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 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.

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. 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 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.

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.

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.

A Research Associate position is currently available in the Earth Observatory of Singapore (EOS).

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. It is also placed 1st amongst the world’s best young universities. The EOS at NTU Singapore is a national science Research Center of Excellence. Its mission is to conduct fundamental research on earthquakes, volcanic eruptions, tsunami and climate change in and around Southeast Asia, toward safer and more sustainable societies.

The Air Pollution and Health team's research of Prof. Steve Yim focuses on the interactions between climate and air quality, and the resultant impacts on public health and ecosystem. The team's ongoing research is to develop, advance and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and evaluate the impacts on human exposure, mosquito abundance and soil acidity.

Particular interests are in investigating air quality impacts of sectoral emissions and transboundary air pollution at multiple spatial scales, studying regional climate change due to land-use changes and global climate change, and evaluating and quantifying the effects of air pollution on respiratory and cardiovascular diseases. The team also assesses and develops emission control scenarios to provide scientific-based policy solutions for a sustainable environment in present and future years.

Key Responsibilities:

• Assess the association between interstitial lung diseases (ILD) and air pollutants in Southeast Asia
• Develop a prediction system to forecast air quality and the risk of ILD with group members
• Work on the data collection, processing, and analyses
• Help in the ground-level observations of air quality in Singapore using LiDARs. Document the results in reports
• Complete tasks that his/her supervisor assigns

Job Requirements:

• Master degree in atmospheric science/geography/meteorology/environment/ epidemiology
• Experience in statistics and basic programming such as using R or python, etc
• Evidence of excellent English language and communication skills is essential to conduct research
• Evidence of independence in research direction and team spirit

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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.

Key Responsibilities:

• To prepare and process perovskite nanomaterials.
• To operate, optimize, troubleshoot and maintain femtosecond laser systems.
• To setup and align optical beamlines/setups for transient optical spectroscopy experiments.
• To conduct ultrafast optical spectroscopy studies and nonlinear spectroscopy of novel semiconductors and emergent semiconductor nanostructures.
• To perform data analysis and data interpretation of transient optical spectroscopy experiments independently
• To assist the principal investigator with the writing of research papers.
• To assist the principal investigator with the writing of research grants.
• To assist the principal investigator in the supervision and mentoring of a small research team comprising of post-graduate students and undergraduate students.

Job Requirements:

• Candidate must possess at least a PhD Degree in Physics or Chemistry or Chemical Sciences. PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also welcome to apply.
• In addition, candidate must possess at least a BSc 1st Class/2nd Class Upper Honours Degree in Physics or Chemistry or Chemical Sciences.
• Critical Requirement: Candidate must have a Minimum 3 Years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Critical Requirement: Candidate must also have a Minimum 3 Years of Research Experience in the study of photophysics in semiconductor systems.
• Excellent knowledge in chemical synthesis, optics, photophysics of semiconductors, charge and quasi-particle dynamics, charge transfer mechanisms, femtosecond lasers, and femtosecond laser spectroscopy is essential. A written and oral test of the candidate’s technical competency of femtosecond lasers, photophysics concepts, and ultrafast optical spectroscopy basics will be conducted during the interview.
• Excellent knowledge in the optical characterization of semiconductor materials (including nanostructures) which includes transient spectroscopy (pump-probe, time-resolved PL), and nonlinear spectroscopy (z-scan and multiphoton spectroscopy).
• Evidence of prior experience with Physics modeling of charge trapping and phonon energy losses in semiconductor systems (i.e., the candidate’s previous works must be published in journals with an impact factor > 10).

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.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

We regret to inform 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.

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.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment.

In 2021, Enterprise Singapore, the national standards body for Singapore, had appointed ERI@N as a Standards Development Organisation (SDO) to develop and promote standards under the Electrical and Electronic Standards Committee. This includes standards supporting emerging areas such as renewables -offshore wind/marine & solar energy, secondary batteries and cells, solid state transformers, electrical energy storage systems, and smart grids. We also work with regulators and the industry on standards for electrical installations, building & services and safety and effectiveness of electrical products and services.

We are looking for a passionate Project Manager to support the work of the SDO.

Core expertise:

Project management responsibilities include managing the identification, development and promotion of standards meeting key requirements set by Enterprise Singapore (EnterpriseSG). These include supporting standards committees under the management of ERI@N in their standard development and promotion work to ensure timely and successful delivery of new and reviewed standards. The PM should have a background in business skills, project management, budgeting, analysis and stakeholder management. Familiarity with key technologies such as power systems, electronics, solar PV, battery systems and electrification as well as understanding of commercialization is an advantage.The PM must be detail oriented, able to multitask and demonstrate the ability to be intervene decisively and proactively.

Key Responsibilities:

Standards development

• Support standards committees to identify key areas for standards development from FY 2024 to FY 2026 which includes meetings with key stakeholders and preparing new work proposals.
• Support standards committees to develop standards within the timelines and quality requirements set by EnterpriseSG and the industry. These will include managing the preparations for meetings, capturing key comments, discussions and edits, conducting public consultations, addressing public comments, preparing draft standards for publications.
• Support the standards committee leaders in managing key stakeholders within the committee and industry with aim to build consensus and address standards implementation issues.
• Support participation of standards partners in international standardization including balloting, international meetings and hosting ISO/IEC TC meetings in Singapore.

Standards promotion

• Work with standards committees and EnterpriseSG to plan and execute standards promotions events targeting key stakeholders such as industry, government agencies and regulators, research bodies and the public. This could include standards launches, case studies, seminars and workshops. The PM is also expected to develop suitable presentation materials for these events.
• Work with standards committees and EnterpriseSG on verification studies to quantitatively evaluate the adoption of standards by key stakeholders.

SDO administration

• Assist Head, SDO and colleagues to manage the SDO budget to ensure budget marksmanship are met.
• Ensure procurement guidelines for EnterpriseSG and NTU are complied with.
• Assist Head, SDO in preparation of SDO progress reports to EnterpriseSG, the Singapore Standards Council and ERI@N management.
• Assist Head, SDO in audits concerning the operations and financial issues of the SDO.

Job Requirements:

Competencies and Qualifications

• Bachelor’s Degree in Electrical Engineering/ Computer Science / Mathematics/ Physics
• Min. Years of Experience: 3 years for project manager.
• Entry level candidates are welcomed to apply but will receive title of Project Officer.
• Certified Project Management Professional (PMP) will be an advantage
• Working Knowledge in Agile Project Delivery
• Working Knowledge in Microsoft Project, Excel, Word, Power point, SharePoint
• Experience within the utility or energy and power system industry is a strong advantage
• Excellent Stakeholder management

Added advantage:

• Experience in adopting or implementing standards
• Experience in Interactive Project Management tools like Click up, JIRA.
• Experience in document management tools like SharePoint
• Experience in R&D cross-functional New Product/Technology Introduction (NPI/NTI) programs & commercialization

Other Requirements:

• Excellent written and verbal communication skills
• An effective and efficient team player with good attitude and interpersonal skills
• Self-motivated for documentation maintenance and 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 motivated and independent Research Associate to join our team and drive innovative research in air traffic management.

Key Responsibilities:

• Assists in the development of the air traffic management tools to maintain situational awareness, decision-making efficiency, and smooth coordination when operating under the multi-sector planner operational concept.
• Implementation of back-end algorithms into a user interface suitable for validation exercise at technology readiness level 4.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge.
• Conducting original research, publishing in leading journals and conferences, mentoring junior researchers, and facilitating collaborations with industry and academic partners.

Job Requirements:

• A Master’s degree in aerospace engineering, operations research, or a related field;
• Research experience/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.

Job Description/Job Scope

1. Modeling of emerging data storage systems

2. Assist the development of channel coding algorithms and techniques

3. Implement the developed algorithms into Matlab and C/C++ software packages

Qualifications, Skills, Experience

1. A Bachelor degree in Electrical Engineering

2. Fundamental knowledge on Error Correction Coding, Digital Communications, and Signal Processing

3. Matlab and C/C++ programming skills

Job Description & Requirements

• Immediate positions!
• Good working environment
• Dynamic, energetic and outspoken personality
• 5 days work week

Job Responsibilities:

• Prepare lessons and worksheets
• Assessment of students' work
• Contribution to curriculum development

Job Requirements:

• To teach Sec Math and Science
• Preferably with at least 1-2 years of teaching experience
• Dynamic, energetic and outspoken personality
• Passionate about teaching and are constantly able to see the best in a child
• Familiar with Singapore curriculum
• Able to work on weekends

Successful candidates will be assigned to different job role depending on education level and experience.

Attractive remuneration package will be offered to the successful candidates.

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.

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 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.

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.

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.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.