Total 5,342 Education / Training job vacancies

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-Assistant-%28Metabolic-Phenotyping-Core-%28MetCPU%29/32546-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Metabolic Phenotyping Core (MetCPU) at the Department of Medicine, Yong Loo Lin School of Medicine. MetCPU provides human metabolic phenotyping services for subjects in clinical studies, who are typically recruited by the researchers themselves. These services include oral and intravenous glucose tolerance tests, the mixed-meal tolerance test, glucagon stimulation tests, euglycemic and hyperglycemic clamp studies, and indirect calorimetry. The Core also collaborates and provides research support service to other researchers in NUS and NUH.

Appointments will be made on a 12-month contract basis, with the possibility of extension which is subject to funding availability and performance.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator, team members and collaborators to ensure the successful completion of research projects and smooth operation of MetCPU. The RA’s principal role is to provide integrated research, clinical, coordination, and administrative support, including serving as study coordinator and liaison with other study teams and collaborators.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in university, hospital, and collaborating laboratories to streamline recruitment, biospecimen collection, biospecimen flow and processing, data collection, data management and will be accountable to the Principal Investigator (PI). The RA will be able to:

• Oversee the general management and day-to-day coordination of the multiple projects across study sites;
• Provide administrative and secretarial support to the projects, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
• Undertake the day to day running of the project at the study site, e.g. Collaborate and coordinate with team members at the study sites, recruitment, data collection at hospitals/university/participants’ homes;
• Maintain study database and tracking logs, as well as assist in preparing both progress and final reports of the project;
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
• Assist with ethics and grant applications, renewals, safety documents, and ongoing regulatory and grant administration.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager. 

Core operations and administration

• Assist with general upkeep of operation needs such as purchasing of items, tracking of inventory/consumables, maintain equipment, maintaining databases, protocols and documentation.
• Assist with any other duties of a similar nature that are delegated by the PI or team manager.

Qualifications

...

Remarks: This is a 1-year contract role with a 3-day work week (Friday to Sunday). The stated salary is pro-rated based on the 3-day work arrangement.

Job Purpose

To serve as a Psychosocial Support trainer under the Centre for Psychosocial Resilience and Humanitarian Studies (CPRHS), Singapore Red Cross Academy.

Job Responsibilities

Training & Development

● Deliver mental health and psychosocial support related training under the CPRHS.

● Develop mental health and psychosocial support related content and teaching aid for training.

Trainer Management

● Oversee and lead trainer management, including assessment and coaching.

● Develop and oversee trainer assessment function

● Conduct internal training for CPRHS’ pool of trainers for curriculum related updates and CPRHS protocols.

Other Duties

● Administration duties related to training, as required

● Facilitate events and advocacy efforts as a representative of the Centre.

About Royal Org
Royal Org is a fast-growing outsourced sales and marketing firm specialising in face-to-face marketing and revenue generation. We partner with clients across industries, including NGOs, lifestyle, energy, and FMCG, to boost brand awareness and drive measurable results.

Why Join Us

• Fast, performance-based career progression
• Supportive, dynamic, and ambitious team culture
• Comprehensive training and mentorship from day one
• Opportunities to develop sales, communication, and leadership skills
• Team events, recognition programs, and travel opportunities
• Weekly Payouts

What You’ll Do

• Represent major brands through in-person marketing campaigns
• Engage customers and build strong relationships
• Collaborate with your team to meet targets and grow together

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us.

At Assure Safety, we offer WSQ training courses for adults in the F&B industry, environmental services industry, ICT industry, and more. We are currently seeking Full-Time Training Coordinators for our training institute.

You should be able to do the following:

• Handle Training Coordination for all upcoming WSQ Courses
• Provide customer service for all training course-related enquiries - incoming and outgoing.
• Handle Phone inquiries, send replies by email, and phone, attend to walk-in customers
• Call Prospective students to advice about training programs
• Collect Fees, Generate Invoices, Receipts, and Do Student Registrations
• Set up Class and Laptops (if needed) for training before class.
• Take care of the Inventory of Books, Pantry for Snacks,
• Assist management in day-to-day operations and office administration.
• You should be able to work for Monday to Friday full days, in our office in the city.

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%2C-School-of-Computing/32538-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems

The Research Fellow will be responsible for developing new techniques for AI privacy or trustworthy-related tasks. This includes:

• Conduct research on the theory, methods and applications of artificial intelligence and security techniques to analyze privacy policies and runtime behaviors in web applications.
• Conduct research on security or trustworthiness-related tasks for web applications, including the use of formal reasoning and verification techniques to improve reliability and compliance.
• Develop methods that integrate large language models with symbolic reasoning or formal techniques to support privacy-related analysis and trustworthy decision-making.
• Write high-quality research papers based on research results.

To address the above tasks, the research may require the integration of machine learning, automated reasoning, and formal techniques for analyzing and improving the trustworthiness of intelligent systems.

   1.  Privacy Policy Compliance Analysis

        Develop methods to analyze whether the runtime behaviors of web applications are consistent with privacy policies, with support from formal reasoning, theorem proving, and trustworthy AI techniques.

   2.  Data Processing Principles Compliance

        Investigate techniques for evaluating whether web applications adhere to data processing principles, including rigorous analysis, automated reasoning, and methods for identifying potential inconsistencies or violations.

   3.  Compliance-Oriented Development Assistance System

        Develop intelligent methods and tools that combine large language models with formal techniques to assist in the analysis, generation, and checking of privacy-related requirements and compliance-relevant behaviors.

Job Requirements

• PhD degree in Computer Science, Mathematics, or other related areas.
• Strong knowledge and demonstrated ability in at least two of the following areas: formal methods, security, machine learning, or trustworthy AI.
• Familiarity with formal techniques such as theorem proving, program analysis, constraint solving, or formal verification.
• Familiarity with large language models and their applications to reasoning, compliance analysis, or trustworthy decision-making.
• A strong research track record as evidenced by publications in leading journals or conferences.
• Excellent communication and writing skills.
• Ability to conduct independent research as well as collaborative research within a team.
• Self-Motivated and takes initiative.

Role

As a Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.

How your work moves the mission forward

• Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
• Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve the robustness of contact-rich assembly tasks.
• Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
• 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
• Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
• Communication: Business fluency in English.

Skills that will differentiate your candidacy

• Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision  for contact-rich tasks.
• Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.

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-Assistant-1%2C-Dept-of-Finance/32527-en_GB/?st=0B473217FD15668574730FF421287EC36ECD5BB3

We regret that only shortlisted candidates will be notified.

Job Description

I am looking for up to two highly skilled and motivated individuals to work with me as full-time research professionals. 

You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s research agenda on macro-financial linkages and historical macroeconomic statistics. This work uses macro and micro data and cutting-edge statistical methods to understand when credit booms endanger financial stability, what the sources of long-run growth are, and how boom-bust cycles can shape the economy of a country for decades. Among other things, you will help to (a) construct novel data sources to measure credit market conditions and historical macroeconomic outcomes, (b) analyse data to understand the role of financial frictions on firm outcomes, and (c) help estimate measures of economic activity ranging back centuries for many countries. 
 
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. You will have access to resources, including part-time research assistants, and collaborate closely with other members of Professor Müller’s lab. The most important requirement for this position is that you are highly ambitious and eager to learn, and you should ideally bring a proven an interest in economic research. 

The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.

Qualifications
Ideal candidates will:
(i)    have a strong background in economics, finance, or data science; 
(ii)    have a proven interest in economic questions, and an interest potentially pursuing an academic path;
(iii)    be able to work independently to solve problems; and
(iv)    be highly organized and pay attention to details.

A background in economics or finance is a plus but not necessary. I have often worked with computer science or data science students as well. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed. 

Candidates should submit the following documents:
•    Cover letter and resume
•    Transcripts from previous academic programs, where relevant
•    If available: A research paper (undergrad thesis, term paper, etc.)

Applications will be reviewed on a rolling basis.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Department / School
NUS Business School

Pay
Competitive with other world-leading research universities

Special Requirements 
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

Product area

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

Job description

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

Additional job description

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

Qualifications

Job responsibilities

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

Minimum qualifications

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

Preferred qualifications

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

Why Join Hysses Singapore?

• Career Growth: Opportunities for professional development and career advancement.

• Employee Benefits: Competitive salary package, health benefits, staff discounts, and performance bonuses.

• Inclusive Culture: A diverse workplace where innovative ideas are valued and teamwork is encouraged.

Position Overview:

Hysses Singapore is seeking a passionate and driven individual to join our Retail Operations Team! In this role, you will be actively involved in retail staff training, store operations, visual merchandising, inventory management, customer engagement, and sales support. You will also work closely with HR, Creative, Marketing, and Management teams to provide operational feedback and drive process improvements. If you thrive in a dynamic retail environment and enjoy creating meaningful brand experiences, we’d love to have you on our team!

Key Responsibilities:

• Lead On-the-Job Training (OJT), Structured-Based Training (SBT) and Continuous Product Training (CPT) programs to build retail staff capability and performance.
• Lead the implementation of visual merchandising guidelines across all retail outlets, by developing and coordinating creative displays, seasonal setups, and store layouts that enhance product visibility and drive sales.
• Oversee new store openings, renovations, and visual rollouts by coordinating with mall management and cross-functional teams.
• Monitor and ensure operational efficiency and productivity, driving the Singapore retail team to meet sales target through effective training inventions and proactive process improvement.
• Maintain high standards of operational readiness and housekeeping.
• Participate in monthly stock checks and audits to ensure inventory accuracy and compliance and implement corrective actions to minimize stock variances and improve operational efficiency.
• Identify operational challenges, recommend improvements, and contribute to the refinement of Standard Operating Procedures (SOPs).
• Proactively support manpower planning and resource allocation.
• Collaborate with Marketing to plan, organize, and deliver retail workshops and customer engagement events.

Required Skills and Qualifications:

• Diploma in Business, Marketing, Retail Management, or a related field preferred. At least 2–3 years of experience in retail operations, training, or visual merchandising.
• At least 1-2 years’ experience in retail operations, visual merchandising and marketing campaigns. Strong eye for design and detail to maintain brand-aligned store displays.
• Proven ability to deliver excellent customer service, apply upselling techniques, and consistently achieve sales targets.
• Strong interpersonal and communication skills to provide effective feedback and work cross-functionally with HR, Marketing, Creative, and Management teams.
• Ability to identify operational challenges, recommend improvements, and contribute to SOP development.
• Highly organized, detail-oriented, proactive, and able to thrive in a fast-paced retail environment.
• Willing to work in a retail environment and follow retail operating hours.

Your new company

A global logistics company is looking for an experienced Market Research & Planning Executive to join their team.

About the job

As a Market Research & Planning Executive, you lead the design and delivery of scalable, reusable analytics solutions.

Your new role

As a Market Research & Planning Executive, you will be responsible for:

• Extract, manage, and analyze external and cross-functional data to deliver revenue and productivity insights effectively.
• Evaluate external market reports and methodologies to develop marketing intelligence supporting strategic decision-making initiatives objectives.
• Analyze customer satisfaction, market reactions, and competitive data to identify growth opportunities and data monetization.
• Lead external lead generation initiatives including budget oversight, supplier management, and database infrastructure development activities.
• Conduct economic, air express, and cargo market analyses to assess short-term and long-term growth potential.
• Prepare sales and business reviews, targets, and reports highlighting insights, abnormalities, and recommendations for management.

What you’ll need to succeed

• Bachelor’s degree in business, computer science, statistics, or related analytical discipline with strong quantitative foundation.
• 2+ years of experience in market research, analytics, and data-focused roles within organizations.
• Proven experience in database management, external statistics databases, and advanced data analytics techniques tools applications.
• Strong proficiency in Power BI or related business intelligence and reporting technologies within enterprise environments.
• Excellent software skills with experience developing reports and implementation plans in dynamic sales environments organizations.
• Strong analytical mindset, stakeholder communication skills, organizational interest, and ability to support commercial projects effectively.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D