Total 4,811 job vacancies in Singapore

Background

We are building the next-generation Social Gaming & AI platform for the world — where users can swipe and instantly play thousands of mini-games, chat or voice with friends, engage in PK battles, and co-create interactive content.

By integrating AI-driven personalization and creation tools, we’re creating a new social ecosystem that blurs the line between playing, sharing, and creating.

About the Role

We are not looking for someone who just measures numbers — we’re looking for someone who understands why the numbers move. As our Data Intelligence Analyst, you will bridge data science, behavioral psychology, and design, uncovering the cause-and-effect patterns that drive user growth, retention, and monetization.

Your mission: move beyond dashboards and correlations to discover the underlying levers of user behavior — the interventions that actually change outcomes.
If you’ve ever asked “Why did this work?” or “What would have happened if we didn’t run that event?”, you’ll feel right at home here.

Key Responsibilities

• Causal Insight Generation – Design and conduct causal analyses (A/B tests, quasi-experiments, and observational studies) to understand the drivers behind player engagement, retention, and revenue.

• Behavioral Analysis – Decompose player journeys using causal frameworks (DAGs, counterfactual thinking, intervention modeling) to pinpoint what actions create lasting value.

• Experimentation Partner – Work with product, growth, and live ops teams to design experiments that identify true lift, not just correlation.

• Strategic Storytelling – Translate complex causal findings into clear narratives and growth strategies. Help leadership move from “what happened” to “why it happened” and “what to do next.”

• Cross-Functional Collaboration – Partner with marketing and product to test hypotheses, evaluate new features, and optimize player funnels through data-driven interventions.

• End-to-End Ownership – From hypothesis framing → data modeling → interpretation → communication — you’ll own the complete analytical lifecycle.

What We’re Looking For

• 1-5 years of experience in data analytics, business intelligence, or product analytics.

• Strong command of SQL and experience with analytical scripting languages (Python, R, or similar).

• Practical understanding of causal inference concepts — such as experiments, control groups, confounders, or counterfactual reasoning — even if you haven’t formally studied them.

• Experience designing or evaluating A/B tests, incrementality studies, or campaign lift analyses.

• Ability to think in causal graphs (DAGs) — not just KPIs — to explain why metrics move.

• Strong communication and data storytelling skills: you can translate causal findings into clear product or growth actions.

• Curiosity-driven mindset: you instinctively ask “why” before “what.”

Nice to Have

• Experience in gaming, social platforms, or consumer entertainment analytics.

• Familiarity with causal inference libraries (DoWhy, EconML, CausalML, PyMC, or similar).

• Knowledge of AARRR metrics (Acquisition, Activation, Retention, Revenue, Referral) and how causal drivers affect each stage.

• Understanding of player psychology and in-game economy dynamics.

• Exposure to lift measurement, churn prediction, and viral loop modeling.

What We Offer

• The chance to define why our players stay, pay, and play — not just how many do.

• A high-impact seat at the table: your analysis will directly shape game design, growth strategy, and monetization experiments.

• A collaborative environment where data and causality thinking guide every decision.

• Direct access to leadership and product decision-makers.

How to Apply

Send your resume and (optionally) a short portfolio, experiment write-up, or dashboard sample to hr@Mozat.com

Locum Doctor (Part-Time, On-Site) – Singapore

Join our team as a Primary Care Locum Doctor, combining Saturday clinic sessions with weekday ad-hoc on-site coverage work.

Hours:

• On-site: Saturdays, 8:30 am – 12:30 pm, plus ad-hoc weekday coverage

Responsibilities:

• Manage common primary care and simple acute conditions

• Conduct physical exams, venipuncture, ECG, and interpret results

• Provide follow-up for chronic conditions

• Guide nurses/ancillary staff on-site

• Review health screening results and provide professional feedback

Requirements:

• MBBS/MD, SMC-registered

• Postgrad qualifications preferred (e.g., GDOM, GDFM, MMed, MRCP)

• 3–5 years’ local hospital or primary care experience

• IT-savvy, friendly, and a team player

Note: Locum role; ongoing patient follow-up managed by full-time staff.

Product area

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. 

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Job description

Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating deals, managing vendor and partner relationships and presenting deal recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business.

Additional job description

As a Lead Strategic Negotiator within the Clean Energy and Power team, you will drive critical energy transactions across the Asia-Pacific region, directly enabling the growth of Google's data center portfolio and the achievement of our carbon-free energy goals. You will require managing relationships with key external suppliers including utilities and clean energy developers and collaborating cross-functionally with teams like Finance, Legal, and Engineering to ensure cohesive execution and regional expansion strategy.

Qualifications

Job responsibilities

• Lead transaction discussions, structuring and execution of power connection agreements, renewable energy power purchase agreements, partnerships, and other data center related energy agreements.
• Contribute to the growth of Google's data center portfolio through energy due diligence during site selection for new data center project development.
• Help to set strategy for Google's energy procurement program, including the procurement of carbon-free energy in support of Google's clean energy goals.
• Develop and lead agreement approvals, investment memos, and other transaction related materials with executives and partner teams, work with agreement team members and cross-company partner teams (e.g., Engineering, Finance, Legal, Accounting, etc.).
• Manage relationships with suppliers including utilities, clean energy project developers, data center developers etc.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience negotiating and structuring agreements or leading business development.
• Experience with energy transaction structuring and execution in Asia-Pacific (focus on South East Asia and Australia) power markets (e.g., wholesale and retail), utility rates, renewable energy technologies, or infrastructure project management.
• Experience in energy project development, utility procurement, or finance/consulting.
  

Preferred qualifications

• Master's degree.
• Experience structuring and executing energy supply agreements and Power Purchase Agreements (PPAs) in APAC (especially South East Asia and Australia), with an understanding of the development, financing, and operation of power generation and infrastructure projects.
• Understanding of the complexities of mission-critical projects and ability to manage relationships and discuss agreements with a wide variety of vendors.
• Ability to think outside the box and propose commercially and technically creative solutions.
• Ability to comfortably work in ambiguous, collaborative, and changing environments.
• Excellent stakeholder management skills with regulators and state owned utilities in the energy sector.

Job Responsibilities

Administrative Support

• Maintain and update databases, including operator and event participant records. 

• Support monthly updates of preschool jobs and webpages as required. 

• Manage operational and administrative tasks for workshops, learning journeys and other internal and external outreach events, supporting with registrations and issuing of certificates to participants. 

• Take meeting minutes accurately and circulate them promptly to relevant stakeholders.  

To ensure smooth operations, accurate record-keeping, and timely execution of events and stakeholder engagements 

Branding & Communication:  

• Assist the team in delivering NIEC’s key messages across various platforms and activities.

• Support the safeguarding of NIEC’s corporate brand identity by ensuring correct adaptation and usage of corporate identity materials. 

• Develop basic creatives and content (e.g. articles, short-form videos and more) for NIEC website and social media channels, in collaboration with internal and external stakeholders.  

• Provide content and coordination support for simple video and vodcast productions, including preparation of materials, basic filming or post-production support where required. 

• Ensure regular web updates to keep content accurate, relevant, and aligned with NIEC’s branding and communication objectives. 

To support NIEC’s branding and communications efforts and deliver key messages. 

Support Course Enrolment Target: 

• Create, update and maintain content across digital platforms (eg: website, EDMs, social media) to increase awareness and interest in course enrolment. 

• Support the evaluation of marketing initiatives and compile basic data for ROI analysis.  

To increase awareness of NIEC and support course enrolment target.

Media: 

• Monitor media coverage related to the sector and NIEC and compile regular updates and summary reports for the team. 

• Assist in communicating relevant media coverage to internal stakeholders.  

 To be attuned to media coverage related to NIEC and the sector and support the creation and maintenance of a favourable public image of NIEC.

Event and Online Webinar Support: 

• Supporting and coordinating events and engagements with operators and partners. 

• Assist with pre- and post-course or event coordination with stakeholders, including managing registrations, follow-up emails, billings and evaluations. 

• Support NIEC internal and external outreach events such as Naptime Webinars, engagements with operators and partners, recruitment and outreach events, including registration, publicity, administrative tasks and on-site deployment.  

• Provide on-site support and deployment at school booths, career fairs and workshops. 

 To support the smooth running of events.

Job Requirements

• Diploma in any discipline, preferably in Mass Communication, Digital Marketing or Marketing Communications or related fields.

• Possess relevant experience supporting digital marketing activities, such as assisting with social media asset creation and updates, website management, and event support and coordination.

• Proficient in Microsoft Word, Excel and PowerPoint. 

• Familiarity with design and content creation tools (eg: Canva) is advantageous.

• Familiarity with social media platforms (eg: Linkedin, Facebook, Instagram, Tik Tok, Telegram, WeChat, Xiaohongshu).

• Possess design and video production skills, along with familiarity with tools like Premiere Pro/ CapCut will be an advantage.

• Good written and verbal communications skills in English.

• Strong organisational and time management skills.

• Attention to detail and ability to manage multiple tasks.

• Proactive, adaptable, and willing to learn

• Collaborative team player with good interpersonal skills

• Creative mindset with a positive and resourceful approach

• Proficiency in an additional language is an advantage as there is translation work.

Perks & Benefits:

• Flexible Hybrid Work Arrangement

• Comprehensive Benefits Package

We regret that only shortlisted candidates will be notified.

Start your healthcare career with us — no experience needed! We are looking for a motivated individual to join our dental clinic as a Patient Service Trainee. You will be the first point of contact for patients, ensuring every visit is smooth and pleasant. Full training provided. 5-day work week, day shifts only.

What You Will Do

• Manage patient registration, appointment booking, and follow-up scheduling

• Process patient payments accurately (cash, card, NETS)

• Submit and track dental claims via CHAS, Medisave, and insurance portals

• Respond to patient enquiries professionally — in person, by phone, and email

• Support clinic operations with filing, data entry, and supply management

What You Need

• Diploma or degree in any discipline

• Pleasant personality with good interpersonal skills

• Comfortable using basic computer applications

• Available for rotating day shifts including at least one weekend day

• Fresh graduates and career switchers welcome — training provided

Why Join Us

• 5-day work week with no night shifts — better than most clinics which work 5.5 days or require evening shifts

• All public holidays off

• Structured training programme to build your healthcare administration skills

• Annual leave + Reward Leave

• Medical and dental benefits

• Performance incentives

• Opportunity to grow into Patient Service Associate and beyond

Interested in healthcare but not sure where to start? Join our dental clinic as a Healthcare Trainee. You will learn clinical skills, infection control, and patient care — all with structured training and a supportive team. Enjoy stable hours with a 5-day work week and no night shifts.

What You Will Do

• Provide chair-side assistance to clinicians during dental treatments

• Prepare treatment rooms and ensure all equipment is ready

• Perform sterilisation and infection control duties to the highest standards

• Manage clinical stock and inventory

• Support the team with other tasks as needed

What You Need

• Minimum GCE N Levels or equivalent

• Keen interest in healthcare — no prior experience needed

• Able to work at least one weekend day on a rotating roster

• Willing to learn and grow in a clinical environment

• Candidates with nursing or healthcare experience are welcome

Why Join Us

• Full structured training programme — learn on the job with experienced mentors

• 5-day work week, day shifts only — most clinics require 5.5 days or have evening shifts

• All public holidays off

• Annual leave + Reward Leave

• Medical and dental benefits

• Performance incentives

• Build a career in one of Singapore’s most essential and stable industries

Job Description & Requirements

Job Scope:

· Responsible for the day-to-day warehouse operations including receiving, storage, order picking, stock level, shelf life and space allocation

· Require Class 3 Driving License

· Responsible for weekly physical stock count

· Ensure all warehouse operations work processes are in accordance with the established procedures and standards

· Perform deliveries and collections of goods islandwide

- Rotating Shift

- Public Holiday & weekend need to work

- Manage Team Members well

Position Overview: The Barista will be responsible for preparing and serving a variety of coffee and tea beverages, as well as providing exceptional customer service to patrons of The Bagel Bunch. They will work closely with the kitchen and front-of-house staff to ensure a seamless dining experience for customers.

Key Responsibilities:

• Prepare and serve a variety of hot and cold coffee and tea beverages, including espresso-based drinks, brewed coffee, and specialty teas.

• Provide friendly and efficient service to customers, taking orders accurately and ensuring they are served promptly.

• Maintain cleanliness and organization in the coffee bar area, including cleaning and sanitizing equipment, stocking supplies, and disposing of waste properly.

• Take initiative to learn about the different coffee and tea offerings and educate customers about their options.

• Collaborate with kitchen staff to coordinate food and beverage orders and ensure timely service.

Qualifications:

• Previous experience as a barista or in a similar customer service role is preferred but not a must.

• Knowledge of coffee brewing techniques and familiarity with espresso machines and other coffee equipment.

• Strong communication and interpersonal skills, with a passion for providing excellent customer service.

• Ability to work efficiently in a fast-paced environment and handle multiple tasks simultaneously.

• Flexibility to work specific weekdays and weekends as needed.

Job Responsibilities

• Process purchase orders, sales orders, and e-commerce orders.
• Prepare invoices and update order status.
• Work with the sales team to ensure smooth order flow.
• Reply to customer enquiries through email, phone, or online platforms.
• Provide product information and order updates.
• Maintain good customer relationships.
• Assist with packing and labelling of goods.
• Arrange courier pickups and delivery schedules.
• Coordinate with warehouse/logistics partners to ensure timely delivery.
• Update sales data, order trackers, and simple reports.
• Assist with quotations and basic documentation.
• Help with general office administrative tasks.

Job Requirements

• Fresh graduates are welcome; training will be provided.
• Diploma or degree in Business, Life Sciences, Supply Chain, or related fields (preferred but not required).
• Good communication and teamwork skills.
• Organised, proactive, and willing to learn.
• Basic computer skills (Excel, Word).

Responsible for the overall management and smooth operation of the school

Manage relationships with parents to ensure concerns, issues and feedback are addressed on a timely basis

Handle administrative matters and enrolment as well as staff recruitment

Knowledge of financial and budget management

Reporting of school events/matters to Parent Company in Japan

Job Requirement:

1. Minimum Bachelor's degree

2. Proficiency in Japanese is required due to the need to communicate with Japanese-speaking teachers, students, parents, and the parent company in Japan.

3. Previous working experience within the Japanese education system, with strong knowledge of its policies and structure.

We are seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the GeBIZ X product.

You will play a key role in shaping the product’s data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service.

This role requires strong technical expertise, analytical thinking, and stakeholder engagement skills to collaborate across product, engineering, policy, and business teams to deliver impactful, data-driven solutions.

Decision-making

• When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision.

Ownership

• In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good.

Continuous Learning

• Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.

Our Team

Our team is made up of passionate individuals committed to solving challenges and driving meaningful change. We embrace diversity of thought, encourage experimentation, and foster a culture of continuous learning. As part of this team, you will collaborate with Business Owner, Product Director, Product Managers, UX Designers, Engineers and Business Users to execute the data strategy of GeBIZ X and deliver impactful product outcomes.

[What you will be working on]

Data Strategy, Engineering & Product Delivery

• Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions.
• Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases.
• Develop data models and architectures to support complex business processes and reporting needs.
• Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data.
• Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making.
• Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes.

AI, Machine Learning & Advanced Analytics

• Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant.
• Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management.
• Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities.
• Ensure responsible AI practices, including considerations for safety, fairness, and robustness.

Data Platforms, Integration & DataOps

• Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations.
• Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) to enable real-time and batch processing.
• Champion DataOps practices such as automated pipeline deployments, monitoring, and data observability.
• Ensure data quality, reliability, and integrity across systems and pipelines.
• Proactively manage and reduce technical debt to ensure long-term system stability.

Governance, Risk & Compliance

• Navigate data privacy, governance, and regulatory requirements, ensuring compliance with policies and standards.
• Identify risks in data systems and proactively address potential failure points.
• Align system design with security, performance, and compliance best practices across GovTech platforms.

Leadership, Collaboration & Delivery

• Own and deliver complex data engineering assignments across the full data lifecycle with minimal supervision.
• Break down complex problems into actionable tasks and coordinate delivery across teams.
• Drive high-quality, scalable delivery through engineering excellence and best practices.
• Mentor junior engineers and guide peers through code reviews, architecture discussions, and technical problem-solving.
• Collaborate effectively with Product Managers, Engineers, Designers, and Business stakeholders to deliver integrated solutions.

Strategic Alignment & Organisational Impact

• Contribute to team strategy, balancing short-term delivery with long-term platform sustainability.
• Evaluate new technologies and communicate trade-offs to technical and non-technical stakeholders.
• Participate in cross-team initiatives and align solutions with broader organisational goals.
• Contribute to GovTech communities, shaping best practices and promoting a culture of continuous learning and improvement.

[What we are looking for]

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Job Description:

• Strategically plan and manage operations, manpower, transportation and logistics
• Enforce and ensure workers comply with safety standards and SOPs
• Attend and conduct necessary investigation and inspections for all accidents and infringements
• Resolve all operational issues and report rectification to management
• Prepare and attend weekly safety and operations meetings and reviews

Job Requirements:

• Minimum Degree or equivalent
• Possess Class 3/4 driving license is an added advantage
• Good analytical and problem solving skills
• Good interpersonal and multi tasking skills
• Able to work independently as well as in a team
• Able to work under stress and meet tight timeline
• Able to perform overtime when necessary
• Able to work on rotating shifts/weekends/public holidays when necessary
• Proficient in MS Office

Product area

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Qualifications

Job responsibilities

• Lead complex, multi-quarter initiatives to expand our content safety infrastructure. Manage ambiguous issues, such as integrating specialized safety classifiers or building rapid response capabilities for AI abuse vectors.
• Partner with cross-functional leaders to convert emerging threat intelligence and safety objectives into scalable, production-ready models and technical protections within our serving stack.
• Orchestrate the strategy and execution of our Safety Engineering teams. Ensure our programs tangibly reduce abuse prevalence, improve user safety metrics, and optimize the person hours required for model training and deployment.
• Manage global workflows, coordinating with regional teams to ensure continuous coverage, seamless handoffs, and timely integration and evaluation of safety models for business-critical Gemini releases.
• Coordinate between Infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience. 
• 5 years of experience in program management.
• 2 years of experience developing or launching products or technologies within safety, security, privacy, or a related area.
• Experience with generative AI and machine learning
• Experience managing multi-quarter technical programs involving distributed systems, machine learning pipelines, or infrastructure.
• Experience designing cross-functional engagement models and operations to lead teams through the full execution lifecycle.

Preferred qualifications

• Master's degree.
• 7 years of experience in program or project management.
• Experience in content safety, Trust and Safety, responsible AI, or product policy, including evaluating malicious threats at scale.
• Experience driving alignment across a distributed landscape of stakeholders (e.g., central engineering, Trust and Safety, and various product teams) to land high-impact cross-functional efforts.
• Experience driving and critiquing technical requirements for sensitive, scalable detection systems, including Machine Learning (ML) and Large Language Model (LLM) concepts (e.g., transformers, activations, and efficient training, deployment).
• Understanding of adversarial dynamics, and prioritizing coverage gaps with a problem-centric mindset.

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-Associate-%28LKYSPP%29-%2832384%29/32384-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Nalanda Professorship in India-China Studies is a unique partnership between the National University of Singapore (NUS) and the Nalanda Library Fund Limited (NLFL), grounded in a mutual commitment to research excellence and international cultural exchange. This initiative seeks to advance the study of India-China relations by exploring the deep historical, cultural, economic, and intellectual ties between these two great civilizations.

The successful applicant will be hosted at the Lee Kuan Yew School of Public Policy and will work with the Centre on Asia and Globalisation (CAG) and the Nalanda Visiting Professor based at the Asia Research Institute (ARI). The Nalanda visiting professorship will be held by a distinguished expert in India-China studies, who will conduct original research and oversee a long-term project to compile an encyclopaedia of India-China relations. The initiative will also include archival research, graduate training, public lectures, workshops, and an annual conference—aimed at establishing India-China Studies as a dynamic and influential field of scholarship.

• Assist the Centre on Asia and Globalisation’s work on the Nalanda India-China project and other cognate projects on the geopolitics of India-China relations
• Support the Nalanda project’s research projects and activities
• Support the research of the Nalanda Visiting Professor
• Prepare background briefs, presentations, and monitor development on specific issues 
• Conduct independent research, and write academic and policy research papers and reports
• Compile and manage research materials and outputs
• Provide editorial and management support to research projects, events, and publications 
• Organise and support events, including academic and policy conferences and workshops
• Undertake other administrative duties related to research projects 
• Social media content management and website maintenance

Qualifications

• A Master’s degree holder in a discipline within the social sciences and/or humanities 
• Expertise or interest in India-China studies, historical and/or contemporary
• Strong analytical ability and strong self-motivation 
• Able to work independently
• An ability to engage with research and policy communities in Asia and around the world 
• A strong sense of collegiality 
• Strong spoken and written communication skills in English and Mandarin, essential due to role requirements
• Ability/experience with social media content management tools 

Application Procedure

Applicants should submit in electronic form (MS Word or PDF file) for the following below:

• Cover letter, with a brief statement of research expertise and its relevance to research interests as above
• Detailed curriculum vitae 
• At least one writing sample (in English)
• Two references/recommendation letters (names for now and full letter if shortlisted)
• Joining date: July/August 2026
• Application deadline: May 3, 2026

Please send electronic submissions to the NUS Career Portal.
Only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields with atleast 5 years of relevant experience.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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

Mlion Corporation’s Mangagement Associate Programme is part of the Singapore Global Executive Programme (SGEP), in partnership with Enterprise Singapore.

The SGEP is an exclusive talent development programme developed by Enterprise Singapore in partnership with high-growth local companies that possess global ambitions to build a strong pipeline of young talent within their organisations.

The Management Associate Programme (MAP) of Mlion Corporation is a 24-month engagement that is designed at developing young talents into future leaders who are fearless at instigating positive change and seeking perpetual innovation for the steel industry in Southeast Asia and beyond.

Candidates can expect comprehensive and extensive exposure at Mlion Corporation and its subsidiaries through progressive rotational opportunities. To provide them with the required immersive insights toward various daily functions and operations of the business, stretched assignments and overseas learning experiences will be provided for them.

The MAP programme is purposefully developed at tapping on identifying the unique potential and values of each individual and helping them flourish beyond their capabilities.

To qualify, you must be a:

✅ A fresh graduate with less than 3 years of work experience regardless of academic discipline.

✅ Capable at analytical reasoning, data synthesis, analysis skills and developing business acumen with an entrepreneurial spirit.

✅ Passionate about professional development in the steel and construction industry.

✅ Ambitious at growing a local SME and bringing it onto an international platform.

For more information, you may go on to this website: https://mlioncorp.com/management-associate-programme/

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This position will support the Head of Product Excellence & Transformation in driving the overall end-to-end product development projects and continuous improvement in the overall product development process and transformation.

The individual is also the central point of contact for the assigned products/projects to ensure all processes are in place, coordinate its implementation and ensuring proper governance are in place.

This will include but not limited to, supporting the launch of more innovative products with greater speed to meet the needs of our customers and distributors. This position will report into the Head of Product Excellence & Transformation.

Job Description

• Lead product development process and facilitate cross-functional teams to execute the agreed product plan, while ensuring compliance with the product development policy and SOPs

• Ensure effective communication between the Product management team and our core internal partners in Finance, Technology, Customer Experience, Life Operations, Marketing and Distribution

• Provides regular communication and updates on progress ensure visibility and action on the key risks and issues

• Collaborate with the Product managers and other stakeholders to manage timeline and track implementation progress for the entire product development cycle, from pre-launch to post-launch

• Ensure completion of product launch signoffs, record management of all relevant documents and post-launch review under Product Management

• Identify areas of optimisation and improvements by deconstructing issues and proposing solutions for future improvement

Who we are looking for

Competencies & Personal Traits

• Exhibit ability to deliver effective communication and excellent interpersonal skills

• Possess strong leadership qualities and a mind towards excellence

• Analytical and strong problem-solving abilities

• Dynamic individual who strives in fast moving environment

• Strong analytical, quantitative, problem solving, communication (written and verbal), presentation, and relationship management skills; with a high degree of tact.

Working Experience

• Diploma / Degree with between 5 to 10 years of relevant experience with successful track records

• Prior life insurance product development and implementation experience would be preferred

Education

• Diploma/Degree in Finance/Business/Project Management relevant fields of studies

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

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-%28Resilience-Analytics%29/31461-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a post-doctoral candidates for research in the area of resilience analysis. The responsibilities are as follows:
(1) Develop resilience models for complex systems considering human behaviors and climate changes 
(2) Develop statistical inference techniques to analyze resilience data
(3) Draft and submission of technical progress reports at regular intervals
(4) Present of research progress and latest findings at regular intervals
(5) Publish of quality research journal articles and conference proceedings to disseminate research findings internationally  

Job Requirements

•    (1) Applicants should have a PhD degree in industrial engineering, transportation or other relevant areas.
•    (2) A strong publication record in the area of resilience engineering or data science.
•    (3) Good at programming using Python, R, Matlab or Mathematica. 
•    (4) Good English writing skills for the purpose of research, research progress and research analysis reports.

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-Associate-%28Machine-Learning-in-Chemical-Engineering%29%2C-ChBE/32386-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•     The Research Associate will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 
•    The Research Associate  will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    A Bachelor or Master degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Roles & Responsibilities

PlayFACTO School @ Labrador is looking for experienced and passionate Student Care Teachers to join our team! Positions are available immediatly for the right candidates.

PlayFACTO School is the leading student care provider in positive holistic education and after school care for students of P1-P6. As a Student Care Teacher with PlayFACTO, you will help develop student’s hearts and minds using our unique positive education framework, daily enrichment programmes, and guided assistance of each student's Primary homework assignments.

If you are a passionate educator looking for a fun and engaging environment where you can help your Primary students develop high calibre character and educational foundations for their future, we'd like to hear from you!

Come JOIN US and make difference in student’s lives at PlayFACTO School @ Labrador!

Roles and Responsibility (Student Care Teacher)

• Delivery and presentation of lesson content to children
• Supervision of primary school children (primary 1 to 6) including Chinese to ensure completion of daily homework
• Ensure safety and timely transfer of children from school to student centre when/where required
• Ensure safety and wellbeing of children at all times
• Regularly communicate with parents and guardians regarding children’s progress and behaviour
• Fetching of students from nearby schools when/where required
• Administrative work (sales, collection of fees, and collection of forms) and upkeep of centre premises.
• Any other ad-hoc duties as delegated by Centre Head

Requirements (Student Care Teacher):

• Minimum 1-2 years of experience in education/student care/classroom experience, preferably at the primary level
• Preference given to candidates with Professional Diploma/Advanced/Higher/Graduate Diploma in Linguistics/Languages, Education/Teaching/Training or equivalent
• Able to guide students in primary school subjects including Chinese
• Possess excellent work ethic and professional integrity
• Exhibit a positive attitude when faced with challenges
• Love children and the learning process
• Possess a passion for working with and nurturing children

Benefits (Student Care Teacher):

• Competitive salary commensurate to each teacher’s qualifications, experience, dedication, and skill in the classroom
• Growth opportunities
• Full academic/operational training provided
• Yearly internal Professional Development courses and opportunities for external Professional Development
• A happy and positive work environment!

Does PlayFACTO @ Labrador sounds like a good fit for you?

Please apply here or send your resume via WhatsApp to 8877-2800 or to email it to labrador@playfactoschool.com.sg

• Fluent spoken and written English
• Competent in conducting a wide range of ultrasound studies (e.g. abdominal, hepatobiliary, pelvic, thyroid, breast) independently and according to clinical protocols.
• Physically capable of standing for long periods and assisting with patient positioning.
• Capable of handling sensitive patient interactions with empathy and professionalism.
• Efficient in managing multiple appointments, completing documentation accurately and on time.
• Able to document findings clearly and communicate any urgent abnormalities promptly to the medical team.
• Can manage time efficiently, especially in a setting where multiple scans are scheduled daily across different clinical needs.
• Comfortable working with digital imaging systems, PACS, and adhering to clinical documentation standards.

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-%28Centre-for-Trusted-Internet-and-Community%29/31709-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic and capable full-time Postdoctoral Research Fellow to work on a project on addressing online toxicity. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity.

The contract is for 1 year and is renewable up to 2 years. 

Job tasks

The successful candidate will assist in work towards identifying personas. Responsibilities include conducting digital ethnography, thematic content analysis, and focus groups. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements.

This role includes some project management, including coordinating tasks, tracking and reporting process, and collaborating closely with the research team.  They will also be required to support research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant disciplines, and demonstrated research experience in communication and new media. The candidate should have an interest in and knowledge of online harms and online communities, and be familiar with data collection using API and social media listening tools. Familiarity with Singapore’s socio-cultural landscape is an advantage. Applicants would ideally have experience in quantitative and qualitative research relevant to this multidisciplinary project. Those from social sciences, communications, computer science, or related fields are encouraged to apply.

Essential requirements

• Excellent spoken and written English skills
• Strong ability to follow instructions, adhere to deadlines and demonstrate attention to detail
• Proven ability to collaborate and work in a team
• Strong time management and organisational skills
• Demonstrated ability for project management (e.g. maintain project artifacts such as timelines and reports)

Required documents
To apply, please send in your CV (including 2 referees), a cover letter, and a writing sample in one PDF to the NUS Career portal.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Broadcast Operations Executive, you will be responsible for overseeing linear TV playout operations, providing radio operation support, and monitoring digital TV via IP systems.

The role involves continuously monitoring TV and radio equipment performance to ensure seamless broadcasts. Additionally, you will maintain compliance records and service logs while staying vigilant for any system anomalies or faults. Strong attention to detail, adherence to technical instructions, and effective communication with stakeholders are essential for this role.

Key Responsiblities & Challenges

• Monitor incoming, outgoing, and off-air TV and radio signals to ensure broadcast quality and process continuity.
• Operate live TV playout systems in coordination with News, Studio, and OB productions.
• Oversee and coordinate prompt insertion of ICA traffic messages into Zetta playlists for radio broadcast.
• Ensure hourly radio headline updates on Gold 90.5, 95FM, Warna 924, and 987FM from 8:00 AM to 9:00 PM.
• Verify recorded content segments against cue sheets, commercial breaks, and on-air promotion schedules for accuracy.
• Check and confirm availability of subtitle files prior to broadcast to prevent missing or incorrect captioning.
• Review and validate crawler text to ensure accuracy and compliance before on-air deployment.
• Conduct routine checks of BCP (path C) playlists for completeness and correctness, ensuring readiness for transmission.
• Monitor Free-to-Air (FTA) channels on meWATCH to validate output quality and ensure alignment with scheduled programming.
• Prepare and submit TV playout and radio operation reports based on assigned shift duties.
• Execute recovery procedures swiftly to restore normal on-air service in the event of broadcast disruption.
• Collaborate with program planning, scheduling, and ad sales teams to source filler content for time adjustments.
• Adhere to workplace safety and cybersecurity policies throughout operational tasks.
• Identify recurring issues within TV playout and radio operations and recommend solutions for continuous improvement.

• Diploma in a relevant field.
• Experience in TV and radio broadcast operations will be an advantage.
• Understanding of TV and Radio operations, and playout automation system.
• Knowledge of broadcast workflows, automation playlist and signal transmission.
• Ability to manage live and recorded broadcasts with precision.
• Clearly conveys information to stakeholders, ensuring smooth coordination between teams.
• Listens actively and provides constructive feedback to enhance team performance.
• Works effectively across departments, including News and Entertainment Production Studios, and Technology Group.
• This role operates on a 24/7 shift basis. Candidates should be comfortable with rotating shifts, including nights, weekends and public holidays.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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