Nanyang Technological University’s Mastercard-NTU Joint Lab was established to advance digital trust and cybersecurity. Leveraging Mastercard's industry expertise and NTU's educational resources, the lab leads research and training programs to enhance cybersecurity infrastructure and foster digital trust.

We are looking for a Senior / Research Engineer to design, develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy and security, blockchain, and Web 3.0 which are important components of digital trust platforms. The role will focus on emerging technologies that engender trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating research algorithms, and design/develop tools and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into product.
• Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, help to educate and raise the overall competency of Singapore manpower in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.
• For research engineer position, the emphasis is on the engineering and implementation of trust technologies
• For senior research engineer position, the emphasis is on the system and architecture design of trust solutions for digital transformation in addition to their engineering and implementation.

Job Requirements:

• Minimum Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in programming languages Java, C/C++ is a must. Experience in other programming languages and/or frameworks such as Python, Go, Spring will be an advantage.
• Proficiency with working with common Linux distributions such as Ubuntu, CentOS, RHEL etc. (including shell scripting) is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop is an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing AI/ML systems from end to end, including data exploration, feature engineering, model training/evaluation is an advantage.
• For senior research engineer position, knowledge in privacy enhanced technologies, Web 3.0, and advanced data analytics skill are advantageous.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts
• Ability to work independently and to develop solutions under strict timelines is a must.
• Good knowledge of middleware technologies, API development, related system frameworks and service stacks.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation).
• Good understanding of relational database and Unix shell scripting skills.
• For senior research engineer position, experience in designing and architecting system solutions related to trust technologies.

We regret that only shortlisted candidates will be notified.

At first glance, you’ll see Danaher’s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms—life sciences, diagnostics, and biotechnology.

Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next.

You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.

This role will take the leadership of building an innovation pipeline for S&T projects across Asia and lead the creation of an innovation portfolio via partnerships with academic institutions and other innovation hubs, with the goal of creating novel and advanced products for Danaher’s growth franchises.

This role will work collaboratively with multiple Business Strategy and R&D leaders across Danaher’s Platforms and Operating Companies (OpCo’s) to launch Danaher Ventures (equity investment), Pioneer (venture creation), Beacon (sponsored academic research) and/or Nexus (intrapreneurship) projects, and to ensure that IP created through these strategic partnerships is properly advanced to new products.

In this role, you will have the opportunity to:

• Identify complete set of start-ups and new ventures in Asia that align with the strategic envelope of the Danaher Ventures and could be targets for investment. Areas of focus: Genomic Medicine, Next-Generation Bioprocessing, Human Systems R&D, Diagnosis and AI/ML in Life Sciences and Healthcare. Initiate contact with targets in order to develop an point of view on attractiveness, adjacency and actionability. Lead cultivation, deal development and due diligence on select targets in partnership with Danaher’s internal network of subject matter experts and commercial leaders. Prepare and present findings for internal review and sign-off. Monitor and manage, as appropriate, investments post close
• Complete in-depth market work in order to prioritize opportunities and develop a point-of-view on attractiveness
• Develop and improve standard work around opportunity identification, partner cultivation, opportunity assessment, and transactions
• Work closely with our Danaher Country Presidents across Asia, as well as the OpCo’s leaders in those countries.
• Apply the Danaher Business System to develop and improve standard work around intra- and entrepreneurship

The essential requirements of the job include:

• Advanced degree in a scientific / engineering discipline and/or business (Areas of focus: Genomic Medicine, Next-Generation Bioprocessing, Human Systems R&D, Diagnosis and AI/ML in Life Sciences and Healthcare), plus 8+ years of experience in the Pharmaceutical/Biotech/Life Science industry discovery and early development
• Experience in venture investing in early- to late-stage startups, experience/lab work in a biology setting, preferred. Mixture of Asia and global experience preferred. Successful track record in external R&D, partnering, licensing and/or business development preferred
• Established networks across scientific/biotech/pharma/academic/investment communities
• Fluency in English and Chinese
• Demonstrated high integrity and ethics in all dealings, non-political in conduct, while understanding internal and external dynamics

Travel, Motor Vehicle Record & Physical/Environment Requirements:

• Travel: Varies and can be up to 50%; Candidate required to travel internationally without restrictions as needed.

Nanyang Technological University’s Mastercard-NTU Joint Lab was established to advance digital trust and cybersecurity. Leveraging Mastercard's industry expertise and NTU's educational resources, the lab leads research and training programs to enhance cybersecurity infrastructure and foster digital trust.

The successful applicant is expected to be involved in research and development on Trust Technology including topics such as Trustworthy computation, Trustworthy AI governance, Privacy-preserving Machine Learning, Privacy-preserving Multi-party Computation, Tokenization, Biometric-Assisted Authentication, Verifiable Computation, Trustworthy Systems, Adversarial Machine Learning, Assessing Trustworthiness of AI models etc.

Key Responsibilities:

• Research and development of trust technologies such as privacy and security, blockchain, and Web 3.0 which are important components of digital trust platforms.
• Be involved in trust technologies system development and implementation.
• Prepare reports and scientific papers.

Job Requirements:

• Ph.D. degree in computer science, mathematics, information theory or relevant field
• Proven publication record in privacy, security, blockchain, and trust related conferences and journals
• Be familiar with the following programming languages: C/C++, Python, Java, and GO
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of a full-time Research Associate on a 7-month contract at the Learning Sciences and Assessment Department.

Project Title: Empowering Students through Learning Analytics: The Role of Visualization Design

Project Introduction: Join a project exploring how learning analytics tools like dashboards influence student decision-making and self-regulation. We aim to identify key design features (e.g., data metrics, prompts) and evaluate their impact on student outcomes such as motivation and emotion. The project involves a literature review and experimental study to uncover effective design elements.

Requirements:

• Master’s degree in a relevant discipline (e.g., Educational Technology, Learning Sciences, Data Science, Learning Analytics, Educational Psychology)
• Have experience in educational research; is familiar with survey administration and data analysis
• Demonstrate ability to propose, design, and implement appropriate research instruments
• Be able to work independently with minimal supervision
• Have good oral and written communication skills
• Have excellent organisational skills and the ability to set priorities

Responsibilities:

• Conduct literature reviews on the design of learning analytics visualizations.
• Develop and administer surveys.
• Help recruit participants by communicating with teachers and students.
• Analyze data from experiments and surveys.
• Assist in preparing project progress and final reports.
• Perform other relevant tasks 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: R00018596 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Learning-Sciences---Assessment-Department--NIE-_R00018596)

Closing Date

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

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Transportation or Aerospace Engineering.
• ATM background, previously participated in basic ATM training.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good writing and communication skills.
• Independent and team player.

We regret that only shortlisted candidates will be notified.

The School of Art Design and Media (ADM) in collaboration with the Robotics Research Centre 2 (RRC2) at the School of Mechanical and Aerospace Engineering (MAE) invites suitable applications for the position of Research Assistant for the project Anticipatory Robotics.

Project Introduction:

The project titled Anticipatory Robotics aims to improve Human-Robot Interaction by developing a “Robot Body Language” wherein messages including emotions are incorporated into the movements of collaborative robots.

Key Responsibilities:

• Design animated and motion-capture trajectories of a single-arm robot while incorporating different emotions/messages into the robot movements
• Conduct literature review to support research
• Manage project-related administrative work

Job Requirements:

• Bachelor’s degree in Arts
• Familiarity with 3D animation (blender) and Motion Capture
• Strong interpersonal, written, and verbal communication skills
• Excellent organizational skills and able to work within given deadlines
• Proactive and able to work independently
• Good team player
• Self-directed learner who effectively picks up relevant skills as needed

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

The School of Biological Sciences (SBS) is a school of the College of Science. It was established in 2002 with the mission to make a strong contribution to biological and biomedical sciences. Research areas at SBS include infectious diseases, immunology, neurodegenerative diseases and telomere biology and genome function. Chinese Medicine is one of the new research areas in SBS, focusing on clinical and translational studies on prevention and treatment of chronic diseases.

We are seeking a Research Assistant to join the laboratory of Associate Professor Linda Zhong. The project focuses on clinical and translational research on obesity.

Key Responsibilities:

• Conduct research on obesity and digestive disorders.
• Perform surveys related to Chinese Medicine questionnaires and general health conditions.
• Analyze data and conduct systematic reviews.
• Assist in drafting research proposals and manuscripts.
• Carry out additional tasks as assigned.

Job Requirements:

• Bachelor’s degree in Chinese Medicine, meeting the registration requirements of TCMP in Singapore.
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Preference will be given to candidates with relevant research experience, particularly in clinical trials.

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

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

As part of the Palm Oil research team, you will play a crucial role in forecasting and analyzing key supply and demand developments to forecast palm oil prices. As a Palm Oil Market Lead, you will generate market insights and outlooks by closely analyzing data related to palm oil supply and demand. You will collaborate with our global trading team to drive strategic decisions.

The Palm Oil Market Lead role demands a keen ability to navigate and interpret complex market dynamics. The primary challenge lies in accurately forecasting supply and demand amidst fluctuating market conditions, policy changes, and global economic shifts. This requires not only strong analytical skills and attention to detail but also the ability to synthesize vast amounts of data into actionable insights. Effective communication and collaboration with local and global teams are essential to ensure timely and strategic decision-making in a highly competitive market.

This role will mainly interact with researchers, traders as well as the data science team on key projects. You will be working in a fast-paced environment with tight deadlines. 

Main Responsibilities:

• Data Management & Forecasting:
  • Maintain up-to-date and accurate supply and demand (SnD) data for palm oil, reflecting current market conditions. Compile and update all relevant data and forecast components to anticipate market trends.
• Market Analysis:
  • Stay informed on market trends, policies, and currency fluctuations affecting palm oil supply and demand. Transform this information into actionable market insights and adjust SnD outlooks accordingly.
• Global Coordination:
  • Monitor palm oil flows and demand across Asian, African, and other non-major destinations.
  • Coordinate with team members to ensure accurate adjustments for specific products.
• Communication & Reporting:
  • Effectively communicate key changes in palm oil supply and demand to research and commercial teams.
  • Synthesize and present insights to help stakeholders understand market dynamics and swing factors.
• Quantitative Modeling:
  • Collaborate with the Data Science team to enhance palm oil data analytics and processes.
  • Contribute to the development of new models and approaches to improve internal knowledge.

Experiences & Competencies:

• At least 4 years of experiences in agricultural market research (including a minimum of 2 years in Palm Research)
• Genuine interest in global economics and commodities markets
• Ability to manage data and summarizing large quantity of data into key/actionable insights
• Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports
• Willingness to participate in field surveys to collect observations
• Know how to communicate/explain complex ideas in a simple way
• Experience working with commercial teams to design trading strategies is a plus
• Ability to work with teams in different geographical locations
• Highly organized and detail-oriented, with an attentive approach to analysis to ensure accurate assumptions and conclusions
• Good time management skills and ability to manage multiple tasks and meet deadlines
• Interpersonal skills, ability to forge relationships with colleagues and external contacts
• Self-motivated & problem-solver individual
• Ability to work within a complex and international environment
• Ability to understand the business needs & potential issues and propose innovative ideas/solutions

Technical Skills:

• Proficiency in Excel
• Experience with BI tools for analytics
• Python programming skills and command on SQL and Data visualization tools are a plus
• Strong statistical and analytical skills, with a solid understanding of data management best practices
• Good Business Intelligence awareness

Languages:

• English (Fluent)

Academics:

•  Bachelor’s Degree in Economics, Agricultural Science, Engineering, Trade or related field of study

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

Key Responsibilities:

• Development of machine reasoning methods.
• Development of vision-language methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning.
• Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery.
• Development of deep learning methods and theory.
• Development of computer vision methods.
• Development of natural language processing methods.
• Development of causal inference theory.

Job Requirements:

• PhD. in Computer Science, Electrical Engineering or related disciplines.
• Minimum 3 years of related work experience.
• At least 3 topic-related publications in top-tier journals and conferences, including CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV, TIP, TMM.
• Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision and Causal Inference.
• Experience in at least one Deep Learning framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++.
• Demonstrated project experience related to causal inference will be an advantage.
• Good written and oral communication skills.

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.

• Meet requests from institutional equity sales teams and their clients, and provide strong research support to group wholesale banking and group investment banking revenue pillars.
• Undertake and maintain research coverage on stocks and sectors, as assigned, which requires:
  • Active monitoring of the micro and macro factors affecting the stock(s) and sector(s).
  • Regularly visiting companies and organisations related to the sector(s).
  • Generate investment ideas on sectors/stocks including identifying sales/trading opportunities.
  • Write research reports on these investment ideas in a timely manner.
  • Consistently update clients on the latest development in the sector(s).
  • Assist in production/coordination of research publications and organisation of corporate-client engagement event (e.g. NDRs, conferences etc).
  • Meeting targets for the Equity Research team, e.g. internal client votes and external analyst polls.
• Accompany a Head of Research or Head, Regional Sector in marketing roadshows and other client servicing efforts in the home country as well as overseas markets, as assigned. All Research Analysts are required to market their investment ideas to key institutional clients in Malaysia.
• Research Analysts, subject to performance, may be given an enlarged role with additional responsibilities to:
  • Cover companies outside of the home country as part of a regional sector team.
  • Lead and manage a research project that includes other Research Analysts in the region.
• All analysts must:
  • Display teamwork to achieve a coherent research product
  • Work closely with other Board Members and other senior management personnel at all times to develop RHB’s research product and brand
• Ensure compliance of all legal and regulatory requirements to achieve a high standard of integrity for RHB’s research team and product.

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.