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.

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.

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

As a Product Designer, you will play a critical role in creating 3D wearable prototypes. You will lead design projects from concept to completion, creating product prototypes in close collaboration with the project manager. The ideal candidate has a strong understanding of design principles, and best practices, materials, and manufacturing techniques, with a passion for creating unique products.

Key Responsibilities

• Create and define a 3D wearable product based on specific requirements.
• Conduct user research, analyzing user feedback and usage data to identify key opportunities for product enhancement and innovation.
• Responsible for digitally visualizing design concepts and user interactions and/or creating 3D mock-ups and prototypes via renderings.
• Prepare technical drawings and specifications for production and communicate with manufacturers and suppliers for product execution.
• Understand best practices and emerging technologies by applying new learnings to the assigned work.
• Be able to make decisions on sustainable materials and finishing of the design proposals.
• Lead the end-to-end design process for new products, from concept ideation to final production.
• Develop detailed sketches, 3D models, and prototypes for wearables.
• Select appropriate materials to achieve desired aesthetics, functionality, and quality standards.
• Manage project timelines and milestones, ensuring all design projects are delivered on time and within budget.

Job Requirements

• Bachelor of Fine Art or Bachelor Degree in product design, demonstrating a track record of delivering impactful physical products or features from concept to launch, or graduates with a focus on product design skills.
• Exceptional visual design skills with a proven track record.
• Proficiency in prototyping tools to effectively demonstrate design concepts and user interactions.
• Experience in conducting user research and translating research insights into product features that had a proven impact
• Strong communication skills and independence.
• Capability of articulating design decisions clearly and effectively.

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.

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.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

For more details, please view School of Civil and Environmental Engineering | NTU Singapore.

We are looking for a Research Fellow to support the research for the project titled “Development of Durable, Jointless and Reduced Embodied Carbon ConFlexPave for Port Use”. The role will focus on carrying out research according to the proposed milestones.

Key Responsibilities:

• Work on a project to conduct the research on development of durable, jointless and reduced embodied carbon ConFlexPave for port use.

Job Requirements:

• PhD degree in Engineering, Material Science or Chemistry or related field
• Previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).
• Additional experience in carbon sequestration in cement-based material would be preferable, but not required.
• Strong academic standing with several publications in reputable journals
• Strong references from previous supervisors

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.

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 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.

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.

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.

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges. The ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and sustainability.

Research Assistant/Associate, Environmental Science

We are looking for a highly motivated, independent and adventurous Research Associate/Assistant to coordinate research activities in Brunei and Singapore. This role involves coordinating the instrumentation of a 65-meter tower in a pristine peat swamp forest will micrometeorological sensors to monitor water vapor, carbon dioxide and methane exchange at the ecosystem scale. We hypothesize that, given its undisturbed state and the thick peat layer, this peatland functions as a net carbon sink. Validating this hypothesis would provide novel evidence of active carbon removal from pristine peatlands in Southeast Asia.

This position offers a unique opportunity to engage in field-based research within a pristine tropical peat swamp forest. The role involves periods spent outdoors, where living and working conditions are basic. Candidates should be motivated by the challenges and rewards of field research and committed to advancing impactful environmental science.

Key Responsibilities

• Coordinate and participate to field trips activities related to the installation and ongoing maintenance of the micrometeorological eddy covariance tower.
• Oversee the procurement of sensors and equipment, managing inventory to ensure all supplies are ready for fieldwork.
• Collect, process, and analyze eddy covariance data using EddyPro, focusing on data quality and initial interpretation.
• Perform regular maintenance and troubleshooting of sensors and data systems to maintain data quality and continuity.
• Train field staff on equipment basics, document protocols, and prepare technical reports to support current and future research activities.

Job Requirements

• Bachelor’s or Master’s degree in environmental science, biology, ecology, meteorology, engineering, or a related field.
• Experience with the installation, calibration, and deployment of environmental monitoring equipment. Prior fieldwork experience, particularly in remote or tropical ecosystems is advantageous.
• Ability to work independently and proactively solve problems under challenging conditions.
• Strong organizational skills to effectively manage field activities, logistics, and team coordination.
• Proficiency in data analysis software (e.g., R, Python).

ASE 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, family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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

A Research Assistant position is currently available in the Division of Accounting in Nanyang Business School with a focus on auditing research. The incumbent will be encouraged to engage in behavioral auditing research.

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

Key Responsibilities:

• Conducting research on auditing, including data collecting, cleaning, analyzing, and reporting.
• Formulating strategies to analyze data and conduct research.
• Participate in hand-collection of data.
• Provide basic administrative support.

Job Requirements:

• Bachelor Degree in Accounting, or a related field, before the anticipated start date of 1 February 2025.
• Expertise in at least one of the areas of data analytics, statistics, and econometrics.
• Strong coding skills (one or more of R, Stata or Python).
• Prior experience in research projects using multiple databases.

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

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.

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here.

NIE invites suitable applications for the position of Senior Executive / Executive, Grants Management with the Office of Education Research (OER).

Responsibilities

• Support the grants management team in the administration of research grants.
• Assist in pre-to-post award research grant administration processes including grant application, budgetary checks, review, completeness checks, grant award, variations, project progress and final reports.
• Manage and ensure research grant administration policies, guidelines and terms and conditions are in accordance with the research grant funding agencies’ and institute’s regulations.
• Support in institutional grant management processes including award creation in grant management systems.
• Provide consultation to project teams on grants processes and guidelines.
• Facilitate grant closure processes.
• Facilitate Research Collaboration Agreements (RCA) and Non-Disclosure Agreements (NDA) between grant stakeholders.
• Support in grants management events organised by the unit.
• Support in ensuring SOPs are updated timely.
• Design/create grants related infographics/posters/collaterals for stakeholder communication and events where required.
• Maintain unit’s research portals, project databases, records and documents.
• Liaison with stakeholders, external parties and auditors.
• Assist in organizing and providing secretarial and logistical support for research grants panel meetings including recording of minutes.
• Support the Associate Dean Grants Management and Strategic Analytics in scheduling, slides preparation and any other duties as and when assigned.

Requirements

• A Polytechnic diploma.
• Preferably with 2 to 3 years of working experience in research grant and/or project management in an educational institution.
• Possess good writing, communication and interpersonal skills.
• Able to work with faculty and staff across various administrative units.
• Strong numerical skills with an eye for detail.
• Strong planning and organizational skills.
• Able to monitor compliance in policies and uphold governance of policies.
• Strong team player.
• Able to learn fast, multi-task and work within tight timelines.
• Demonstrate excellent knowledge of MS Office applications and willingness to learn or use new IT software and applications as and when required.
• Experience in designing infographics will be an added advantage.

Closing Date

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

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 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.

We are looking for a highly motivated candidate to join our team as a Research Associate.

The Research Associate will work on a funded interdisciplinary grant at the intersection of graph data management, cognitive psychology, and data visualization to support the University’s research in data science. The project seeks to develop a novel data-driven framework for user-friendly visualization of property graph schemas that is informed by theories from cognitive psychology. The successful candidate will be responsible for developing it.

Key Responsibilities:

• Plan and develop effective abstraction and algorithms for visualisation of property graph schema.
• Assist in development of user-friendly and interactive interface for visualisation of property graphs.
• Liaise with various stakeholders.
• Contribute to the production of research reports.
• Contribute to the dissemination of research findings.
• Perform other tasks as required by the Principal Investigators.

Job Requirements:

• Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Strong analytical and programming skills.
• Strong background in algorithms and data management.
• Experience using programming language such as JavaScript, TypeScript and Python
• Excellent organizational skills and able to work within given deadlines.
• Self-directed learner who effectively picks up relevant skills as needed.
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The EOS/ASE Geodesy Group at NTU is searching for a Research Engineer II to work under the supervision of Prof Emma Hill on the role of tectonics in modifying regional relative sea level (RSL). The successful candidate will analyse geodetic data and conduct numerical modelling to estimate RSL related to past and future earthquakes and other processes of land-height change in Southeast Asia.

Further to this, they will work on projects aimed at effective communication of these results to policymakers and other stakeholders. They will investigate best practices for communicating probabilistic estimates of potential future impacts of earthquakes on RSL. The successful candidate will have a Bachelors’ degree in Earth Science, natural hazards, remote sensing, geodesy, computer science, data science, or a related subject. Most importantly they will have enthusiasm to engage in the research work of our group, and a passion for making Southeast Asia a safer and more sustainable place for all communities in the region.

Key Responsibilities:

• Analyze and interpret geodetic and remote sensing data from regional observing networks and satellites to further our understanding of land-height change in Southeast Asia.
• Conduct numerical modeling of tectonic processes, including to use numerical modeling techniques to model deformation resulting from viscoelastic deformation of the Earth’s asthenosphere.
• Conduct probabilistic analysis for potential future impacts of earthquakes on RSL.
• Conduct studies into best practices for communication of results on RSL from tectonics to policymakers and other key stakeholders, including discussion with these groups to learn their needs.

Job Requirements:

• Bachelor’s degree in Earth or environmental science.
• At least 4 years of experience working in an Earth science field.
• Demonstrated experience in geodetic data analysis and numerical modelling of tectonic deformation.
• Demonstrated experience conducting scientific research.
• Demonstrated ability to write and present at the level of peer-reviewed scientific journals and international conferences, which will usually be in English.
• Collaborative mindset and strong teamwork skills.
• Evidence of lead authorship of papers submitted or accepted into peer-reviewed journals would be a plus.

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

To apply, please submit a CV, cover letter, statement of research interests, and the names of three referees.

We regret to inform 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:

• Responsible for maintaining git repositories
• Develop cloud systems
• Do experiments to measure and evaluate performance of cloud systems
• Read and write related academic papers

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Preferably with programming skills of Python, Go and C++
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Good knowledge in laboratory works as well as engineering of prototype system.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.