Total 134 science job vacancies in Education / Training category in d22 jurong jurong island tuas

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

We regret to inform that only shortlisted candidates will be notified.

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.

We seek to appoint a Research Engineer II (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Work with project team in setting up and maintaining the project’s compute infrastructure, ensuring that these meet the needs of the project.
• Maintaining the project’s internal communication infrastructure to ensure that researchers across all three universities are able to work effectively together.
• Collaborate with the project team on research pertinent to the project, by
  Contributing to and developing ideas for novel methodologies and understanding of the research questions,
  Acting as a source of information and advice to other members of the research team, especially on computational matters
  Enabling large scale research implementations and managing research experiments,
  Contributing to the writing of research papers and submissions to high profile venues,
  Leading on efforts at open sourcing research code, and
  Presenting outcomes at international conferences and workshops.

The postholder will carry out any other duties that are within the scope, spirit and purpose of the job, as requested by their Reporting Officer.

Job Requirements:

Essential criteria

• Close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering).
• Possess strong publication track record in machine learning or related fields.
• Possess sufficient specialist knowledge, research skills and interests in deep learning and large language models to work within established research programmes and contribute ideas and solutions.
• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open source codebases and LLM APIs.
• Possess strong motivation and interests in developing computational infrastructure (including both software and cloud solutions) to enable large scale implementations and experimentations in large language models.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

We regret to inform that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

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.

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

Key Responsibilities:

• Conduct programming and software development for big data management.
• Design and implement machine learning models for optimizing data management.
• Conduct experiments and evaluations of the designed algorithms and systems.
• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Be able to implement algorithms efficiently.
• Motivated in doing research in data management.
• Strong skills in C/C++ programming.
• Have experience in machine learning.
• Have experience in parallel processing.
• Have strong communication and collaboration skills to work within a team.
• Independent, highly analytical, proactive and a team player

We regret that only shortlisted candidates will be notified.

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 lace 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.

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

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

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 lace 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.

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

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Bachelor's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems invites applications for the position of Research Fellow.

Key Responsibilities:

• Achieve efficient search-based motion planning in dense traffic
• Achieve efficient optimization of trajectory with safety guarantee
• Assist in the development of human traffic prediction based on sensory observations
• Test and implement new planning algorithms for robot navigation in dense traffic

Job Requirements:

• PhD in Computer Science
• Research background on motion planning and navigation
• Familiar with popular path planning techniques such as RRT, A* and kino-A*
• Familiar with robot development tools such as ROS
• Fluent English speaking and writing skill - essential for traffic predictions in research work

We regret that only shortlisted candidates will be notified.

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles
• cyber risk management, advanced threat intelligence
• secure-by-design for IoT and policy
• governance of cybersecurity

For more details, please view https://www.ntu.edu.sg/cysren.

We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent systems, addressing security challenges, and exploring information propagation theories to enhance the robustness and efficiency of these systems in real-world applications.

Key Responsibilities:

• Designing and developing multi-agent systems for large language models (LLMs).
• Investigating the security challenges and information propagation theories in multi-agent system.
• Writing high-quality research papers based on research findings.
• Developing research proposals related to multi-agent systems and their applications.

Job Requirements:

• PhD degree in Computer Science, Artificial Intelligence, or related fields.
• Strong research background in multi-agent systems and large language models.
• Expertise in security issues and information theory applied to multi-agent systems.
• Proven research experience in publishing high-quality research papers in top-tier conferences and journals.
• Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems).
• Good written and oral communication skills.
• Entry level candidates are welcome to apply.

We regret to inform that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English as required for research work
• Strong research ability
• Strong leadership quality
• Good interpersonal skills
• Ability to work well in teams

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

We are looking for an enthusiastic individual to work as a Research Fellow in computational soft matter physics using machine learning. The main research tasks include developing new numerical methods to simulate amyloid fibril nucleation using deep learning neural networks.

Key Responsibilities:

• Conduct research outlined by PI
• Develop new research methodologies
• Critically analyse research data against theory
• Provide support to research students and other research staff
• Report research progress
• Publish research findings

Job Requirements:

• PhD in Physics, Chemistry, Materials Science, or related fields
• Strong skills in numerical simulations and machine learning
• Excellent scientific writing and communication in English
• Team-oriented with good collaboration skills

We regret that only shortlisted candidates will be notified.

Position Overview

Science Centre Singapore is dedicated to the promotion of interest, learning and creativity in science & technology through imaginative and enjoyable experiences, and to contribute to the nation's development of its human resource.

We are looking for a dynamic member to join the School and Professional department as E-Instructional Designer. You will draw on unparalleled access to the multi-disciplinary expertise of the Science Centre Exhibitions and Programmes. The job will include developing online programmes for informal learning in Science/STEM, developing programmes together with the Science Centre’s team of educators and playing a key role in inspiring students locally and globally.

Essential Job Functions

As an E-Instructional Designer, you will define, evaluate, and implement overall solution components for e-learning (LMS), including student profiling, personalized content delivery and portfolio building by using various e-learning tools including SCORM, interactives, peer reviews etc as appropriate.

You will need to embrace different styles of training techniques, including e-learning, videos, tutorials, and resource guides.

You will engage Science Centre’s exhibition and education teams to find verticals in Physical Sciences, Nature Sciences, STEM, “Just in time Science” and other areas such as STEAM and STREAM.

You will find adventurous ways to excite and engage learners across digital learning, enabling technologies, social media, gamification, mobile, VR, 3D, and other modes of learning.

You will work with technical team, both with users of various roles (student/teacher/manager/admin) as well as technical stability tests ensure deployed online courses to are suitable for target audience. You will produce instructional guides for navigating and for grading and ensure the course content brings about demonstrable learning outcome.

You will process reports and feedback on various aspects of the online learning platform and its use and evaluate the effectiveness of the e-learning curriculum and resources.

Successful candidates will also be placed on ground and visitor interaction duty that will include occasional evening and weekend work.

Requirements

The candidate must possess minimum 1 to 3 years of working experience in Instructional Design and in developing and delivery of online courseware and in working with LMS environment.

He/she must have extensive experience in developing creative and engaging training/content designing and development of learning content, methodologies, and delivery methods for online and in person (onsite). He/she should have knowledge of Web Services, APIs, Relational Databases and Basic Programming and be familiar with online training curriculum and solutions. Experience in one or more of the following – Articulate 360, Rise, technical aspects or previously served as a system administrator role of Moodle LMS, Javascript, APIs, Data analytics will be an advantage.

The candidate needs to be a hands-on person, who is comfortable with both in-house development as well as working with external partners and vendors on content development and delivery. A background in Science is essential. Experience in working in Agile product development environment is preferred.

The ideal candidate must be confident and an engaging facilitator and communicator, being totally comfortable in front of both small and large audiences. He/she must possess strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done. In addition, he/she must be detail oriented, a team player with an outgoing personality and good communication, presentation, influencing and collaboration skill.

Shortlisted candidates will be notified to submit a written assignment.

Young and research intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities.

NTU Singapore invites applications for Lecturers for a course titled “Science and Technology for Humanity".

New Curriculum - Interdisciplinary Collaborative Core

NTU is reshaping its undergraduate curriculum to emphasise interdisciplinary and collaborative learning in the foundation years. This interdisciplinary and collaborative curriculum, consisting of 7 core courses, is designed to enhance students' cognitive agility, competence, and character beyond their chosen majors. These core courses are mandatory across all NTU undergraduate programmes and will be concentrated in the first two years of study, featuring mixed-class environments to foster multidisciplinary collaboration from the outset of students’ university experience. Through diverse team projects and assignments, students will engage in group learning that spans different disciplines.

The content for these core courses is developed by faculty from a range of fields to offer multiple perspectives on key issues, aligning with NTU's graduate attributes. Each course emphasises key transferable skills and addresses global challenges. A flipped classroom approach is used, allowing students to learn the materials before class, thereby maximising in-class deep learning, collaborative discussions and group activities.

"Science and Technology for Humanity" (ST4H), one of the core courses, is inviting candidates to contribute to NTU’s Interdisciplinary Collaborative Core (ICC) curriculum. Required for all undergraduates, ST4H explores the social, economic, and political impacts of science and technology, encouraging students to address societal issues through an interdisciplinary lens that integrates both STEM and non-STEM perspectives.

This role is pivotal to the Interdisciplinary Collaborative Core (ICC) Office’s mission to implement an interdisciplinary and collaborative curriculum aimed at cultivating future-ready graduates.

Key responsibilities include:

• Facilitating and conducting all teaching assignments, both face-to-face and virtual delivery
• Developing an instructional plan (known as a course outline or syllabus) for the course(s) they teach and ensuring that it meets university standards
• Developing, designing, and continuously improving lesson plans and class activities, assignment tasks and rubrics to foster student learning, stimulate class discussions, and ensure student engagement
• Supporting course administration such as course evaluation, online course materials, attendance records, academic counselling on student progress
• Conducting assessments, marking and grade entries, feedback to students, student consultations, non-academic matters etc.
• Developing course materials and learning resources for course delivery and support students’ learning
• Providing regular course and student progress statistics for reporting and strategic decision making
• Taking on course co-coordination responsibility, and working with others in the course as a team to ensure a positive and supportive learning and working environment for all—students, staff and faculty
• Demonstrating values and principles of professional conduct in all endeavours
• Any other assigned duties

Candidates with the following qualifications are encouraged to apply:

· MA or PhD training across STEM and/or humanities and social science fields

· Training relevant to one of the course topics (e.g., the future of work, Al and robotics, technology’s role in rebalancing power, transformations for health and wellbeing, life beyond humanity)

· Teaching and mentoring experience and experience with team teaching is preferred

· Interest and/or proficiency in technology-enhanced learning (e.g., developing online learning activities and assessments, creating lectures to be streamed online)

· Ability to work in a team

· A demonstrated potential for scholarship is an advantage

Applicants are invited to submit their applications (cover letter, CV, research and teaching statements, and citation report, where applicable) through the NTU career portal

https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/ICC-Lecturer--Science-and-Technology-for-Humanity-_R00019210.

The closing date for applications is 31 December 2024.

If you have any questions about this position, please write to:

ICC Lecturer Search Committee
Email: [email protected]

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

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 #6 for 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.

We are looking for a highly motivated candidate to join our team as a Research Associate.

Key Responsibilities:

• Develop LLM-based techniques for spatiotemporal data mining
• Collaborate with fellow researchers to design advanced algorithms and theories.
• Publish academic papers or patents.
• Guide and support associated students.
• Participate in and contribute to pertinent meetings
• Design, implement and test AI models for the project.
• Write reports and papers.

Job Requirements:

• Master degree in computer science or related fields of study
• Solid knowledge in graph algorithms and machine learning models
• Practical experience of dealing with spatiotemporal data
• Good communication and presentation (oral and written) skills (in English)

We regret that only shortlisted candidates will be notified.

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.

We are looking for a highly motivated candidate to join our team as a Research Associate.

The Research Associate will work on a funded interdisciplinary grant at the intersection of graph data management, cognitive psychology, and data visualization to support the University’s research in data science. The project seeks to develop a novel data-driven framework for user-friendly visualization of property graph schemas that is informed by theories from cognitive psychology. The successful candidate will be responsible for developing it.

Key Responsibilities:

• Plan and develop effective abstraction and algorithms for visualisation of property graph schema.
• Assist in development of user-friendly and interactive interface for visualisation of property graphs.
• Liaise with various stakeholders.
• Contribute to the production of research reports.
• Contribute to the dissemination of research findings.
• Perform other tasks as required by the Principal Investigators.

Job Requirements:

• Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Strong analytical and programming skills.
• Strong background in algorithms and data management.
• Experience using programming language such as JavaScript, TypeScript and Python
• Excellent organizational skills and able to work within given deadlines.
• Self-directed learner who effectively picks up relevant skills as needed.
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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

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 #6 for 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.

Key Responsibilities:

• To conduct research into the WebAssembly programming language.
• To produce publications in top conferences and journals.
• To offer assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Preferably have experience in interactive theorem proving and/or Web programming.
• Capable of handling multiple tasks across projects and research activities.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Good knowledge in laboratory works as well as engineering of prototype system.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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

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 #6 for 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.

Key Responsibilities:

• Responsible for maintaining git repositories
• Develop cloud systems
• Do experiments to measure and evaluate performance of cloud systems
• Read and write related academic papers

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Preferably with programming skills of Python, Go and C++
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Good knowledge in laboratory works as well as engineering of prototype system.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

For more details, please view School of Civil and Environmental Engineering | NTU Singapore.

We are looking for a Research Fellow to support the research for the project titled “Development of Durable, Jointless and Reduced Embodied Carbon ConFlexPave for Port Use”. The role will focus on carrying out research according to the proposed milestones.

Key Responsibilities:

• Work on a project to conduct the research on development of durable, jointless and reduced embodied carbon ConFlexPave for port use.

Job Requirements:

• PhD degree in Engineering, Material Science or Chemistry or related field
• Previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).
• Additional experience in carbon sequestration in cement-based material would be preferable, but not required.
• Strong academic standing with several publications in reputable journals
• Strong references from previous supervisors

We regret to inform that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The research involves a study and development of a learning and optimization platform powered by AI, Machine Learning and data analytics for applications.

Key Responsibilities:

• Conduct research and development related to AI and Computer Science
• Collect relevant dataset, and conduct experiments to gain insights on project-related research questions
• Presenting research results to collaborators at scientific meetings or producing reports/ publications

Job Requirements:

• PhD in Computer Science or related disciplines
• Good spoken and written English
• Strong research ability
• Strong leadership quality
• Good interpersonal skills

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Associate.

The Research Associate will take on a significant role in development of prototype optics/imaging system prototypes, under the SERI-NTU ADVANCED OCULAR ENGINEERING (STANCE) Program.

Key Responsibilities:

• Developing machine learning and deep learning models to address clinical challenges in ophthalmology.
• Conducting research on medical image processing and multimodal imaging using clinical systems and novel prototypes.
• Collaborating with NTU and SNEC/SERI researchers to align with research strategy and goals.
• Managing research projects and supervising students and research assistants.
• Publishing research outcomes in top-tier journals and presenting findings at academic conferences.
• Drafting reports and contributing to research management under the guidance of Principal Investigators.
• Ensuring compliance with health and safety protocols.

Job Requirements:

• Master’s degree in Computer Science, Computer Engineering, Electrical or Information Engineering, Biomedical Engineering, or related disciplines.
• Experience in Optical Coherence Tomography (OCT), software development, and OCT signal analysis is an advantage.
• Proficiency in programming and image processing tools (e.g., LabVIEW, MATLAB, Python).
• Ability to work independently and in a collaborative, cross-functional research team.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated research fellow in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Lead research projects and cross-functional teams, including research fellows, engineers and other stakeholders;
• Supervise junior graduate students;
• Write technical reports, including papers, patents and technical disclosures;
• Work closely with team members/engineers and assist in developing new features;
• Ensure responsiveness of applications;
• Support expansion of research output through increased paper publication;
• Diagnose the issue and resolving it on demand.

Job Requirements:

• PhD Degree in Electrical Engineering, Information System, Computer Science, Computer Engineering or a related discipline;
• At least 5 years’ work experience in relevant areas, industrial leadership experience highly preferred;
• Proven ability to translate theoretical insights into practical solutions;
• Proficiency in Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Excellent verbal communication skills and good problem solving skills;
• Strong attention to detail;
• Fluency in both spoken and written English - for research purposes

We regret that only shortlisted candidates will be notified.