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]).

The Humanities, Arts, and Social Sciences (HASS) cluster at the Singapore University of Technology and Design (SUTD) seeks applicants for a full-time, tenure-track faculty position specialising in the philosophy of science and technology. Appointments will be made on an initial three-year contract with the possibility of renewal.

We are particularly interested in applicants who can play an instrumental role in addressing questions relating to ethics in Artificial Intelligence (AI) and other emerging technologies—both through teaching students who are pursuing engineering, computer science, and architecture majors and through interdisciplinary research collaborations with engineering, design, and computer science faculty. Applicants should have a Ph.D. in a humanities-related discipline, such as philosophy or digital humanities, and have demonstrated research and teaching expertise in their field.

Besides cultivating a strong research portfolio, the successful candidate will be required to teach our undergraduate humanities core course and new electives in the candidate’s area of specialisation. Candidates who can contribute to our cluster’s digital humanities minor programme will also be viewed favourably. Other duties include working with faculty to contribute to interdisciplinary research and teaching initiatives, such as mentoring students as they work on their capstone projects or fostering collaborations with industry or public service sectors.

Application Details

SUTD offers degrees in engineering, architecture, and design with a strong emphasis on creating a better world by design and strives to nurture culturally competent innovators, technologists, designers, and entrepreneurs. Its key interdisciplinary areas in research and teaching are AI, aviation, cities, and healthcare. The HASS cluster plays a pivotal and critical role in the university’s commitment to world-class teaching and research excellence.

The current HASS faculty brings core expertise in literature, history, philosophy, theater, film studies, anthropology, communication, psychology, sociology, business, economics, and urban studies. This unique combination of interdisciplinary faculty has given rise to thought-provoking research and teaching that contribute significantly to HASS disciplines, as well as to interdisciplinary projects with other departments at SUTD, such as Architecture and Sustainable Design (ASD), Design and Artificial Intelligence (DAI), Engineering Product Development (EPD), Engineering Systems and Design (ESD), and Information Systems Technology and Design (ISTD). For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://hass.sutd.edu.sg/

We especially seek creative scholars with the potential to develop new directions in humanities teaching and research and who are interested in joining an interdisciplinary humanities, arts, and social science department at an engineering and design university.

Candidates should submit the following materials to [email protected]:

1. A cover letter.

2. A curriculum vitae.

3. A statement of current and future research plans.

4. A statement of teaching experience and philosophy.

5. A 500-word description and selected bibliography of up to ten readings for two courses you may wish to offer.

6. Two representative publications (e.g., articles, book or dissertation chapters, or works in progress).

7. Names, affiliations, and email addresses of three referees. (Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation. Please have your recommenders ready to send their letters via email or Interfolio.)

Full consideration will be given to applications received by 29 November 2024. Interviews will likely take place at the end of January/early February 2025.

For more information about the position, please contact [email protected].

Research Fellow

Responsibilities:

• Survey the state of the art in urban sustainability operations and optimization;
• Mathematical modelling and problem formulation to fit practical scenarios;
• Provide optimization and operation policy to guide urban sustainability; and
• Validate the findings using simulations and real data.

Requirements:

• PhD degree in control science and engineering, computer science, electrical engineering, or applied mathematics;
• Has multiple publications in good conferences/journals in AI/computer science, electrical engineering, networking, experiments, and system optimization;
• Fluent in oral and written English;
• At least 2 years of experience in doing research in optimization algorithm design and system operations using performance control, machine learning, stochastic modelling, optimization, or game theory; and
• Experience in applying mathematical modelling and optimization algorithms to large-scale urban networks.

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 Senior Research Assistant will be working on projects which are at the intersection of artificial intelligence and architecture, the successful candidate will work with researchers from other domains to implement deep learning modules with spatial and geometrics datasets across the design scales of products, buildings and cities.

Requirements:

• Masters Degree in Computer Science, AI, Data Science, Architecture or any other related fields
• Experience in deep learning frameworks
• Proficient in programming skills
• Good interdisciplinary approach in working with real-world datasets

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.

The Role

You will perform production application support task for payments system (overseas and domestic remittance & cheque payment, local interbank fund transfer-GIRO, FAST, MEPS+) for APAC region.

Job Responsibilities

• Responsible for production system integrity and production system readiness of systems under Payment System team for APAC region
• Provide L2 support and troubleshooting for production incidents and critical system interface through Payment System
• Support the Incident Manager in ensuring preventive and detective measures of applications are identified and implemented with provision of root cause analysis.
• Support the IT Planner in meeting project objectives and perform production transition for new system launch and system change request.
• Propose improvements for systems based on identified process gaps.
• Standardize processes through developing implementation, integration, and documentation in accordance to set standards.
• Identify and propose suitable processes for automation and implementation.
• Lead and coordinate projects (project support and change request). Provide analytical support and execute requirement analysis to support system enhancement, fixes, and emergency application changes deployment.
• Highlight and escalates risk issues to relevant parties in a timely manner.
• Participate in system restoration for Disaster Recovery exercises.
• Coordinate regular meetings for issues resolution with developers/vendors.
• Perform other duties as and when assigned.

Job Requirements

• Diploma or bachelor’s degree in Computer Science or Information Technology.
• Min. 4 years of work experience in the Application or System Support function, preferably in a bank or financial institution.
• Possess hands-on experiences in supporting Payment systems.
• Experience in Enterprise Application support environment with interaction to multiple function (developer, infrastructure and service desk) and business users.
• Has functional knowledge of Payment systems such as GIRO, FAST, CTS, MEPS+, Overseas & Domestic Remittance, Internet Banking, customer eAdvices.
• Has technical knowledge on Application hosted in both Windows and LINUX, able to perform database query (SQL Server, Oracle) and handling application services under Windows and LINUX services.
• Possess good understanding and competency in scripting (such as DOS, Shell Scripting)
• Possess self-motivated and driven work ethnic to ensure high quality work in a timely manner.
• Possess collaborative team player working style with demonstration of presentable interpersonal skills.
• Excellent communication, interpersonal and presentation skills.
• Demonstrate a strong sense of accountability and ownership of results.
• Demonstrate sound judgment in reviewing problems and making recommendations / decisions.

The Role

You will perform production application support task for Supply Chain finance platform in APAC region.

Job Responsibilities

• Be the Subject Matter Expert on the Supply Chain Finance platform and eco-system facing the bank users.
• Responsible in E2E management of production incidents / service request linked to the Supply Chain Finance platform (e.g. Opening of tickets / weekly meetings on progress of outstanding issues / coordination with internal team on the execution of data extraction).
• Perform detailed support and troubleshooting for production incidents linked to Supply Chain Finance platform including coordination with internal and external stakeholders for impact analysis / workaround / root cause analysis.
• Work with the System Owner / Incident Manager to build on the Operational Knowledge Base / incident process management focusing on Supply Chain Finance ecosystem. PIC is responsible in creating / maintaining such documents including working with the project team to gain knowledge on any new enhancements / releases on the Supply Chain Finance eco-system.
• Responsible for validation of the platform after any scheduled / unscheduled patching of the Supply Chain Finance ecosystem.
• Responsible for management of the platform / coordination with internal stakeholders during any Disaster Recovery exercises.
• Responsible for execution on any system config changes linked to Supply Chain Finance platform.
• Highlight and escalates risk issues to relevant parties in a timely manner.
• Participate in system restoration for Disaster Recovery exercises.
• Perform other duties as and when assigned.

Job Requirements

• Diploma or bachelor’s degree in computer science or information Technology, Finance or Economics.
• Min. 9 years of work experience in the application or system support function, preferably in the finance industry.
• Possess functional knowledge in the Supplier Finance / Accounts Receivables Purchase / Dynamic Discounting product including middle office / back-office operations such as funding / payments.
• Possess functional knowledge on Finshare Platform (by Premium Technology)
• Experience in Enterprise Application support environment with interaction to multiple function (developer, infrastructure and service desk) and business users.
• Good understanding and competency in scripting (such as DOS, Shell Scripting).
• Excellent communication, interpersonal and presentation skills.
• Demonstrate sound judgment in reviewing problems and making recommendations / decisions.
• Demonstrate a strong sense of accountability and ownership of results.
• Possess self-motivated and driven work ethnic to ensure high quality work in a timely manner.

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).