School of Art, Design and Media is looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Develop and implement design concepts for AI aided production under the PI’s supervision.
• Cover early development through character design, environment and prop design, support development of color scripts and storyboarding.
• Autonomously develop design, animation and AI solutions in the framework of the wider guidelines given by PI.

Job Requirements:

• Bachelor of Arts in Animation, Visual Communication, Game Design, or related field.
• Knowledge of artificial intelligence concepts and text prompting for generative AI is preferred, particularly in relation to Stable Diffusion/ LoRA applications.
• Strong drawing skills and design knowledge required.

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

Institute For Digital Molecular Analytics & Science (IDMxS) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education (Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU, IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis to link the biomolecular world of life with the networked world of technology.

IDMxS is looking for a highly experienced and motivated individual to join us as a Research Fellow on further develop translational potential of IDMxS technologies within the institute.

Key Responsibilities:

• Drive assay development for digital detection technologies, proof-of-concept and participate in prototype design and testing
• Provide industry insights in assay development roadmap
• Execute biochemistry/molecular biology experiments and perform data analysis
• Ensure effective and efficient communications among group members
• Performs market and competitive analysis when needed for assessment of commercialization potential
• Ensure accurate and systematic documentation of laboratory work
• Draft scientific publications, present research findings internally and externally
• Comply with all laboratory safety standards and guidelines
• Assist in lab management matters when necessary
• Guide junior members of the team

Job Requirements:

• Masters/PhD in life science, biotechnology, microbiology, or other related disciplines
• Minimum 6 years of industry experience (for Masters holders)
• Experience as technical lead in product development is highly preferable
• Additional experience in product commercialization process is highly preferable
• Experienced in digital PCR / quantitative PCR assay development is desired
• Familiar with lab operation, lab safety and management matters
• Strong communication skills and ability to write research reports, publish and critically review publications
• Experience with one or more of the following analytical technologies, including fluorescence microscopy, spectroscopy, cell assays, molecular biology techniques, bacterial culture, etc

We regret that only shortlisted candidates will be notified.

The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary School that aims to be a world leader in environmental research focusing on environmental challenges in Asia. ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and sustainability.

The research laboratory on Resilient and Inclusive cities at ASE addresses important challenges related to rapid urbanization and climate change in Asia-Pacific. It focuses on understanding and modelling the benefits of nature-based solutions – e.g. urban parks or peri-urban forests, road trees, green roofs – in the region to inform policy and practice and create more resilient and inclusive cities. The program builds upon an interdisciplinary approach, combining geospatial modeling of urban environments and empirical studies of urban practice.

The laboratory is currently looking for a Research Associate to lead research on scenario exploration and modelling of nature-based solutions for Southeast Asian rapidly growing cities.

The project will be conducted in at least one case study in Indonesia and may involve extending current research to other geographies.

Key Responsibilities:

• Assist with the projects by applying and refining a scenario generation framework for co-designing nature-positive urban futures, and estimating the benefits of nature-based solutions for a subset of nature-positive urban scenarios
• Contribute to ongoing projects investigating the quantity and quality of green spaces in Southeast Asian rapidly growing cities

Job Requirements:

• Master degree in Environmental Sciences, Landscape & urban planning or equivalent field
• Experience in participatory processes or co-design approaches in urban or regional planning
• Experience or strong interest in nature-based solutions in urban environments
• Good command of GIS software and geospatial modelling software (e.g., R, InVEST)
• Strong record of publications (commensurate with research experience)
• Work experience in Southeast Asia is preferred
• Experience with participatory approaches or scenario visioning, and strong geospatial analysis skills

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

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus on technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

Responsibilities:

• Responsible for leading and managing a large-scale grant-funded programme across various IHL/RI* collaborators and industry partnerships (*Institute of Higher Learning / Research Institute)
• Programme manager will be leading the programme proposal to secure funding and coordinate cross-project activities to accomplish strategic objectives by overseeing multiple project activities across various research institutes
• Organise and lead programme reviews with/across funding agencies, strategic oversight committee and senior management
• Build confidence within internal management and external stakeholders with regular programme reporting and establishing clear communication channels
• Manage a small team of project managers to ensure successful delivery of projects scope and targets via managing project risks, quality, delivery, scope, schedule, and budget.
• Oversight of the full life cycle of R&D projects and its product delivery – planning, organizing, executing and evaluating from conception to completion.
• Manage and implement project/programme changes and interventions to achieve project deliverables and mitigate risk.

JOB REQUIREMENTS

• Bachelor or Masters in any engineering / project management related discipline
• At least 5 year(s) of working experience in product development or research project would be preferable
• PMP certifications or equivalent will be advantageous
• Good level of understanding of technical/engineering processes in order to work effectively with project managers and teams throughout the project development cycle.
• Strong business acumen, driven to deliver customer requirements and project deadlines
• Outstanding programme/project management capabilities; i.e. planning, risk management, status reporting, budget tracking, benefits analysis, stakeholder management, resource management
• Proven track record of executing multiple successful programmes/projects
• A leader-cum-team player technically motivated to solve problems, innovate and deliver to internal and external customers
• Strong communicator with excellent interpersonal skills

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

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 Assistant.

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A Bachelor degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A PhD degree or Master degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

Nanyang Technological University (NTU) Singapore seeks to appoint an Associate Professor in Environmental Data Science to be held jointly in both the Asian School of the Environment (ASE) and the newly established College of Computing and Data Science (CCDS). We encourage applications from researchers who leverage innovative data science methodologies to address pressing environmental challenges and advance our understanding of natural systems. We are particularly keen to recruit applicants whose research includes quantitative analysis of geoscience, climatologically or environmentally relevant observational data. Examples of areas of interest include but are not limited to environmental geochemistry; geophysics: natural hazards; atmosphere, oceans and climate science: remote sensing; ecological modelling; environmental sustainability; and geospatial analysis. The successful candidate will be expected to build and contribute to interdisciplinary research, teaching and leadership within our institution's Environmental Earth System Science and AI programmes.

The candidate is expected to lead and conduct high-impact research at the intersection of environmental and Earth system science and data science. We seek candidates who can develop and implement novel data science methodologies, which might include AI and machine learning, deep learning, and data analytics, to analyse environmental and/or Earth observational datasets, model complex environmental systems, and extract actionable insights.

The faculty member will be expected to teach undergraduate and graduate courses in environment and/or Earth system science, data science and related disciplines, incorporating innovative teaching methods and real-world applications of data science in environmental contexts and supervise graduate students and postdoctoral researchers, providing mentorship and guidance in research design, interpretation, and professional development.

Applicants must have a Ph.D. or equivalent degree in Earth system science, Environmental science, Computer science, Mathematics, Theoretical Physics or a related field and demonstrated expertise in areas such as artificial intelligence, machine learning, and data science, with a strong track record of research publications and external funding. Experience in applying data sciences techniques to address environmental and/or Earth science challenges, such as remote sensing data analysis, climate modeling, or environmental monitoring would be anticipated.

Both ASE and CCDS are diverse, interdisciplinary units that integrates geoscience, environment, ecology, and computational sciences in order to examine environmental challenges in Asia and globally. Researchers can access national computing facilities such as the National Supercomputing Centre (NSCC) Singapore and potentially align with AI Singapore (https://aisingapore.org/).

Both ASE and CCDS seek 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 and family responsibilities, or disability.

Emoluments and General Terms & Conditions of Service

The commencing salary will depend on the candidate's qualifications, experience and the level of appointment offered.

Application Procedure

Candidates are invited to submit their application packages (cover letter, full CV, research and teaching statements, names and contact details of three referees) through the NTU Career Portal: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Associate-Professor--Tenure-Track--Tenured--in-Environmental-Data-Science_R00018441 or by clicking the 'APPLY' button. Applications will be reviewed and shortlisted on an ongoing basis until the position is filled. Only shortlisted candidates will be notified.

All applications and materials submitted will be held in strict confidence.

For further enquiries, please contact the Search Committee Chair, Prof. Adam Switzer ([email protected]).

A Research Fellow position is currently available in the Nanyang Environment & Water Research Institute (NEWRI).

NTU seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Designing and synthesizing thin-film composite (TFC) hollow fiber membranes
• Processing, modifying, and incorporating COF materials into TFC hollow fiber membranes
• Characterizing COF materials and hollow fiber membranes
• Evaluating CO2 adsorption and separation performances

Job Requirements:

• PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
• Ability to work independently and as part of a team with strong initiatives
• Good communication, interpersonal and oral presentation skills.
• Good synthetic experimental skills for nanomaterials immobilization and hollow fiber membrane fabrication and modification
• Good knowledge of membrane-based gas separation process
• Good writing skills for proposal and report writing and publication in good academic journals

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

Candidate appying for this position shall assist in research and development AI-based robotics solution capable of autonomous decision-making and tasks execution.

Roles and Responsibilities

Assist in developing AI and deep learning systems for automated robot toolpath

generation and perception guided robotic applications.

• Analyse requirements
• Gathering and analyze data
• Define core features
• UI/UX design
• Develop, train and improve AI foundation model
• Develop and implement deployment strategy

Job Requirements

-Relevant Engineering degree with focus on software development

-Strong knowledge in programming languages

-Experience with machine learning framework

-Deep understand of robot manipulation and kinematics

-Strong problem-solving skill and analytical thinking

-Effective communication and presentation skill

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ANGEL Corp Lab is seeking to hire a Research Engineer to collaborate with the Principal Investigator (PI) and team to design and implement recommendation systems focused on sustainability.

Key Responsibilities:

• Collaborate closely with the Principal Investigator (PI) and team members to design and implement recommendation systems.
• Conduct detailed mathematical analyses and experiments to model user behaviors and preferences in the context of sustainability.
• Assist in the development and enhancement of frameworks and methodologies that support green recommendation practices.

Job Requirements:

• Master’s degree or Bachelor’s Degree in Mathematics or a closely related field.
• Ability to analyze complex and noisy data sets using advanced mathematical techniques to extract meaningful insights.
• Demonstrated experience with Large Language Models (LLM) and machine learning, with a focus on sustainability applications.
• Proficiency in programming languages and machine learning frameworks, particularly Python and PyTorch.
• Experience or previous research in the areas of Natural Language Processing (NLP), recommendation systems, or related fields is highly desirable.
• Excellent communication and written skills in English.

We regret that only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, the climate finance Cluster will collect data that measures and price climate risk exposures in financial markets, conduct preliminary data analysis and skillfully manage the projects for documentation purposes; all content is summarised here.

The Research Associate will be based in the Centre for Sustainable Finance Innovation (CSFI) of Nanyang Business School and will be responsible for developing preliminary data analysis to measure and price risks arising from climate change suitable for each company so that climate risk can be managed by companies and hedged by investors.

The Research Associate's activities are designed to provide a nuanced understanding of how climate change is discussed and documented within the corporate world. By bridging technology and environmental science, the role aims to enhance the strategic responses to climate risks, tailor interventions, and ultimately contribute to the sustainability goals of the region. This position not only demands technical expertise in data science and computational linguistics but also a keen understanding of climate science and strong collaborative abilities to work effectively in a diverse and multi-disciplinary environment.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports.
• Construct a dataset that can produce a climate risk fact sheet containing essential information about various climate risk exposure (e.g., drought, flooding) of a region or a city.
• Handle data management and statistical analyses.
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries.

Job Requirements:

• Master's Degree in data analytics or a closely related field.
• Ability to work independently to develop research in challenging environments.
• Collaborative, with an interest in working with other researchers and scientists (this is a large team project) to produce high-quality and impactful research.
• Interest in climate, green, or sustainable finance.
• Excellent knowledge of computational linguistic tools and machine-learning techniques.
• Experience with data analysis with Python and STATA.
• Excellent oral and written communication skills in English which is essential to conduct research.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

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

Job Description:

• Support mechanical design, dynamic modeling, and structural simulations of mechanical systems.
• Contribute to software development for motion controllers using ROS/ROS2.
• Support development of front-end and/or back-end software for UI interfaces using the React framework.
• Participate in project implementation trials related to mobile robot fleet management.
• Support engagement in technical project planning and execution for development projects with industry partners.
• Prepare technical write-ups and presentations of project work.

Requirements:

• Strong knowledge of mechanical systems, particularly in the automotive domain.
• Proficiency in dynamic modeling and structural simulations.
• Experienced with ROS/ROS2 for motion controller development.
• Exposed to front-end and/or back-end software development, particularly using React.
• Understanding the use-cases of mobile robot fleet management.
• Exposed to NoSQL/SQL database management.
• Adequate technical project planning and execution skills.
• Able to perform basic technical writing and presentation abilities.

Minimum Qualifications/Specialization:

• Diploma in mechanical engineering, Mechatronics, Robotics, Computer Science, or a related field.
• Specialization in mechanical systems design and simulation, particularly within the automotive domain.
• Relevant coursework or experience in robotics, control systems, software development (with a focus on ROS/ROS2), and UI/UX design.
• Experience or training in software engineering best practices.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

• Support mechanical design, dynamic modeling, and structural simulations of mechanical systems.
• Contribute to software development for motion controllers using ROS/ROS2.
• Support development of front-end and/or back-end software for UI interfaces using the React framework.
• Participate in project implementation trials related to mobile robot fleet management.
• Support engagement in technical project planning and execution for development projects with industry partners.
• Prepare technical write-ups and presentations of project work.

Requirements:

• Strong knowledge of mechanical systems, particularly in the automotive domain.
• Proficiency in dynamic modeling and structural simulations.
• Experienced with ROS/ROS2 for motion controller development.
• Exposed to front-end and/or back-end software development, particularly using React.
• Understanding the use-cases of mobile robot fleet management.
• Exposed to NoSQL/SQL database management.
• Adequate technical project planning and execution skills.
• Able to perform basic technical writing and presentation abilities.

Minimum Qualifications/Specialization:

• Diploma in mechanical engineering, Mechatronics, Robotics, Computer Science, or a related field.
• At least 3 years of experience
• Specialization in mechanical systems design and simulation, particularly within the automotive domain.
• Relevant coursework or experience in robotics, control systems, software development (with a focus on ROS/ROS2), and UI/UX design.
• Experience or training in software engineering best practices.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The National Institute of Education (Nanyang Technological University, Singapore) invite suitable applications for the position of Research Associate on a one-year contract (with possibilities of extension) at the Office of Education Research.

Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review

Project Information: The main objective of this project is to synthesize work on interventions that have been designed to level-up students who face difficulties in literacy, numeracy, and well-being from Primary to Secondary levels, including those from disadvantaged backgrounds or with special needs. By means of a PRISMA framework, we will conduct a systematic literature search and screening to identify eligible articles for each topic. A preliminary literature search will be conducted to estimate the amount of literature on each topic. As approach to synthesize the literature, we will use an umbrella review for each topic, i.e., focusing on meta-synthesis, synthesis, and review literature. The findings will allow the identification of effective interventions for each topic in facing challenges throughout the students’ school period.

Requirements:

Academic qualification:

• Master’s degree in Education and/or Psychology or similar areas

Work experience:

• Prior experience conducting systematic literature reviews
• Prior experience conducting qualitative and quantitative analysis
• Prior experience conducting meta-analysis
• Prior experience disseminating research findings targeting the general public and academic audiences
  

Desirable interests, skills, and attributes:

• Passion for teaching and learning
• Interest in effective teaching in school settings
• Have good communication and organizational skills
• Have good interpersonal skills
• Be a good team-player, proactive, and able to work independently

Responsibilities:

• To conduct systematic literature reviews (summarizing, coding, and organizing relevant literature).
• To compute different statistical analyses for the findings obtained.
• To contribute to research translation and dissemination of findings targeting the general public and academic audiences.
• To perform other tasks as required by the Principal Investigators.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00018408

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research---NIE-_R00018408)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The School of Materials Science and Engineering (MSE) at NTU is seeking a highly skilled and motivated research staff to join our team. We are looking for a researcher with experience in working with carbon and glass fiber composite materials, epoxies, fire resistance and/or mechanical behavior of composites.

Key Responsibilities:

• Work within the framework of the project to achieve and go beyond the project objectives.
• The candidate’s primary responsibility is to understand and improve the thermal insulation characteristics of epoxy based composites that are used for construction applications.
• The candidate is expected to interact and closely work within a multi-disciplinary and multi-cultural team.
• Expected to display a very high degree of professional ethics
• Understand the safety issues while working with composites and fire protection materials.

Job Requirements:

• Minimally Bachelor’s degree in relevant engineering or science disciplines is required
• Applicants with PhD preferred.
• The candidate is expected to be an expert in the handling/processing of epoxy composites and/or fire retardancy.
• The candidate is required to understand insulation mechanisms, and work towards project goals within the timeframe of the project.
• Relevant experience (flame retardant materials, manufacturing of epoxy composites, testing of fire resistance, etc.) is significant advantage.
• Flame retardancy background is considered as a huge positive.

We regret that only shortlisted candidates will be notified.

College of Engineering (CoE) is looking for a candidate to join them as a Research Fellow.

The NTU Centre in Computational Technologies for Finance is a newly created pan-university centre in NTU to coordinate and support NTU’s initiatives, activities and programs in Blockchain. The centre is co-managed by CoE and NBS.

Key Responsibilities:

• Conduct fundamental and applied blockchain research with the focus on blockchain with sharding to reduce complexity and resource consumption
• Develop generative and advanced AI algorithms to optimize blockchain and data management platform for industrial Internet of Things (IIoT)
• Publish findings in top-tier journals such as IEEE Transactions on Mobile Computing and top-tier conferences such as IEEE INFOCOM
• Support major research grant proposals for Blockchain initiatives

Job Requirements:

• PhD in Computer Science/Engineering, Mathematics, Information Systems, or related fields
• Strong publication record in top journals and conferences
• Demonstrate high proficiency of communications skill

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

The School of Civil and Environmental Engineering is seeking a Research Fellow with a strong understanding of unsaturated soil mechanics and extensive laboratory experience.

Key Responsibilities

• Conduct soil testing and field monitoring using advanced instrumentation to assess tree-root stability
• Constructing soil-water characteristic curves
• Perform triaxial test for unsaturated soil, soil-water characteristic experiments, field instrumentation installation, and results analysis
• Fieldwork includes sensor deployment, scheduled maintenance, and site supervision.

Job Requirements

• PhD degree in Civil Engineering specializing in Geotechnics
• Strong understanding of unsaturated soil mechanics
• Experience with lab testing and sensors
• Proficiency in electronics, particularly with soil testing sensors, is also required.
• Comfortable with experimental testing and instrumentation.
• Strong communication and writing skills are essential for effective teamwork.
• Able to work independently and contribute to team efforts.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Science of Learning in Education Centre, Office of Education Research.

Project Title: The NIE NTU A*STAR Partnership Project

Project Introduction:

The NIE, NTU (School of Computer Science and Engineering) and A*STAR partnership was launched on 1 September 2022. NIE is leading the existing project and will participate in research project management and submissions of joint research grants.

Pivoting the strategic plan for Science of Learning to deepen research partnerships towards the classroom of the future, the NIE NTU A*STAR Partnership builds research capacity by creating opportunities for collaboration, knowledge sharing, and skills development.

Requirements

• At least a bachelor’s degree in social sciences, psychology, computer science, neurological science or equivalent from a reputable university
• Interest in educational research

Responsibilities

• Manage and administratively support multiple joint projects including note taking
• Organise regular project progress meetings with internal and external collaborators
• Coordinate new project proposals towards joint grant submissions
• Update NIE people manager on work progress on a regular basis
• Other tasks assigned including literature review &/or data collection

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00018346

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Science-of-Learning-in-Education-Centre--Office-of-Education-Research---NIE-_R00018346)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Key Responsibilities:

• Conduct comprehensive market research to identify industry trends, customer preferences, and competitive positioning.
• Collect and analyze data from various sources, including surveys, industry reports, and market databases.
• Develop and manage market models, forecasts, and segmentation analyses.
• Prepare detailed reports, presentations, and dashboards to communicate findings and recommendations effectively.
• Collaborate with internal teams to understand their research needs and provide data-driven insights.
• Monitor market and industry developments, including emerging trends and potential opportunities or threats.
• Evaluate and enhance research methodologies to improve the accuracy and relevance of insights.

Qualifications:

• Bachelor’s degree in Business, Economics, Marketing, Statistics, or a related field; advanced degree is a plus.
• Proven experience in market research or a related analytical role.
• Strong analytical skills with proficiency in data analysis tools and software (e.g., Excel, SPSS, Tableau).
• Excellent written and verbal communication skills, with the ability to present complex data in a clear and concise manner.
• Detail-oriented with strong organizational skills and the ability to manage multiple projects simultaneously.
• Familiarity with market research methodologies and techniques, including qualitative and quantitative analysis.
• Be able to starting work in Oct 2024 or earlier.
• Singaporeans and permanent residents only.

The National Institute of Education invites suitable applications for the position of Research Fellow on a 12-month contract at the Office of Graduate Studies and Professional Learning.

Project Title: Kinetic Strategy in Resistance Training Exercises

Project Introduction: Resistance training is an effective exercise modality for improving health, enhancing sports performance, and facilitating rehabilitation. This project will apply biomechanical techniques to examine the coordination between multiple joints in the lower extremities during selected resistant training exercises.

Requirements:

• A PhD degree in biomechanics, strength and conditioning or related scientific discipline
• Minimum 3 years of research experience on exercise-related areas
• Good understanding of the nature and risk associated with moderate-to-high intensity exercise
• Good knowledge of kinetics and kinematics of human movements
• Ability to collect quantitative research data using biomechanical equipment such as force platforms and 3D motion capture systems
• Ability to independently supervise exercise intervention using resistance training equipment
• Ability to write codes (e.g. MATLAB, Python) for data processing
• Good knowledge in statistical analysis and interpretation
• Good research track record in academic publications and conference presentations related to biomechanics research
• Excellent organisation and project management skills

Responsibilities:

• Work in a team to recruit participants, schedule and conduct experiments in the NIE Sports Biomechanics Laboratory
• Supervise resistance training exercise interventions
• Perform biomechanical analysis of exercise movements using specialised software and customised codes
• Handle research data management and administrative tasks associated with the project
• Assist with ethics application, annual review and reporting
• Run statistical analysis on quantitative data
• Prepare reports, conference abstracts/papers and presentations
• Write manuscripts for journal publications
• Support general maintenance of the laboratory and other department duties
• Mentor junior research staff and students
• Other related duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00018324 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Office-of-Graduate-Studies---Professional-Learning---NIE-_R00018324)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research. NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives. An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 15 in the world for research impact in the field of Education.

The Centre for Research in Pedagogy and Practice (CRPP) at the Office of Education Research (OER) in the National Institute of Education (NIE), Singapore, encompass 5 programme research areas in:

• Cognitive, Emotional and Social Learning (CESD)
• Lifelong Learning, Cognition and Wellbeing (LLCW)
• Learning Sciences & Innovation (LS&I)
• Schools, Leadership and System Studies (SLSS)
• Teacher Professionalism and Learning (TPAL)

Since 2002, CRPP has led efforts to spearhead programmes grounded in the principles of advancing research, development and innovation at NIE. CRPP is committed to producing high-quality education research with impact on policy and practice.

CRPP’s research is guided by the Research and Development Framework – a policy-driven, evidence-based framework that guides academic and research staff to improve the quality of teaching and learning in Singapore schools and to build on NIE's standing as a leading international research institution.

CRPP therefore aims to conduct rigorous, relevant multidisciplinary research and development that inform policy, pedagogy and practice in Singapore and internationally. With a strong focus on advancing knowledge in the 5 programmes above, CRPP provides researchers with valuable research opportunities and platforms to enhance their global academic profile.

Position Summary

CRPP is looking for Education Research Scientist / Senior Education Research Scientist to join their research efforts in the priority area of Teacher Professionalism and Learning (TPAL).

TPAL researches the various acts of teaching and the interrelationships that occur within, between and beyond the contexts and situations of teacher education and learning.

We are interested in candidates with expertise in one or more of the following areas:

• Teachers’ professionalism and learning
• Pedagogy and pedagogical adaptability
• Different professional development models and designs
• Teacher leadership in professional development and learning
• Other related areas

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. Successful candidates will work with a team of driven researchers with highly cited publications.

In addition, CRPP provides Senior Education Research Scientist with valuable research opportunities and the platform to enhance their global academic profile. The Office is dedicated to their interests by providing grant opportunities such as the Education Research Funding Programme (ERFP), a pool of research funds administered by the Office and supported by the Ministry of Education (MOE), Singapore.

Requirements

• Ph.D. in a relevant discipline (i.e. teachers’ professionalism and learning, pedagogy and pedagogical adaptability, teacher leadership, and related areas);
• Preferably with 5 years postdoctoral experience or equivalent;
• Experience in cutting edge teacher, teaching and learning research and addressing challenges in education;
• Demonstrable track record in the following areas:
  Research leadership in a research group or center
  High quality publications (i.e. quality and impact of academic publisher, citations and ranking of journal publications etc.)
  Writing of or contribution towards research proposals which are submitted for peer-reviewed funding processes
  Independence in research (i.e. senior authorship/sole authorship of high-quality publications and invited presentations at conferences);
• Attainment of funding through a competitive peer-reviewed process;
• Excellent interpersonal and communication skills; and
• Experience working with Government stakeholders
• Minimum 5 years postdoctoral experience;
• Demonstrable track record in the following areas:
  Research leadership in a research centre or in a large competitive, peer-reviewed research grant
  Supervision of undergraduate and/or graduate students
• Experience engaging with diverse stakeholders including Government stakeholders, Community Organizations and the Public

Responsibilities

• Take a leading role in the further development of research programmes and in seeking and pursuing appropriate external funding;
• Apply for and conduct quality research and work collaboratively to charge new directions for teacher, teaching, and learning research;
• Disseminate the outcomes of the research including in peer-reviewed academic publications of international standing;
• Participate fully in the wider research and service activities to OER/NIE;
• Take responsibility for, manage and conduct administrative and management tasks associated with your programme of research
• Mentor junior faculty and research staff in CRPP;
• Supervise students by research and/or dissertation (i.e. supervise M.A. / M.Sc. students and / or co-supervise Ed.D. students)

Application

Please indicate the position code (NIE:TPAL) in your application and submit the following documents:

• Position code (NIE: TPAL) in the application;
• Qualifications, publications, grants and leadership experience, previous experience and a brief description of your achievements;
• Research statement indicating your research interests and achievements;
• 1 to 3 of your best publications;
• Name of 3 referees;
• Cover letter addressing how you meet the requirements of this position (optional);
• Any other documents that demonstrate your qualifications

Closing Date

Review of applicants will continue until suitable candidates are found.

Note to applicants:

We regret that only successful candidates will be notified (via email).

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research. NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives. An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 15 in the world for research impact in the field of Education.

The Science of Learning in Education Centre (SoLEC) is a young research center with a vision is to become an international leader in Science of Learning in Education research. Hosted at the Office of Education Research (OER) in the National Institute of Education (NIE), the SoLEC conducts research that integrates insights from multiple fields, including neurosciences, cognitive science, psychology, sociology, education and other areas. The Centre is interested in candidates with expertise in one or more of the following areas:

• cognitive neuroscience
• educational neuroscience

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist to join the SoLEC.

Requirements

• PhD in a relevant discipline
• Minimum 2 years of post-PhD experience
• Ability to lead a research team
• Track record in the following areas:

- High quality publications (please provide samples and information on the quality and impact of your work based on citations and ranking of journal publications)
- Planning and writing research project proposals that are funded through competitive peer-reviewed funding processes
- Independence in research (i.e. sole authorship/senior authorship of high-quality publications and invited presentations at conferences)

• Excellent interpersonal and communication skills (spoken and written English)
• Ability to work with colleagues within a team

Responsibilities

• Collaborate with colleagues to design and implement the centre’s research programme
• Take a leading role in the development of research projects and programmes and in seeking and pursuing appropriate external funding
• Disseminate the outcomes of research in peer-reviewed publications of international standing
• Support SoLEC in its efforts to impact practice and policy through research projects and programmes
• Manage and conduct administrative and management tasks associated with research or programme
• Participate in research of strategic importance to SoLEC, OER and NIE
  Participate in the wider research and service activities of SoLEC, OER and NIE

Application

Interested applicants should complete and submit the following documents:
• Cover letter addressing how you meet each of the requirements of this position

• Resume including a list of your qualifications, publications, grants and leadership experience, previous experience and a brief description of your achievements

• Research statement indicating your research expertise, interests, and future directions

• 1 to 3 of your best publications

• Name of at least 3 referees
• Any other documents that demonstrate your qualifications

Closing Date

Review of applicants will continue until the position is filled.

Note to applicants:

We regret that only shortlisted candidates will be notified via email.