357 Programming Languages jobs in Singapore

A Coding Educator is needed to develop and teach coding lessons for students aged 7 to 12. The ideal candidate will play a pivotal role in guiding and nurturing students through effective teaching methods.

Roles & Responsibilities

• Prepare and deliver lessons for students aged from 5 to 12
• Planning and developing of teaching materials
• Create and maintain a safe and conducive learning environment for students
• Establish and maintain good relationships with students and parents
• Stay up to date with the latest EdTech developments
• Other duties as assigned

Requirements

• Diploma / Bachelor's Degree in any discipline (preferably in computer science, engineering, mathematics or science). Fresh grads are welcome to apply
• Eager to learn and experiment with new ideas
• Possesses excellent communication skills and loves teaching children
• Meticulous and able to work independently
• Good interpersonal skills and good team player
• Prior teaching experience, be it private tutoring, or in a group setting
• Knowledge of Scratch Junior, Scratch, Microbit (in Scratch and Makecode Platforms) and Python is a plus
• Candidates without any experience who meet the above criteria and possess keen interest are also welcome to apply

Benefits

• Health insurance

Work Schedule and Location

4 weekdays + 1 weekend, Hybrid (Mixture of In-person and remote)

Tell employers what skills you have

• Excellent Communication Skills
• Engineering Mathematics
• Teaching
• Interpersonal Skills
• Artificial Intelligence
• Scratch
• Python
• Teaching Experience
• Teaching Children
• Robotics
• Team Player
• Able To Work Independently
• Tutoring

Preface: Are you passionate about building high-performance backend systems that power next-generation robotics? Apply now to be a key player in transforming the future of human-machine interaction

At Performance Rotors, we're developing the next generation of aerial robotic systems that work with humans, not just for them. Our mission is to redefine human-robot teaming through intelligent software and purposeful design. We're looking for innovative and driven interns to work on backend systems, together with our multidisciplinary team that builds the software that powers autonomous and semi-autonomous systems in real-world environments.

What you'll do

- Learn about backend systems that powers aerial robotics

- Learn about scaling software to multiple robots

- Work on backend modules which integrates with the backend system that the company has

Qualifications

- Basic understanding of Golang

- Basic understanding of Flutter

- Familiarity with REST API, WebSockets or gRPC

- Strong problem solving skills and eager to learn new technologies

Additional skills (if have)

- Experience with Docker and CI/CD tools

- Familiarity with live video streaming protocols such as RTMP, WebRTC, FTL

- Familiarity with Android app development

Research Associate (Computer Science ) page is loadedResearch Associate (Computer Science ) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00021154

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims to drive technological breakthroughs that enhance the functionality, efficiency, and security of hardware and embedded systems. It aims to lead in the creation of hardware and embedded system technologies that enable smarter, more secure, and highly interconnected environments. At present, focus groups at HESL perform R&D in the following key areas: Design Methodologies, Embedded Software, Reconfigurable Computing, Vision Enabled Sensing, Cyber-Physical Systems, and Secure Embedded Systems.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems.

• Provide implementation and development support to the research team for translation of research ideas into concrete lab-scale demonstrators on robotic platforms.

• Assist in the procurement and management of technical equipment for the project.

• Participate in the process of writing and publishing research papers in top-tier conferences and journals.

• Support the research team in documentation and reporting activities for the grant agency.

Job Requirements:

• Preferably Master in Computer Science or related field.

• Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic platforms).

• Interpersonal skills (e.g. ability to work independently as well as in teams, develop solutions under strict timelines, meticulous and eye for details, excellent organizational & time management skills)

• Desirable: Research experience in deployment challenges for machine learning pipelines in resource-constrained systems.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The National University of Singapore invites applications for the position of Research Fellow, Research Associate, or 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 work closely with Principal Investigator Prof. Tulika Mitra on a recently funded Green AI project. This ambitious research initiative targets energy-efficient AI inference, co-optimizing across the full stack - from algorithms to architecture. The goal is to rethink data center computation and communication systems to make AI workloads significantly more sustainable. The ideal candidate will have experience in computing systems, such as ML systems, computer architecture, FPGA/GPU/accelerator design, compilers, or operating systems. We are looking for individuals who are passionate about systems-level innovation, eager to work across abstraction layers, and motivated to push the frontiers of sustainable and scalable AI.

Only shortlisted candidates will be notified.

• PhD degree in a relevant area for research fellow and research associate position

• Bachelors or Masters degree in a relevant area for research assistant position

• Experience in research

One research assistant is available with flexible start time in the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU) is available. The appointment is normally for 1 year with a provision for further extensions subject to good performance and availability of research funding.

Key responsibilities:

• Conduct research in operations research, maritime decarbonisation, data analysis, methodology development and applications
• Coordinate the preparation of project reports and deliverables
• Publish findings in top peer-reviewed journals and conference proceedings
• Collaborate with other researchers on project discussions and joint deliverables
• Support the preparation of research proposals and grant applications

Job Requirements:

• Must hold a Bachelor degree in transport engineering, maritime transport and management, computer science, or a related field from a good university;
• Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages;
• A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization;
• Proficient in written and spoken English - essential for data analysis and communication with stakeholders
• Experience in proposal writing and funding application is a plus.

We regret that only shortlisted candidates will be notified.

One research Associate in the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU) is available. The appointment is normally for 1 year with a provision for further extensions subject to good performance and availability of research funding.

Key Responsibilities:

• Performing literature review and background study on AI
• Develop algorithms and system designs that can optimize training and inference processes
• Conduct experiments to compare with comprehensive baselines and validate results

Job Requirements:

• Possess Masters in Computer Science, or a related discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining
• Strong publication records in reputable journals/conferences
• Excellent programming skills in e.g., Python, Matlab, C++, etc
• Good interpersonal skills
• Excellent teamwork awareness
• Good communication and writing in English - essential for data analysis and communication with stakeholders

We regret that only shortlisted candidates will be notified.

We are seeking to appoint a research fellow who will contribute to NTU's mission of advancing cutting-edge research in artificial intelligence applications for healthcare and human-centered computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions.

Key Responsibilities:

• Conduct advanced research in the areas of artificial intelligence for healthcare applications, medical image analysis, and human-centered computing systems, with a focus on cross-domain transfer learning and multi-modal data integration.
• Formulate novel research methodologies in computer vision, deep learning architectures, and neuro-fuzzy systems to contribute to the development of robust AI frameworks for medical diagnosis and treatment support.
• Collaborate with academic and industry partners, including potential joint projects with healthcare institutions such as the Chinese Academy of Sciences medical centers, Cancer Hospital affiliates, and international medical universities, to drive interdisciplinary research outcomes in AI4Healthcare.
• Prepare high-quality research publications and contribute to proposal writing for competitive national and international research grants.

Job Requirements:

• A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
• Proven research track record demonstrated by publications in top-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers.
• Demonstrated expertise in deep learning architectures, computer vision, and medical image analysis, with strength in cross-domain transfer learning, attention mechanisms, and multi-modal AI systems.
• Experience in healthcare AI applications, medical imaging across multiple modalities (CT, MRI, X-ray, pathological slides).
• Excellent programming, analytical, and research communication skills, with a track record of contributing to competitive research grant proposals.

We regret that only shortlisted candidates will be notified.

We are seeking to appoint a Research Fellow to advance NTU’s mission of pioneering cutting-edge research in blockchain and smart contract security. The successful candidate will have a strong background in blockchain systems, decentralized protocols, and smart contract vulnerability analysis, with demonstrated experience in system security and protocol robustness. Prior collaborations with leading institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and decentralized applications.

Key Responsibilities:

• Conduct advanced research in the areas of blockchain security, smart contract analysis, and decentralized system resilience, with a focus on emerging threats in DeFi, cross-chain interoperability, and blockchain-based infrastructures.
• Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain ecosystems.
• Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary research outcomes.
• Prepare high-quality research publications and contribute to proposal writing for competitive national and international research grants.
• Support the supervision and mentorship of postgraduate students and junior researchers involved in security-related projects.
• Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D.

Job Requirements:

• A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline
• Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P, Usenix Security, NDSS, CCS, ICSE, ASE, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems.
• Demonstrated expertise in large language models (LLMs) and their application to software analysis, automated program repair, and security reasoning.
• Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior analysis and resilience of decentralized infrastructures and blockchain-based applications

We regret that only shortlisted candidates will be notified.