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.

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

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

The School of Mechanical and Aerospace Engineering (MAE) is seeking a Research Associate to support a cutting-edge project focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. This initiative merges advanced computational modeling, AI-driven control algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in aerodynamics, robotics, and machine intelligence, working collaboratively to push the boundaries of small unmanned aerial system performance. This high-impact research aims to transform how drones navigate cluttered spaces, setting the stage for next-generation aerial platforms with wide-ranging applications in areas such as surveillance, inspection, and environmental monitoring.

Key Responsibilities:

• Support research and development related to Robot Design and Autonomous Control of an Avian-Inspired Robot
• Design and fabricate robust platform prototypes
• Develop models and algorithms (AI-based) for dynamics and control of flight.
• Support PI/Team Lead with project management activities and preparation of progress reports

Job Requirements:

• Education qualifications: MSc or MEng in Robotics/Mechanical/Aerospace/Electrical engineering. Specialization in Bio-inspired robotics, Materials, or AI-driven control systems.
• Soft skills: Strong communication, teamwork, adaptability, and problem-solving abilities.
• Hard skills and Competencies: Proficiency in CAD software, rapid prototyping and application of autopilot flight control. Proficiency in Python, C++, and MATLAB/Simulink; familiarity with robotics middleware (e.g., ROS/ROS2) and embedded systems. Research publication track record
• Experience: Demonstrated R&D track record in designing, testing, and refining aerial or bio-inspired platforms.

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

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

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

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

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

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

Key Responsibilities:

• Conducting literature review
• Conducting interviews
• Liaising with school personnel
• Survey construction, evaluation, and administration
• Assist in quantitative and qualitative processing and analysis
• Project and data management, maintain research records
• Collect primary data, responsible for data coding and entry
• Report preparation
• Assisting in the analysis of findings

Job Requirements:

• Bachelor’s degree in psychology with a background in cognition, emotion, or related field.
• Experience in conducting, collecting data for and analysing surveys, psychological testing (computerised), behavioural testing and cognitive experiments
• Experience in conducting literature reviews and writing academic reports
• Experience with statistical analysis using SPSS and/or R language
• Good ICT skills
• Good communication skills and other interpersonal skills
• Excellent organizational skills and able to work effectively within deadlines
• Experience preparing reports, protocols, presentations and manuscripts with guidance
• Interest in research at the intersection of neuroscience, social science, education, and cognition

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

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

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

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

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

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

Key Responsibilities:

• Conducting literature review
• Conducting interviews
• Liaising with school personnel
• Survey construction, evaluation, and administration
• Assist in quantitative and qualitative processing and analysis
• Project and data management, maintain research records
• Collect primary data, responsible for data coding and entry
• Report preparation
• Assisting in the analysis of findings

Job Requirements:

• Bachelor’s degree in psychology with a background in cognition, emotion, or related field.
• Experience in conducting, collecting data for and analysing surveys, psychological testing (computerised), behavioural testing and cognitive experiments
• Experience in conducting literature reviews and writing academic reports
• Experience with statistical analysis using SPSS and/or R language
• Good ICT skills
• Good communication skills and other interpersonal skills
• Excellent organizational skills and able to work effectively within deadlines
• Experience preparing reports, protocols, presentations and manuscripts with guidance
• Interest in research at the intersection of neuroscience, social science, education, and cognition

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. The School of Civil and Environmental Engineering (CEE) aims at exploring and utilizing the underground space in a sustainable manner.

Our department is seeking to hire a high-calibre researcher to provide leadership and support for digital transformation of geotechnical industry.

Key Responsibilities:

• Responsible for developing state-of-the-art machine learning algorithms to fuse multi-source data for TBM tunneling risk assessment.
• Apply emerging digitalized approaches to transform the current engineering practices.

Job Requirements:

• Master’s degree in mechanical and civil engineering or related field
• At least 2 years of relevant experiences in thermal engineer / technical hands-on experience in thermodynamic analysis
• Good written and oral communication skills
• Proficiency in programming, such as Python, MATLAB, or other competent languages
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• A good record of publications in reputable peer-reviewed journals or conferences

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

The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 50 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities.

Key Responsibilities:

• The Research Associate should be familiar with applied geophysics, data analytics, and/or underground engineering, particularly land and marine geophysical surveys.
• The position involves in conducting research, supervising undergraduate students, and writing scientific articles.

Job Description:

• To be involved in a research project related to applied geophysics, particularly land and marine geophysical survey, machine learning and data analytics, and seismic interpretation;
• Key responsibilities include conducting seismic survey and develop machine learning algorithms for data analysis;
• A MS Degree in applied geophysics or equivalent from a recognized university;
• Able to work independently and collaborate with team members;
• Good verbal and written communication in English - essential for data analysis and communication with stakeholders
• Working or research experience in seismic data processing and/or underground engineering of at least 1 years is desirable.

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.

We are seeking a highly motivated Research Fellow to join the laboratory of Professor Yonggui Gao. The research focuses on the molecular mechanisms of polysaccharide biosynthesis and regulation, using a combination of microbiological and genetic engineering approaches, along with protein structural and functional methodologies.

Key Responsibilities:

• Investigate the molecular mechanisms of polysaccharide biosynthesis and regulation.
• Utilize combinative approaches, including microbiology, genetic engineering, and protein structural analysis.
• Collaborate with a multidisciplinary team with expertise in protein structure, chemistry, biochemistry, and microbiology.
• Perform any other duties as assigned.

Job Requirements:

• PhD or relevant research experience in microbiology or a related field.
• Experience in genetic engineering techniques such as gene knock-out and/or knock-in.
• Strong motivation and ability to work collaboratively within a team.

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.

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 to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role will leverage expertise in dynamic surface wrinkling, functional polymer materials, and adaptive optical sensing technologies to develop intelligent, adaptive systems. This position aims to contribute to cutting-edge research that advances soft interconnects and multifunctional materials for applications in robotics, bioelectronics, and anticounterfeiting.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD in Polymer Chemistry, Materials Science, Mechanical Engineering, or a related field.
• Expertise in soft robotics, dynamic surface engineering, optical sensing, and flexible electronics.
• Proficiency in advanced material synthesis and characterization techniques.
• Demonstrated ability to design and fabricate device prototypes for innovative applications.
• Strong track record of publications in high-impact journals.
• Good written and oral communication skills in English for research purposes
• Capable of conducting independent research while effectively collaborating in a multidisciplinary environment.

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.

SPMS is looking for a candidate to join them as a Research Fellow.

Key Responsibilities:

• To conduct high quality research in coding theory.
• To assist the Principal Investigator (PI) with the writing of research papers.
• To assist the PI with the writing of research grant reports.
• To assist the PI in the supervision and mentoring of a small research team comprising post-graduate students and undergraduate students.

Job Requirements:

• Candidate must possess at least a PhD Degree in mathematics or computer science with strong publication track records. PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also welcome to apply.
• Proficiency in programming would be preferred.
• Post-doctoral research experience in related areas would be an advantage.
• Knowledge and research experience in algebraic coding theory and quantum error-correction would be essential.

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 to inform that only shortlisted candidates will be notified.

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

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

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to design and fabricate multifunctional polymer lattice structures with integrated sensing ability for mechanical protection in various applications through powder-bed-based 3D printing.

Key Responsibilities:

• Design multifunctional lattice structures.
• Fabricate lattice structures by 3D printing.
• Conduct property tests of 3D-printed structures.
• Collaborate with other group members (including PhD students and research staff).
• Publish research results in reputable international journals.

Job Requirements:

• Minimally Master’s degree in Mechanical Engineering, Materials Science, or closely related field.
• Good communication and writing in English.
• In-depth knowledge in lattice structures and 3D printing technologies.
• Experience in numerical modelling for 3D printing.
• Good publication record.

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

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.

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

Key Responsibilities:

• Independent research in the field of personalized federated learning.
• Supervising undergraduate students and research staff.
• Help with the preparation of research proposals.
• Help with supervising the development of research platforms.

Job Requirements:

• Master’s degree in Computer Science from a reputable university.
• Good publication track record.
• Previous research experience in machine learning / AI a must.
• Previous experience in the topic of personalized federated learning will be an advantage.

We regret that only shortlisted candidates will be notified.

Job Details

Location: City Hall

Working Hours: Mon-Fri, Office Hour

Work Type: 3+9 Month Contract

Salary: Up to $ 4,100 per month

What you will be working on?

• Assist with data collation, analysis, and compilation of Singapore Cultural Statistics
• Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.
• Assist with organisation of research training workshops for the Cultural Policy Research Network.
• Assist with project management of Cultural Connections.
• Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).
• Any other duties as may be agreed and assigned.

What are we looking for?

• Singaporean only
• Minimum Degree in Global Studies/ Political Science/ Public Policy/ Art Management or relevant discipline.
• Good eye for details, interest in research, publications, and data management
• Good command of English with good communication and written skills

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This authorizes us to:
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All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

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ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

NTU Facility for Analysis, Characterisation, Testing and Simulation (FACTS) invites applications for the position of Research Fellow/Senior Research Fellow.

Key Responsibilities

• Responsible for running the Small/Wide Angle X-ray Scattering (SAXS/WAXS) facility and the thin film XRD. The role mainly covers instrument management, user support in terms of training, and consultation, to enable a broad user base to use the machines efficiently and safely.
• Conduct maintenance on the above machines, liaising with vendor engineers and trouble-shooting regular problems and issues.
• Conduct data analysis related to SAXS/WAXS and thin film XRD experiments.
• Deliver courses on SAXS/WAXS and thin film XRD covering introductory and topical or advanced courses that are relevant for facility users.
• Organise workshops and conferences to provide support for users, in collaboration with external vendors and other organisations.
• Provide consultancy for various ongoing university projects on related subjects on SAXS/WAXS and thin film techniques. Write up experimental reports and paper sections in accordance to the work done.
• Fulfil any other assigned duties as needed.

Job Requirements

• PhD in Materials Science, Physics, or a related field.
• Proficient in conducting SAXS/WAXS analysis in transmission and in grazing incidence (GISAXS/GIWAXS). Additional experience related to thin film XRD analysis such as X-ray reflectivity (XRR), crystal orientation mapping and high resolution XRD, are highly beneficial.
• Experience doing in-situ measurements, including but not limited to heating/cooling will be a plus.
• Strong communication and organizational skills are essential.
• Excellent command of written and verbal English.
• Capable of working collaboratively in a team as well as independently

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 seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. We are looking to hire a leading scientist with the expertise in microbiology. Some experience in materials science and engineering would be ideal. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• To isolate, identify and investigate how probiotics can impact growth rate and health of fish in the aquaculture industry.
• Developing and formulating encapsulation systems for the delivery of probiotics
• Conduct growth trials and challenge tests with research collaborators to understand the impact of functional fish feeds vs existing feeds.

Job Requirements:

• PhD qualification with relevant research experience in Material Science
• The candidate will be hired in an aquaculture-related project that funded by a government agency.
• The candidate will be working as a part of a research team to provide expertise knowledge and skills in microbiology and materials science to address to the hypothesis in the project.

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Assistant to develop a rapid and cost-effective genotyping method for early detection of colon cancer.

Key Responsibilities:

The Research Assistant will work on a project on developing a MS-based rapid and cost-effective genotyping method for early detection of colon cancer.

• Primary responsibilities include molecular cloning, cell culture, DNA isolation, developing biochemical assays and chromatography-coupled mass spectrometry analysis.
• Work closely with senior researchers.
• Work with external collaborators.
• Prepare results for publication.

Job Requirements:

• Bachelor degree in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in molecular cloning, cell culture, high-performance liquid chromatography or mass spectrometry are preferred.
• Excellent verbal and written communication skills.

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

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

We are looking for a research fellow to work in the area of development of high efficient thermoelectric materials and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation and application of thermoelectric materials for targeted applications.

The candidate should have good knowledge on band structure engineering, synchrotron X-ray process, materials characterization. He / she should have good background on designing and properties of thermal properties and thermoelectric properties of materials. Know all the thermoelectric device fabrication.

Key Responsibilities:

• Preparation of thermoelectric materials, hot pressing,
• thermoelectric material testing and module preparation
• Thermoelectric modulus fabrication
• Publication in good journals

Job Requirements:

• PhD in solid state chemistry/ Materials Science
• Candidates with strong background in Materials Engineering
• Good publication record
• Good team player with good attitude

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

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

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

We are looking for a Research Fellow to develop sensors and mitigants for bacterial contaminations in the cellular agriculture industry. An essential part of this research work is using protein-protein interactions (PPI) of the target bacteria both as basis for sensors development and as targets for mitigation. Peptides based on these PPI interfaces will serve for sensing the target bacteria as well as starting points for non-antibiotic mitigants. The job will include identifying potential target protein-protein interactions of the bacteria, designing and synthesizing peptides derived from these PPI interfaces, evaluating their inhibitory activity and antimicrobial activity and developing more advanced and active derivatives. Experience in peptide design and synthesis and in protein biochemistry is required, with expertise in recombinant protein expression and purification being an advantage. as well as independence and creativity.

The role will focus on design, monitor, and perform experiments within the scope of the assigned research project. Additional duties may include training and collaboration with research staff and students.

Key Responsibilities:

• Select the most important PPI for inhibition and design peptide inhibitors
• Synthesize the designed peptides, purify and characterize them.
• Express and purify the target bacterial proteins using recombinant systems.
• Perform quantitative biochemical and biophysical studies of the protein-peptide interactions
• Test the ability of the peptides to inhibit the target proteins and bacterial growth
• Design improved more potent and stable peptides and test their activities as above
• Use the best binding peptides for biosensor development
• Conduct interpretation and application of experimental results
• Gather information/ data and prepare documents for reporting/ papers and actively participate in all stages of writing these papers and reports
• Assist in and deliver training and coaching new members with relevant laboratory/ technical skills

Job Requirements:

• PhD degree in Biochemistry/Chemistry
• At least 3 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Strong experimental skills in peptide design and synthesis, protein expression and purification and binding and activity studies
• Excellent communication and organizational skills
• Independence, creativity and original thinking
• Gathering information/ data and preparing documents for reporting/ papers as well as actively participating in writing these documents
• Willing to contribute to team services like sharing/ coaching new members with relevant laboratory/ technical skills
• Ability to build rapport and influence stakeholders at all levels
• Ability to work collaboratively in a fast-paced environment.
• Possesses international experience, with a strong network of contacts in the region.

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 9-month contract at the Natural Sciences and Science Education Department.

Project Title: Feasibility Study on Laser Induced Plasma-Guided Electrical Discharges

Project Introduction:

The aim of the project is to study and evaluate several types of conditions and design parameters of different plasma and laser devices that would allow: (1) generation of laser-induced plasma channel under atmospheric pressure, (2) propagation and maintaining of electrical stream/pulses on the plasma channel, (3) evaluate effects of laser-induced plasma with material interaction. Experimental and simulation studies will be caried out using various setups and software tools to determine the feasibility of generating these laser-induced plasma channel for applications requiring electrical discharge, electrical transport, and spectroscopy.

Requirements:

• BSc in Physics, Engineering Science, or Electrical Engineering.
• Preferably minimum 1 year working or research experience.
• Preferably with experience in experimental lab or computational applications.
• Preferable knowledge of Unix or Linux concepts, the Unix shell, and terminal commands to interact with Unix computer environments.
• Preferably possess or previously holds a NEA N3 laser license.

Responsibilities:

• Work on development of laser induced plasma channel and other plasma/laser setups.
• Assist in all aspects of experiments including carrying out experiments, data analysis, and experimental setup.
• Assist in all aspects of modelling/simulation work.
• Design of new parts and new apparatus.
• Help with aspects of project management and administration - prepare writeups, progress reports, risk/safety assessments, reports, and compilation of literature survey.
• Documentation and scientific reporting.
• Assist Principal Investigator in other tasks.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019495 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Natural-Sciences-and-Science-Education-Department--NIE-_R00019495)

Closing Date

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

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.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) invites applications for the position of Research Scientist.

Key Responsibilties:

• Designing and conducting research projects focused on Computer Vision.
• Developing and fine-tuning advanced AI models to analyze complex visual data from various sources.
• Utilizing Large Language Models and advanced deep learning techniques to enhance image and video analysis capabilities across multiple applications.

Job Requirements:

• PhD in Computer Science or a related field, with specific expertise in computer vision and artificial intelligence.
• Proven experience in high-level research, including publications in top-tier journals and conferences.
• Familiarity with self-supervised and unsupervised learning techniques and their applications in solving complex visual recognition tasks.
• Good teamwork and collaboration skills

We regret that only shortlisted candidates will be notified.

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

The Research Assistant will play a key role in the synthesis of catalysts and grafted molecules for the design, preparation, and optimization of durable and stable compounds.

Key Responsibilities:

• Synthesis of grafted molecules
• Synthesis of catalysts
• Demonstrate proficiency in synthetic chemistry and nucleophilic reactions
• Utilize ChemDraw for molecular modeling and design

Job Requirements:

• Bachelor of Science (Honors) in Chemistry
• At least 1 year of relevant experience in a similar role
• Strong understanding of SN2X and SNChX reactions
• Expertise in designing, preparing, and optimizing durable and stable grafted molecules
• Ability to guide and supervise undergraduate students
• Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

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

The Research Fellow will take on a significant role on developing and applying cutting-edge biotechnologies, including high throughput next-generation sequencing (NGS), CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply cutting-edge genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Write and publish high-impact research papers
• Guide graduate and undergraduate students

Job Requirements:

• PhD degree in biological sciences, bioengineering, biotechnology, or related fields
• Strong research experience in genomics, genetics, computational biology, or related disciplines
• Outstanding publication track record, preferably with first-author papers in high-impact journals
• Proficiency in genomic technologies, including CRISPR, NGS, and bioinformatics
• Ability to work collaboratively within a team

To apply, please submit a CV, a brief statement of research interests, and contact information for at least two references to [email protected].

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

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Fellow.

Key Responsibilities:

• Operation, maintenance and diagnostic of the thermal evaporator and other simple laboratory instruments used.
• Supervise undergraduate students

Job Requirements:

• Possess PhD in Environmental Science/Engineering or related disciplines.
• Experience in advanced laboratory experience in thermal evaporation
• Experience in advanced laboratory methods for fabrication and analysis of solar cells.

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 Shen Yijie at SPMS. We are seeking a Research Assistant to contribute to a project focused on Harnessing High-Dimensional Complex Optical Topological Structures by Generative AI.

Key Responsibilities:

• Develop the AI architecture for the project
• Design the Physics-enhanced algorithm for structured light classification
• Manage the project's progress
• Write the academic paper (journal and conference)
• Write the research funding proposal

Job Requirements:

• Bachelor’s degree in AI for Science or related field
• At least 3 years of relevant experience in technical hands-on experience with AI for Nanophotonics
• Familiarity with structured light, generative AI models.
• Good written and oral communication skills
• Proficiency in FDTD simulation, PyTorch, and Python Programming
• Ability to work independently / develop solutions under strict timelines
• 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.

Physicists have been at the forefront of some of the most important inventions of all time. These inventions have formed the basis of transition toward an improvement in quality of life. Atomionics is at that juncture and ready to revolutionize the domains of resource exploration and navigation. Our quantum sensors are based on cold atom interferometry and can measure gravity, acceleration, and rotation with high accuracy, precision, and sensitivity. The challenge? Making it work in a dynamic environment to enable real world applications that would extend the benefits of the energy industry to the next billion people.

We are looking for a cold atom physicist who:

1. Wants to be involved in research while gracefully maneuvering through the technical constraints of field deployment
2. Is excited by the prospect of working within an interdisciplinary team comprised of electronics engineers, mechanical engineers, and software engineers
3. Would like to own their work via compelling equity offerings

We are a focused group in a high-energy environment. Our team consists of people at the top of their domains with a diverse set of experience, such as in advanced rocket engines, the first digital cameras, and high resolution microscopes, apart from cold atom physics. In addition, we are backed by some fantastic investors from the private and public sectors, such as Wavemaker, SGInnovate, Cap Vista, 500 Startups, and other prominent angels.

Responsibilities

• Design and development of atom interferometry based sensors
• Work in collaboration with electronics engineers and mechanical engineers to develop the system
• Research on the improvement and miniaturization of atom interferometry based sensors
• Write patents

Must have skills

• PhD in Physics, with research experience in cold atom physics
• Proficient in experimental work
• Ability to work independently and in a team
• Fluency in spoken and written English

Nice to have skills

• Prior experience in atom interferometry
• Built atom interferometry based gravimeter, accelerometer, or gyroscope
• Built near-IR lasers, laser locking system, and RF electronics
• Experience in theoretical simulation of atomic systems
• Developed control systems using FPGA