794 Natural Language Processing jobs in Singapore

Company

Cynapse Pte Ltd

Designation

AI Research & Development Intern

Date Listed

31 Aug 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Jan 2026, For At Least 6 Months

Profession

IT / Information Technology

Industry

Artificial Intelligence / Smart Automation

Location Name

71 Ayer Rajah Crescent, #04 21, SingaporeSingapore , Singapore

Address

71 Ayer Rajah Crescent, #04 21, Singapore

Map

Allowance / Remuneration

$1,100 - 1,500 monthly

Company Profile

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role, you will:

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor's degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates who are based in Singapore or have experience studying and/or working in Singapore.

Application Instructions

Submit your text CV and answer the following questions via InternSG:

1. Are you currently residing in Singapore?
2. Are you legally authorized to work in Singapore?
3. Will you now, or in the future, require sponsorship for employment visa status?

Kindly note that only shortlisted candidates will be notified.

Apply for this position

Company

Agoo Group Pte. Ltd.

Designation

AI Research & Development Intern

Date Listed

28 Jun 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Aug Flexible End

Profession

IT / Information Technology

Industry

Artificial Intelligence / Smart Automation

Location Name

Science Park Drive, Singapore

Address

Science Park Dr, Singapore

Map

Allowance / Remuneration

$1,000 - 2,000 monthly

Company Profile

Agoo Group is an innovative AI startup based in Singapore, focused on cutting-edge AI solutions that tackle real-world challenges. Our current projects span natural language processing, computer vision, and machine learning infrastructure, and we're looking for passionate interns to join us on this exciting journey.

Job Description

Role Overview

As an AI Research & Development Intern, you will play an integral role in AI experimentation, model development, and optimization. You will work alongside experienced researchers and engineers in a hands-on environment, contributing to groundbreaking advancements in AI.

Key Responsibilities

• Collaborate with team members on AI model development and experimentation

• Assist in data preprocessing, model training, and performance evaluation

• Conduct literature reviews to stay up-to-date with recent AI advancements

• Develop tools and scripts to streamline workflows

• Document findings, experiments, and model behavior

Preferred Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science/Engineering, Electrical & Electronic Engineering, AI, Data Science, or a related field

• Proficiency in Python, JavaScript, C/C++, and experience with for front-end development

• Basic understanding of machine learning concepts and algorithms

• Familiarity with Dify or similar NLP large model application platforms

• Knowledge of network protocols and system communication

• Experience with Ubuntu Linux for AI development and deployment

• Strong problem-solving and communication skills

• Enthusiasm for learning and working on novel AI challenges

Nice to Have

• Experience with data labeling, cloud platforms, or version control (e.g., Git)

• Familiarity with deep learning frameworks or research publications

• Experience in AI/ML libraries such as PyTorch, TensorFlow, or scikit-learn

• Knowledge of Docker, Kubernetes, and system scaling

Why Join Us?

• Gain real-world experience on impactful AI projects
• Work in a dynamic, fast-paced environment with industry experts
• Hands-on mentorship from experienced AI researchers and engineers
• Opportunity to grow into a full-time role

This position is already closed and no longer available.  You may like to view the other latest internships here.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will :

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications :

• Bachelor's degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration :

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

About the role

We are seeking a talented and driven AI Research & Development Intern to join our innovative team at Meridian Global Advisory Pte Ltd. This is a full-time position based in the Central Region, where you will have the opportunity to contribute to the development of cutting-edge artificial intelligence solutions.

What you'll be doing

• Conduct research and development on the latest AI algorithms and techniques
• Collaborate with cross-functional teams to design, implement and test AI prototypes
• Analyse data and derive insights to drive the development of AI-powered applications
• Stay up-to-date with the latest trends and advancements in the field of AI
• Assist in the documentation and presentation of research findings
• Contribute to the overall growth and success of the AI R&D function

What we're looking for

• Strong analytical and problem-solving skills with a keen interest in AI and machine learning
• Familiarity with programming languages such as Python, TensorFlow, or PyTorch
• Experience in data analysis, model building, and algorithm development
• Good understanding of AI/ML principles, including neural networks, deep learning, and natural language processing
• Excellent communication and collaboration skills to work effectively in a team
• Ability to think creatively and come up with innovative solutions
• Currently enrolled in a degree program in Computer Science, Data Science, or a related field

What we offer

• Competitive salary and performance-based bonuses
• Opportunities for professional development and career growth
• Collaborative and innovative work environment
• Flexible work arrangements and work-life balance initiatives
• Comprehensive health and wellness benefits

About us

Meridian Global Advisory Pte Ltd is a leading provider of strategic and advisory services, with a strong focus on leveraging the latest technologies to drive business transformation. Our mission is to empower our clients with innovative solutions that help them stay ahead of the curve. Join our team and be a part of the exciting journey

Apply now to become our next AI Research & Development Intern and contribute to the future of artificial intelligence.

• Develop and fine-tune large language models (LLMs) and reinforcement learning agents for in-game character interaction and dialogue systems.
• Design AI-driven recommendation systems to optimize content discovery and game engagement.
• Build retrieval-augmented generation (RAG) pipelines for dynamic NPC conversations and player queries.
• Integrate speech recognition and text-to-speech models into mobile applications for real-time interaction.
• Deploy AI models using scalable, cloud-native infrastructure (e.g., AWS, GCP, Docker, Kubernetes).
• Collaborate with game developers, UX designers, and product teams to deliver AI-powered features.
• Research and prototype AI solutions related to user personalization, matchmaking, and emotion detection.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field .
• 2+ years of experience in applied AI/ML development (LLMs, RL, NLP, or computer vision).
• Proficiency in Python and frameworks such as PyTorch , TensorFlow , or Transformers (Hugging Face) .
• Experience with LLM fine-tuning , prompt engineering, or retrieval systems.
• Familiarity with cloud platforms and model deployment best practices.
• Strong understanding of machine learning workflows: data preprocessing, model training, evaluation, and optimization.

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team for internship. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.

You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning systems, robotics and computer vision. Your contributions have the chance to create real impact on our products.

What you'll be doing:

• Research, design and accelerate novel generative AI models
• Publish original research
• Collaborate with other team members
• Speak at conferences and events
• Transfer technology to product groups

What we need to see:

• Excellent knowledge of LLM and foundation models
• Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
• Pursuing a PhD degree in computer science or electrical engineering with strong research track records.
• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus
• Familiar with machine learning frameworks.
• Excellent communication skills

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.

On behalf of Pentas Vision, a subsidiary company of Sony Semiconductor Solutions Corporation (SSS), we are seeking for a
AI Research Intern
to support ongoing research projects in simulation and real-world robotics, helping us validate new sensors and algorithms in embodied AI tasks.

This position is ideal for students who are passionate about robotics, multimodal perception, and simulation, and who want to gain hands-on experience in cutting-edge embodied intelligence research.

Pentas Vision specialises in the research and development of AI and in particular - Computer Vision technologies. Our core expertise lies in integrating AI solutions with diverse Image Sensors, facilitating seamless incorporation into embedded devices like mobile phones, IoT cameras, and other relevant devices.

What you will be doing:

• Research Exploration:
  Contribute to research on embodied AI algorithms, focusing on how multimodal sensing (vision, tactile, IMU, event-based, etc.) can enhance robotic intelligence.
• Sensor-Algorithm Integration:
  Collaborate with the team to incorporate sensor signals into learning frameworks, studying their effect on control, manipulation, and perception.
• Simulation Studies:
  Design and conduct experiments in simulation platforms (e.g., MuJoCo, Isaac Sim, PyBullet) to evaluate and benchmark embodied AI approaches.
• Sim-to-Real Transfer:
  Support investigations into transferring policies from simulation to physical robots, including analyzing sim2real gaps.

What you should have:

• Currently pursuing or recently completed a Master's or Ph.D. in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field, with focus on AI, robotics, or embodied intelligence.
• Solid understanding of deep learning architectures, with exposure to reinforcement learning, imitation learning, or embodied intelligence.
• Knowledge of multimodal perception and sensor fusion (e.g., vision + tactile, vision + IMU).
• Hands-on experience in integrating sensors or working with robotic hardware / ROS pipelines (e.g., data synchronization, calibration, basic debug of hardware–software stack).
• Experience with at least one simulation framework (e.g., MuJoCo, Isaac Sim, PyBullet).
• Proficiency in Python, with familiarity in PyTorch or TensorFlow.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
• Strong communication skills.

Preferred Skills:

• Publications in relevant conferences (e.g., ICRA, IROS, CoRL, RSS, CVPR/ICCV) or strong research project record in embodied AI / robotics.
• Participation in robotics competitions / AI challenges or demonstrable open-source contributions related to robotics/embodied AI.

We are building intelligent systems that can see, speak, understand, and act . As an AI Research Engineer , you will work at the frontier of LLM-based agents and multimodal AI , helping us design and deploy interactive systems that reason, adapt, and collaborate with humans.

You'll join a fast-moving team of researchers and engineers working on next-generation agentic architectures , exploring how LLMs can use tools, remember, plan, and respond dynamically across language, vision, and other sensory inputs.

This is not just model tweaking. You'll design full-stack AI behaviors — from prompt design to memory systems to multimodal grounding — that push the boundaries of real-world AI applications.

• Design, develop, and optimize LLM-based and multimodal agent architectures , integrating language, vision, audio, and structured data.
• Conduct experiments in prompt engineering, fine-tuning, RAG (retrieval-augmented generation), multimodal fusion , and reasoning .
• Prototype interactive AI agents that perceive context, understand intent, and perform goal-directed actions .
• Work closely with engineering and research teams on model evaluation, pipeline design , and large-scale experimentation .
• Keep abreast of the latest advancements in LLMs, multimodal models , and agentic workflows .
• Contribute to technical documentation, internal research reports , and (optionally) external publications.
• Collaborate cross-functionally with product, design, and infrastructure teams to bring cutting-edge AI into production.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning , or related fields.
• Solid foundations in algorithms, data structures, and system architecture .
• Proficient in Python with hands-on experience using PyTorch or similar frameworks.
• Experience with LLM tooling and APIs (e.g., Hugging Face Transformers, LangChain, vLLM, OpenAI API, etc.).
• Familiarity with multimodal models (vision-language, audio-language, video-language) and integrating them into AI pipelines.
• Practical experience in fine-tuning , RAG , or agent workflows (e.g., tool-use, memory, planning).
• Strong analytical mindset and ability to reason from data and experiments.

• Publications or open-source contributions in LLM, multimodal, or agentic AI .
• Experience with vector databases , knowledge graphs , or reasoning modules .
• Hands-on work building interactive AI apps (e.g., virtual assistants, autonomous agents, research copilots).
• Understanding of reinforcement learning , LLM evaluation frameworks , or human-AI interaction design .

• Work at the bleeding edge of AI research and real-world deployment .
• Collaborate with world-class talent across AI, product, and design teams.
• Competitive salary, performance bonus, and equity options (for qualified candidates).
• Flexible working arrangements and opportunities to publish, present, or contribute to open-source .
• A mission-driven environment building AI that understands and helps humans — not just answers queries.

Imperial College London and Nanyang Technological University (NTU) are seeking (Senior) Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS).

We are particularly looking for AI Research Fellows with the following backgrounds:

- Medical Imaging

- Medical time-series analysis

- Foundational Models

- Medical AI

- New learning paradigms and representation learning

As an AI Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. Allied to other programmes in Singapore and the UK, it represents a unique opportunity to be at the forefront of research and development into securing the vital information that flows between implantable, wearable and connected medical devices, including those currently in use, and those yet to be developed. The four themes of IN-CYPHER are:

Theme 1 Protecting Implantable Devices

Implantable and wearable medical devices – including both sensors and active devices – operate under strong design constraints. Our research in this area seeks to embed secure design from first principles, and at the most fundamental levels (silicon or substrate) of device design; we also recognise the need to consider the challenge of post-quantum cryptographically secure techniques in the immediate future.

Theme 2 Securing Connected Wearables & Healthcare Systems

Increasingly, medical devices incorporate some form of connectivity, and many of these devices are necessarily designed to be in use for between one and two decades. There is a constant risk of exploit of zero-day vulnerabilities, and therefore a requirement to detect breaches in extremely intricate complex networks and data flow pipelines. We seek solutions to this challenge that embed security at hardware level.

Theme 3 Algorithms for Privacy, Security and Provenance

To control active medical devices – such as closed-loop drug-delivery systems – information moves from sensors and devices along different communications channels; data provenance and integrity are important. Moreover, the use of data-driven algorithms potentially exposes protected patient characteristics, presenting specific technical challenges not only within operational use, but also to product development cycles.

Theme 4 Clinical Innovation & Translation

One area of personalised medicine resides in the use of data for closed-loop drug delivery, including insulin delivery. With key researchers and teams from both Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust, we seek to develop threat models that are suitable for emerging approaches to personalised medicine, and particularly where data-driven techniques might offer improvements to patient outcomes.

Given the span of our research, we are seeking highly motivated researchers to join the IN-CYPHER programme. Unique in its scope, we are developing intelligent technologies that span embedded systems, and the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare.

We are seeking candidates with drive and passion to be self-motivated innovators, to conduct fundamental research and translate findings into real world applications. Candidates with strong publication profiles are particularly welcome, but a willingness to assimilate the complexities of working with innovators of healthcare technology and patient data, and to work as part of a diverse team, are critical. A willingness to contribute and lead on the production of high-quality research outputs is also essential.

The collaborating Departments include senior academics from the Department of Metabolism, Digestion and Reproduction and the Department of Bioengineering at Imperial – the largest Biomedical Engineering Department in the UK – and senior researchers from the School of Computer Science and Engineering (SCSE), School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological University. Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, consistently ranked within the top 10 of the QS University Rankings. Candidates must be resident and based in Singapore, but there will be opportunities for research visits to Imperial's London-based locations.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel , together with an indication of your research interests and their alignment to the programme.

Questions about the recruitment process, should go to the HR at Imperial Global Singapore

Key Responsibilities

Main Duties

• Take initiatives in conducting and planning own scientific work

• Identify and develop suitable techniques for the analysis of data

• Maintain highly organised and accurate record of work

• Maintain and promote the highest standards of scientific integrity

• Actively participate in all aspects of the research programme of IN-CYPHER

• Report research activities both internally and externally

• Present findings to colleagues and at national/international conferences

• Publish in high quality refereed journals

• Collaborate with scientific, clinical and translation partners, to translate research ideas into real-world application and/or positive societal impact

• Attend relevant workshops as necessary

• Develop contacts and research collaborations within IGS, Imperial, NTU and the wider community

• Promote the positive reputation of IGS and the IN-CYPHER Programme

• Contribute to the writing of grant proposals to secure funding for the research program

• Participate in group research meetings and internal seminars

• Contribute to the smooth running of IN-CYPHER and other programmes under IGS

• Assist in the supervision of undergraduate interns, postgraduate research students and research assistants as required

• Comply with IGS' and CREATE practices and to attend courses on safety when appropriate

• Any other duties as may be deemed reasonable by scientific and operations managers of IGS, IN-CYPHER and scientific investigators of the relevant Themes.

Other Duties

• Undertake any necessary training and/or development

• Undertake appropriate administration tasks

• Attend relevant meetings

• Observe and comply with all IGS policies and regulations, including the key policies and procedures on:

- Confidentiality,

- Conflict of Interest

- Business Continuity

- Data Protection

- Equal Opportunities

- Ethics related to scientific conduct and to considerations of patient data, where appropriate

- External Interests

- Financial Regulations

- Health and Safety

- Use of Information Technology

- Policies regarding smoking and e-cigarettes

- Undertake specific safety responsibilities relevant to individual roles, as set out by IGS

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore

Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial Global Singapore is committed to equality and values diversity. IGS adheres to Imperial Values and Behaviours framework.

Person Specification

Requirements

Candidates/post holders will be expected to demonstrate the following Essential (E) / Desirable (D)

Education

a PhD (or equivalent) in any field of engineering, computer science, applied mathematics, or a closely related discipline; (E)

At Senior Research Fellow: 2 to 5 years of post-doctoral research in a field allied to one of the themes of the IN-CYPHER Programme (E)

Experience

Practical experience within a research environment and publication in relevant and refereed journals. (E)

Significant experience in a topic relevant to the IN-CYPHER Programme; by way of illustration, such topics might include: (E)

• Machine Learning and AI

• AI in Healthcare

• Machine learning for time-series analysis

• foundational ML models

• AI privacy, security and safety

Experience of: (D)

• Industrial experience,

• high-stakes domains, such as hospital environments,

• strongly interdisciplinary research

Experience in analysis, interpretation and visualisation of scientific data (E)

Practical experience in any of the following tools/techniques/areas: (E)

• Data-driven research in clinical/medical/hospital/healthcare environments

• medical device design

• medical regulatory processes

• ISO 13485; ISO 27001; ISO 14971

• NIST 800-53; 800-53/FI; 800-30

Experience of working with and supervising students on undergraduate and/or graduate-level projects (D)

Knowledge

Knowledge of research methods and statistical procedures (E)

Knowledge of data presentation and analysis as relevant to specifically themes 3 and 4 (E)

Knowledge of different methods to develop and analyse computational models (E)

Knowledge of computational or engineering techniques relevant to specifically themes 3 and 4 (D)

Skills & Abilities

Ability to conduct a detailed review of recent literature (E)

Ability to develop and apply new concepts (E)

A creative approach to problem-solving (E)

Excellent verbal communication skills and the ability to effectively collaborate (E)

Excellent written communication skills and the ability to write for scientific publication to achieve impact (E)

Ability to direct the work of a small research team and motivate others to produce a high standard of work (E)

Ability to organise own work with minimal supervision (E)

Ability to prioritise own work in response to deadlines (E)

A skill-set aligned with at least one the requirements of the themes 3 or 4 of IN-CYPHER (E)

Other

Willingness to work as part of a team and to be open-minded and cooperative (E)

A flexible attitude towards work (E)

High level of discipline and regard for confidentiality and security at all times (E)

Willingness to undertake any necessary training for the role (E)

Willingness to travel both within the Singapore and to the United Kingdom, and other destinations as required to conduct and disseminate research (D)

Willingness to work out of normal working hours (including weekends) if the requirements of the project demand. (D)

Imperial Global Singapore is committed to equality of opportunity and to eliminating discrimination. All employees are expected to:

1) Champion a positive approach to change and opportunity

2) Encourage inclusive participation and eliminate discrimination

3) Communicate regularly and effectively within and across teams

4) Consider the thoughts and expectations of others

5) Deliver positive outcomes

6) Develop and grow skills and expertise

7) Work in a planned and managed way

Employees are also required to comply with all IGS policies and regulations, paying special attention to:

• Confidentiality

• Conflict of Interest

• Data Protection

• Equal Opportunities

• Financial Regulations

• Health and Safety

• Information Technology

• Smoking

• Private Engagements and Register of Interests

• The regulations of CREATE Tower and of Singapore

They must also undertake specific training and assume responsibility for safety relevant to specific roles, as set out on the College Website Health and Safety Structure and Responsibilities page.

IGS observes the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.

IGS believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. IGS is committed to ensuring that, in cases where this research is deemed essential, animals in are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to:

Interested candidates are invited to submit their applications through the following link: