Total 1,596 Education / Training job vacancies in client site sgp singapore 14 tuas ave 1

Our department is seeking to hire a responsible and talented Research Fellow (RF) to support research aiming to develop AI embedded methods and tools to facilitate the testing procedure of Continental products. This project needs the employee to apply computer vision AI techniques and learning algorithms to build toolkits that automatically generates complete architecture of test cases and corresponding labels, which will spend plenty of time in traditional manual testing. The RF is also involved in some academic works including, reinforcement learning, computer vision, and software testing.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• PhD degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

We regret that only shortlisted candidates will be notified.

The Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) was established by A*STAR in 2022 to support Singapore's sustainability goals, including the Singapore Green Plan and Zero Waste Masterplan, through strong international partnerships with industry, public agencies, and academia. ISCE2 is located at Jurong Island.

You will play a key role in supporting the monthly manpower report, grant management, grant utilisation and financial planning of ISCE2. As part of day-to-day operations, you will also be involved in updating of manpower allocation in SAP and coordinating with various stakeholders for manpower budgets and projection. In the process of stakeholders' engagement, you will have the opportunities to interact with senior management and researchers directly, as well as various counterparts in HQ e.g. Finance, HR etc.

Job description:

• Analyse monthly manpower reports, monitor grants utilisation for manpower and prepare for presentations as and when needed
• Perform short- and long-term financial projections for the Institute
• Update of manpower allocation in SAP on a timely basis
• Prepare and submit Fund Requisitions and Final Statement of Accounts
• Ensure proper allocation of bonuses to projects
• Attend to queries from grantors and auditors on manpower charging
• Checking of budget and headcount availability of manpower requisition for staff to be hired
• Perform billing and charging of services provided
• Other duties as may be assigned

Requirements:

• Diploma/Degree in Finance/Business Administration/Accountancy with at least 2 years of experience in resource or grant management
• Highly proficient in Microsoft Office, especially in Excel and PowerPoint
• Good interpersonal and communication skills
• Able to work independently and as a team
• Impeccable attention to details
• Experience in SAP will be an advantage
• Hybrid work arrangement
• Willing to work at Jurong island (2-way transport from five locations: Boon Lay, Choa Chu Kang, Clementi, Jurong East and Outram Park)

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 Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a highly motivated and independent Research Fellow to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilities:

• Develop the assessment framework for controller workload, communication and coordination efficiency, and decision making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge, communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Spearhead research initiatives, publish in leading journals and conferences, mentor students, and collaborate with academic and industry partners to drive the deployment of next-generation ATM systems.

Job Requirements:

• A PhD degree in human factors, aerospace engineering, operations research, or a related field.
• Proven research expertise demonstrated through publications in SCI Q1 journals and ATM-focused conferences.
• Strong theoretical background in human factors for air traffic management systems.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Ability to work independently and as a team leader, managing multiple tasks across research and project objectives.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a Research Associate to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilties:

• Assists in development of the assessment framework for controller workload, communication and coordination efficiency, and decision-making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Publishing in top-tier journals and conferences, mentoring students, and collaborating with industry and academic partners to deliver impactful results.

Job Requirements:

• A Master’s degree in Human Factors, operations research, or a related field;
• Domain knowledge in ATM is highly advantageous.
• Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Capable of managing multiple tasks effectively, both independently and as part of a collaborative team.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

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

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Senior/Manager - Corporate Sales (Higher Education & Academic Libraries)

Booksmart Distribution Pte Ltd is a leading, fully integrated book distributor, transforming the way books are manufactured, purchased, and delivered across Asia. With an unmatched level of vertical integration, we are able to offer an efficient and highly reliable service to higher education institutions, academic libraries, and educational organizations throughout the region.

As part of our strategic growth plans, Booksmartis launching a new corporate sales team, a key driver of our continued success. We are seeking a highly motivated and dynamic Sales Manager to lead and drive our corporate sales efforts in the higher education and academic library sectors. This is a unique opportunity to shape the future of our sales operations while playing an integral role in the company’s expansion and growth.

What you’ll be doing:

• Lead the development and execution of the corporate sales strategy, focused on expanding Booksmart’s presence in the higher education and academic library sectors
• Drive revenue and profit growth in this key business area
• Build and nurture long-term relationships with university libraries, academic institutions, and educational organizations to ensure continued success and expansion
• Identify new business opportunities while fostering existing client relationships to maximize sales potential and secure repeat business
• Collaborate with cross-functional teams, including marketing, operations, and customer service, to enhance product offerings and improve customer satisfaction
• Stay ahead of market trends, competitor activities, and customer needs to ensure Booksmart remains well-positioned in the evolving market
• Provide regular sales performance updates, market insights, and business progress to senior leadership.

What we’re looking for:

• Bachelor degree in Business, Sales, Marketing, or a related field is preferred
• At least 5 years’ of relevant experience and proven success in corporate sales, ideally within the higher education, academic library, or publishing sectors
• Knowledge of the Asia-Pacific higher education and academic library market is highly desirable
• Strong leadership and team-building skills, with the ability to inspire and lead a sales team to achieve ambitious targets
• Targets-driven with demonstrated success in sales strategy development and execution
• Excellent relationship-building skills, particularly with senior decision-makers and academic stakeholders
• Excellent communication and presentation skills, both written and verbal

Markono is committed to fostering and cultivating a diverse and inclusive workplace. We believe that a diverse workforce is needed to drive innovation, grow, and succeed in today’s corporate climate. We recruit and select employees on the basis of merit (such as skills, experience or ability to perform the job), regardless of nationality, age, gender, marital status, pregnancy status, caregiving responsibilities, race, religion, language, disability and mental health conditions. Join us and thrive!

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Design and synthesize novel stimuli-responsive lipids or polymers for RNA delivery formulations to achieve efficient transfection and endosomal escape.
• Develop cationic or ionizable lipids or polymers for RNA delivery applications.
• Collaborate with team members to formulate lipids/polymers with RNA for transfection experiments.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties.

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Materials Science, or related field
• At least 5 years of relevant experience in lipid/polymer synthesis and design for stimuli-responsive nanoparticle delivery, particularly RNA delivery formulations.
• Familiarity with advanced lipid/polymer design for RNA delivery and nanoparticle formulations (e.g., classical LNPs and top research groups).
• Strong written and oral communication skills.
• Proficiency in lipid/polymer synthesis is essential.
• Competence in technical communication and leadership, including supervising junior researchers (e.g., PhD students).
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemistry, chemical engineering, materials science, and engineering or related fields with knowledge in organic or polymer synthesis are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Chiba group. The Chiba group in CCEB is pursing development of new synthetic routes that allows for efficient synthesis of biologically active complex organic molecules of pharmaceutical interests.

The Research Fellow will take on a significant role in the development of new molecular transformations utilizing polysulfide anions as photocatalysts for the synthesis of complex molecules.

Key Responsibilities:

• Conduct daily experiments in synthetic chemistry and catalysis.
• Analyze data obtained from experiments
• Oversee the project team to ensure timely progress and achievement of research goals.
• Submit weekly reports summarizing experimental results and progress.
• Present research updates in group meetings through oral presentations.
• Assist in planning and preparing future funding proposals.
• Summarize research findings for paper publications.

Job Requirements:

• PhD in Synthetic Organic Chemistry with more than 5 years’ experience in the relevant areas as graduate and/or postdoctoral fellow level in advanced institutions
• Proficiency in using various analytical equipment such as NMR, Mass Spec, IR, UV-vis and Potentiostat.
• Ability to handle air-sensitive materials and work with transient species in synthetic chemistry

We regret that only shortlisted candidates will be notified.

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

To apply, please submit a CV, brief statement of research interests, and contact information for at least two references to [email protected].

We regret that only shortlisted candidates will be notified.

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to develop stimuli-responsive nanoparticle formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Develop new stimuli-responsive lipid or polymer formulations for RNA nanomedicine to achieve efficient transfection efficiency and endosomal escape.
• Design and synthesize novel cationic or ionizable lipids or polymers for RNA delivery.
• Formulate lipids/polymers with RNA to create delivery systems.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Bioengineering, Materials Science, or related field
• At least 5 years of relevant experience in stimuli-responsive nanoparticle delivery formulations and evaluation.
• Familiarity with RNA delivery formulations (e.g., LNPs) and their evaluation.
• Proficiency in RNA formulation and RNA evaluation techniques.
• Experience with mice studies and bioimaging (e.g., confocal, FRET, FRAP).
• Strong background in lipid or polymer synthesis.
• Excellent oral and written communication skills; capable of technical leadership and supervising junior researchers.
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemical engineering, bioengineering, chemistry, materials science, and engineering or related fields, with knowledge in RNA delivery and independent research, are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

The Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) was established by A*STAR in 2022 to support Singapore's sustainability goals, including the Singapore Green Plan and Zero Waste Masterplan, through strong international partnerships with industry, public agencies, and academia. ISCE2 is located at Jurong Island.

You will play a key role in supporting the monthly manpower report, grant management, grant utilisation and financial planning of ISCE2. As part of day-to-day operations, you will also be involved in updating of manpower allocation in SAP and coordinating with various stakeholders for manpower budgets and projection. In the process of stakeholders' engagement, you will have the opportunities to interact with senior management and researchers directly, as well as various counterparts in HQ e.g. Finance, HR etc.

Job description:

• Analyse monthly manpower reports, monitor grants utilisation for manpower and prepare for presentations as and when needed
• Perform short- and long-term financial projections for the Institute
• Update of manpower allocation in SAP on a timely basis
• Prepare and submit Fund Requisitions and Final Statement of Accounts
• Ensure proper allocation of bonuses to projects
• Attend to queries from grantors and auditors on manpower charging
• Checking of budget and headcount availability of manpower requisition for staff to be hired
• Perform billing and charging of services provided
• Other duties as may be assigned

Requirements:

• Diploma/Degree in Finance/Business Administration/Accountancy with at least 2 years of experience in resource or grant management
• Highly proficient in Microsoft Office, especially in Excel and PowerPoint
• Good interpersonal and communication skills
• Able to work independently and as a team
• Impeccable attention to details
• Experience in SAP will be an advantage
• Hybrid work arrangement
• Willing to work at Jurong island (2-way transport from five locations: Boon Lay, Choa Chu Kang, Clementi, Jurong East and Outram Park)

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.

He/She reports through GL&D and supports site learning needs with responsibility for defining, developing, and facilitating all learning and development plans and activities for the GL&D Learning portfolio. They maintain awareness and understanding of key site priorities/processes and external best practices, partners with key site stakeholders to identify performance needs and gaps and will partner with their client to implement and ensure adherence to established governance and company standards. As needed, this role will also partner with the learning creation team in GL&D to ensure relevant learning solutions are fit for purpose. This leader will develop and maintain strong business relationships, build sponsorship, and collaborate as part of an integrated learning network. Success in this role depends on a candidate’s ability to collaborate with stakeholders by translating the goals of the site into learning strategies and solutions as determined by strong needs analysis. This position will then oversee the effective delivery of those solutions through a network of their peers.

Responsibilities:

• Establish relationships with clients to enable realization of Operating Unit and Site/Client strategy resulting in improved business outcomes and results.
• Implement learning strategy/plans for client ensuring adherence to standards, including implementation training programs. Monitors progress with appropriate documentation and metrics and defines opportunities for continuous improvement.
• Respond to inquiries from site/region on offerings in global catalogs to recommend appropriate learning interventions to drive impact on the business locally.
• Recommend learning solutions and effective learning strategies based on identified needs to realize site hoshin objectives. Align site leaders around “best-fit” learning strategies while collaborating within GL&D to leverage existing and/or develop new learning solutions to meet either core and common or unique site requirements.
• Work collaboratively with site learning teams to implement, maintain and continuously improve standard learning processes.
• Serve as steward for all global content standards to drive adherence/compliance which allows for current content, best-in-class design and an improved learner experience.
• Create line of site locally for Regional GL&D Learning Partners enabling them to drive capability alignment across the Marketing Division.
• Collaborate with HRBP’s at site to integrate learning solutions with other talent-related initiatives.
• Deliver training and/or support local SME’s providing training as needed.
• Measure and report impact of learning programs against set metrics. Use data insights to continuously improve solutions and outcomes.
• As needed, quality and coach colleagues or global/local subject matter experts who will deliver or facilitate while ensuring adherence to the global standard.
• Ensure accurate forecasts based on strong performance consulting and project risk management.
• If required, support multiple sites within a region by serving as a shared resource.

Competencies:

• Learning Consultation: Nurtures client relationship to enable a trusted partnership and leads needs assessment and gap analysis to pinpoint areas of opportunity for multiple and/or long-term learning solutions and advises on appropriateness of learning solutions. Develops case for solution to address business needs, leveraging learning solutions, and global standards. Articulates impact and benefits of learning organization on business success to stakeholders.
• Business Acumen: Ability to understand business strategy, goals, and business outcomes, and make sound business decisions.
• Collaboration: Work with individuals and groups in a constructive and collaborative manner, including the ability to build and maintain critical networks and collaborative relationships. Take full advantage of resident expertise in GL&D internal partner organizations (such as Design & Development and Learning Operations) to maximize efficiency and effectiveness; personally remain focused on key Learning Partner responsibilities.
• Creative Thinking: Intermediate skill in applying tools and techniques for grasping new concepts, acquiring new ways of seeing things, and revising ways of thinking and patterns of behavior.
• Oral and Written Communications: Ability to express oneself to provide information to others effectively and in a succinct manner; outstanding verbal, written, and executive level presentation abilities and interpersonal skills; ability to ask thoughtful questions to gain insights, listen, and understand other perspectives.
• Decision Making and Critical Thinking: Ability to leverage information and make evidenced based decisions when solving problems. Ability to prioritize own work. Seek first to leverage existing resources and align with other areas of GL&D before developing new assets.
• Data analytics: Ability to determine business and learning outcomes, metrics and measurement strategies. Ability to analyze and interpret data for business and learning decisions.
• Planning: Project planning and management experience, including the ability to contribute to operational (short term), tactical (1–2 years), and strategic (3-5 years) planning in support of the business plan.
• L&D Policies, Standards, and Procedures: Knowledge of and ability to use industry and organization standards, procedures, and policies relevant to staff learning and development.
• Adult Learning: Theory and Practice: Experience in applying concepts and practices of adult learning to meet the dynamic needs of the business.
• Learning Needs Analysis: Experience in assessing competency gaps and identifying what people need to learn for successful individual and organizational performance.

Qualifications:

Required:

• Bachelor’s degree required with 5 years of related experience (3+ years with Master’s degree)
• Minimum 1 year of experience facilitating / delivering learning solutions.

Preferred:

• Master’s degree preferred.
• Experience in the areas of learning, talent, HR, or comparable areas; experience in applicable technical/professional areas pertinent to the division / function served (e.g., R&D, manufacturing, sales/marketing, etc.)

About Us

Tim Gan Math Learning Centre, established in 2017, is dedicated to empowering Secondary and Junior College (JC) students in mastering Mathematics. We pride ourselves on offering high-quality resources, effective teaching methods, and consistent feedback to help students achieve their academic goals. Our in-house materials are designed by highly qualified curriculum specialists and former MOE Mathematics teachers, ensuring students receive the best support possible.

Position Overview

We are seeking a passionate and experienced Mathematics Tutor to teach O-Level Elementary Mathematics (E Math) and Additional Mathematics (A Math). This part-time or freelance position offers the flexibility to work with small hybrid groups (up to 10 students, both online and in-person).

As a Mathematics Specialist, you will play a critical role in shaping students' understanding of Mathematics and providing tailored guidance to help them excel academically.

Key Responsibilities

• Deliver engaging and effective lessons aligned with the Singapore O-Level E Math and A Math syllabus, using our in-house curriculum and teaching materials.
• Create supplementary resources (e.g., worksheets or assessments) to address students' specific learning needs.
• Manage a small hybrid classroom of up to 10 students, ensuring an inclusive and productive learning environment.
• Track and evaluate students' progress, providing actionable feedback to support their improvement.
• Maintain clear communication with parents to update them on their child's progress and keep them informed.
• Foster positive relationships with students, parents, and colleagues, contributing to a collaborative and respectful workplace.

Requirements

• Education: Bachelor’s degree, preferably in Mathematics or an education-related field. NIE/MOE-trained candidates will have an advantage.
  
• Experience: Minimum of 3 years of teaching experience in O-Level E Math and A Math (public or private sector). Strong familiarity with the Singapore O-Level Mathematics syllabus.
  
• Skills: Excellent command of written and spoken English. Proven ability to deliver effective and engaging lessons in a hybrid learning environment.
  
• Availability: Able to teach on weekday evenings and/or weekends. Committed to teaching for at least one academic year.
  
• Personal Attributes: Professional, reliable, and respectful in all interactions. Passionate about teaching and helping students succeed.
  

Why Join Us?

• Competitive pay ($70–$150/hour).
• Opportunity to work with a reputable and forward-thinking learning centre.
• Access to high-quality teaching resources and a supportive team of educators.
• Flexible schedule suited to part-time and freelance commitments.

Ready to inspire and make a difference in students’ lives? Join us at Tim Gan Math Learning Centre and help shape the future of Mathematics education.

How to Apply

Submit your resume and a brief cover letter to [email protected]. We look forward to having passionate educators like you on our team!

You will work closely with the Principal Investigator (PI) and research study team members in the development and validation of a new psychometric instrument aimed at measuring multimorbidity within a primary healthcare setting. This instrument will be integral to facilitating better patient care and informing primary healthcare interventions and policies.

• Collaborate and assist in the design and development of a new robust psychometric instrument, or the validation of an existing one, for measuring multimorbidity.
• Collaborate with study investigators to define key constructs and dimensions of multimorbidity.
• Develop survey items and scales that accurately capture the localised complexities of multimorbidity in a primary healthcare setting, adapting from existing measures and methodologies.
• Perform pilot testing and statistical analyses to evaluate validity and reliability of the instrument(s).
• Present findings and recommendations to study team
• Provide training and support to study team members on the use of the psychometric instrument(s).

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

Are you ready to inspire the next generation of mathematicians?

Join a thriving educational environment where your expertise in Secondary A/E Math can transform students' futures.

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: We handle the logistics, so you can focus on showcasing your skills.
• Direct Communication: Receive timely updates and guidance.
• Personalized Advice: Maximize your strengths with our expert insights.

Job Description & Responsibilities:

• Plan and deliver engaging A/E Math lessons aligned with the Singapore curriculum.
• Develop lesson plans and assess student progress to help them excel.
• Provide constructive feedback and personalized support to enhance learning.
• Contribute to curriculum development and collaborate with colleagues.
• Manage classroom activities and maintain a positive learning environment.

Job Requirements:

• Degree in Mathematics or a related field.
• At least 1-2 years of teaching experience in Secondary Math, preferably in Singapore curriculum.
• Strong mathematical knowledge and a passion for helping students love math.
• Effective communication, classroom management, and motivational skills.
• Patient, adaptable, and able to address varying levels of math proficiency.
• Comfortable working independently and in team settings.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Take the leap to make math meaningful and fun for students.

Apply now to be part of a team shaping academic success and character excellence!

EA Registration No.: R23111820 (Ben Chang)

EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Do you have the expertise to ignite curiosity in young minds?

Step into a dynamic teaching role where your Science knowledge becomes a gateway to discovery!

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: Focus on showcasing your talents while we handle the rest.
• Direct Communication: Stay informed and guided at every stage.
• Personalized Advice: Position your strengths effectively with our expertise.

Job Description & Responsibilities:

• Conduct engaging Science lessons (Physics and Chemistry) tailored to Secondary-level students.
• Prepare lesson materials, worksheets, and experiments to deepen understanding.
• Evaluate student progress through assessments and provide constructive feedback.
• Contribute to the continuous improvement of the Science curriculum.
• Foster a stimulating and inclusive learning environment.

Job Requirements:

• Degree in Science or a related field, specializing in Physics and/or Chemistry.
• At least 1-2 years of teaching experience in Singapore’s Secondary Science curriculum.
• Ability to communicate complex concepts effectively and engagingly.
• Strong classroom management skills and a student-centered approach.
• Energetic, adaptable, and dedicated to inspiring a love for Science.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Bring Science to life and inspire young learners to explore the wonders of the universe.

Apply today to make an impact that lasts a lifetime!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

We are an equal-opportunity employer and value diversity among our teachers, staff and students.

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders.

We are an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

One World International School is committed to safeguarding and promoting the welfare of the children. We are committed to recruiting candidates who share this commitment to safeguarding. Before an offer is given, candidates will undergo child protection screening and will be required to provide a Police Verification Check from their country of residence.

If you are looking to work with enthusiastic students from around the world, we invite you to submit your application and become part of our dynamic school community. At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse nationalities.

OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders. We're an IB Primary Years Programme (PYP) World School and a Cambridge International School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

Overall Responsibilities:

To teach and educate students according to guidelines provided by the school's curricular programmes.

Includes the below but not limited to :

• Teach related subjects of Global Perspectives and Psychology across the whole age range, including Secondary IGCSE and IB Diploma.
• Design, prepare and deliver lessons to teach basic knowledge, techniques, support and enhance learner's understanding of the subject.
• Assess and monitor the progress of the learners and set goals for improvement, including writing students reports and attending parent meetings.
• Take up extra-curricular activities. Be a part of school events, assemblies and staff trainings, meetings, etc.
• Promote the health and safety of assigned classes.

Requirements:

• Minimum two (2) years or more relevant full-time teaching experience as a qualified teacher ( is a must). Teaching qualification certificate is required.
• Must have strong knowledge and experience of subjects for Secondary IGCSE and IBDP level.
• Experience in an international school environment (preferred).
• A passionate educator with the ability to deliver inquiry based learning.

Working Location: Jurong West (Nanyang Campus)

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow in Theoretical Polaritonics

Following the commencement of a new NRF CREATE project (N-GAP) and a soon to start MOE Tier 3 project (Quantum Geometric Advantage), we need to increase the capacity of our group to perform theoretical research and meet the project objectives.

Key Responsibilities:

• Conduct theoretical modelling of exciton-polariton systems
• Provide modelling of exciton-polariton networks and lattices

Job Requirements:

• PhD degree in theoretical polaritonics or related areas, with focus on the modelling of exciton-polariton lattices
• Experience in the physics of topological phases of matter, nonlinear optics, and open quantum systems
• Strong publication record

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

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

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

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

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

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

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

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

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

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

Requirements:

• Academic qualification:

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

• Work experience:Prior experience conducting systematic literature reviews
  Prior experience conducting qualitative and quantitative analysis
  Prior experience conducting meta-analysis
  Prior experience disseminating research findings targeting the general public and academic audiences
  
  
• Desirable interests, skills, and attributes:Passion for teaching and learning
  Interest in effective teaching in school settings
  Have good communication and organizational skills
  Have good interpersonal skills
  Be a good team-player, proactive, and able to work independently
  

Responsibilities:

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

Application

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

Workday Job Requisition ID: R00019323

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019323)

Closing Date

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

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 over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU Singapore’s School of Electrical and Electronic Engineering (EEE) is a leading research hub advancing semiconductor lighting and display technologies. The center focuses on high-efficiency LED lighting, flexible displays, and advanced optoelectronic devices, while pioneering materials science and nanotechnology. Equipped with state-of-the-art facilities, it collaborates with industry, academia, and government to translate research into practical innovations, emphasizing energy-efficient lighting and materials. LUMINOUS! excels in fabricating devices using high-quality semiconductor nanocrystals, including II-VI, III-V, and perovskites, driving progress in the field.

This Research Fellow position is dedicated to advancing research in materials synthesis and advanced characterization, with a focus on fabricating solution-processed QD-LEDs and lasers. The Research Fellow will lead the synthesis and characterization efforts, utilizing techniques such as SEM, TEM, and XPS, and manage project timelines, deliverables, and reports. Additionally, the role includes mentoring PhD students and junior researchers, contributing to the development of research methodologies and project execution. This position directly supports NTU's mission to drive technological innovation and academic excellence.

Key Responsibilities:

• Lead all materials synthesis and characterization aspects of the project.
• Lead fabrication of solution processed QD-LEDs & lasers.
• Perform comprehensive characterizations using SEM, EDS, TEM, AFM, XPS, and other advanced tools.
• Analyze experimental results and publish findings in top-tier scientific journals.
• Manage project deliverables, timelines, and reports.
• Mentor PhD students and junior researchers, supporting their development in research methodologies and project execution.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Physics, Materials Science or a closely related field.
• Expert in materials synthesis and characterization including quantum dots (QDs), nanoplatelets (NPLS), etc.
• Strong expertise in advanced characterization including SEM, EDS, TEM, AFM, XPS, surface profiling, etc.
• Strong understanding and experience in development of solution processed QD-LEDs & lasers.
• A robust publication record in high-impact journals is highly desirable.
• Excellent written and verbal communication skills.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

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:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

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

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

The National Institute of Education invites suitable applications for the position of Research Fellow on a 6-month contract at the Natural Sciences and Science Education Academic Group Department.

Project Title: Sn-based alloy-carbon nanoassemblies for sodium-ion batteries using plasma-based sustainable technologies (RI 7/22 RSR )

Project Introduction: Sustainability of lithium-ion batteries in long run, as major energy storage system, is not possible due to limited resource of lithium and increasing cost. Hence, focus on sodium-ion batteries (SIBs) is increasing as sodium is abundantly available at much lower cost. The biggest challenge for SIBs is to find suitable anode material with appropriate sodium voltage storage, large reversible capacity, and high structural stability. Moreover, the synthesis process of anode material needs to be cost, time and energy efficient. It is hypothesized: (i) Carbon (GraphiticCarbon/Graphene/GrapheneQuantumDots = GC/G/GQD) encapsulated nanostructured-tin (ns-Sn), i.e. GC/G/GQD@ns-Sn, as anode in SIBs will accommodate volume change, prevent formation of excessively thick SEI layer, and avoid pulverization leading to enhanced capacity, capacity retention and stability. (ii) Plasma based strategy, as against wet chemical approach, can provide sustainable environmentally friendly synthesis of GC/G/GQD@ns-Sn with better energy-, time- and cost- efficiency. Specific aims are: (i) to develop and optimize the plasma based sustainable synthesis of integrated hybrid 3D GC/G/GQD@ns-Sn anode in core-shell configuration, and (ii) to develop and test industry relevant SIB prototype using the most optimized carbon-Sn combination and bench mark its capacity, efficiency, cycling and stability. Synthesis of ns-Sn onto suitable 3D foam substrate using plasmas will be achieved first. Afterwards, GC/G/GQD will be encapsulated onto ns-Sn using plasma strategy to form GC/G/GQD@ns-Sn. Structural, compositional, morphological properties of electrode material along with their detailed electrochemical characterization and performance analysis will be conducted to achieve best battery performance.

The Research Fellow hired for this project at NIE will work on synthesis and optimization of GC/G/GQDs@ns-Sn as anode electrode material using plasma based dry process. He/she will also be responsible for the characterization (SEM, EDX, XRD, RAMAN, TEM, XPS etc) and performance evaluation (using battery tester and electrochemical workstation) of the anode electrode material.

Requirements:

Essential

• A PhD in Physics or Engineering with a strong background in low-temperature processing and synthesis of materials.
• Strong experience in development, operation and optimization of various plasma devices and associated diagnostics.
• Strong experience on energy storage materials for sodium ion batteries.
• Expert on using various material characterization facilities SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Expert on using electrochemical workstation and battery tester with experience on electrochemical performance analysis of batteries.
• Good written and verbal communication skills with evidence of proven writing skills from research papers and research reports.
• At least 5-year of experience on plasma devices and material characterization tools.

Preferred

• Good knowledge of lab safety issues
• Good organizational skills
• Able to work within given deadlines with an eye for details
• Able to work independently with minimum supervision
• Able to supervise Ph.D. candidates

Responsibilities

• Operationalize and optimize low-temperature radiofrequency PECVD system for processing and synthesis of battery electrode material.
• Perform relevant plasma diagnostics such optical emission spectroscopy to estimate plasma parameters.
• Perform various material characterizations using SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Perform electrochemical performance testing and analysis and battery tester with experience on electrochemical performance analysis of batteries.
• Write research reports and papers.
• Other related duties as assigned by the Principal Investigator

Application

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

Workday Job Req ID: R00019322 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Natural-Sciences-and-Science-Education-Department--NIE-_R00019322)

Closing Date

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