Center for Leadership and Cultural Intelligence (CLCI) at Nanyang Business School, is seeking a suitable candidate for the position of Research Associate. The Research Associate will be part of a dynamic team of researchers involved in spearheading high-impact research on leadership and cultural intelligence. In addition, this role offers great opportunities for acquiring research skills and capabilities.

Key Responsibilities:

• Design and manage data-collection, including set-up and administration/coordination of surveys and field interviews
• Collate quantitative and qualitative survey data and managing the database
• Conduct literature review and data analyses
• Present information in both visual and written formats

Job Requirements:

• Master’s Degree, preferably in Psychology
• Proficient in Microsoft Office (e.g. Word, Excel, Powerpoint) and other data visualization software (e.g., Tableau)
• Proficiency in statistical packages (e.g., R, SPSS) will be an advantage
• Detail-oriented, meticulous and able to work independently under time pressure
• Excellent interpersonal skills

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

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

We are looking for a research associate to work on the development of an AI-power capsule endoscope that emulate a human eye for tracking a fast moving object.

The research associate will work on a project to conduct the investigation on development of ingestible robotic system to enable continuous monitoring of disease relevant biomarkers and decision-making for on-demand delivery of therapeutics in the gastro intestinal tract in a non-invasive and automated manner. Novel sensors and actuators as well as their circuit design interface and algorithms for will be investigated.

Key Responsibilities:

• Development of circuit for implementing FPGA and microcontroller for implementing edge computing in ingestible/implantable electronics.
• Development of AI accelerator for encryption of wireless communication in medical electronics.

Job Requirements:

• MSc in Electrical and Electronic Engineering, computer engineering, or related field
• 4-year research experience in related area
• Expertise in embedded system and FPGA
• Knowledge in interfacing circuit design for low power sensing and wireless communication
• Experiences in biosensors and actuators for biomedical applications are highly preferred
• Publication track record is an advantage
• Proficiency in basics of programming languages such as C, C++ and Python

We regret that only shortlisted candidates will be notified.

LKCMedicine seeks a Research Associate (RA) to lead innovative research in medical image processing, 3D organ reconstruction, large-scale model applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use. These tools will support clinicians and researchers, enhancing healthcare delivery. The RA will play a vital role in advancing LKCMedicine's mission of leveraging technology to improve patient outcomes and maintain the institution's leadership in medical innovations.

Key Responsibilities:

• Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
• Explore and develop the application of large-scale pre-trained models in medical scenarios, including but not limited to intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
• Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
• Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
• Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
• Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.
• Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.
• Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.
• Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.
• Write research proposals, grant applications, and contribute to the team's strategic research direction.
• Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.

Key Competencies and Education Qualifications:

• Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
• Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
• A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
• Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
• Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
• Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.
• Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.
• Familiarity with using VR/AR devices and medical visualization tools (such as Unity) for 3D software applications.
• A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.
• Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.
• Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.

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

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

The English Progamme at Nanyang Technological University seeks to hire a Research Associate/Research Fellow to contribute to a new research project on comparative theopoetics and “thing theory” in twentieth-century poetry (“Myriad Things in Theopoetics”).

Research expertise in literature and religion in at least one religious tradition is required (including, but not limited to, Christianity, Daoism, Islam, Hinduism), alongside an openness to comparative religious perspectives. The successful candidate will contribute to the development of an interdisciplinary research community at NTU through the organization of seminars and poetry readings relevant to the project, in addition to being engaged in their independent research.

Key Responsibilities:

• Conduct independent research on twentieth-century poetry (including modernist poetry) and theopoetics (with a preferable focus on T.S. Eliot, H.D., Mina Loy, and/or Louis Aragon)
• Furnish relevant reports and/or literary reviews at regular intervals
• Assist in the organization of relevant readings and seminars on poetry and (comparative) religion
• Assist in editorial work and the publication of relevant research
• Assist in any/all further administrative tasks relevant to this research project (including budget management)

Job Requirements:

• Minimally, Masters in English Studies/ Religion (with a focus on literature)
• Applicants with PhD preferred
• Other PhD/Master degrees relevant to the research project may also be considered

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

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are looking for a a research associate position to advance the understanding of chirality in hybrid organic-inorganic materials using cutting-edge Transmission Electron Microscopy (TEM) techniques. The role will focus on investigate the mechanisms of chirality transfer, characterize chiral structures, and explore their functional properties to develop next-generation materials for optoelectronics and spintronics.

Key Responsibilities:

• Chirality Transfer Mechanisms
  Study how chiral organic ligands influence the structural and electronic properties of hybrid frameworks.
• Material Synthesis and Preparation
  Develop solution-based methods for synthesizing chiral hybrid structures.
  Investigate material-based chirality transfer mechanisms, such as mesoporous silica templating.
• TEM Characterization
  Perform high-resolution TEM and selected area electron diffraction (SAED) to elucidate atomic structures and symmetry.
  Conduct energy dispersive X-ray spectroscopy (EDX) for compositional analysis.
• Collaboration and Dissemination
  Collaborate with interdisciplinary teams and publish findings in peer-reviewed journals.

Job Requirements:

• Masters in Material Science Engineering
• At least 3 years of relevant experiences in TEM / technical hands-on experience in operating electron microscopes
• Familiarity with wet lab skills, electron microscopy and sample prep
• Good written and oral communication skills
• Competent in soft skills / information visualization, interaction design
• Interpersonal skills

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

School of Art, Design and Media is looking for a candidate to join them as a Research Associate.

This is a unique opportunity to engage in cutting-edge research that blends art, technology, and cultural exploration, shaping the future of immersive storytelling. We are offering an exceptional opportunity for an individual who is passionate about urban research, local communities and discovering new sites in Singapore.

Key Responsibilities:

• Project coordination and organization
• Conduct thorough data collection through various research methods.
• Coordinate and organize field research activities.
• Ensure efficient communication and collaboration among team members.
• Field Research and Location Scouting in Singapore
• Collaborate with team members to prepare and organize workshops.
• Overseeing the Recording of Interviews

Job Requirements:

• Master's degree in a relevant field.
• Previous experience in research, data collection, and analysis.
• Strong organizational and coordination skills.
• Excellent communication and teamwork abilities.
• Familiarity with workshop preparation and facilitation.
• Proficient in recording and documenting research interviews.
• Familiar with local communities and sites in Singapore

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

Responsibilities:

1. Develop distributed artificial intelligence systems and deploy them on large-scale clusters or clouds.
2. Develop and optimize algorithm systems from specific scenarios and problems, and produce solutions applied to the scenarios.
3. Participate in the integration design and optimization of artificial intelligence technology and existing tools to improve product performance.
4. Write high-quality scientific papers and have the opportunity to serve as the first author of important papers.

Requirements:

1. Proficient in TensorFlow/PyTorch, Ray/DeepSpeed/NVIDIA Megatron, and familiar with the internal operating mechanisms of these systems.
2. Familiar with various optimization algorithms and model architectures, proficient in Python or C++ optimization algorithm libraries, including various classical algorithms and models based on gradients (BERT, GPT-3, Swin Transformer, ViT, MLP-Mixer).
3. Familiar with SaaS, architecture, compilers, networks, CUDA, and other related knowledge or have relevant project experience.
4. Strong programming and engineering implementation abilities. Those who have won programming competition awards or published high-quality papers will be given priority in recruitment.
5. Bachelor's degree or above from 211, 985, or overseas well-known universities, majoring in computer science, software engineering, electronic information, automation, mathematics, physics, or other artificial intelligence-related majors.

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

We regret that only shortlisted candidates will be notified.

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

We regret to inform 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.

We are looking for a Senior Research Fellow to conduct to achieve our KPIs, such as publishing papers and presenting findings in conferences, proposed for the research projects in the Saheki lab at LKCMedicine. The role will focus on the overall successes of the ongoing projects, in particular the ones require iPSCs or C. elegans, in the Saheki lab. Our lab is built on diversity, mutual respect, teamwork, and collaboration, with a special emphasis on providing mentorship for young talent, including students and postdocs. We will provide exciting opportunities and vibrant atmospheres as well as state-of-arts core facilities. We also offer a highly attractive remuneration package including competitive salary and fringe benefits. Excited and motivated individuals are all encouraged to apply.

Responsibilities:

• Carry out an independent research project and collaborate with other researchers.
• Supervise junior members of the lab, including graduate students and undergraduate interns.
• Keep a log of lab materials as necessary (e.g., cell lines, plasmid DNAs, proteins, C. elegans strains, and other essential reagents).
• Present research at lab meetings and national/ international conferences.

Skills and qualifications:

• Candidates should have a PhD or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills.
• Self-motivated and well-organized with good communication and technical skills.
• Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro reconstitution) is essential.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

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

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A PhD degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

Temasek Laboratories@NTU is looking for a candidate to join them as a Research Scientist.

Key Responsibilities:

• The candidate will be expected to conduct research in digital signal processing and array signal processing, with a focus on signal source separation in single and multi-channels, the use of Reconfigurable Intelligent Surface (RIS) for source localization and separation, as well as RF radar processing.
• The candidate will be responsible for both the theoretical development of methods and experiment design to validate the developed methods.
• Other research responsibilities include co-supervising junior researchers, interns and students; conducting detailed literature review and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management and other tasks related to being a member of Temasek Labs@NTU.

Job Requirements:

• PhD in Electrical & Electronics Engineering or related fields. Entry level candidates will be considered.
• Strong background and knowledge in modern RF communications/ digital signal processing /array signal processing.
• Proficiency in algorithm development and programming skills, particularly with MATLAB.
• Familiarity with Ettus USRP devices, GNU Radio/Labview programming is an advantage.
• A good publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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 28-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Examining the adaptability of Singapore Physical Education teachers: A case for the future of teaching

Project Introduction: Adaptability is the capacity to effectively react and respond in constructive ways to situations that can be characterized by change, novelty and uncertainty. In this programme of work, the tripartite model of adaptability will be used to examine Singapore Physical Education (PE) Teachers’ level of adaptability. The model involves cognitive, behavioural and emotional adaptability and refers to how an individual’s thinking, behaviour and emotions can be modified. In the context of PE teachers, the subject of PE is underpinned by a high level of variability and dynamism of the teaching environment as well as interaction among students and the PE teacher (e.g., physical classroom, CCA, outdoor education, values-based education). Unlike other subjects, the teaching and learning situation can transit quite quickly and there is greater uncertainty on the emergence of students’ learning behaviours as they interact with the learning task and environment.

In this programme of work, the research team would build on their previous research experiences and track records to i) examine how adaptable Singapore PE teachers are (Phase 1), ii) the factors that could impact the level of adaptability (e.g., perceived autonomy support, socio-demographic variables, resilience, and creativity) (Phase 1) and iii) if PE teachers with higher adaptability levels are more inclined to adopt innovative pedagogical practices (Phase 2).

Requirements:

• Bachelors Degree
• Experience in undertaking research pertaining to examining impact of intervention studies in the Singapore school context
• Competent in data science and statistics
• Competent in using R or Matlab
• Experience in conducting surveys and focus group discussions
• Responsible and hardworking

Responsibilities:

• Manage the research project
• Data collection
• Collecting, collating and analyzing data
• Prepare reports and papers together with the Principal Investigator
• Assist in general administrative support work
• Any other 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: R00019423 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Teacher-Education---Undergraduate-Programmes---NIE-_R00019423)

Closing Date

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

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

We regret to inform 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. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

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 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.

Temasek Laboratories@NTU is looking for a candidate to join them as a Senior Research Scientist.

Key Responsibilities:

• The candidate will be expected lead and conduct research in urban sensing, specially the detection, localization and classification of active and passive targets via wireless RF signals in harsh urban environments.
• The candidate will be responsible for both theoretical development of methods and experiment design to validate the developed methods.
• Additional research responsibilities include supervising junior researchers, interns, and students; conducting detailed literature review and assessment of the state-of-the-art technologies; planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management, and other duties as required.

Job Requirements:

• PhD in Electrical & Electronics Engineering or a related fields
• Strong background and knowledge in modern RF communications/ digital signal processing particularly in wireless communications and RF Array processing, with at least 10 years of research experience.
• Proven track record in research and development of algorithms.
• Proficiency in algorithm development and programming skills using MATLAB or Phyton.
• Knowledge of machine learning or deep learning techniques.
• Familiarity with Ettus USRP devices, GNU Radio/LabVIEW programming is an advantage.
• Strong publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

To develop microfluidic-based vascular platforms for atherosclerosis, immunology and extracellular vesicles research. Responsibilities include but not limited to microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant writing, supervision of PhD students etc.

Key Responsibilities:

• Work on a project to develop novel microfluidics and organ-on-chip platforms
• Perform research related to diabetes, atherosclerosis and peripheral arterial diseases
• Perform in vitro drug testing using microfluidics and in-vitro assays
• Fabrication and validation of microfluidic devices using cell lines, blood and clinical samples.

Job Requirements:

• Interested candidate should possess a PhD degree qualification in biomedical engineering, vascular biology or a relevant biological discipline. We seek a motivated individual who can work well independently as well as with a team. He/she is preferred to have:
• Experiences in organ-on-chip and/or vascular biology research
• Experiences in basic cell and molecular biology techniques (mammalian cell culture, PCR, RT-PCR and ELISA), microscopy and flow cytometry
• Experiences in immunology or extracellular vesicles is an advantage
• Strong publication track record

We regret to inform 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.

The Research Fellow will join a new research group at NTU developing miniaturized medical imaging technology.

Key Responsibilities:

• Lead the engineering of new optical technologies and approaches for translational medicine and biology
• Initiate new multidisciplinary collaborations with scientists, engineers and clinicians
• Supervise junior researchers and interns in the laboratory
• Propose new research directions and seek funding opportunities through grant proposals

Job Requirements:

• PhD in Electrical/Optical/Mechanical/Biomedical Engineering or relevant specialty
• Experience (3+ years) in optical instrumentation involving microscopy/imaging or light sources
• Strong record of first-authored research work (manuscript in review is acceptable)
• Experience with student supervision is a plus but not required

We regret that only shortlisted candidates will be notified.

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

We are looking for a Research Fellow to support the research for the project titled: Resistive Memory Endurance Enhancement Utilizing Smart Mitigation and Recovery Techniques.

Key Responsibilities:

The Research Fellow will work on the assigned project to conduct the research on development of resistive circuits design. The candidate must have good experience in the areas listed below, possesses excellent skills. The roles of this position include:

• Development of robust resistive circuits design
• Test chip design and layout
• Good testing skills

Job Requirements:

• PhD degree in Electrical and Electronic Engineering or related field
• Expertise in resistive memory circuits design
• Excellent publication track record is an advantage
• Test chip design and testing experience are advantages
• Excellent verbal and written communication skills

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow in Structural Biology

We are currently seeking a Research Fellow specializing in structural biology at SBS. The ideal candidate should possess technical expertise and knowledge in mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination. Additionally, the candidate will provide leadership, effective communication skills, and mentorship to students within the team.

Key Responsibilities:

• Conduct research in structural biology, with emphasis on mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination.
• Provide leadership, communication skills, and mentorship to students working in the team.

Job Requirements:

• PhD in a relevant field.
• Extensive technical experience and knowledge in mycobacterial proteins, cultivation of mycobacteria, and structural biology.

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

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

We regret that only shortlisted candidates will be notified.