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 Fellow.

Job Responsibilities:

• Develop and maintain codebases
• Do experiments to measure and evaluate performance of cloud systems
• Read and write related academic papers
• Engage in and facilitate teamwork
• Co-supervise UG and PG students and research staff
• Assist with administrative work, teaching, and research event arrangements

Job Requirements:

• A PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• 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.
• 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.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.
• Strong interest in systems research
• Strong programming skills in C++, Golang, or Rust and Python

We regret 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:

• Develop and maintain codebases
• Do experiments to measure and evaluate performance of cloud systems
• Read and write related academic papers
• Engage in and facilitate teamwork
• Co-supervise UG students
• Assist with administrative work, teaching, and research event arrangements

Job Requirements:

• A Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• 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.
• 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.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.
• Strong interest in systems research
• Strong programming skills in C++, Golang, or Rust and Python

We regret 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 Fellow.

Job Responsibilities:

• Conduct programming and software development for graph data management.
• Design and implement machine learning models for optimizing graph data management.
• Conduct experiments and evaluations of the designed algorithms and systems.
• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• 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.
• 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.
• 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.

We are seeking a Research Associate to join a university-level research centre. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced cryptographic protocols for privacy protection of machine learning models in AI accelerators. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• Conduct research on the design and implementation of applied cryptographic protocols for privacy-preserving of AI models and data.
• Conduct research on the development of security and privacy enhanced solutions for AI accelerators.

Job Requirements:

• Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in cyber security, machine learning, computer hardware, and related areas.
• Strong publication records in top-tier artificial intelligence or computer security conferences/journals, such as ICLR, ICML, NeurIPS.
• Expertise in developing efficient and practical solutions for AI model protection.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups

We regret that only shortlisted candidates will be notified.

The Choksi research group is seeking a Research Fellow funded by a grant through the C4T Phase 2 No Cost Extension hosted at the Energy Research Institute at NTU (ERIAN). The Research Fellow will help advance foundational knowledge in understanding the stability and synthesizability of porous materials using computational methods. The research fellow will employ electronic structure calculations, first principles thermodynamics, and machine learning methods to develop a paradigm for the predictive synthesizability of porous materials..

This appointment is until the end of the project, 31 October 2025.

Key Responsibilities:

• Performing ab initio calculations for heterogeneous catalysts
• Using ab initio thermodynamics to determine catalytic structures under working conditions
• Calculating reaction rates using microkinetic models.
• Understanding the stability of nanoparticle catalysts
• Working together with PhD students from Choksi’s group, and undergraduate researchers
• Writing papers and delivering technical presentations.

Job Requirements:

• PhD or equivalent in chemical engineering, chemistry, physics, material science or an allied field.
• Between 0-3 years of post-PhD work experience.
• Extensive experience in using quantum mechanical and molecular modelling packages like VASP and Quantum ESPRESSO, has advanced knowledge of first principles thermodynamics, and reaction kinetics modelling.
• Familiarity with Python and working in a Linux based platform is a bonus.
• Intellectually curious and think deeply and creatively.
• Good interpersonal skills and enjoy working in cross disciplinary teams.
• Demonstrate proficiency in written and spoken English for research purposes
• Ability to work independently.

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

Research Associate in Assoc Prof Steve Yim's lab

The Air Pollution and Health team's research of Prof. Steve Yim focuses on the interactions between climate and air quality, and the resultant impacts on public health and ecosystem. The team's ongoing research is to develop, advance and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and evaluate the impacts on human exposure, mosquito abundance and soil acidity.

Particular interests are in investigating air quality impacts of sectoral emissions and transboundary air pollution at multiple spatial scales, studying regional climate change due to land-use changes and global climate change, and evaluating and quantifying the effects of air pollution on respiratory and cardiovascular diseases. The team also assesses and develops emission control scenarios to provide scientific-based policy solutions for a sustainable environment in present and future years.

Responsibilities:

The position will be required to develop and apply modeling techniques to simulate the spatial distribution of air pollutants in a city at a high spatial resolution. The model development requires to collect data at different aspects. The position will have to work on the data collection, data processing, model development and application, and data analyses. The position has to document the model development and results in reports and peer-review international journals. The position will also have to complete tasks that his/her supervisor assigns.

Requirements:

• To have a master degree in atmospheric science/geography/meteorology/environment
• To have experience in development of spatial models especially land-use regression model or machine learning

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

Our group is seeking a highly motivated Research Fellow with expertise in Additive Manufacturing processes to join our dynamic team. The ideal candidate should hold a Doctoral Degree in Mechanical Engineering or a related field and possess extensive hands-on experience in a variety of additive manufacturing techniques, including Fused Deposition Modeling (FDM), Direct Ink Writing (DIW), Digital Light Processing (DLP), and software development for slicing and toolpath generation.

Key responsibilities include:

• Writing research proposals to secure funding and support ongoing initiatives.
• Driving research and development efforts for translational projects with a focus on industrial applications.
• Collaborating with a multidisciplinary team to innovate and optimize additive manufacturing techniques.
• Leading experiments, analyzing data, and publishing findings in high-impact journals.
• Providing mentorship and technical guidance to junior researchers and students.

The successful candidate will have a strong background in designing and implementing advanced manufacturing workflows, a track record of impactful research or industrial experience, and the ability to bridge the gap between theoretical innovation and practical application. A passion for innovation, excellent problem-solving skills, and the ability to work independently and as part of a collaborative team are essential.

Essential duties and responsibilities for this position include:

The candidate will work together with a multidisciplinary research team to develop novel optoelectronic nanoscale devices and develop on-demand light-matter interaction technology.

The detailed job requirements:

• Strong publication track record
• Strong foundation knowledge in optics
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills.
• Good team player
• Excellent oral and written communication skills
• Prior experience with fabrication or manufacturing of optical elements or devices will be an advantage.
• Experience in FDTD or COMSOL for optics simulation will be an advantage.

Job Requirements

• PhD degree in physics/optics, materials science, and electrical and electronic engineering;
• Fresh PhD graduate and post-dos are welcome to apply for this position.

Research Fellow position available to lead research projects in Optics and Photonics. Particularly we are interested in the specific topic of nanoantenna-enhanced light emitting devices. Here, the goal is to incorporate plasmonic and/or dielectric antennas to enhance performance of optical and electrically driven light sources that consist of quantum emitters such as quantum dots, dyes, nanoparticle upconversion clusters. The researcher will work in collaboration with teams across Singapore including NUS, IMRE, NTU and SUTD to design, fabricate and test devices.

Candidates with PhD in experimental research in materials and optics are welcome to apply.

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

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 a speech and language technology research group situated under CCDS, NTU. The group was established since 2007 and has since focused on machine learning and deep learning approaches in speech and language technologies. Our research interests include but not limited to Automatic Speech Recognition (ASR), Classification and Speech Understanding. The College of Computing & Data Science (CCDS) invites applications for the position of Senior Research Scientist.

Key Responsibilities:

• Lead the research and development of algorithms for speech recognition, diarization and speech enhancement.
• Plan and ensure timely delivery of project milestones and deliverables.
• To lead in the development of far-field speaker diarization and enhancement.
• To organize, document and transfer developed software package(s) to other team members and/or funding bodies.

Job Requirements:

• PhD in computer science/engineering or related fields.
• Strong expertise in speech technologies such as speaker diarization, speech enhancement, speaker overlapping detection, automatic speech recognition, and natural language processing and deep learning applications.
• Have experience in leading teams for speech research.
• Strong in the following programming languages and frameworks: Python, PyTorch.
• Experience in project management, delivery and customer support in the relevant research fields.

We regret that only shortlisted candidates will be notified.

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

This is a short term research assistant role to assist a research project on the topic of carbon capture, the role requires theoretical and hands-on experiences in the synthesis of porous carbon, specifically in techniques such as material formulation, freeze casting, and characterization techniques such as scanning electron microscopy, BET, FTIR and XRD.

The individual will also have proven technical writing experiences, having first-authored published manuscript in peer reviewed journals. In the short contract, the individual will aim to 1) complete a manuscript 2) participate in proposal writing 3) collaborate with a postdoctoral fellow on a carbon capture material research project

We are looking for individuals with a passion in teaching Science but are not able to commit to a full-time job. Candidates must be able to commit to a minimum of 8 teaching hours per week and respond at short notice to cover classes at the different DAS learning centres. They must be able to commit to this arrangement for a minimum of two years. All candidates must be registered with the Ministry of Education (MOE) before they can start teaching at the DAS.

About our Science Programme

The Science Explorers Short-Term Programme (STP) is one of the most exciting programmes available under Specialised Educational Services (SES) division. In line with our Ministry of Education’s (MOE) Science syllabus, our students with dyslexia learn to ‘Explore Science & Enrich Their Minds’! There are five Science Themes; Diversity, Interactions, Systems, Energy and Cycles, which are, included respectively in each Science Explorers STP, throughout the year. These Science Explorers STPs have been designed to support our students from Primary 3 to Primary 6 with their understanding of the Science concepts and processes as well as applications of the conceptual knowledge and skills to answer Science exam questions in an interactive and fun environment.

Our intake is kept to a maximum of 6 students per Science class. In a school-term of 10 weeks, our Science classes are conducted once a week and it is 1 hour per lesson. All teaching materials and students’ worksheets will be provided for conducting the Science theme-based lessons, which include both ‘Inquiry-Based Learning (IBL) approach and Orton-Gillingham (OG) approach that encourages students’ engagement during Science lessons.

The duties of DAS Flexi Educational Therapists (Science) include the following:

• Delivering lesson plans face-to-face and/or online lessons that meet the students' needs and abilities, in line with the guidelines of the SES Science curriculum.

• Monitoring the progress of the students based on their Pre & Post Science Assessments as well as during Science lessons.

• Sharing information on progress of students and discussing issues if any, with parents on a termly basis.

• Fulfilling administrative responsibilities such as marking attendance for all lessons.

• Attending all training sessions provided by the Science team.

• Participating in the Quality Assurance Audit (QAA) annually to ensure that our Science Programmes are of high quality and its effectiveness throughout the year.

• Responding to relief teaching needs where necessary.

• Participating in research to evaluate the effectiveness of the Science Programme (optional).

Requirements

• Degree from a recognised university, in any discipline
• Minimum Grade C6 for Science at GCE "O" levels
• No teaching experience is necessary; however, some experience in teaching Science, and/or working with children with specific learning differences would be an advantage.
• Strong interpersonal skills with the ability to communicate effectively
• Flexibility in adapting to the changing needs of the Science Programme
• Good understanding of the Singapore Science curriculum would be an advantage
• Ability to work flexible hours including weekday evenings and weekends

Please visit our website for more information: https://das.org.sg/careers-at-das/positions-available/

All interested applicants are to submit the following as part of their application.

1. DAS Employment Application Form, duly completed (form can be downloaded from the Careers page of our website https://das.org.sg/careers-at-das/positions-available/)
2. Resume
3. Copies of educational transcripts, including GCE “O” levels

Successful candidates must be able to join us for an initial training commencing on 24 March 2025.

Joel Yang's Nanolab at SUTD is at the forefront of nanoscience research, particularly in high-resolution lithography and nanofabrication for optics and nanophotonics.

Role:

We seek motivated individuals to join our diverse team of researchers for a 2 year contract, with continuation based on performance. This position offers opportunities to realize radical new ideas and break new ground in aspects related to nanofabrication process and capability development. Specifically we are looking for experts in electron-beam and two-photon polymerization lithography, preferentially with experience working on devices related to nanophotonics and nano optics.

Responsibilities:

As a Postdoctoral, you will engage in diverse tasks ranging from experimental work in the cleanroom and optical bench, to supervision and mentoring of PhD students and project management.You'll be leading research initiatives, plan experiments, innovate, and publish findings in esteemed conferences and journals. This role requires dedication, perseverance, strong interpersonal skills, effective presentation abilities, problem-solving skills, leadership, and accountability.

Qualifications:

• PhD degree in electrical engineering, mechanical engineering, Physics, Materials Science or related fields.
• Experience with cleanroom equipment such as lithography, thin film deposition and etching.
• Preference for candidates with track record of publishing impactful journal articles
• Organized, driven, and self-motivated with meticulous attention to detail.

Duration:

The initial contract is for 2 years, with the possibility of renewal.

Location: Singapore

Application Procedure:

Interested candidates should submit their CV, cover letter, and contact information of at least one reference (Faculty/Previous Supervisor) to [email protected] with the subject line "Postdoctoral Associate [Nanofabrication] Application".

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 Bei Xiaohui at SPMS. We are seeking a Project Officer to contribute to a project focused on algorithm design in Game Theory and Fair Division.

Key Responsibilities:

• Formulate mathematical models for research problems in computational economics
• Develop state-of-the-art algorithms in algorithmic game theory and fair division
• Design and conduct experiments to evaluate the algorithm performance

Job Requirements:

• Bachelor’s degree in mathematics or related field
• Familiarity with concepts in theoretical computer science and game theory
• Good written and oral communication skills
• Competent in deriving mathematical proofs
• Ability to work independently and 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.

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.

A Research Assistant position is available in the laboratory of Weibo Gao Lab at the School of Physical and Mathematical sciences, Nanyang Technological University, Singapore.

Key Responsibilities:

• Research activities related to NV center magnetometer.

Job Requirements:

• For the Research Assistant position, the candidate must hold a Bachelor’s degree in either material science or applied physics or relevant subject from well-established universities/institutes.
• The candidates must be highly motivated in multidisciplinary research. He/she must have proven experience in Quantum materials.
• The candidate should possess abilities to work independently as well as teamwork.

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 Division of Information Technology and Operations Management at Nanyang Business School is inviting applications for a Research Assistant (RA) position. The role is expected to begin in March 2025 or thereafter. The position will run until 31 July 2025.

Key Responsibilities:

• The RA is expected to plan, organize and implement research projects, in collaboration with the principal investigators. The successful candidate will work closely with professionals in the field of AI, technology and medicine.
• Conduct literature reviews, coordinate schedules for data collection with survey and interview participants
• Assist in data collection, data transcription and analysis
• Contribute to the dissemination of research findings

Job Requirements:

• Minimally a Bachelor’s degree in Business
• Excellent oral and written communication skills is required as the research work is conducted in English language
• Able to work independently and meet deadlines
• Experience with qualitative methods and data analysis

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

Teaching Experience: Minimum of three years of teaching experience.

Competitive Rates: $5k-$6.5k, depending on your experience.

Development of classroom and course materials.

Expertise in delivering impactful in-person science lessons.

Skillful engagement with students in a classroom setting, fostering a positive learning atmosphere.

Adapt teaching methods to accommodate varying learning styles and levels of ability.

Clear articulation of scientific concepts, enhancing understanding and mastery.

Skillfully maintain classroom discipline and manage learning dynamics for optimal outcomes.

Exhibit patience and empathy while guiding students through their science learning journey.

The working hours are five days a week (Mon-Fri) from 12:00 to 20:30. Additional compensation is provided for working on weekends if scheduled off on Saturday or Sunday.

Requirements: A graduate degree or above.

Work location: Blk 131 Jurong Gateway Rd (S600131)

Join our team of dedicated educators at OX-KIDS and play a crucial role in nurturing young minds through the fascinating world of science. Apply now and contribute to our mission of delivering quality science education to children!

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.

Key Responsibilities:

• Electrochemical process on interface phenomena
• Battery testing under different conditions
• Simulation of scaled up process.
• Interface with machine learning group on data base set up
• Battery safety testing

Job Requirements:

• PhD candidates with strong background in Materials chemistry/Physical chemistry.
• Experience with energy storage system or electrochemical system (Batteries)
• Ph.D in chemistry/ Materials Science/physics
• Encourage initiating activities on battery development, devising, and analytic process
• Experience on machine learning will be preferred
• Good command of oral and written English for research purposes
• Candidate with strong publication/patent records will be preferred

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 8-month contract at the Centre for Research in Pedagogy & Practice (CRPP).

Project Title: Optimising capacity to improve ideas by investigating Brainwave Responses to idea- improvement trigger with Electroencephalogram (EEG)

Project Introduction:

We are seeking a highly motivated Research Assistant to join an innovative project at the intersection of neuroscience and education. This research explores how brainwave responses, measured through EEG, are triggered by specific linguistic cues to optimize idea improvement in collaborative learning environments. By combining cutting-edge EEG technology with qualitative and quantitative methodologies, the project aims to uncover new insights into knowledge building processes.

Requirements:

• A bachelor’s or master’s degree in neuroscience, psychology, education, or a related field.
• Strong interest in neuroeducation or cognitive neuroscience.
• Experience with EEG data collection and analysis (preferred but not mandatory). Proficiency in statistical software and/or programming (e.g., Python, R, or MATLAB). (preferred but not mandatory).
• Excellent organizational and communication skills.

Responsibilities:

• Assist in hiring and coordinating experiment participants, ensuring smooth logistical arrangements.
• Support EEG data collection during learning tasks and maintain organized records of the data.
• Assist in data analysis, including EEG spectral and statistical analysis, under the guidance of the research team.
• Help with organizing and managing project materials, including data documentation and experiment schedules.
• Contribute to academic writing, including drafting sections of reports, papers, and presentations.
• Other duties as assigned by Principal Investigator

Application

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

Workday Job Requisition ID: R00019608

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Centre-for-Research-in-Pedagogy---Practice---NIE-_R00019608)

Closing Date

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

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.

Position Available: Research Fellow (Engineering/Physics)

The laboratory of Yijie Shen at the School of Physical and Mathematical Sciences is seeking to hire a research fellow with a solid theoretical background in optical angular momentum, particularly in vortex light fields, who has also conducted relevant research in this area. The research fellow will focus on two main aspects: 1) theoretical research on optical transverse angular momentum, and 2) the generation, measurement, and application of light fields carrying angular momentum or certain polarization states in long pulses.

Optical transverse angular momentum represents a cutting-edge topic in the field of optics. In the past three years, it has garnered significant attention and extensive research within the scientific community, with related work frequently published in top-tier journals. However, the theoretical understanding of optical transverse angular momentum is still in its infancy. The current theoretical frameworks remain unclear and lack solid foundations, with considerable discrepancies in its definition and calculation. Therefore, advancing its theoretical research is crucial, and this is expected to become a prominent research direction in optics in the coming years.

Additionally, experimental work on vortex light fields can also be pursued. While the generation and study of light beams carrying longitudinal angular momentum are already well-established, research on the generation and measurement techniques for light pulses carrying both longitudinal and transverse angular momentum is still in the early stages. Moreover, exploring potential applications of these light fields remains an open frontier. Theoretical studies involving optical vortices in pulses and ultrafast optics require further development to establish a comprehensive research framework.

Key Responsibilities:

• Conduct theoretical research on optical transverse orbital angular momentum, focusing on its definition and calculation
• Develop methods for numerical simulation for optical longitudinal and transverse angular momentum or generating and measuring light fields carrying longitudinal and transverse angular momentum. Investigate the practical applications of these light fields, such as using them as detection signals in various scenarios (e.g., interactions with different material interfaces)
• Work on the generation and measurement of long pulses with modified power spectrum and explore their applications in the field of communications
• Publish high-quality research papers to contribute to the advancement of knowledge in the field

Job Requirements:

• PhD degree in Engineering, Physics or related areas, with focus on optical angular momentum, optical vortex
• Experience in theoretical research for vortex beams, vector vortex beams and longitudinal/ transverse orbital angular momentum
• Strong written and verbal communication skills in English is essential to conduct research
• Knowledge in classical electromagnetic theory/ quantum dynamics/ optics
• Background in one or more of the following topics: optical angular momentum, ultrafast optics, optical vortex
• Proficiency in scientific computation in C/C++ and MATLAB

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 National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Science of Learning in Education Centre.

Project Title: Investigating the neurobiological mechanisms of cognitive load - A neuroimaging and brain stimulation approach.

Project Introduction:

We are seeking an energetic research assistant with background in neuroscience, psychology, and/or exercise science join our team exploring the neurobiological mechanisms of cognitive load using a combination of neuroimaging and brain stimulation techniques.

Singapore is facing a rapidly aging population that is compounded by a low national birth rate and longer life expectancy of our residents. It is expected that by 2050, approximately 25% of the Singaporean population will be over the age of 65 years, which poses significant challenges in healthcare and socioeconomic domains (National Population and Talent Division., 2023). Older adults often experience cognitive aging and decline, including reduced memory, processing speed, and attention, which can negatively impact their quality of life and independence (Lustig et al., 2009). These deficits in executive functioning are a result of structural and functional brain changes that results in the brain becoming less efficient in supporting attentional demands to day-to-day activities (Cox & Deary, 2022). A key theory in cognitive aging is that older adults experience greater cognitive load (Cognitive Load Theory, CLT) during task performance compared to younger adults that is due to inefficient neural processing (Prince et al., 2024; Sweller, 1988). Cognitive load theory posits that the brain has finite working memory capacity to attend to cognitive tasks, and an overload of information will result in a deficit in learning or allocation of attentional resources to deal with cognitive task (Sweller & Chandler, 2009). Thus, as the brain ages and becomes more inefficient in processing and allocating attentional resources to deal with complex tasks, the likelihood of successful task performance, particularly in situations with time pressures, is negative affected. This project will address the following research questions:

1. What is the relationship between cognitive load, neural activity, and vascular response in young versus older adults during simple and complex cognitive task performance?

2. Can non-invasive brain stimulation modulate the neural and vascular responses to cognitive load, and improve cognitive performance in older adults?

Requirements:

• Bachelor’s degree in psychology, cognitive neuroscience, sport science, or related fields, with;
• Relevant research experience.
• Strong verbal communication and writing skills.
• Expertise in Microsoft applications (Word, Excel, PowerPoint)
• Basic knowledge of statistics and SPSS.
• Able to work independently and in teams with minimal supervision.
• Able to work well with children and adolescents.
• Proactive, energetic, and keen to learn.
• Reliable and able to manage concurrent tasks in a timely manner.

Responsibilities:

• Conduct literature review.
• Assist in participant and stakeholder management within school contexts.
• Assist in the administration and management of project and intervention.
• Assist with behavioural and neurophysiological data collection, processing, and analysis.
• Assist in writing of reports and journal articles.
• Maintain and document research records.
• Facilitate coordination and training of student assistants.
• Other tasks as assigned by the Principal Investigator.

Application

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

Workday Job Requisition ID: R00019607

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Science-of-Learning-in-Education-Centre---NIE-_R00019607)

Closing Date

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