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 Research Fellow with experience in working with polymer foams, composites and flame retardant materials in general.

Key Responsibilities

• Work within the framework of the project to achieve and go beyond the project objectives.
• To understand and improve the fire performance characteristics of polymer foams that are used for construction applications.
• To interact and closely work within a multi-disciplinary and multi-cultural team.
• Expected to display a very high degree of professional ethics
• Understand the safety issues while working with polymers and fire protection materials

Job Requirements:

• A PhD in relevant engineering or science disciplines is required;
• Relevant experience (flame retardant materials, understand of urethane chemistry, foams, testing of fire retardancy, etc.) is significant advantage.
• The candidate is expected to be an expert in the handling/processing of polymers, foams and/or fire retardancy.
• The candidate is required to understand insulation mechanisms, and work towards project goals within the timeframe of the project.
• Flame retardancy background is considered as a huge positive.

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

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
• Development and implementation of neuroimaging data analyses pipelines
• Conduct analysis of data and summarise research findings
• Development and implementation of data transfer and curation protocols
• Liaise with other workgroups on data management and multi-modal analyses

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Advanced signal processing and programming skills (e.g. with Matlab, Python)
• Experience with neuroimaging techniques (MRI, EEG and/or TMS).
• Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc.
• Experience with statistical packages, especially R and SPSS
• Good statistical knowledge and skills
• Good IT skills (i.e., Microsoft Office®)
• Strong ability to work within a multidisciplinary team
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines

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

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will innovate Optical and Metasurface Design.

Key Responsibilities:

• Responsible for optical system design and development for metasurface based SLM 3D Holograph Display, Near-Eye Display, Virtual Reality and Augmented Reality etc. applications.
• Good experience on optical lens and system (e.g. Metalens) design
• Research meeting arrangement with project PIs and researchers
• Perform and analyze material/optics characterization
• Prepare monthly reports and presentations for meetings and project deliverables.

Job Requirements:

• A Master degree in the areas of Optical Engineering and/or Photonics devices and System.
• Knowledge and/or experience in using optical simulation tools such as Zemax, CodeV etc.
• Good interpersonal skills with the ability to work independently and also in a team environment.
• Entry level candidates are welcome to apply.

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. 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.

This project will be on recycling of spent lithium ion batteries.

Key Responsibilities:

• Scoping studies on recycling of lithium- ion batteries and circular economy potential in Singapore
• Experimental techniques for upcycling metals
• Synthesis and characterization of battery materials and fabrication. Precipitation, characterization and purity analysis of products by various characterization techniques
• Carry out optimization of the equipment and SOP of various processes for batteries
• Prototyping activities including proof of concept demonstration of successful processes
• Responsible for project goals, deliverables, and objectives of the company project
• Preparing and delivering Meeting presentations, notes, updates, and reports as per the request of the project

Job Requirements:

• Possess at least a Bachelor’s degree in Materials Science/Engineering or related disciplines.
• Experience in working on battery systems , Recycling
• Synthesis of new cathode and anode materials for batteries
• Wide knowledge of different synthesis methodology for various materials
• Expertise in materials characterization techniques including ICP-OES, XRD, SEM, TEM, spectroscopic techniques,
• Knowledge of electrochemical studies, including such as electrodialysis, electrodeposition, galvanostatic, potentiostatic, impedance techniques
• An effective team player with good communication & interpersonal skills
• Ability to work in a team as well as independently without supervision
• Able to work under pressure and meet tight deadlines
• Good interpersonal skills.
• Good communication and writing in English - for research purposes
• Strong responsibility for research / work

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.

We are looking for a highly motivated candidate to join us as a research fellow to facilitate the research program in the development of next generation steels funded by Singapore National Research Foundation led by Nanyang Assistant Professor Yi-sheng (Eason) Chen.

Key Responsibilities:

• Support the delivery of project goals
• Conduct high-quality research and disseminate outcomes in peer-reviewed journals and academic conferences
• Participate in supervising undergraduate and postgraduate researchers
• Collaborate with local/overseas research groups
• Establish one or more independent research programmes under the guidance of PI and other senior mentors
• Develop competitive funding proposals in collaboration with PI and other senior colleagues
• Engage in teaching undergraduate and graduate courses and contribute to curriculum development and pedagogical innovation
• Contribute to the development of international and local research communities
• Support the operation of PI's research group, including recuitment and external engagement
• Engage in developing and mainting a safe and inclusive work environment

Job Requirements:

• PhD in Materials Science or related fields
• Excellent proven skills in the fields of physical metallurgy and materials characterization
• Excellent communication skills and the ability to transmit research results into published research outcomes.
• Knowledge and experience in one or more of the following techniques: transmission electron microscopy (TEM), electron backscatter diffraction (EBSD), transmission Kikuchi diffraction (TKD), atom probe tomography, and associated sample preparation techniques including focused ion beam (FIB).
• Ability to work independently and to communicate effectively with team members
• Ability to work effectively under pressure to meet research deadlines
• Ability to work collaboratively with academic and industry partners
• Sound working knowledge and acute awareness of safety regulations and operating procedures within the laboratory environment.

We regret that only shortlisted candidates will be notified.

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct cutting-edge research in large language models, translating theoretical algorithms, frameworks, and methodologies into practical, working prototypes that demonstrate potential product applications.
• Collaborate closely with researchers and engineers to design and implement system architectures and software solutions that transition research findings into scalable, deployable products.
• Develop and build tools and frameworks to facilitate the transfer of LLM capabilities to industry partners, showcasing the practical value and impact of the research outcomes.
• Create and maintain comprehensive technical documentation, including white papers, presentations, and tutorials, to disseminate knowledge to a broader audience and enhance overall expertise in these emerging areas.
• Engage with international research communities and partners to stay abreast of the latest advancements in machine unlearning, contributing to discussions, collaborations, and initiatives that elevate Singapore’s position in the global AI and privacy research landscape.

Job Requirements:

• Minimum Masters’s degree in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques, including knowledge graphs, machine unlearning, and AI testing.
• Proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a must.
• Experience with version control systems (e.g., Git) and collaborative development tools.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Experience in AI model testing methodologies, including robustness, fairness, and explainability assessments, as well as understanding data privacy and security considerations in AI.
• Good understanding of relational database and Unix shell scripting skills.

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

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow will take on a significant role to contribute to the design, computational modelling, and experimental synthesis of oligosaccharides, glycopeptides, and glycoproteins. The position aims to advance the synthesis and computational simulation of functional molecules, while enhancing the research profile and reputation of NTU.

Key Responsibilities:

• Conduct synthetic experiments on the research project related to glycoprotein/peptides for bacterial metabolic labelling.
• Perform computational simulations on cyclic and acyclic glycopeptides.
• Conduct independent research and publish in reputable academic journals.
• Mentor junior PhD students and undergraduate students.
• Lead scientific projects related to carbohydrate chemistry and peptide synthesis.
• Communicate research outcomes through written reports, publications, and presentations to audiences.
• Ensure compliance with health and safety protocols in laboratory settings.

Job Requirements:

• PhD in Chemistry or a related field, with a strong publication record (graduated within the past 5 years).
• Proficiency in carbohydrate chemistry; experience in peptide/protein synthesis is a plus.
• Experience in computational design and experimental synthesis.
• Good writing and communication skills.
• Ability to work independently and in a collaborative, interdisciplinary research environment.

We regret 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.

Join the laboratory of Zhongjian Wang at SPMS. We are seeking a Research Fellow to contribute to a project focused on machine learning, seismic imaging and monitoring of the Lumut Balai geothermal field in Indonesia.

Key Responsibilities:

• Seismic data collection, processing, and analysis, specifically for the Lumut Balai geothermal field, Indonesia
• Developing new seismic imaging techniques to reveal detailed subsurface structures at 0-10 km depths. The techniques will be then integrated with modern machine learning technology
• Applying novel earthquake location methods to monitor microseismicity in the Lumut Balai geothermal field
• Publish high-quality scientific results in Tier-1 journals

Job Requirements:

• PhD degree in Geophysics, Mathematics, Physics, or related areas, with focus on seismic imaging
• Experience in inverse problems, seismic data analysis, and geological interpretation
• Proficient in coding languages, such as C, C++, Fortran, and Python.
• Strong publication record
• Entry level candidates are welcome to apply

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 School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow. The Research Fellow will be working on high-resolution imaging, bioimaging and metrology projects at the centre.

Key Responsibilities:

• Expected to work with the PI and other team members for doing R & D and take key role for the development of the systems for bioimaging and metrology
• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators
• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings, and contribute to the external visibility of the centre.
• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Job Requirements:

• PhD in Optical Engineering, Biomedical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics and instrumentation background
• Previous experience in high-resolution imaging, bioimaging, optical measurements, metrology, spectroscopy, hyperspectral imaging (HSI), and machine vision are desirable
• Expertise in handling and maintenance of high power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable
• Possess good programming, optical instrumentation, automation and image processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)
• Proven publication track record would be an advantage

We regret that only shortlisted candidates will be notified.

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.

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). 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.

We are seeking a Postdoctoral Research Fellow to contribute to a project focused on using neural network quantum states and advanced machine learning algorithms for simulating realistic microscopic Hamiltonians for quantum spin liquid phases and other frustration driven quantum phases in interacting spin systems, that cannot be efficiently simulated using conventional numerical approaches.

Key Responsibilities:

• Construct realistic microscopic model Hamiltonians relevant to real quantum magnets that can host quantum spin liquid states, focusing on Kagome lattice antiferromagnets and the Kitaev model
• Use neural network quantum states with deep artificial neural network architectures to simulate such Hamiltonians
• Construct experimentally observable properties of quantum spin liquid states
• Collaborate with experimentalists to identify signatures of spin liquid states in candidate materials
• Extend to other frustration-driven novel quantum phases

Job Requirements:

• Ph.D. in Physics or related field
• Knowledge of quantum many body physics and quantum phase transitions
• Familiarity with neural network quantum states and artificial neural networks
• Experience in collaborating with experimentalists
• Proficiency in computational methods

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.

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.

We are seeking a Research Fellow to work on developing quantum algorithms for simulating quantum many body systems, focusing on topological phases in quantum spin systems.

Key Responsibilities:

• Develop quantum algorithms to measure non-local order in quantum many body systems
• Construct shallow quantum circuits to implement the quantum algorithms using software development kit, e.g., Qiskit
• Perform error analysis of algorithm developed and optimize for qubit and gate noise
• Use the algorithm developed to simulate microscopic Hamiltonians for complex many body systems that cannot be efficiently simulated on classical computers, focusing on topological phases in quantum spin systems
• Implement on quantum hardware

Job Requirements:

• Ph.D. in Physics or related field
• Knowledge of quantum many body physics and quantum phase transitions
• Familiarity with quantum information theory
• Experience in developing quantum algorithms
• Proficiency in computational methods

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.

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

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

First Konnection – The Authorized Education Recruitment Specialist for this Role

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

Job Description & Responsibilities:

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

Job Requirements:

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

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

Apply today to make an impact that lasts a lifetime!

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

The Nanyang Business School (NBS) is recruiting a Research Scientist / Research Associate (Part-Time) in the area of data protection law and data privacy.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance structures and frameworks
• Other research administrative tasks

Job Requirements:

• Master in Law with extensive experience in research and/or in data protection law
• Strong communication and interpersonal skills
• Organised and meticulous
• Capable of following instructions meticulously

About Nanyang Business School

One of Asia’s leading business schools, the College of Business (Nanyang Business School), CoB (NBS) at NTU Singapore is committed to nurture talents by adapting to the fast-evolving business environment and developing leaders for today and tomorrow. We embrace the connection between business, technological innovation, and entrepreneurship while maintaining a strong focus on sustainability. This is evident in our inter-disciplinary and industry-relevant education and research.

We are a leading research-powered business school focusing on business education in a technology-driven world. Taking a principled, evidence-based, and inter-disciplinary approach, we produce top-notch and impactful research to tackle world-scale challenges, advance business theories, and enhance management practice.

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

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

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

First Konnection – The Authorized Education Recruitment Specialist for this Role

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

Job Description & Responsibilities:

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

Job Requirements:

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

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

Apply today to make an impact that lasts a lifetime!

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

We are looking to appoint a full-time Research Associate (History) at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will be part of one of a collaborative team of researchers based in NTU’s History Department working on the history of environmental crises and epidemics in colonial Hong Kong led by Assistant Professor Florence Mok. The Research Associate will focus on examining how transnational networks which linked Hong Kong and other places, especially Southeast Asia, affected the development of the Cold War, which in turn influenced state’s response to different kinds of crises, political and natural.

The fellowship position is a fixed term post for 12 months, with a possibility of further extension.

About the Project

This study will make an original contribution to the political, social and environmental history of modern Asia, British colonialism and the Cold War by exploring how the colonial government and the Chinese society in Hong Kong mitigated environmental crises from 1945 to 1980, with the Cold War in the background. This is a period of historical significance: it witnessed growing policy initiatives, increased economic affluence and rising political and social consciousness. It will focus on how the state and popular responses to water shortages, in particular propaganda, were influenced by Cold War politics. The proposed study will use a traditional historical approach of examining published sources and archival manuscripts in Hong Kong and London.

Key Responsibilities:

• Examine the data collected from the Hong Kong Public Records Offices and the National Archives at Kew.
• Carry out literature survey on Hong Kong history and different theories, in particular work Cold War networks between Hong Kong and Southeast Asia, different forms of propaganda and approaches of crisis management.
• Coordinate with the History Research Fellow, the History Associate and PI, apply theoretical frameworks to the historical/archival findings.
• Use both qualitative and quantitative methods to analyse the effectiveness of the crisis management measures implemented by the colonial government in Hong Kong.
• Work with PI and turn the findings into journal articles for submission.
• Organise seminars and conferences on the research topic.

Job Requirements:

• MA/MPhil in History, specializing in post-war Hong Kong studies/the Cold War/ connections between Hong Kong and Southeast Asia.
• Knowledge in qualitative and quantitative methods and ability to analyse archival records and statistics.
• Ability to read and interpret Chinese sources, fluency in Cantonese would be advantageous as archival data collected from the Hong Kong Public Records Offices, and Chinese newspapers and mass media that we sampled would contain materials in Chinese /Cantonese.
• Excellent interpersonal skills, able to build productive relationships within the research team and beyond NTU.
• Highly self-motivated, capable of working independently as well as part of a team.

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

Application Procedure:
Please apply by submitting the following documents in Workday:

1) Curriculum Vitae

2) Cover letter of no more than 2 pages which addresses your suitability for the fellowship

3) Statement of no more than 1 page of your potential contribution to the project.

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 (RF) who will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces.

Key Responsibilities:

The key responsibilities of the Research Fellow are

• Developing 3D integral equation / boundary element method-based codes.
• Accelerating these codes with matrix/tensor decomposition-based and fast Fourier transform-based schemes.
• Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes.
• Validating these codes via canonical and real-world examples.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Applied Mathematics, or related field.
• 3 years of research experience in the related area.
• Experience in code development for integral equation/boundary element methods.
• Good publication record.
• Proficiency in C/C++ or Fortran.
• Good written and oral communication skills.

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a new interdisciplinary school at NTU, inaugurated in August 2022. Our school hosts world-class education and research programs in organic and inorganic chemistry, physical chemistry, chemical engineering, and bioengineering. We aim to nurture future-ready researchers with the ability to tackle new challenges in chemicals manufacturing, healthcare, energy, food, and other important sectors.

This position is responsible for aiding the development of new synthetic methods in the labs of Asst Prof Phillip Grant, which aim to improve the efficiency of organic synthesis.

Key Responsibilities:

• Synthetic research in organic synthesis of small molecule drug-like compounds
• Characterisation of organic compounds
• Development of new methods to synthesise drug-like compounds
• Maintenance of key instruments
• Contribution to lab duties; e.g., purchase of chemicals
• Drafting reports and papers

Job Requirements:

• A PhD in organic chemistry.
• Prior experience in synthetic methods development and/or target oriented synthesis.
• Experience in scientific writing in English
• Experience in reaction optimisation.

For more information about the Grant lab, please visit (https://www.grant-lab.org/).

We regret that only shortlisted candidates will be notified.

Centre for System Intelligence and Efficiency (CSIE) harnesses and synergises the research expertise of the School of Electrical and Electronic Engineering in the areas of control and optimization, sensing and information processing, machine learning, cyber physical systems, robotics and automation, power electronics, energy systems, and transportation systems.

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 research interests of Prof. Lee’s group fall on electric motors and drives, and novel material developments. The proposed applications include electric vehicles, robotics and AMR.

We are looking for a Research Assistant to perform research on material development. The role will focus on development, analysis, and optimization of new materials for electric motor drives.

Key Responsibilities:

The Research Assistant will work on a project to conduct the research on development of magnetic materials. The roles of this position include:

• Development of new material for electric motor drive
• Analysis of the new developed materials
• Optimization of material fabrication methods

Job Requirements:

• Bachelor in Material Science or related field
• Expertise in material development and fabrication
• Knowledge in material science
• Publication track record is an advantage
• Excellent verbal and written communication skills

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 seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces
• Develop and implement robotic control systems
• Optimization of formulation for UV 3D printing / direct ink writing 3D printing
• Contribute to ongoing soft robotics research
• Design and prototype using CAD software and 3D printing technologies
• Collaborate with faculty and other researchers on interdisciplinary projects
• Publish research findings in peer-reviewed journals and present at conferences
• Assist in mentoring students

Job Requirements:

• Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field
• Strong background in formulations for 3D printing
• Experience in soft robotics applications
• Proficiency in CAD software and 3D printing technologies
• Strong programming skills (e.g., Python, C++, MATLAB)
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience with machine learning and AI applications in engineering is advantageous

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

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 8 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ABOUT THE ROLE

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 5 years of working experience as a Software Developer/Engineer

We value the following technical skills:

• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET.
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

We also value the following soft skills:

• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal and written communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ABOUT THE ROLE

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 2 years of working experience as a Software Developer/Engineer

We value the following technical skills:

• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET.
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

We also value the following soft skills:

• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal and written communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.