The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Senior Research Fellow/Senior Research Scientist.

Key Responsibilities:

• Strong technical knowledge and hardware experience of power electronics converter topologies and power semiconductor devices which are applicable for low voltage and high voltage power converter systems.
• Strong technical knowledge of gate driver design, controller design, magnetic components and layout of power converter system.
• In depth experience in solving power converter EMI/EMC issues, grounding, harmonic filtering, insulations issues, PCB routing and placement issues, etc.
• Knowledge in electromagnetic design and constructions
• Create test development plan and design of test rigs for validation and verification of products.
• Support in the development activities for commercial high-power and high-voltage power electronics converters for electric drives, power supplies and power conditioners.
• Maintain a good understanding of industrial standards (land-based, aerospace & marine) of electrical system.
• Support staff, provide advice and relevant information, ensure their priorities are clear and understood, ensure they are working together and with the broader team productively, and complete quality reviews on their deliverables.

Job Requirements:

• Ph.D. or Master’s Degree in Electrical Engineering preferred with a minimum of 5 years work experience.
• Hardware Design: Lead the design of power converter hardware, including schematic capture, PCB layout, and component selection, considering factors such as efficiency, thermal management, and electromagnetic compatibility (EMC).
• Prototype Development: Build and test hardware prototypes to validate design concepts and performance specifications.
• Testing and Validation: Develop and execute test plans to validate hardware performance, reliability, and compliance with industry standards.
• Cross-functional Collaboration: Collaborate with software engineers, mechanical engineers, and other teams to ensure seamless integration of hardware components.
• Documentation: Create comprehensive design documentation, including schematics, BOMs, and design reports.
• Troubleshooting: Identify and resolve hardware-related issues during development and product testing phases.
• Regulatory Compliance: Ensure that hardware designs meet relevant safety and regulatory requirements.
• Mentorship: Provide guidance and mentorship to junior hardware engineers.
• Experience with simulation tools such as SPICE for circuit analysis.
• Knowledge of thermal management, EMC, and EMI mitigation techniques.
• Familiarity with industry standards and regulations related to power converters.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and dynamic environment.
• Ability to understand the requirements of the power electronics application and translate into the required features and functionality
• Excellent teamwork awareness
• Good coordination and communication skills

We regret that only shortlisted candidates will be notified.

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Senior Research Fellow/Senior Research Scientist.

Key Responsibilities:

• Strong technical knowledge and hardware experience of power electronics converter topologies and power semiconductor devices which are applicable for low voltage and high voltage power converter systems.
• Strong technical knowledge of gate driver design, controller design, magnetic components and layout of power converter system.
• In depth experience in solving power converter EMI/EMC issues, grounding, harmonic filtering, insulations issues, PCB routing and placement issues, etc.
• Knowledge in electromagnetic design and constructions
• Create test development plan and design of test rigs for validation and verification of products.
• Support in the development activities for commercial high-power and high-voltage power electronics converters for electric drives, power supplies and power conditioners.
• Maintain a good understanding of industrial standards (land-based, aerospace & marine) of electrical system.
• Support staff, provide advice and relevant information, ensure their priorities are clear and understood, ensure they are working together and with the broader team productively, and complete quality reviews on their deliverables.

Job Requirements:

• Ph.D. or Master’s Degree in Electrical Engineering preferred with a minimum of 5 years work experience.
• Hardware Design: Lead the design of power converter hardware, including schematic capture, PCB layout, and component selection, considering factors such as efficiency, thermal management, and electromagnetic compatibility (EMC).
• Prototype Development: Build and test hardware prototypes to validate design concepts and performance specifications.
• Testing and Validation: Develop and execute test plans to validate hardware performance, reliability, and compliance with industry standards.
• Cross-functional Collaboration: Collaborate with software engineers, mechanical engineers, and other teams to ensure seamless integration of hardware components.
• Documentation: Create comprehensive design documentation, including schematics, BOMs, and design reports.
• Troubleshooting: Identify and resolve hardware-related issues during development and product testing phases.
• Regulatory Compliance: Ensure that hardware designs meet relevant safety and regulatory requirements.
• Mentorship: Provide guidance and mentorship to junior hardware engineers.
• Experience with simulation tools such as SPICE for circuit analysis.
• Knowledge of thermal management, EMC, and EMI mitigation techniques.
• Familiarity with industry standards and regulations related to power converters.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and dynamic environment.
• Ability to understand the requirements of the power electronics application and translate into the required features and functionality
• Excellent teamwork awareness
• Good coordination and communication skills

We regret that only shortlisted candidates will be notified.

The Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.

We are looking for an experienced full-time IT / Data Research Engineer to support major research programmes being conducted by the EMPOWER Centre.

Key Responsibilities:

• Conduct internal user requirement analysis, participate in solution design, planning and deploying of IT and data management solutions for the Centre’s research needs.
• Work closely with colleagues on procurement, preparation and publishing of tender specifications, as well as in evaluating and recommending potential solutions and/or vendors, contract management etc.
• Liaise closely with the Centre’s researchers and administrative staff to optimise the current data management system and to develop and maintain local networks.

Job Requirements:

• 2-3 years of working experiences in a fast-paced commercial / industry setting is desirable.
• S/he will also provide technical support for research dissemination activities, which may include workshops, seminars and public outreach activities.
• Candidates with a proven track-record in one or more of these areas are welcome to apply, and we will begin reviewing applications from May 2024 onwards, until all positions are filled.

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

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Senior Research Fellow/Senior Research Scientist.

Key Responsibilities:

• Strong technical knowledge and hardware experience of power electronics converter topologies and power semiconductor devices which are applicable for low voltage and high voltage power converter systems.
• Strong technical knowledge of gate driver design, controller design, magnetic components and layout of power converter system.
• In depth experience in solving power converter EMI/EMC issues, grounding, harmonic filtering, insulations issues, PCB routing and placement issues, etc.
• Knowledge in electromagnetic design and constructions
• Create test development plan and design of test rigs for validation and verification of products.
• Support in the development activities for commercial high-power and high-voltage power electronics converters for electric drives, power supplies and power conditioners.
• Maintain a good understanding of industrial standards (land-based, aerospace & marine) of electrical system.
• Support staff, provide advice and relevant information, ensure their priorities are clear and understood, ensure they are working together and with the broader team productively, and complete quality reviews on their deliverables.

Job Requirements:

• Ph.D. or Master’s Degree in Electrical Engineering preferred with a minimum of 5 years work experience.
• Hardware Design: Lead the design of power converter hardware, including schematic capture, PCB layout, and component selection, considering factors such as efficiency, thermal management, and electromagnetic compatibility (EMC).
• Prototype Development: Build and test hardware prototypes to validate design concepts and performance specifications.
• Testing and Validation: Develop and execute test plans to validate hardware performance, reliability, and compliance with industry standards.
• Cross-functional Collaboration: Collaborate with software engineers, mechanical engineers, and other teams to ensure seamless integration of hardware components.
• Documentation: Create comprehensive design documentation, including schematics, BOMs, and design reports.
• Troubleshooting: Identify and resolve hardware-related issues during development and product testing phases.
• Regulatory Compliance: Ensure that hardware designs meet relevant safety and regulatory requirements.
• Mentorship: Provide guidance and mentorship to junior hardware engineers.
• Experience with simulation tools such as SPICE for circuit analysis.
• Knowledge of thermal management, EMC, and EMI mitigation techniques.
• Familiarity with industry standards and regulations related to power converters.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and dynamic environment.
• Ability to understand the requirements of the power electronics application and translate into the required features and functionality
• Excellent teamwork awareness
• Good coordination and communication skills

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a research scientist to independently conduct research with strong self-motivation and exploration spirit.

Key Responsibilities:

• Conduct high-quality research on LLMs-based conversational agents.
• Develop new algorithms and models to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning.
• Conduct experiments to gain insights on project-related research questions and publish findings in top-tier conferences.
• Apply research outcomes to conversational agents in medical and e-commerce scenarios.

Job Requirements:

• Ph.D. Degree in Computer Science and Engineering or related field.
• Expertise in Natural Language Processing, LLMs and conversational research.
• Demonstrated publication record in top-tier conferences such as ACL, AAAI, NeurIPS, ICLR, or similar.
• Strong analytical and problem-solving skills with proven experience in designing, implementing, and evaluating algorithms and models, particularly in LLMs and Conversational AI.
• Ability to work independently and collaboratively in a research environment, with excellent communication skills for presenting research findings.

We regret that only shortlisted candidates will be notified.

The School of Materials Science and Engineering continue to equip researchers with the latest scientific and technological skills sets much needed by the industry, the School has evolved into a hub of excellence in its niche areas of research. As part of NTU’s College of Engineering, MSE is now recognised worldwide as a premier research institution with top universities, multinational corporations and R&D institutions as its research collaborators and funding partners.

Key Responsibilities:

• Electrochemical process on interface phenomena
• Battery testing under different conditions
• Simulation of scaled up process
• Interface with machine learning group on data base set up
• Battery safety testing

Job Requirements:

• Ph.D in chemistry/ Materials Science/physics
• Candidates with strong background in Materials chemistry/Physical chemistry
• Experience on energy storage system or electrochemical system (Batteries)
• Encourage initiating activities on battery development, devising, and analytic process
• Experience on machine learning will be preferred
• Good command of oral and written English
• Candidate with strong publication/patent records will be preferred

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (EEE) is seeking to hire a Research Assistant to work on new device concepts for cryogenic electronics in i-Lab. The successful candidate will have access to state-of-the-art cleanroom facilities and measurement equipment, as well as opportunities for interdisciplinary collaborations.

Key Responsibilities:

Support i-Lab in the areas including:

• Electromagnetic simulation of semiconductor components
• Design and modeling of nanoelectronic devices based on compound semiconductors
• Experimental studies on nanoelectronics devices at room temperature and cryogenic temperatures

Job Requirements:

• Bachelor degree in Electrical Engineering or related field
• Knowledge in electromagnetic analysis using AWR or similar software
• Knowledge in design and simulation of RF circuits
• Knowledge in experimental methodologies to characterize RF circuits and components
• Proficiency in English is essential for conducting experimental studies
• Good team working skills

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

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

Key Responsibilities

• Conduct research in learning to optimize.
• Collaborate with fellow researchers to design advanced algorithms and theories.
• Publish academic papers or patents.
• Guide and support associated students
• Participate in and contribute to pertinent meetings.

Job Requirements

• A Bachelor degree in Computer Science, Mathematics, Statistics, or relevant fields.
• Strong background in machine learning.
• Experience in machine learning for optimization is preferable.
• Knowledge with machine and deep learning software packages & libraries such as Torch, TensorFlow, Scikit-learn.
• Have good coding skills
• Excellent written and communication skills in English language.

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 focused on Asian environmental challenges. The 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.

ASE is hiring a postdoctoral research fellow to lead a new, Nparks-funded project entitled: “Comparison of litterfall nutrient cycling between forests and urban green spaces in Singapore”. The research fellow will lead the team of three research assistants to collect data for this project, manage project deadlines and deliverables, and analyse and publish research based on this project.

Key Responsibilities:

• Lead a project team in field and lab data collection
• Manage project deadlines and deliverables
• Analyze data and publish findings in international peer reviewed journals
• Train students and staff, and ensure the safe conduct of student research projects

Job Requirements:

• PhD in Ecology, or equivalent field is mandatory
• Strong publication records and the ability to independently and critically analyze ecological questions
• Good interpersonal and organizational skills
• Competent in ecological statistics and R (multivariate analyses, structural equation modelling, generalized linear mixed effects modelling, inverse modelling)
• Able to do regular (up to thrice weekly) fieldwork
• Positive attitude towards acquiring diverse skills and techniques necessary for project execution.
• Prior experience with entomological, molecular taxonomical, botanical or soil work is advantageous

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

ATMRI is seeking a talented and motivated Research Fellow to spearhead innovative research in human-computer interaction and information visualization.

Key Responsibilities:

• Work in multidisciplinary teams to design innovative human-machine interfaces for addressing complex challenges in AI-assisted air traffic control systems.
• Conduct user research and needs-finding studies to identify user problems and design requirements. Utilize a flexible and creative approach, employing suitable methods and techniques tailored to different contexts.
• Collaborate closely with other research fellows, research engineers, and research associates specializing in AI, optimization, and control to prototype and explore interface designs that effectively support human-AI collaboration in air traffic control.
• Design and lead user studies to evaluate interface designs, preferably utilizing both quantitative and qualitative approaches to gather comprehensive feedback.
• Write and publish research findings as journal articles, conference papers, or technical reports to contribute to the academic and professional discourse in the field.

Job Requirements:

• PhD degree in Human-Computer Interaction or Computer Science with a specialization on information visualization, human-machine interaction.
• Extensive knowledge and experience in user interface design incorporating complex information
• Solid programming skills (JavaScript, HTML or alike, Python, C#) are desired.
• Comfortable with UI prototyping tools like Figma, Adobe XD, etc.
• Passionate in crafting and exploring various interface/visualization designs with rigorous considerations on users’ needs
• Experienced with designing and conducting user studies using both qualitative and quantitative approaches.
• Track record of publications at HCI/HMI or information visualization venues is required (CHI, UIST, DIS, IUI, AVI, INTERACT, etc.)
• Independent and team player.
• Excellent English writing and communication skills
• Prior experience in human-AI collaboration research.
• Experience and interest in developing user interfaces and interactions that integrate emerging technologies such as speech-to-text, gaze tracking, or other relevant.
• Familiarity with human-machine interfaces in safety-critical environments, such as manufacturing, air traffic control, vehicle maneuvering, etc.

We regret that only shortlisted candidates will be notified.

We are a leading AI-driven quantitative fund seeking to strengthen our systematic team with a Data Science Focused Quant Researcher. This role involves leveraging advanced data science and machine learning capabilities to innovate and refine trading strategies within the financial markets.

Role Responsibilities:

• Collaborate with Portfolio Managers and other AI specialists to conduct robust quantitative research. This includes developing, testing, and deploying various machine learning and statistical models.
• Employ sophisticated data science techniques to extract actionable insights from vast and diverse datasets, integrating these insights into financial models.
• Utilize scientific methods to create advanced trading models, contributing to predictive analytics regarding market movements.
• Implement machine learning algorithms across extensive datasets to enhance model effectiveness and financial strategies.

Requirements:

• Advanced degree (Master’s/PhD) in Mathematics, Physics, Financial Engineering, Computer Science, or Statistics, with a strong focus on Machine Learning.
• Proven experience handling large datasets and applying machine learning techniques to real-world problems.
• Expertise in areas such as deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, natural language processing, or approximate inference.
• Publications in top-tier conferences like NeurIPS, ICML, ICLR, etc., are highly preferred.
• Proficiency in high-performance programming languages, ideally C++ or similar.
• Demonstrated excellence in quantitative analysis or competitions (e.g., Kaggle, hackathons, mathematical olympiads).
• Practical experience in implementing machine learning algorithms in a professional setting.
• Open to candidates transitioning from tech to finance, or current finance professionals with a strong machine learning background.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the design and execution of robust research initiatives aimed at cultivating green premium strategies and green recommendation systems, fostering environmental benefits.

Key Responsibilities:

• Designing and conducting comprehensive research focused on developing green premium strategies and green recommendation systems to enhance environmental benefits.
• Proposing recommendation methodologies that guide users towards more sustainable lifestyle choices by leveraging data analytics and user behavior insights.
• Developing or fine-tuning large language models (LLMs) that are optimized to influence and persuade consumers to prefer environmentally sustainable products.

Job Requirements:

• Masters’s degree in Computer Science or a related discipline.
• Possess a strong knowledge of deep learning techniques and recommendation system architectures aimed at enhancing the precision of guiding consumers towards sustainability. Demonstrated research experience or a proven track record in these areas is advantageous.
• Proficient in data analysis and data mining, with the ability to extract and interpret complex data sets to improve recommendation algorithms and strategies.
• Capable of collaborating effectively within interdisciplinary teams.
• Excellent communication and written skills in English.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

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

The Project Management Officer will join a compact, dynamic team of project managers and will have the chance to participate in managing innovative research projects focused on sustainability within the energy and chemicals sectors.

Responsibilities include but not limited to:

-Monitor and review projects according to organisational policies and procedures

-Analyse and report projects in terms of Schedule, financial, and performance progress

-Collaborate and work with project managers to ensure internal procedures are properly followed

-Develop guidelines, templates, training materials, and other supporting tools to govern internal business operations

-Manage R&D project delivery by organising, executing, and evaluating project progress and milestones and budget and resource utilisation

-Manage engagement with internal and external stakeholders on communication plans, project schedule, deliverables, and milestones

-Track, monitor, and report progress of project/programme to all stakeholders

-Coordinate and manage project changes to achieve project deliverables and mitigate risks & issues

Requirements

Qualification & Field of Study:

-Bachelor's degree or higher in Chemistry and/or Chemical Engineering-related disciplines. Experience:

-2 years of experience in a research and development and/or project management roles

-Excellent interpersonal skills and teamwork. Ability to collaborate effectively with researchers and achieve outcomes.

-Strong organizational skills with the ability to work independently and as part of a team.

-Strong communication skills, both written and verbal.

-Excellent time management skills and ability to multitask and prioritize work.

-Strong attention to detail and problem-solving skills.

-Knowledge of project management software tools, methodologies, and best practices.

-Strong data analysis skills and proficiency with business analytics software such as Power BI is highly desirable.

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 looking for a highly motivated and passionate computational scientist with a deep understanding of chemistry/cheminformatics to join our dynamic interdisciplinary team innovating at the nexus of chemistry and biotechnology for sustainable chemical manufacturing and bioproducts development. The responsibilities of the successful candidate will include but are not limited to:

· Responsibilities: Working on feature engineering, data augmentation, and hyperparameter optimization to improve the predictive accuracy of AI models

· Implement deep learning models (neural networks, convolutional neural networks, recurrent neural networks, generative AI..etc) for tasks such as molecular property prediction, molecular design, and chemical space exploration.

· Utilize natural language processing (NLP) techniques to analyze scientific literature and extract relevant information

· Collaborate with an interdisciplinary team across chemistry, biology, and data science to develop and implement AI solutions, machine learning models and algorithms

· Analyze data and present research findings at conferences, meetings, and to stakeholders while maintaining accurate records

· Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures and patent applications

· Support the Division in project ideation, technology development, and grant applications

· Supervise and mentor junior researchers, fostering a collaborative and supportive work environment

· Other duties as assigned by the manager

Requirements:

-Ph.D. in chemistry, data science, machine learning, cheminformatics, computational chemistry or a related field.

-Proven experience in developing and deploying machine learning/deep learning models for chemistry or a related field.

-Strong programming skills in Python (required).

-Proficiency with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.

-Familiarity with large language models (LLMs) or computational quantum chemistry (e.g. DFT with Q-Chem) is a plus.

-Familiarity with cheminformatics libraries such as RDKit, molecular docking methods, QSAR, chemical space analysis, with a particular focus on natural product chemistry, will be highly regarded.

-Effective communication and ability to work in cross-functional teams.

-Strong time management and organisational skills.

-Adaptable mindset, open to learning new skills, and willing to assist with various other tasks and experiments.

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.

This position will be part of a multi-disciplinary team, which supports the development and scale-up of chemical processes in developing high fidelity process models and simulations with multi-physics, chemistry and scale effects. The models and simulations will be supporting the development, design, optimization, qualification of both catalytic / noncatalytic chemical processes from laboratory bench scale to pilot scale.

The scope of work includes:

• Development, customisation and validation of process model and simulation of multi-phase chemical processes in advanced reactor technologies such as a Fluidised bed reactor (FBR)
• Develop and/or adopt numerical methods for high-fidelity Multiphysics (including chemical effects) and multi-phase fluid flow simulation and models
• Support lab experimentation and process optimisation using highfidelity multi-physics model
• Collaborate with affiliated research institutes, institute of higher learnings, industry companies, and other relevant stakeholders

Job Requirements

• PhD or Master's Degree in Chemical, Mechanical Engineering, Engineering Physics or a related field.
• 5 years (PhD) or more than 8 years (Masters)
• Experience in developing, customising and validating high fidelity process models and simulations for catalytic chemical processes in different reactor technologies such as Fluidised Bed Reactor (FBR) etc.
• Experience with commercial computational fluid dynamic (CFD) platforms such as COMSOL Multiphysics, ANSYS Fluent or open-source platform such as OpenFOAM.
• Experience in other simulation tools eg. gPROMs, Aspen Plus, AVEVA, Pro II
• Excellent working knowledge of multi-physics and chemical engineering principles, including: hydrodynamics, thermodynamics, heat and mass transport, reaction kinetics, and reactor design.
• Motivated self-starter with the ability to work independently and to participate creatively in multidisciplinary team consisting of scientists and engineers
• Good analytical and problem-solving skills and quick to adapt to changes
• Resourceful, proactive, self-driven with a high degree of professional integrity and Strong communication and excellent writing 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.

This position will be part of a multi-disciplinary team, which supports the development and scale-up of chemical processes in developing high fidelity process models and simulations with multi-physics, chemistry and scale effects. The models and simulations will be supporting the development, design, optimization, qualification of both catalytic / noncatalytic chemical processes from laboratory bench scale to pilot scale.

The scope of work includes:

• Development, customisation and validation of process model and simulation of multi-phase chemical processes in advanced reactor technologies such as a Fluidised bed reactor (FBR)
• Develop and/or adopt numerical methods for high-fidelity Multiphysics (including chemical effects) and multi-phase fluid flow simulation and models
• Support lab experimentation and process optimisation using highfidelity multi-physics model
• Collaborate with affiliated research institutes, institute of higher learnings, industry companies, and other relevant stakeholders

Job Requirements

• PhD or Master's Degree in Chemical, Mechanical Engineering, Engineering Physics or a related field.
• 3-5 years (PhD) or more than 5 years (Masters)
• Experience in developing, customising and validating high fidelity process models and simulations for catalytic chemical processes in different reactor technologies such as Fluidised Bed Reactor (FBR) etc.
• Experience with commercial computational fluid dynamic (CFD) platforms such as COMSOL Multiphysics, ANSYS Fluent or open-source platform such as OpenFOAM.
• Experience in other simulation tools eg. gPROMs, Aspen Plus, AVEVA, Pro II
• Excellent working knowledge of multi-physics and chemical engineering principles, including: hydrodynamics, thermodynamics, heat and mass transport, reaction kinetics, and reactor design.
• Motivated self-starter with the ability to work independently and to participate creatively in multidisciplinary team consisting of scientists and engineers
• Good analytical and problem-solving skills and quick to adapt to changes
• Resourceful, proactive, self-driven with a high degree of professional integrity and Strong communication and excellent writing 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.

Job Description:

We are seeking motivated and enthusiastic research scientists to join our team. The successful candidate will work closely with our PI, Co-Is and researchers to develop and test sustainable mineral extraction techniques and evaluate their effectiveness in capturing and sequestering CO2. This role will involve conducting experiments, analyzing data, and contributing to the development of new and improved methods for CO2 sequestration.

Job scope:

• Collaborate with our research team to develop and test sustainable mineral extraction techniques.
• Conduct experiments to evaluate the effectiveness of different methods for capturing and sequestering CO2.
• Analyze data and contribute to the development of new and improved CO2 sequestration solutions.
• Stay up-to-date on the latest developments in sustainable construction materials and carbon capture technologies.

Job requirements:

• PhD degree in Chemistry, Chemical Engineering, Environmental Science, or a related field.
• Strong analytical (XRD, XRF, BET, SEM, TEM etc) and problemsolving skills.
• Experience with laboratory research and experimental design.
• Proactive team players and excellent communication and collaboration skills.
• Passion for sustainability and environmental conservation.

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 looking for a highly motivated and passionate computational scientist with a deep understanding of chemistry/cheminformatics to join our dynamic interdisciplinary team innovating at the nexus of chemistry and biotechnology for sustainable chemical manufacturing and bioproducts development. The responsibilities of the successful candidate will include but are not limited to:

· Responsibilities: Working on feature engineering, data augmentation, and hyperparameter optimization to improve the predictive accuracy of AI models

· Implement deep learning models (neural networks, convolutional neural networks, recurrent neural networks, generative AI..etc) for tasks such as molecular property prediction, molecular design, and chemical space exploration.

· Utilize natural language processing (NLP) techniques to analyze scientific literature and extract relevant information

· Collaborate with an interdisciplinary team across chemistry, biology, and data science to develop and implement AI solutions, machine learning models and algorithms

· Analyze data and present research findings at conferences, meetings, and to stakeholders while maintaining accurate records

· Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures and patent applications

· Support the Division in project ideation, technology development, and grant applications

· Supervise and mentor junior researchers, fostering a collaborative and supportive work environment

· Other duties as assigned by the manager

Requirements:

-Ph.D. in chemistry, data science, machine learning, cheminformatics, computational chemistry or a related field.

-More than 5 years of experience

-Proven experience in developing and deploying machine learning/deep learning models for chemistry or a related field.

-Strong programming skills in Python (required).

-Proficiency with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.

-Familiarity with large language models (LLMs) or computational quantum chemistry (e.g. DFT with Q-Chem) is a plus.

-Familiarity with cheminformatics libraries such as RDKit, molecular docking methods, QSAR, chemical space analysis, with a particular focus on natural product chemistry, will be highly regarded.

-Effective communication and ability to work in cross-functional teams.

-Strong time management and organisational skills.

-Adaptable mindset, open to learning new skills, and willing to assist with various other tasks and experiments.

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

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• Bachelor in Biology, Biochemistry, Life Sciences, or related fields.
• Have experience in the field of Neuroscience
• Have past publications
• Programming skills
• Animal handling (mouse)

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Responsible for performing intelligent scent and multimedia processing
• Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research
• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

Ensure operational excellence and regulatory compliance in the centre.

Responsibilities:

• Provide operational support in the centre day-to-day and during center events
• Support the organization operations and research need through the workshops/laboratories, offices, building infrastructure and premise security management
• Conduct daily walkabout in the centre to ensure the centre is in good operational condition, uncompromised security and safety compliance
• Ensure a safe working environment within the centre
• Track, maintain and order the operational inventories and maintain a systematic filing system
• Work closely with in-house contractors for facilities feedback to keep the centre in a daily operational state
• Assist in liaising and sourcing of vendor for quotation, equipment, service and monitor the contractor work?s quality, schedule and ensure safety during the execution
• Handle requests and queries from staff and management
• Work together with internal stakeholders/partners to support the entity in center operations
• Assist in executing corporate facilities related projects
• Investigate, check and analyze reported on any workshop and laboratory breakdown
• Facilitate in the facilities related SOPs, Forms and presentation materials
• Perform essential handyman work when needed
• Assist in statutory audit and internal audit
• Any other duties assigned by supervisor

Job requirements

• At least diploma in related field (Facilities / Safety / Operations)
• Minimum 1 to 2 years of relevant experience in operations for workshop, laboratory, facility, building services, electrical and mechanical
• Willing to be scheduled to occasionally work off shift hours in support of operations
• Able to breakdown the assigned work into deliverable tasks and provide realistic timeline for their completion
• Competency in Microsoft Office, AV system. Experience in office outfitting/ relocation projects is added advantage.
• Experience in supervising contractors, facility management and their sub-contractors
• Some understanding in the HS&E requirement
• A self-driven and meticulous individual who has the strong ability to multi-task

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.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the advancement of Artificial Intelligence (AI) and sustainability by leveraging expertise in literature review and background study of green AI, applying foundational model knowledge to enhance training and inference efficiency, and conducting rigorous experiments to validate and benchmark against comprehensive baselines, thereby driving innovation towards environmentally conscious AI solutions.

Key Responsibilities:

• Performing literature review and background study on green AI
• Apply knowledge on foundation models to optimize training and inference processes
• Conduct experiments to compare with comprehensive baselines and validate results

Job Requirements:

• Possess bachelor’s degree in computer science, or a related discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining
• Experiences in edge networks and communication systems
• Good programming skills in e.g., Python, Matlab, C++, etc
• Good interpersonal skills
• Excellent teamwork awareness
• Good communication and writing in English
• Strong research experience/track record in machine learning will be a plus

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects.

EEE is inviting applications for the position of Research Assistant. The Research Assistant will work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation.

Key Responsibilities:

• Study literatures on PCB security evaluation, PCB multi-modal image analysis, and datasheet parsing.
• Data annotation and preprocessing.
• Research and develop algorithms and AI models for various computer vision tasks of PCB image analysis.
• Algorithm/model evaluation and testing.
• Maintain the integrity of the data and code base.
• Prepare documentation and report for technology transfer.
• Prepare reports and presentations for review meetings.
• Prepare and publish research papers on top-tier journals and conferences.

Job Requirements:

• Bachelor Degree in Computer Science or Electrical Engineering from reputed universities, with hands-on experience in related fields.
• Familiar with Python, PyTorch, etc.
• Experienced in image processing and machine learning.
• Excellent verbal and written communication skills.
• Proficient in literature study and can conduct research independently.
• Independent and self-motivated.
• Organized and detail oriented.
• Willing to learn.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Engineer I who will conduct cutting-edge research on large language models (LLMs) for Southeast Asian languages.

Key Responsibilities:

• Conduct research in the field of neural networks, natural language processing (NLP), and large language models (LLMs)
• Critically evaluate existing literature and propose new ideas under supervision
• Write papers and present the research work to a wide audience

Job Requirements:

• Bachelor’s degree and above in computer science, artificial intelligence, or related disciplines
• Strong background in Python and PyTorch programming
• Excellent mathematical literacy and familiarity with linear algebra and probability theory
• Curiosity, keen observation, grit, and communication skills
• Keen observation for clues that most people may overlook
• Excellent oral and written communication in English
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret that only shortlisted candidates will be notified.