Develop next generation robotics applications (ie: beyond ROS2.0) for industrial customers' base.

Mandatory expectations expected for ROS programming framework and simulators (Nvidia Omniverse, Unity, UE5) to develop applications and toolkits. Candidate is expected to have experience and interest towards A.I (ie: PPO, Transformers, RL, ML) developments.

Candidate should demonstrate track record running programs (project management and systems engineering capabilities), also interest and aptitude for operations-technology-business integration and translation to end customers.

Responsibilities:

• Drive application development, aligned to industrial standards towards industrial automation.
• Develop software testing and validation strategies in accordance with industry standards.
• Develop next generation industrial automation solutions involving AI/ML
• Strong capabilities in Project Management and Systems Engineering
• Track record of software systems engineering
• Develop software solutions using C++, Python and ROS libraries and tools
• Design methodologies and documentation for customer (UML2.0. OOAD, OOP)
• Implementation using C/C++, RTOS, Python, ROS libraries and tools
• Strong knowledge of Software Quality Assurance (functional / non-functional commissioning requirements) and Cyber Security (VAPT, IM8, AIAS)
• Candidate is expected to be given latitude and thus perform as a self-starter, function independently to generate worthy solutions and as a team leader
• Technical write up and presentation

Job Requirements:

• Qualification & field of study: PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science
• Min. years of experience: 5 years
• Other requirements (e.g. skills, competencies): Experience in software engineering, experience in Project Management and Systems Engineering

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.

Develop next generation robotics applications (ie: beyond ROS2.0) for industrial customers' base.

Mandatory expectations expected for ROS programming framework and simulators (Nvidia Omniverse, Unity, UE5) to develop applications and toolkits. Candidate is expected to have experience and interest towards A.I (ie: PPO, Transformers, RL, ML) developments.

Candidate should demonstrate track record running programs (project management and systems engineering capabilities), also interest and aptitude for operations-technology-business integration and translation to end customers.

Responsibilities:

• Drive application development, aligned to industrial standards towards industrial automation.
• Develop software testing and validation strategies in accordance with industry standards.
• Develop next generation industrial automation solutions involving AI/ML
• Strong capabilities in Project Management and Systems Engineering
• Track record of software systems engineering
• Develop software solutions using C++, Python and ROS libraries and tools
• Design methodologies and documentation for customer (UML2.0. OOAD, OOP)
• Implementation using C/C++, RTOS, Python, ROS libraries and tools
• Strong knowledge of Software Quality Assurance (functional / non-functional commissioning requirements) and Cyber Security (VAPT, IM8, AIAS)
• Candidate is expected to be given latitude and thus perform as a self-starter, function independently to generate worthy solutions and as a team leader
• Technical write up and presentation

Job Requirements:

• Qualification & field of study: PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science
• Min. years of experience: 3 years
• Other requirements (e.g. skills, competencies): Experience in software engineering, experience in Project Management and Systems Engineering

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.

Develop front-end web applications to support robotics software solutions and platforms. Candidate should be well-versed in web development skillsets, software development life cycle and systems engineering concepts.

Responsibilities:

• Drive independent application oriented robotic research towards industrial automation using ROS
• Develop software solutions for interoperable multi-agent systems project implementation
• Implement systems engineering approach by translating business requirements into system requirements and validation methodologies
• Develop software testing and validation strategies in accordance with industry standards
• Technical project planning and execution on development projects for global industry members
• Technical write up and presentation of project work

Job Requirements:

• Minimum diploma holder
• Minimum 3 years of front-end development experience
• Proficiency in Wireframing tools, such as Figma, Sketch or Adobe-XD
• React, Typescript HTML5, CSS3 and javascript
• State management libraries (e.g., Redux, Mobx)
• Version control systems (e.g., Git)
• Front-end testing frameworks (e.g., Jest, Enzyme)
• Containerization technologies (e.g., Docker, Kubernetes)
• Understanding of software development lifecycle and agile methodologies.
• Other requirements (e.g. skills, competencies): Experience in ROS and robotics is an added advantage

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: Candidate will be involved in industry projects and use 3D printing technology and other post processes to build parts using polymer reinforced fiber composite materials.

RESPONSIBILITIES:

-Operate equipment to perform 3D printing and relevant post-processes (e.g. cam-based systems), mechanical charaterisation such as tensile, bending, compression tests and inspection (e.g., CMM) as part of the industry project.

-Responsible for generating jig and fixturing 2D/3D drawings for documentation and archiving purposes.

-Manage and work with local machining house for jig and fixture fabrication and assembly.

-Carry out routine maintenance, diagnostics checks and engage equipment vendors for preventive maintenance.

-Perform function testing to verify equipment readiness after maintenance or material change.

-Plan equipment schedule, maintain and improve lab environment. Manage raw feedstock and maintain stock/inventory list.

-Responsible for ensuring duties are performed in a safe, efficient, and effective manner.

JOB REQUIREMENTS:

-NITEC or Diploma in engineering related qualifications.

-At least 5-year work experience in manufacturing roles within the aerospace / MRO / oil and gas / manufacturing industry. Candidates with > 5-year experience will be considered for a senior role.

-Capabilities in CAD and 2D drawings using NX/SolidWorks, with knowledge in GD&T will be beneficial.

-Traditional methods of inspections such as CMM/handheld measurement tools and preparation of FAI documents is preferred.

-Familiarity in handling CAM based systems such as robotic system/CNC is an added advantage.

-Methods of processing and post processing of plastic parts such as prototyping of plastic parts and knowledge in fixture design for machining is preferred.

-A team player who is motivated to solve technical challenges and deliver on time to customers.

-Willingness to learn and adapt to new technology promptly.

-Good communication and interpersonal skills.

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.

We are seeking a Research Associate at College of Computing & Data Science (CCDS) to contribute to our project titled “Tamper Detection with Invisible Watermark and Anti-Tampering for Protecting Face or Body Images/Videos”. The focus is on developing and improving algorithms that enhance privacy and security in the AI models.

Key Responsibilities:

• Exploiting deep learning algorithms for improving privacy and security.
• Identify the weakness of existing deep learning algorithms for tamper detection and protection of watermarks, face, and body images/videos.
• Develop new deep learning algorithms or improve existing algorithms to address the weaknesses.
• Prepare codes and datasets for training and testing.
• Carry out experiments and analyze the results.
• Prepare reports and scientific papers for publication.

Job Requirements:

• Master's degree or above in Computer Science, Data Science, or a related field.
• Strong background in deep learning with first-author publications in ECCV, ICCV, CVPR, ICLR, NeurIPS, ACL, EMNLP, or top-ranked IEEE Transactions.
• Knowledge of multimodal fusion and computer vision is must.
• Experience in algorithm development, data processing, and coding (e.g., Python).
• Proven ability to conduct independent research and publish scientific papers and journals.
• Excellent problem-solving skills and attention to detail.
• Good teamwork skills.
• Industrial experience is a plus

We regret that only shortlisted candidates will be notified.

We are seeking a Research Fellow to join a university-level research centre in College of Computing & Data Science (CCDS) collaborating with industry. The position is for two years, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI-Human Collaborative Content Generation.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD degree in Computer Science or relevant fields such as Electrical Engineering;
• Have a solid foundation in the following areas: Computer Vision, Deep Learning;
• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.;
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.;
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Undertake independent research focusing on the one or more of the the design, reuse, and deployment of machine learning models.
• Experience in both neural deep learning models and AIGC algorithms.
• Collaborate with partners to implement innovative ideas and integrate cutting-edge algorithms into real-world applications.
• Present research findings through academic papers or reports.

Job Requirements:

• Bacholar degree in Computer Science, Computer Engineering, or related fields.
• At least 2 topic-related publications in top-tier AI conferences and journals, including but not limited to ICML, NeurIPS, ICLR, CVPR, TPAMI.
• Demonstrated expertise in efficient model reuse/adaptation/generalization, and automated machine learning.
• A strong sense of responsibility, coupled with the ability to work independently with minimal supervision.
• Good presentation and communication skills.
• Proficiency in at least one deep learning framework such as Jax or PyTorch, and programming languages including Python, and/or C/C++.
• Internship experience in an AI research organization will be highly preferred.

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Undertake independent research focusing on the one or more of the the design, reuse, and deployment of machine learning models.
• Experience in both neural deep learning models and AIGC algorithms.
• Collaborate with partners to implement innovative ideas and integrate cutting-edge algorithms into real-world applications.
• Present research findings through academic papers or reports.

Job Requirements:

• Bacholar degree in Computer Science, Computer Engineering, or related fields.
• At least 2 topic-related publications in top-tier AI conferences and journals, including but not limited to ICML, NeurIPS, ICLR, CVPR, TPAMI.
• Demonstrated expertise in efficient model reuse/adaptation/generalization, and automated machine learning.
• A strong sense of responsibility, coupled with the ability to work independently with minimal supervision.
• Good presentation and communication skills.
• Proficiency in at least one deep learning framework such as Jax or PyTorch, and programming languages including Python, and/or C/C++.
• Internship experience in an AI research organization will be highly preferred.

We regret that only shortlisted candidates will be notified.

Role:

Conduct exploratory and applicative research in the development of new chemistry for precision cleaning, coating materials and processes.

Involve the optimization of precision cleaning, coatings and assist the process development, product trials, scale ups & trouble shooting, and failure analysis.

Responsibilities:

• Work with Engineers in the development of new chemistry, coating products and processes.
• Optimize the coating materials, formulations, processes, and products.
• Perform complex processing experiments, and / or lead the projects / studies.
• Adapt to new technologies, new designs of experiments and new laboratory techniques.
• Write experimental results and technical reports and present at group and R&D meeting.
• Interface with other Coating team personnel as well as global R&D Departments, Engineering, Production, laboratories, vendors, etc.
• Being responsible for internal technical support and external technical cooperation.
• Being responsible for the development and innovation of products, creating and implementing the POR, the standardization and quantitative management of the team.
• Doing technical analysis and quality analysis regularly, being responsible for avoiding and remedying the mistakes of products and guiding the supervision of unqualified products.
• Strong business partnering, influencing, communication, stakeholder alignment, people management skills.
• Any other duties as assigned

Requirements:

· Diploma or Degree in Mechanical / Material Engineering

· 1 year of working experience in production environment

· On job training includes 1 year attachment in Production line.

· Innovation mind & strong interest in laboratory work and passionate for innovation

· Initiative, good analytical skills & good report writing skills.

· Self-motivated team player and able to work with minimum supervision

· Good communication and interpersonal skills, able to work efficiently in a multi-cultural environment.

· Demonstrates excellent verbal and written communication skills in English and Mandarin will be an added advantage in order to liaise with associates.

· Required to travel overseas on business needs.

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.

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.

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 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.