340 AI & Emerging Technologies jobs in Singapore

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Location:

Singapore, SG

Job Function: Investment Insights Group

Job Type: Permanent

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Investment Insights Group
We use advanced quantitative techniques and cutting-edge technological tools to generate insights that drive outstanding investment outcomes for GIC.

What impact can you make in this role?
As an AI Product Manager at GIC, you will play a pivotal role in refining and executing GIC’s AI strategy. You will work closely with leadership to oversee the development and deployment of Generative AI (GenAI) and Machine Learning products and platforms, ensuring they align with our business goals and needs to drive significant business impact and improve investment decision making. You will work closely with leadership to execute our enterprise AI strategy, enabling GIC to harness AI capabilities effectively. Additionally, you will collaborate cross-functionally with data scientists, engineers, and stakeholders to define product features and manage the AI product lifecycle from inception to deployment and beyond.

What will you do as a Product Manager (AI Products)?

• Define and execute enterprise AI strategy for GIC through a clear understanding of the market, customer needs, and business goals
• Engage with stakeholders to gather and prioritize product requirements. Communicate product updates, progress, and challenges effectively, managing expectations and addressing concerns
• Define AI product requirements by translating business goals into actionable product requirements through close collaboration with stakeholders, data scientists, and engineers
• Manage the entire product lifecycle, from prioritization, planning and development, to deployment and updates through close partnership with engineering, data science, cybersecurity, and business
• Conduct in-depth market analysis to identify trends and opportunities relevant to an institutional investor like GIC

What makes you a successful candidate?

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Business, or related field
• 8-10 years in a product management role, preferably in the technology or finance industry
• Strong understanding of artificial intelligence, machine learning, and natural language processing technologies, with experience of applying them to real-world problems
• Experience in leading cross-functional teams and managing complex projects
• Technical proficiency with AI frameworks and tools such as Langchain, PyTorch, or scikit-learn is preferred
• Outstanding communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders
• Passion for innovation and driving positive change through technology

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Investment Insights Group Department here:

Research Fellow (Computer Science/Software Engineering/Artificial Intelligence) page is loadedResearch Fellow (Computer Science/Software Engineering/Artificial Intelligence) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted 8 Days Ago job requisition id R00021469

We are seeking to appoint a research fellow who will contribute to NTU’s mission of advancing cutting-edge research in AI security, especially LLM security and design of more powerful and robust AI agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable expertise relevant to the emerging domains of security of AI agent systems.

Key Responsibilities:

• Conduct advanced research in the areas of AI security and the development of robust, agentic AI systems, with a focus on emerging threats, adversarial resilience, and trustworthy autonomous decision-making.

• Design and implement novel research methodologies to advance the security, reliability, and alignment of next-generation AI agent architecture in complex and dynamic environments.

• Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary research outcomes.

• Prepare high-quality research publications and contribute to proposal writing for competitive national and international research grants.

• Support the supervision and mentorship of postgraduate students and junior researchers involved in security-related projects.

• Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D.

Job Requirements:

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

• Proven research track record demonstrated by publications in top-tier conferences.

• Demonstrated expertise in large language models (LLMs) and their application to AI security, autonomous system reasoning, software vulnerability detection, and robust agentic AI design.

• Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair).

• Excellent programming, analytical, and research communication skills.

We regret that only shortlisted candidates will be notified.

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

What the role is:

Disruptive Technologies Office explores and conducts research and development in emerging scientific fields to uncover potential threats and discover transformative solutions for the Home Team. We are looking for an individual who is interested in research and development at the frontiers of science and technology, specifically in the domain of Artificial Intelligence, and translating R&D work into operational applications for the Home Team. If you love exploring scientific concepts and applying them to solve hard problems, come join us!

What you will be working on:

The jobholder will be responsible for the following, but not limited to:• Conduct research in frontier artificial intelligence technologies including LLMs, generative AI, multi-modal AI, XAI and AI Safety and alignment.• Design, develop and evaluate novel AI solutions and algorithms that can be applied to real-world problems.• Collaborate with cross-functional teams to identify opportunities, develop solutions, and deploy them in practical applications.• Collaborate with partners from the industry, academia and various government entities in AI R&D projects.• Publish research papers in leading conferences and journals and contribute to the development of AI technologies.• Supervise interns, associates and communities of interest in research and development work.

What we are looking for:

Candidates should possess:• PhD in Computer Sciences, AI, Machine Learning or related fields, with relevant working experience in R&D.• Proven track record of research and development in fronter AI technologies including publications in leading conferences and journals.• Experience with large-scale AI models including LLMs and generative AI.• Excellent programming skills in Python and PyTorch.Candidate characteristics:• Able to work well independently and in teams when necessary.• Willingness to explore and venture into new emerging research fields with the ability to think creatively and outside of the box.• Possess strong analytical and critical thinking skills.• Strong verbal and written scientific communication to articulate ideas and collaborate with both internal and external researchers and engineers.• Passionate about bridging the gap between research and real-world technological applications.• Bold enough to try and fail, while having fun in the process.All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.#LI-VL1

About Home Team Science and Technology Agency (HTX)

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth.

About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit:

Overview:

We are seeking a passionate and visionary Senior Product Manager to lead and define the product direction, strategy, and execution of AI-generated and AI-native games. You will need a deep understanding of the potential and limitations of AI technologies (especially AIGC), have keen insights into player demands for future interaction and entertainment experiences, and possess strong execution capabilities to transform cutting-edge ideas into viable product prototypes and demo features using current AI technologies. You will work closely with top AI researchers, engineers, and game designers to explore and build the next generation of gaming experiences.

Key Responsibilities:

1. Strategic Research & Planning

• Conduct in-depth research on global trends, technological breakthroughs, and player behavior shifts in AI-generated content, AI-native applications, and gaming.
• Analyze the disruptive potential of AI technologies (e.g., LLMs, diffusion models, RL, agentic AI) in game design, content generation, gameplay innovation, narrative experiences, and social interaction.
• Define and plan the long-term product vision, strategic roadmap, and phased goals for AI Lab in the fields of AI-generated and AI-native games
• Identify and assess business opportunities and risks associated with emerging forms of AI-powered games.

2. Product Definition & Innovation

• Lead the conceptualization and definition of new game concepts, core gameplay mechanics, and product forms enabled by AI technologies—especially generative AI—to deliver truly "AI-native" experiences.
• Design product solutions leveraging AI to enable dynamic content generation (e.g., scenes, storylines, quests, characters, items), personalized experiences, intelligent NPCs, adaptive difficulty systems, and player creation tools.
• Own product requirements documentation (PRD), clearly defining target users, core value propositions, functional specs, user journeys, and success metrics.
• Drive the implementation of product demos, capable of independently building game demos from scratch using existing AI tools.

3. Technical-Driven Execution & Cross-Functional Collaboration

• Deeply understand the principles, capabilities, and limitations of AI technologies, enabling effective communication with technical teams (researchers, algorithm engineers) to explore feasibility for implementation.
• Collaborate closely with game designers, artists, technical artists, and engineers to ensure technical execution aligns with creative vision.

Qualifications:

1. Must-Have Skills & Experience

• Deep understanding and strong interest in AI, especially generative AI such as LLMs and diffusion models, including their fundamentals, applications, strengths, and limitations. Prior experience in AI-related products (not limited to games) is preferred.
• Strong foresight and strategic thinking: able to anticipate 3– -years tech trends and player needs, challenge the status quo, and conceptualize groundbreaking product formats.
• Excellent innovative thinking and problem-solving skills: capable of refining clear directions from ambiguous requirements, exploring the unknown, and finding innovative solutions.
• Profound understanding and passion for the gaming industry: familiarity with gameplay mechanics, design principles, player psychology, and industry trends across different game genres. Prior experience in game products, especially UGC, procedural generation, or sandbox games is highly preferred.
• Great communication, coordination, and influence: Ability to articulate complex concepts clearly and drive cross-functional, cross-regional teams (technical, design, business) toward shared goals. Mandarin is required in this position as working partners and stakeholders are from China.

2. Preferred Qualifications:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Human-Computer Interaction, or a related field.
• Direct experience in products leveraging AI or machine learning technologies.
• Background in game design or game development is a strong plus.

Join to apply for the AVP/VP, Product Manager (AI Products), Investment Insights Group role at GIC

Join to apply for the AVP/VP, Product Manager (AI Products), Investment Insights Group role at GIC

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Investment Insights Group

We use advanced quantitative techniques and cutting-edge technological tools to generate insights that drive outstanding investment outcomes for GIC.

What impact can you make in this role?

As an AI Product Manager at GIC, you will play a pivotal role in refining and executing GIC’s AI strategy. You will work closely with leadership to oversee the development and deployment of Generative AI (GenAI) and Machine Learning products and platforms, ensuring they align with our business goals and needs to drive significant business impact and improve investment decision making. You will work closely with leadership to execute our enterprise AI strategy, enabling GIC to harness AI capabilities effectively. Additionally, you will collaborate cross-functionally with data scientists, engineers, and stakeholders to define product features and manage the AI product lifecycle from inception to deployment and beyond.

What will you do as a Product Manager (AI Products)?

• Define and execute enterprise AI strategy for GIC through a clear understanding of the market, customer needs, and business goals
• Engage with stakeholders to gather and prioritize product requirements. Communicate product updates, progress, and challenges effectively, managing expectations and addressing concerns
• Define AI product requirements by translating business goals into actionable product requirements through close collaboration with stakeholders, data scientists, and engineers
• Manage the entire product lifecycle, from prioritization, planning and development, to deployment and updates through close partnership with engineering, data science, cybersecurity, and business
• Conduct in-depth market analysis to identify trends and opportunities relevant to an institutional investor like GIC
  
  
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Business, or related field
• 8-10 years in a product management role, preferably in the technology or finance industry
• Strong understanding of artificial intelligence, machine learning, and natural language processing technologies, with experience of applying them to real-world problems
• Experience in leading cross-functional teams and managing complex projects
• Technical proficiency with AI frameworks and tools such as Langchain, PyTorch, or scikit-learn is preferred
• Outstanding communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders
• Passion for innovation and driving positive change through technology
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Administrative
• Industries Investment Management and Financial Services

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Join to apply for the Product Manager - AI & Automation role at Thunes

Join to apply for the Product Manager - AI & Automation role at Thunes

Thunes is the Smart Superhighway for money movement around the world. Thunes’ proprietary Direct Global Network allows Members to make payments in real-time in over 130 countries and more than 80 currencies.

Thunes’ Network connects directly to over 7 billion mobile wallets and bank accounts worldwide, via more than 350 different payment methods, such as GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay and many more.

Members of Thunes’ Direct Global Network include gig economy giants like Uber and Deliveroo, super-apps like Grab and WeChat, MTOs, fintechs, PSPs and banks. Thunes’ Direct Global Network differentiates itself through its worldwide reach, in-house Smart Treasury Management Platform and Fortress Compliance Infrastructure, ensuring Members of the Network receive unrivalled speed, control, visibility, protection and cost efficiencies when making real-time payments globally.

Headquartered in Singapore, Thunes has offices in 12 locations, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo and Shanghai. For more information, visit:

Context of the role

Thunes is seeking a seasoned, technically fluent Product Manager – AI & Automation COE to spearhead our AI-driven transformation across the organization. Reporting to the Data Lead, you will define and execute a strategic roadmap that embeds AI and automation into the core of our global cross-border payments platform — driving both revenue growth and operational efficiency.

We’re looking for someone who has spent the majority of their career immersed in AI and data, with deep technical expertise, but who also brings a strong product and business mindset to the table.You’ve likely built, deployed, or scaled AI systems in production — whether as an engineer, researcher, or data lead — and now want to own the “what and why,” not just the “how.” You understand not just how AI works under the hood, but how to apply it meaningfully in a business context — prioritising what to build, what to automate, and what drives real impact.

This role sits at the intersection of product strategy, data science, and engineering execution. You’ll collaborate closely across all product squads , engineering, compliance, treasury, and operations to turn complex business needs into scalable, intelligent solutions. From identifying high-impact use cases to launching AI-first features, you’ll lead initiatives from 0→1 and beyond.

Success in this role requires hands-on experience delivering real-world AI products, a deep understanding of large-scale data ecosystems, and the ability to connect technical solutions to business outcomes. You should be comfortable designing for automation, scalability, and regulatory compliance — with a clear sense of how APIs and AI infrastructure can be leveraged to build future-ready financial products.

Key Responsibilities

• Define Thunes’ AI adoption strategy & roadmap from the ground up — assessing departmental readiness across data maturity, cultural openness, and aligning each initiative with clear business priorities
• Identify, prioritise, and categorise AI-first opportunities across departments (e.g., payments, compliance, treasury, customer support) — grouping them into revenue drivers (e.g., personalisation, smart FX routing) and efficiency enablers (e.g., intelligent automation, reconciliation operations)
• Develop internal AI playbooks to identify and prioritise opportunities across products, operations, compliance, treasury, and support — including clear criteria for selecting the right approach, whether LLMs, predictive models, automation, or rules-based logic
• Propose AI sequencing strategy — what to build, buy, or prototype in-house over 6–18 months
• Lead experimentation with emerging agentic AI capabilities (e.g., autonomous agents, self-healing workflows), while developing ROI frameworks that weigh time-to-market, infrastructure cost, and operational impact
• Evaluate and recommend vendors or open-source models that align with Thunes’ regulatory and infrastructure context, while partnering with leadership to embed AI goals into company OKRs to drive measurable business impact
• Work with Legal, Risk, and Compliance to ensure AI products meet regulatory and ethical guidelines

Hands on-Technical Product Leadership

• Drive a "scalability-first" mindset within the product development process, ensuring that new features and enhancements are architected for future growth and increasing transaction volumes
• Translate high-impact business problems into AI/ML product specifications, user stories, and roadmaps — collaborating with data scientists and PMs to design effective model workflows
• Write detailed functional/tech specs for AI-powered features, collaborating with design and frontend/backend engineers
• Partner with Product,Data & Engineering teams to build scalable intelligence layers — whether via foundational AI capabilities (e.g., LLM orchestration, RAG, inference layers), rules-based systems, ML, or automation — based on what best fits the use case. Focus on pragmatic, high-impact solutions that balance time-to-market, scalability, and agility
• Work with engineering to determine and define infrastructure and deployment requirements for AI systems — whether on-premise, cloud-native, or hybrid — based on the specific use case, while accounting for regulatory requirements, data residency, and cost-efficiency. Ensure solutions are scalable, compliant, and sustainable

KPI Definition & Performance Measurement

• Define and track key performance indicators (KPIs) related to platform performance, scalability, and operational efficiency to ensure sustainable growth
• Define success metrics for each AI initiative — including model performance (e.g., accuracy, latency), user adoption, and business outcomes (e.g., NPS uplift, cost reduction, or revenue impact)
• Establish baselines and compare outcomes through A/B testing or historical analysis to measure the lift from AI vs. traditional or rule-based approaches
• Collaborate with analytics teams to build real-time dashboards and reporting tools that track product usage, model quality, and operational efficiency
• Report impact regularly to leadership, tying AI initiatives to company-wide OKRs, operational KPIs, and ROI to inform future prioritisation and strategy

Cross-Functional Alignment & Execution

• Partner with functional leaders across compliance, treasury, operations, product, and marketing to surface high-impact, real-world AI use cases that align with business goals
• Collaborate closely with legal and compliance to ensure all AI systems meet regulatory, ethical, and internal standards — especially critical in fintech and payments
• Act as the bridge between technical and business teams, translating value, feasibility, and timelines clearly, while maintaining a centralised backlog of AI initiatives with cross-team dependencies
• Drive education and transparency, helping teams understand the potential and limitations of AI, while ensuring features are well-integrated, non-duplicative, and tied to shared success metrics (e.g., NPS, revenue, cost-per-ticket)
• Foster alignment rituals, including regular stakeholder reviews, product syncs, and impact reporting — promoting responsible AI development and cross-functional momentum

What we are looking for

We’re looking for a hands-on AI and Automation expert — someone who’s spent the bulk of their career building, deploying, or scaling AI product’s, and now wants to bring that expertise into a strategic product leadership role.

At Thunes, we have deep payments expertise — but we’re looking to complement that with true depth in AI. You don’t need to come from a traditional product management background; what matters is that you’ve lived and breathed AI, understand its evolving landscape, and know how to bridge the gap between cutting-edge capability and real business value.

• Have 5+ years of hands-on experience working in AI, machine learning, data science, automation or AI infrastructure — regulated environment preferred but not necessarily required
• Have worked on real-world AI products or systems — from model development to deployment and monitoring — and understand the trade-offs across approaches (e.g., rules-based, ML, GenAI)
• Strong academic background in a technical field such as AI & ML, Computer Science, Software Engineering, or a related discipline. Advanced Degree is highly preferred
• Deep understanding of modern software architectures, distributed systems, and cloud technologies
• Ability to evaluate when to use LLMs, RAG, automation, or traditional logic — and more importantly, when not to
• Comfortable engaging with product, engineering, compliance, and business stakeholders to frame AI use cases in terms of outcomes, not just capabilities
• Proven ability to engage in technical discussions with engineering teams and understand the implications of architectural decisions on scalability and performance
• Demonstrated track record of successfully delivering products that have achieved significant scale and operational efficiency improvements
• Exceptional analytical and problem-solving skills with a strong ability to identify bottlenecks, inefficiencies, and opportunities for process optimisation within complex systems
• Detail-oriented with a passion for leveraging data and technology to drive improvements in operational performance and scalability
• Proven ability to define and drive product initiatives focused on improving platform scalability, reliability, and operational efficiency
• Excellent verbal and written English skills are critical to craft clear technical requirements, design documentation, and effectively communicate complex technical information to diverse stakeholders

Sound like you? Apply now!

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Product Management, Engineering, and Information Technology
• Industries Financial Services and Technology, Information and Media

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Join to apply for the Manager, Artificial Intelligence Office (1-yr contract) role at National University Health System .

Reporting to the Deputy Group Chief Technology Officer, you will propose, develop, and implement advanced Artificial Intelligence/machine learning models and pipelines to enhance clinical workflows within the NUHS cluster. You will also ensure these models and tools are effective and appropriate for NUHS.

• Develop and oversee data collection pipelines across NUHS and partner institutions.
• Ensure data governance, security compliance (PDPA/HIPAA/GDPR), and interoperability.
• Collaborate with IT and clinical teams to automate data extraction from medical records, imaging systems, and wearable devices.
• Lead the deployment of AI-driven predictive models for clinical support and operational efficiency.
• Establish validation frameworks to ensure AI tools are reliable, unbiased, and clinically relevant.
• Work with data scientists, clinicians, and regulators to refine AI applications and design user interfaces for adoption.
• Integrate predictive analytics into EMRs, dashboards, and reporting tools seamlessly.
• Optimize workflows and user engagement by working with human factors specialists.
• Oversee scalable AI deployment across institutions, ensuring reliability.
• Implement APIs and middleware for interoperability.
• Standardize AI outputs, reporting, and data-sharing across clusters.
• Engage with leadership, healthcare providers, and technical teams to drive AI transformation.
• Guide junior data scientists and troubleshoot issues.
• Organize local AI conferences to showcase NUHS AI capabilities.
• Develop strategic roadmaps for AI expansion considering emerging tech and regulations.

• Master’s or Ph.D. in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or related fields.
• Experience in technical documentation, research, and stakeholder presentations.
• Proficiency in Python, R, SQL, and libraries like TensorFlow, PyTorch, Scikit-learn.
• Knowledge of healthcare data standards (FHIR, HL7, DICOM).
• Hands-on experience with deep learning, computer vision, NLP, and time-series analysis.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Understanding of biostatistics, epidemiology, and clinical research methods.
• Experience with large-scale medical datasets and EHRs.
• Knowledge of AI ethics, bias mitigation, and interpretability in healthcare.
• Excellent communication skills for collaboration with clinicians, engineers, and stakeholders.
• Ability to work as part of a team to meet requirements and tasks.

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The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

Job Description

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties And Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives
  
  

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Higher Education, Education Administration Programs, and Strategic Management Services

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Position Purpose

As a Lecturer/Senior Lecturer in Artificial Intelligence you will be expected to prepare and deliver lectures, tutorials, workshops, and laboratories and to assess students in the relevant discipline. This includes developing and supporting academic programs and working with the academic team at Curtin Singapore and Curtin Australia in the development of program change and innovation. The Lecturer/Senior Lecturer in Artificial Intelligence position is also expected to mentor and counsel students on academic matters and may also supervise honors, masters and PhD students.

A contribution to the School’s research output and impact is required. You will assume administrative tasks associated with normal teaching duties and will also contribute to School management and administration generally. You will be expected to participate in activities that foster and build further on existing links with government, industry, communities, and professions in Singapore and internationally.

The Lecturer/Senior Lecturer in Artificial Intelligence position will be within the School of Science, Technology and Engineering. The School delivers high quality personalised education and fosters a strong research culture that includes international collaboration, competitive grants, and high-quality publications.

Key Responsibility Areas

Teaching

This position is expected to contribute to teaching at both undergraduate and postgraduate levels in Artificial Intelligence or related discipline.

This includes the following:

• Prepare and conduct classes in specified teaching areas in a variety of modes including face to face, blended and/or online

• Deliver innovative, engaging and industry relevant curriculum in specified teaching areas

• Diligently set and assess authentic assessment tasks

• Ensure the delivery of high-quality teaching

• Be attentive to and provide internationalisation opportunities in curriculum and pedagogy development

• Facilitate professional learning for the School’s students

• Engage in professional development.

Academic Leadership

This position is expected to develop and support the academic programs and work with the academic team in the development of program change, innovation, and external accreditation. Other duties will include the following:

• Contribute to academic program development, unit development and the management activities of the School including assurance of learning and quality equivalent assessments.

• Actively contribute to the School’s industry-engaged learning

Research

This position is expected to contribute to the research culture, activities, and output of the School, both individually and as part of teams.

This may include the following:

• Research publications in quality refereed journals

• Research that is impactful and contributes to the discipline and practice

• Actively identify and promote collaborative research opportunities and contribute to the development of initiatives designed to enhance such links, including participating in the development of industry and competitive research grants

Student Mentoring

• Supervise Masters by Research and PhD students.

• Counsel students on academic matters

• Mentor students in industry-engaged learning placements

• Consult with students on careers and industry

Administration and Service

• Undertake local unit coordination at Curtin Singapore

• Attend appropriate meetings and committees at the School level and discipline level at Curtin Singapore and Curtin Australia

• Contribute to the effective administration of units within the discipline and across the School.

• Work cooperatively with professional staff to enhance the student experience.

• Be an active member of committees as required for the smooth running of the School

• Contribute to student recruitment activities and promote Curtin Singapore

Builds Relationships

• Maintain and develop professional and industry contacts that assist in the advancement of Curtin Singapore, and School objectives

Curtin Values

Commitment to Curtin’s Values of:

• Integrity: Acting ethically, honestly, and with fairness.

• Respect: Listening, valuing, and acknowledging others.

• Courage: Leading, taking responsibility, and questioning.

• Excellence: Striving for excellence and distinction.

• Impact: Empowering, enabling, and inspiring.

Other

Undertake other responsibilities as directed by the PVC and President, and/or the Head of School of Science, Technology and Engineering.

Key Selection Criteria

Qualifications

• An earned doctoral qualification in the relevant discipline

• A teaching qualification

• Membership of an appropriate professional body

Experience/Knowledge/Attributes

- Demonstrated ability to undertake teaching, associated administrative duties, coordination, and curriculum development at both the undergraduate and postgraduate levels.

- Demonstrated commitment to leading edge/best practice education, including blended learning, online teaching, project-based learning, industry-based learning

- Demonstrated commitment to research, a capacity in the use of a variety of research methods and a track record of publishing in discipline relevant quality academic journals

- High level of oral and written communication skills in dealing with students, staff and contacts in the outside industry environment

- Demonstrated ability to work productively and cooperatively with others in a team environment

- Demonstrated ability, or potential, to attract research funding from sources external to the university or to contribute to funded research projects

- Demonstrated industry experience