The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Associate.

The Research Associate will take on a significant role in development of prototype optics/imaging system prototypes, under the SERI-NTU ADVANCED OCULAR ENGINEERING (STANCE) Program.

Key Responsibilities:

• Developing machine learning and deep learning models to address clinical challenges in ophthalmology.
• Conducting research on medical image processing and multimodal imaging using clinical systems and novel prototypes.
• Collaborating with NTU and SNEC/SERI researchers to align with research strategy and goals.
• Managing research projects and supervising students and research assistants.
• Publishing research outcomes in top-tier journals and presenting findings at academic conferences.
• Drafting reports and contributing to research management under the guidance of Principal Investigators.
• Ensuring compliance with health and safety protocols.

Job Requirements:

• Master’s degree in Computer Science, Computer Engineering, Electrical or Information Engineering, Biomedical Engineering, or related disciplines.
• Experience in Optical Coherence Tomography (OCT), software development, and OCT signal analysis is an advantage.
• Proficiency in programming and image processing tools (e.g., LabVIEW, MATLAB, Python).
• Ability to work independently and in a collaborative, cross-functional research team.

We regret that only shortlisted candidates will be notified.

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University, Singapore. The school operates from two campuses – Yunnan Campus at Nanyang Technological University and a new campus to be built at Novena. Our primary healthcare partner is the National Healthcare Group (NHG) which comprises an integrated network of primary healthcare polyclinics, acute care hospitals such as Tan Tock Seng Hospital, and national specialist centres. LKCMedicine delivers a new five-year undergraduate medical programme leading to a joint MBBS degree awarded by Imperial College London and Nanyang Technological University.

Antimicrobial drug resistance is a growing an alarming problem that poses serious challenges to the existing public health infrastructure of Singapore and of the rest of the world. Microbial pathogens are becoming more and more difficult to treat as they steadily gain partial and full resistance to last-line antibiotics.

Recalcitrant infections can add enormous costs and strains to health care systems that are already stressed. This is especially a concern in Singapore, where between now and 2030, the health care system will need to accommodate the costs associated with a population that will undergo an unprecedented age shift in which the number of residents aged 65 years or older will increase threefold. Altogether, there is an urgent need to develop new alternatives or compatible therapies to combat the growing problem of AMR.

We are currently recruiting a Research Fellow who will be working closely with Dr Kevin Pethe as part of a large interdisciplinary team.

Key Responsibilities:

The appointed Research Fellow will lead studies to evaluate the potency and pharmacokinetics of therapeutic phages in animal models of bacterial infections. The successful candidate will have the opportunity to work in a dynamic research environment with access to state-of-the-art core facilities.

• Lead research projects
• Evaluate bacteriophages in animal models of infection
• Study phages biology

Competencies and Qualification Requirements:

• PhD in Biological/Biomedical Sciences with expertise in bacteriology or infectious diseases (BSL-2).
• At least 1 years’ experience as Research Fellow
• Expertise in tissue culture, bacteriology, molecular biology and animal work

1. SUPPORT ASMI’S SUSTAINABILITY & INNOVATION COMMITTEE (SIC)

a. Promote adoption of innovation, decarbonisation and renewables within the marine sector

b. Facilitate transformation of the marine sector towards a low emissions future economy

c. Manage meetings of the SIC

2. ADVANCE MARINE DECARBONISATION

a. Administer the Marine Decarbonisation Champions (MDC) Programme

b. Organise MDC collateral activities

c. Engage external stakeholders including government agencies towards programme objectives

3. ORGANISE THE MARINE AND OFFSHORE (M&O) SYMPOSIUM

a. Coordinate and manage the annual industry thought leadership event

b. Showcase innovative efforts and initiatives in the marine sector

c. Engage ASMI members and other external stakeholders towards symposium objectives

4. GENERAL ADMINISTRATION

a. Support Grant writing for LEAD Programme for the Association (Primarily for the ITM Phase Two on Innovation and Sustainability)

b. Any other initiatives relating to industry development

c. Provide support to other ASMI events and activities as and when required

d. Undertake special projects and ad-hoc duties as and when assigned

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

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

ERI@N invites applications for the position of Research Fellow.

Key Responsibilities:

• Specific precipitation
• Liquid-liquid or Liquid/solid extraction
• Simulation of scaled up process.
• Design of continuous process based on the most interesting systems for the selective recovery of the metal ions of interest
• Implementation of the process at pilot scale (~10 L/h or larger) to demonstrate its feasibility and to give first hints for cost analysis from the perspective of development at industrial size
• Development, characterization and scale up of innovative hydrometallurgy-based separation processes from e-waste leaching solutions

Job Requirements:

• PhD in chemical engineering / chemistry
• Candidate with strong background on chemical separation processes, especially hydrometallurgy ones.
• Good record of publications and IPs
• Experience with lab set up or prototype development
• Familiar with chemical elements characterization techniques (Spectrophotometry, ICP, FX…)
• Familiar with Labview, python or process simulation software
• Excellent command of oral and written English - for research purposes

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

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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 Senior or Lead Research Engineerto 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 closely work 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.

-Optimize and Implement 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 better 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's 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 Containerization 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

-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.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Conduct research in the field of neural networks, vision-language AI, and computational narrative intelligence.
• Independently read and critically evaluate existing literature on AI.
• Implement neural networks and carry out experiments under the supervision of a professor
• Write papers and present the research work to a wide audience

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent
• Strong background in Python and PyTorch programming
• Curiosity in learning new knowledge and investigating unsolved problems
• Keen observation for clues that most people may overlook
• Audacity to carry on after temporary setbacks
• Excellent oral and written communication in English for presentation of research work
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret 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 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.

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 Senior or Lead 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 closely work 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.

-Optimize and Implement 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 better 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's 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 Containerization 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

-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.

The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated research fellow in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Lead research projects and cross-functional teams, including research fellows, engineers and other stakeholders;
• Supervise junior graduate students;
• Write technical reports, including papers, patents and technical disclosures;
• Work closely with team members/engineers and assist in developing new features;
• Ensure responsiveness of applications;
• Support expansion of research output through increased paper publication;
• Diagnose the issue and resolving it on demand.

Job Requirements:

• PhD Degree in Electrical Engineering, Information System, Computer Science, Computer Engineering or a related discipline;
• At least 5 years’ work experience in relevant areas, industrial leadership experience highly preferred;
• Proven ability to translate theoretical insights into practical solutions;
• Proficiency in Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Excellent verbal communication skills and good problem solving skills;
• Strong attention to detail;
• Fluency in both spoken and written English - for research purposes

We regret 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

Join the laboratory of Associate Professor Francesc Xavier Roca Castella at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focusing on the prediction and testing of genetic variants potentially affecting splicing by in silico and mainly experimental methods.

Key Responsibilities:

• Designing and executing experiments and analyses to predict and test genetic variants that could affect RNA splicing. Key techniques include splicing minigenes, high-throughput sequencing, and CRISPR-mediated gene editing.
• Interpreting experimental data and outlining its implications (substantial experience in these areas is required)
• Preparing manuscripts and presentations for both internal and external audiences
• Mentoring and train Project Officers, PhD students, and undergraduate interns, contributing to the scientific development and productivity of the lab
• Collaborative teamwork is essential

Job Requirements:

• A PhD in Biology, Molecular and/or Cellular Biology, Biochemistry, or related disciplines, with a focus on RNA splicing or related topics
• Experience in at least five of the following areas:
  Cell culture
  Standard molecular biology techniques
  RNA biology
  Human genetics
  RNA splicing
  Next-generation sequencing
  Bioinformatics
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• 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.

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

We regret 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.

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.

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 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.

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.

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 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 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.

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 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.