Total 6 Education / Training job vacancies

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

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.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

We are looking for a Research Associate or Research Fellow to conduct research on the development of AI or AI-enabled software and tools to support nature-positive business transformation in ASEAN. The research will contribute to a new venture aiming to support Southeast Asian businesses in their sustainability transition.

We are looking for a motivated, entrepreneurial researcher who is not only technically strong but also passionate about developing a long-term research vision at the interface between AI and sustainability. The position offers the chance to build a new line of activity, secure follow-on funding, and establish a leadership role within a dynamic, internationally connected research ecosystem.

Key Responsibilities:

• Review recent developments in the field of Large Language Models, agents, and world models for sustainability applications

• Design and develop AI or AI-enabled software and tools tailored to sustainability and nature-positive business contexts, using curated datasets on sustainability reporting in Southeast Asia.

• Implement, test, and benchmark tool performance using open-source frameworks and tools

• Collaborate with sustainability researchers, data scientists, and industry partners to ensure model relevance and usability.

• Develop user-facing prototypes or APIs that demonstrate the model’s practical applications in reporting, analysis, or decision support.

• Contribute to academic publications, open-source releases, and capacity-building activities.

Job Requirements:

• MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.

• Proven experience in large/small language model development or AI-enabled software development

• Strong programming skills in Python, and familiarity with key libraries such as PyTorch, TensorFlow, or Hugging Face Transformers.

• Experience with data engineering (e.g., preprocessing, annotation, pipelines).

• Strong analytical and problem-solving skills, with attention to reproducibility and open-source best practices.

• Experience or demonstrated interest in applied NLP for related contexts (e.g., finance, ESG, corporate sustainability, environmental data)

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

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

· Analysing and detailing the project idea, assessing the project idea in terms of feasibility, cost-effective-ness, risks and success factors in consultation with Business and IT stakeholder

· Develop the project proposal with objectives, resources, milestones, schedule, costs, expenses and project structure

· Drive project proposal through demand governance process

· Set up appropriate project management processes, measure project performance and report status to senior stakeholders

· Initiate escalations to senior stakeholders if needed

· Develop detailed project plan and create work break down structure (subprojects, work packages, etc)

· Set up an appropriate project organization, including identification and management of stakeholders and team members

· Actively lead the team/squad in various project meetings i.e. SIT / UAT checkpoint calls, BRD walkthroughs, Solution Walkthroughs.

· Manage scope, time, budget, risks and issues on an operational level

· Identify the impact of change requests, issues and changes to underlying assumptions; for project plan variances, develop solution proposals and reconcile them with the demand governance stakeholders

· Manage roll-out / go-live and for the hand-over of the solution to the Operations organizations

· Establish and implement project-related quality assurance processes and measures; ensure the quality of the outcomes and drive their respective acceptance and approval

Stakeholder Management

· Represents IT Asia as an ITPL/ Scrum Master when facing off with internal and external stakeholders

· Work with team members to proactively mitigate risk and provide clear communication plan in a timely manner.

· Provide regular project/program updates to stakeholders.

· Present to stakeholders on progress as well as problems and solutions

· Communicate key insights and findings to IT and business counterparts and work closely with them. Lead knowledge sharing with RTB team for newly implemented modules or functionalities.

· Ensure delivery is predictable i.e. stakeholder are updated regular on the progress and the risks

Regulatory Responsibilities &/OR Risk Management

· Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations.

· Ensure appropriate ethical and compliant behaviour within the function by clear demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations

SKILLS REQUIREMENT

· Bachelors degree in Engineering/Information Technology/Computer Science/Related Field

· 12-15 years of IT experience in Project Management in running Waterfall/ Agile projects

· Deep understanding of T24 Core Banking, Temenos wealth suite would be preferred.

· Proven experience in successful delivery of major projects, on time and with quality and within matrix team structures

· Experience in Senior stakeholder management running projects STCs

· Experience in managing project financials (forecast v actual)

· Good understanding of technology trends in banking is preferred

· Working experience of SDLC and Agile methodology

· Strong analytical and problem-solving skills to challenge business/technical requirements to build good and scalable solutions.

· Good written and verbal communication skills including technical writing skills.

· Having very high quality standards for the service delivered to business and have an Eye for attention to detail.

· Ability to work under pressure and manage multiple, concurrent / conflicting priorities with business and IT stakeholders.

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

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

We are looking for a motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

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

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

We are looking for a motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

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