Total 2,632 Science / R&D / Research job vacancies

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

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), foundational Computer Vision (CV) models, and agentic AI to address 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.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• 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 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

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

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-%28Scaling-Cooperative-Intelligence%29%2C-School-of-Computing/32566-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.

We are seeking a post-doctoral researcher to join a research group focused on scaling cooperative intelligence. The Research Fellow will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) normative multi-agent systems; (iii) cooperative infrastructure for humans and AI.

Enquiries can be sent to xuan.cs@nus.edu.sg.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or a related field (e.g. Computational Cognitive Science or Computational Social Science).
• Interdisciplinary background in multi-agent systems, agent-based modeling, evolutionary game theory, cultural evolution, or related areas.
• Strong programming skills, and a solid foundation in mathematics and statistics.

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects,and all clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Mechanical Engineer located in Kallang, Singapore.

What a typical day looks like:

• a { text-decoration: none; color: #464feb;}tr th, tr td { border: 1px solid #e6e6e6;}tr th { background-color: #f5f5f5;}
• Responsible for mechanical/structural design and development of power shelf, PDU, and all‑in‑one integrated power products, including design reviews, technical documentation, prototype assembly, tooling requests, part qualification, and tolerance analysis.
• Work closely with engineers and/or customers to align on mechanical requirements, support issue resolution, and conduct effective communication. Travel to customer sites when required for technical discussions, analysis, and problem solving.
• Participate in or take ownership of mechanical testing related to power shelves or power products. Responsible for packaging design and resolving issues identified during testing.
• Support the transition from prototype to mass production, including resolving mechanical design issues and maintaining technical documentation through engineering changes.
• Support factory NPI (New Product Introduction) production lines, resolving mechanical issues encountered during manufacturing.
• Generate and maintain 2D drawings, 3D models, assembly drawings, exploded views, BOMs, assembly instructions, and operating manuals for energy storage and power products.
• Track tooling and mold progress, participate in mold trials, review and implement modifications, and support product testing, certification, and acceptance evaluation.

Experience we’re looking to add to our team:

• Bachelor’s degree or above, with 6+ years of mechanical design experience.
• Proven experience independently delivering Shelf, PDU, or power products from development to mass production; proficient in Pro/Engineer (Creo) or equivalent CAD software.
• Strong knowledge of plastic and metal part design, including material properties, manufacturing processes, applications, relevant mechanical design standards, and safety/compliance requirements.
• Familiar with manufacturing processes such as CNC machining, sheet metal fabrication, casting, welding, stamping, injection molding, and metal surface treatments.
• Basic understanding of electrical safety standards, including busbar current‑carrying capacity calculations.
• Proactive, self‑motivated, with strong learning ability, curiosity, and a continuous improvement mindset; capable of innovation and problem solving.
• Strong teamwork and execution skills, able to work under pressure with a high sense of ownership and responsibility.
• Good English reading and writing skills
  

Position Summary:

The Senior R&D Scientist will join the Advanced Analytics R&D team across Milpitas, California and Singapore. The highly self-motivated individual will play an active hands-on role in algorithm development, work closely with R&D scientists, software developers and application scientists to innovate, prototype, validate, implement and test advanced AI-driven data analysis solutions and algorithms that enhance optical metrology performance.

Roles and Responsibilities:

• Interface with application scientists, product management, and marketing team to understand and analyse customers’ requirements and technology gaps.

• Innovate and develop new concepts, leveraging machine learning and AI techniques to address customer challenges and close identified technology gaps, working both independently and within cross‑functional teams.

• Collect and analyse technical data, conduct literature reviews, propose new methodologies or improvements to existing solutions.

• Conceptualize, design, prototype, and fine-tune algorithms and find the best approach to solve a specific problem.

• Validate, benchmark, and implement advanced algorithms that enhance optical metrology performance.

• Propose and define new features based on RD findings, create clear software requirements and specifications, and collaborate with software engineering teams to drive successful productization.

• Develop and execute test plans to verify algorithm performance, reliability, and readiness for deployment in production environments.

• Play a key role in innovative technology development, deliver solutions that create measurable values for customers and the business.
  

  Qualifications:

  • Ph. D. or Master’s degree in an engineering discipline or physical science.

  • 4+ years’ experience in machine learning research/engineering or related area.

  • Proven experience with AI research in academic or industrial environment, demonstrate a strong sense of innovation and ability to reframe tranditional problems into well-defined, impactful machine learning / AI projects, develop and build solutions with measurable outcomes.

  • Strong programming skills in Python / MATLAB / R; Extensive experience with machine learning libraries such as Scikit-learn; Proficiency in at least one deep learning framework such as PyTorch, TensorFlow or JAX; Knowledge and hands-on experience with large language model, reinforcement learning, generative AI.

  • Demonstrate track record in building and deploying large scale models for scientific or industrial products.

  • Demonstrate intellectual honesty and a sense of urgency in driving projects to completion.

  • Excellent communication skills, ability to present technical materials both to working-level peers and to senior management internally and externally.

  • Experience in one or more of the following areas is a strong plus: optical simulation, estimation and optimization, signal processing, statistics, and data visualization.

  • Experience in the semiconductor or related manufacturing industry is plus, or demonstration of strong motivation and abilities to acquire metrology domain knowledge on the job.

  • Ability to travel up to 25% is preferred.

  • Ability to work independently in a fast-paced, iterative development environment or work within a cross-department collaborative setting (R&D scientist, Applications, Software Development, Integration, ...).

Introduction to The Centre for Precision Fermentation and Sustainability:

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

About This Role:

We are seeking a highly motivated Postdoctoral Researcher to join our team in microbial synthetic biology and metabolic engineering. Our research focuses on designing and engineering microbial systems for applications in precision fermentation. This position provides an exciting opportunity to work on interdisciplinary research at the interface of microbial pathway engineering, metabolic regulation, and advanced analytical techniques.

Duties and Responsibilities:

(1) Conduct high-level research in synthetic biology and metabolic engineering, both independently and in collaboration with internal and external researchers.

(2) Perform experiments involving microbial pathway design, plasmid construction and strain development in microbes.

(3) Utilize advanced analytical techniques such as fluorescence microscopy and high-performance liquid chromatography for experimental validation.

(4) Develop research content and contribute to the writing of peer-reviewed publications.

Minimum Qualifications:

(1) Ph.D. in Synthetic Biology, Metabolic Engineering, Microbiology, or a related discipline.

(2) Extensive experiences in strain engineering and high-performance liquid chromatography.

(3) Experience in culturing and engineering of lactic acid bacteria will be a plus.

Knowledge, Skills, and Abilities:

(1) Strong wet lab skills in microbial pathway design, plasmid construction, and strain engineering.

(2) In-depth knowledge of microbial metabolism and gene regulation.

(3) Demonstrated ability to work effectively in a multidisciplinary research team.

How to Apply:

Interested candidates should submit:

1. A cover letter detailing their research interests and relevant experience.
2. A curriculum vitae (CV) including a list of publications.
3. Contact information for three references.

Shortlisted candidates will be contacted for further assessment.

Location: Punggol
Period: 17 Aug 2026 to 16 Aug2028
Salary: $2200 per month
Working hour:  Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break; Fridays: 7:30am to 4:00pm,inclusive of 30min lunch break

a. Management of resources

• Regular Inventory management in Science Labs includingstock-take, replenishing, repairs and replacement
• Assist HOD (Science) to liaise with vendors inprocurement for inventory management in Science Labs
• Organise resources neatly with name labels in the Science Labs
• Assist the teacher to facilitate student discussions
• Tidying up of Science Labs

b. Preparation of resources

• Co-ordinate loan request from teachers in the ScienceLabs
• Preparing and set up of resources according to scheme of work & specifications given by teachers in the Science Labs
• Printing and photocopying jobs in the Printing Room
• Preparation of teaching aids

Administrative duties:

• Assist with other ad-hocadministrative duties and preparation of resources for the Authority asrequired by the school and/or department

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.
Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chee Yung Chen (Zack) - R23112910
ScienTec Consulting Pte Ltd – 11C5781

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-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-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 Assistant 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 successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Our client is a reputable enrichment and tuition provider in Singapore, with over 20 centres islandwide. They are looking for a passionate Science Tutor [Primary and/ or Secondary level] who is eager to help young learners build confidence and achieve their full potential.

Key Responsibilities:

• Deliver engaging and impactful lessons with interactive and stimulating teaching methods
• Assess and review student work with accuracy and care.
• Track and report on student progress, offering constructive feedback.
• Maintain regular and open communication with parents to foster a collaborative approach to student development.
• Participate and contribute to training sessions, curriculum development initiative and company events

Requirements:

• A degree or diploma in any discipline.
• Entry-level are welcome as training will be provided
• Strong subject knowledge in primary and/ or Secondary level science topics.
• Ability to explain concepts in a clear, engaging, and age-appropriate way.
• Patient, encouraging, and adaptable teaching style.

Working hours: 3 weekdays + 2 weekends

Location: Islandwide (will request for centre near your house)

Interested applicants, please click on the APPLY NOW to send in your resume.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Job Summary

You will support daily warehouse operations by receiving, checking, storing goods, picking and packing orders, maintaining stock accuracy, and ensuring a clean and safe warehouse environment.

Responsibilities

• Receive, inspect, and store incoming goods accurately to maintain inventory integrity
• Pick, pack, and prepare orders efficiently for timely delivery
• Organize stock systematically to ensure inventory accuracy and easy retrieval
• Maintain cleanliness and safety standards within the warehouse environment
• Perform manual handling tasks such as lifting and carrying goods safely
• Work independently and responsibly to complete assigned warehouse duties

Preferred competencies and qualifications

• Prior warehouse experience to enhance operational efficiency
• Able to understand and communicate in Chinese
• Basic understanding of English to support communication
• Physically fit to perform manual handling tasks

Other Information

Benefits:

• Bonus provided
• Annual leave
• Medical benefits

Working Location: Singapore (East)

Working Hours:

• Monday to Friday: 9:00 AM – 6:00 PM
• Saturday: 9:00 AM – 1:00 PM
• 5.5-day work week with 1 Saturday off per month

Salary: Negotiable

我们正在招聘一名可靠的仓库管理员，负责日常仓库运作。

工作职责：

• 接收、检查及整理入库货物

• 拣货、包装及准备出货订单

• 维护库存整齐及准确性

• 确保仓库整洁与安全

• 完成其他相关仓库工作

职位要求：

• 具备仓库管理经验者优先

• 略懂英文者优先

• 体格强健，能够胜任体力工作

• 工作认真负责，能独立完成任务

福利待遇：

• 享有花红

• 年假

• 医疗福利

工作地点： 新加坡东部

工作时间：

• 星期一至星期五：上午9点至下午6点

• 星期六：上午9点至下午1点

• 每周工作5天半

• 每个月休息一个星期六

薪金： 可商议

Key Responsibilities:

• Carry out gas meter replacement works (residential/commercial/industrial)
• Perform installation, removal, and testing of gas meters
• Conduct leak checks and ensure safe commissioning
• Carry out minor piping modifications (for LGSW-F)
• Ensure compliance with safety procedures and standards

Requirements:

• Valid LGSW-R or LGSW-F certification
• Relevant experience in gas installation or maintenance
• Ability to work outdoors and travel islandwide

Preferred:

• Experience in meter replacement projects
• Knowledge of gas safety regulations

We are seeking a hands-on and strategic Senior HR Manager to lead and manage the full spectrum of human resources for Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS). As the sole HR lead, you will be responsible for establishing, implementing, and maintaining HR policies, systems, and practices in compliance with Singapore regulations and in alignment with the parent university’s frameworks.

This role requires a self-driven, operationally strong HR leader who is equally comfortable executing day-to-day HR processes and advising leadership on people strategy.

Key Responsibilities

HR Leadership & Strategy

• Develop and implement HR strategies aligned with organizational and research objectives
• Act as a trusted advisor to senior leadership on all people-related matters
• Build and evolve HR frameworks suited to a research and academic environment

HR Operations & Governance

• Oversee the full employee lifecycle, including recruitment, onboarding, and offboarding
• Ensure compliance with Singapore employment regulations (e.g. Employment Act, CPF, MOM requirements)
• Maintain HR policies, employment contracts, and HRIS systems
• Support audits, reporting, and governance requirements

Talent Acquisition & Workforce Planning

• Partner with research leaders on hiring strategies for scientific and academic talent
• Lead end-to-end recruitment and workforce planning aligned with grant cycles and project needs
• Strengthen employer branding to attract high-quality research talent

Performance & Employee Relations

• Drive performance management processes and organizational effectiveness
• Advise on employee relations matters, including conflict resolution and disciplinary cases
• Foster a positive, inclusive, and high-performance culture

Compensation & Organisational Development

• Manage compensation and benefits frameworks, including benchmarking within Singapore
• Support ongoing review of salary structures and rewards strategies
• Drive continuous improvement in HR processes and systems

Additional Responsibilities

• Support statutory reporting and institutional surveys (e.g. MOM, NRF)
• Lead employee engagement initiatives and other HR projects as required

Requirements

• Degree in Human Resources, Business Administration, or a related field; professional HR certifications (e.g., IHRP, SHRM, CIPD) are a plus
• Minimum 8 years of HR experience, including 3–5 years in a lead or standalone HR role
• Strong knowledge of Singapore employment legislation and HR practices
• Proven experience across core HR functions, including recruitment, employee relations, and policy development
• Experience in research, academic, or knowledge-based environments is an advantage
• Demonstrated ability to build or improve HR processes and frameworks
• Strong interpersonal, communication, and stakeholder management skills
• High level of professionalism, integrity, and discretion

Reporting Line

Reports to: Managing Director

What this role offers

• Opportunity to shape and build a full HR function from the ground up
• Exposure to an international, research-intensive environment
• Direct engagement with senior leadership and global stakeholders
• High autonomy in designing HR systems and culture

IMPORTANT: *Interested candidates should submit their resume together with a cover letter outlining their qualifications and relevant experience for the position. Please also include the names and contact details of three professional referees.

Applications will be considered until the corresponding position has been filled. Only shortlisted candidates will be notified.

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data.

This position offers an opportunity to work at the forefront of biostatistics and contribute to advancing the understanding of cancer and other complex diseases.

Key Responsibilities:

• Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Lead and contribute to high-impact publications in statistical and biomedical journals.
• Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, or related fields.
• Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis.
• Proficiency in programming languages such as R, Python, or Julia.
• Excellent communication and collaborative skills.
• Strong publication records in peer-reviewed journals is an advantage.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

We regret that only shortlisted candidates will be notified.