the knowledge and skills to effectively manage their operations
• Monitor franchisee performance and provide feedback and recommendations for improvement
• Collaborate with the franchisor team to identify and implement best practices, process improvements, and new initiatives
• Maintain detailed records of all training activities and franchisee performance metrics
• Assist in the recruitment and onboarding of new franchisees

What we're looking for

• Minimum 3 years of experience in a similar Franchise Operations Trainer or TTT experience, preferably within the hospitality or food and beverage industry
• Excellent knowledge of franchise operations, including best practices in training, customer service, and operational efficiency
• Strong interpersonal and communication skills, with the ability to effectively train and coach individuals and teams
• Proficient in Microsoft Office suite and comfortable with using various training and reporting tools
• Passionate about the hospitality industry and committed to delivering exceptional customer experiences
• Flexible and adaptable, with the ability to work in a fast-paced, dynamic environment

What we offer
At Paris Baguette Singapore, we are committed to providing our employees with a rewarding and fulfilling work experience. In addition to a competitive salary, you will enjoy a range of benefits, including:

• Flexi health and benefit
• Opportunities for career development and advancement
• Performance Incentive Bonus
• A collaborative and supportive work environment

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

 ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Conduct classroom training for New Hire operators
• Plan, develop, and deliver technical training sessions to Direct Labor employees
• Develop criteria to evaluate the effectiveness of training activities
• Develop training materials
• Document training events
• Compile and publish training metrics
• Identify potential quality problems, compliance gaps, and possible process efficiency improvements to production management
• Provide feedback and corrective action from the daily defect review
• Train and certify Direct Labor on general training and production process
• Participate in SGA / Team Excellence activities
• Conduct MSA to operators

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. Due to their current expansion plan, they are looking for a Key Account Specialist (Entry Level) – Engineering to join their commercial team. They are located in the (West) – easily accessible.

Responsibilities for Key Account Specialist (Entry Level) :

• Manage assigned customer accounts and act as the main point of contact for commercial matters

• Coordinate RFQs, quotations, costing submissions, and follow-up activities

• Support account growth through new program opportunities and product expansion initiatives

• Liaise with engineering, operations, quality, and production teams on customer requirements

• Track project milestones, sample builds, engineering deliverables, and program timelines

• Coordinate customer requests, project updates, and issue follow-ups across multiple manufacturing sites

• Support new product introduction (NPI) activities and project handovers to operations

• Maintain quotation records, sales pipelines, account documentation, and forecasting updates

• Monitor customer complaints, corrective actions, and resolution progress with internal teams

• Assist in preparing business proposals, account reviews, presentations, and commercial reports

• Support cross-site coordination activities involving Singapore, Malaysia, and China operations

• Follow up on opportunity pipelines and support conversion of projects into mass production programs

Requirements:

• Diploma or Degree in Engineering, Business, or related discipline

• Candidates with 1–3 years of relevant experience in account management, sales coordination, customer support, or manufacturing environments are advantageous

• Exposure to precision plastics, tooling, Electronic Manufacturing Services (EMS), or contract manufacturing industries will be an added advantage

• Familiar with RFQ processes, quotations, project coordination, and customer support functions

• Training Provided

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: job•@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Coastal-modelling-with-AI%29/33271-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow coastal environments.

The successful candidate will work on developing and improving depth-integrated, phase-resolving coastal models, with machine learning techniques incorporated to enhance model accuracy, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to train, validate, and improve model performance.

The developed model will be applied to coastal engineering problems, including wave transformation, nearshore circulation, and extreme coastal processes. Depending on the project needs, the model may also be coupled with high-resolution CFD models to enable multi-scale coastal process modelling.

Job Requirements

•    Possess a PHD in related field such as coastal and ocean engineering. 
•    Preferably with experience and knowledge in numerical modelling, hydrodynamics, wave theories, and artificial intelligence. 
•    Strong written and spoken communications. 
•    Strong quantitative skills. 
•    Having pior good publication record is advantageous.
•    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-Fellow-%28Sustainable-Composite-Materials-for-Coastal-Infrastructure%29/33280-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is seeking a motivated Research Fellow to join an applied research project on bio-based Fiber Reinforced Polymer (FRP) composites for low-carbon corrosion protection of steel structures in severe marine environments.

The project aims to develop and validate sustainable FRP systems derived from bio-based resins as a next-generation solution for protecting coastal and marine infrastructure. The Research Fellow will work closely with a multidisciplinary team from NUS and industry partner Fyfe Asia Pte Ltd, contributing to laboratory testing, durability assessment, field exposure studies, and life-cycle evaluation of bio-based FRP technologies.

The successful candidate will have the opportunity to work on a high-impact national research project aligned with Singapore’s coastal protection, infrastructure resilience, and sustainability goals. This role offers strong exposure to industry collaboration, applied materials research, marine durability testing, and technology translation.

Key responsibilities include:

•    Conduct material characterization of bio-based FRP composites, including mechanical and physical property testing.
•    Design and perform durability tests under simulated marine conditions, including salt spray, water resistance, UV exposure, chemical resistance, accelerated aging, and long-term exposure studies.
•    Evaluate the corrosion protection performance of FRP-wrapped steel and compare it with conventional protection methods such as coatings and galvanizing.
•    Support field investigations and exposure testing at coastal or marine test sites.
•    Analyze experimental data and develop service-life insights for FRP-protected steel structures.
•    Assist in life-cycle cost and carbon emission assessments comparing bio-based FRP with conventional FRP and traditional corrosion protection technologies.
•    Prepare technical reports, research publications, presentations, and project deliverables.
•    Collaborate with academic researchers, industry partners, and relevant stakeholders to support technology validation and translation.

Why Join Us?
This is an opportunity to contribute to a timely and impactful research project addressing one of the most pressing challenges for coastal cities: protecting critical infrastructure in harsh marine environments while reducing carbon emissions. You will work with a multidisciplinary academic-industry team, gain hands-on experience in advanced FRP materials and marine durability research, and help translate sustainable materials technology into real-world coastal protection applications in Singapore and beyond.

Job Requirements

•    Possess a PhD in Civil Engineering, Materials Science and Engineering, Mechanical Engineering, or a closely related discipline.
•    Strong background in one or more of the following areas:
     - FRP composites or polymer-based materials/
     - Corrosion protection of steel structures/
     - Marine durability of construction materials/
     - Sustainable construction materials/
     - Structural materials testing/
•    Familiarity with relevant standards such as ASTM, ISO, ACI, ABS, or equivalent testing and design guidelines would be advantageous.
•    Ability to conduct independent research, analyze data rigorously, and prepare high-quality technical reports and publications.
•    Good communication skills (Written and spoken) and the ability to work effectively in a multidisciplinary team involving university researchers and industry partners.
•    Open to fixed-term contract. 

Responsibilities

• Teach and conduct professional Culinary courses

• Supervise and execute the day to day operations of Academy's kitchens

• Maintain the cleanliness of classrooms and bakery thus providing a positive learning environment

• Part of the team in preparing curriculum and lesson plan for professional courses

• Prepare assessment and examination for the students

• Ensure student evaluations and grading SOPs are executed accurately and as scheduled

• To be proactive in keeping food costs within the allocated budget and seek improvements to reduce food wastes

• Participation in student discipline, monitoring and reporting

• Provide counselling and guidance when students may require

• To be a role model to students and colleagues and uphold At-Sunrice GlobalChef Academy standards (grooming, punctuality, honesty and integrity)

• Any other special projects or special events as assigned by the management

Qualifications, Skills and Experience

• Degree Holder in Culinary

• Possessing an Advanced Certificate in Training and Assessment (ACTA) / Advanced Certificate in Learning Performance (ACLP) and registered with National Adult Educator Registry under TAEPP are mandatory requirements for this role.

If the applicant does not possess the ACTA/ACLP certification, they will be required to obtain it as part of their professional development. In such cases, the applicant must agree to serve a bond with the organization upon completion of the certification. By submitting your application, you acknowledge and accept this condition if applicable.

• 5 years industry experience in Hotels or Restaurants

• Relevant experience in area of specialization (E.g. Western, Asian)

• Competence in delivering education in English

• Creative and able to develop recipes

• Positive attitude and results oriented

• Good sense of humour and play

• Won medals in international Culinary / Pastry & Bakery competitions will be an advantage

• Competent in the use of Microsoft Office System, primarily MS Word and MS PowerPoint

Be part of a dynamic and supportive team — where vibrant culture meets long-term career security.

Benefits:
- Completion bonus up to $600
- Salary up to $3,415
- Comprehensive dental and medical benefits
- Paid training provided
- ⁠Festive Advance (Receive up to 50% of your basic salary upfront before major festivals - subject to eligibility)

Location:
- Island-wide deployment

Work Pattern:
- 4 work 2 off (12 hrs shift)
- 0800 to 2000 hrs
- 1100 to 2300 hrs
*No fixed off days

Requirements:
- Singaporeans only
- Min Sec 2
- Possess a valid motorcycle license: Class 2B (No P-plate)
- Familiar with local routes, traffic conditions & buildings
- Willing to work 12 hrs per shift; flexible shifts

What do you do as a Courier Rider?:
- Perform timely and secure delivery of parcels/documents to designated locations.
- Ensure proper handling and documentation of items during transit.
- Communicate with dispatch and operations teams for route updates and delivery confirmations.
- Maintain delivery logs and submit reports as required.
- Adhere to safety and traffic regulations at all times

Interested candidate can click the “Apply” button or WhatsApp at 9820 8470 for quicker response
We regret that only shortlisted candidates will be notified

At Fort Financial, we are building a team of driven individuals who are interested in developing a long-term career in financial planning and wealth advisory.

This is a structured career pathway where you will receive training, mentorship, and guidance to gradually build your own client portfolio within a regulated financial advisory environment.

You will gain real exposure to financial planning conversations and processes while developing the foundational skills required to grow into a licensed Financial Advisor.

No prior experience is required as full training and support will be provided.

Key Responsibilities

• Engage with clients to understand their financial goals and needs

• Support discussions on financial planning areas such as protection, savings, retirement, and wealth building

• Assist in developing and maintaining long-term client relationships

• Build and manage your personal client portfolio under guidance

• Apply structured advisory processes in a professional and compliant manner

• Participate in training sessions, workshops, and ongoing development programmes

Why Join Fort Financial

• Flexible working arrangement with autonomy over your schedule (subject to progression and performance)

• Performance-based income structure with uncapped earning potential

• Structured training and mentorship programme provided

• Full operational and administrative support

• Clear career development pathway in financial advisory

• Exposure to real client advisory work and financial planning cases

• Supportive, growth-oriented team culture

Who We Are Looking For

• Singapore Citizens or Permanent Residents (due to regulatory requirements)

• Diploma or Bachelor’s degree holders from any discipline

• Fresh graduates and mid-career switchers are welcome

• Strong communication and interpersonal skills

• Self-motivated, disciplined, and willing to learn

• Comfortable with a performance-based career structure

• Interest in finance, business, or client-facing roles is an advantage

Training & Licensing Support

We provide structured support to help you complete MAS-required CMFAS examinations (M5, M9, M9A, HI), along with onboarding training to support your transition into a licensed Financial Advisor.

About Fort Financial

Fort Financial is a financial advisory practice focused on developing professionals who are committed to delivering client-centric financial planning solutions.

We believe in building careers through structured training, mentorship, and real-world advisory exposure in a supportive environment.

Apply Now

If you are looking for a career that offers growth, flexibility, and meaningful client impact, we welcome your application.

Shortlisted candidates will be contacted for the next steps.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Conduct research on 3D/4D scene reconstruction and rendering (e.g., NeRF, 3D Gaussian Splatting, novel view synthesis) and on scene understanding and interaction.

• Develop generative AI for video and 3D/4D generation, world models, and vision-language models (VLMs) / vision-language-action (VLA) systems, with supporting large-scale data pipelines.

• Publish in top-tier venues, contribute to open-source releases, mentor junior researchers, and report project progress.

Job Requirements:

• Master’s degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent.

• Strong research record in computer vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods.

• Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement.

• Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research.

• Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication.

• Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security.

• Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security.

Job Requirements:

• A Bachelor degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities.

• Knowledge of cybercrime concepts and LLM prompt techniques.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice.

• Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences.

We regret that only shortlisted candidates will be notified.