The National Institute of Education invites suitable applications for the position of Research Assistant on a 28-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Examining the adaptability of Singapore Physical Education teachers: A case for the future of teaching

Project Introduction: Adaptability is the capacity to effectively react and respond in constructive ways to situations that can be characterized by change, novelty and uncertainty. In this programme of work, the tripartite model of adaptability will be used to examine Singapore Physical Education (PE) Teachers’ level of adaptability. The model involves cognitive, behavioural and emotional adaptability and refers to how an individual’s thinking, behaviour and emotions can be modified. In the context of PE teachers, the subject of PE is underpinned by a high level of variability and dynamism of the teaching environment as well as interaction among students and the PE teacher (e.g., physical classroom, CCA, outdoor education, values-based education). Unlike other subjects, the teaching and learning situation can transit quite quickly and there is greater uncertainty on the emergence of students’ learning behaviours as they interact with the learning task and environment.

In this programme of work, the research team would build on their previous research experiences and track records to i) examine how adaptable Singapore PE teachers are (Phase 1), ii) the factors that could impact the level of adaptability (e.g., perceived autonomy support, socio-demographic variables, resilience, and creativity) (Phase 1) and iii) if PE teachers with higher adaptability levels are more inclined to adopt innovative pedagogical practices (Phase 2).

Requirements:

• Bachelors Degree
• Experience in undertaking research pertaining to examining impact of intervention studies in the Singapore school context
• Competent in data science and statistics
• Competent in using R or Matlab
• Experience in conducting surveys and focus group discussions
• Responsible and hardworking

Responsibilities:

• Manage the research project
• Data collection
• Collecting, collating and analyzing data
• Prepare reports and papers together with the Principal Investigator
• Assist in general administrative support work
• Any other duties 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 Req ID: R00019423 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Teacher-Education---Undergraduate-Programmes---NIE-_R00019423)

Closing Date

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

Title: Secondary Science Teacher (August 2025)

Department/Division: Secondary

Employee Group: Teacher

Reports to: Principal, Vice-principal

Works collaboratively with: All teaching and operational staff

Supervises: None

KEY ACCOUNTABILITY

To improve the quality of learning outcomes for students by providing teaching and learning ‘best practices’ within the framework of the school’s Mission, Vision, Core Values, Learning Principles, Culture, and the International Baccalaureate (IB) Programmes.

TEACHER STANDARDS

1. Teaching is focused on conceptual understanding

Teaching ensures students have frequent opportunities to engage with the statement of inquiry / central idea, key and additional concepts and develop their own conceptual understandings. They can explain or demonstrate their learning, reflect on their learning and make connections to unfamiliar situations or real-world contexts

2. Teaching is based on inquiry

Teaching develops a student's natural curiosity and wonder to provide opportunities for students to investigate, inquire into and answer questions that they have formulated.

3. Teaching is differentiated to meet the needs of all learners

Learning engagements are differentiated and take into account language proficiency and the depth, complexity and pace of learning needed by students. Students are grouped flexibly according to what they are ready to learn and to provide challenge and enrichment.

4. Teaching is informed by assessment

Students receive multiple forms of feedback (self, peer, teacher) and take ownership of their learning, viewing assessment as an ongoing process toward their goals. They understand their progress and can identify actions to improve. Assessment data and observations inform instructional decisions and feedback.

5. Teaching is developed in local and global contexts

Learning engagements provide opportunities for students to learn about others and the world by engaging and taking action with their community and environment.

6. Teaching reflects how students learn

Teaching plans for implicit and explicit opportunities to develop ATL skills. With guidance, students take responsibility for their own ATL skill development, including setting goals, reflecting on their progress and making adjustments in order to meet their goals.

7. Teaching is culturally responsive

Pedagogical approaches incorporate experiences, contributions and histories from across cultures, nationalities, backgrounds, identities and perspectives so students feel represented and seen in the curriculum.

8. Teaching ensures that visible routines and expectations are in place

Lesson expectations are clearly communicated with resources to support students. Behaviour expectations in the class are co-constructed and modelled by the teacher. Low level behaviour is immediately and consistently addressed and positive behaviour management approaches are used to nurture a positive environment. The teacher pays careful attention to monitor the wellbeing of students and regularly communicates concerns with parents.

9. Teaching considers the environment for learning

The learning environment promotes relationships built on trust. There is a positive student climate with opportunities for student collaboration with a balance of student/teacher led work. The teacher seeks contributions from everyone. Students take risks, utilising technology and the environment to develop the skills taught. Students can regulate their learning and attribute their success to things they can change.

10. Teaching uses a variety of strategies to progress learning

Lessons are well-planned with clear learning intentions shared with students. Teaching engages and excites the students, with common misconceptions addressed. Content is sequenced, considering previous teaching and strategies like retrieval practice are used to reinforce learning. Knowledge and skills are applied across subjects.

Additional Responsibilities

• Ensure the safety and well-being of all students in accordance with CIS administrative policies and divisional procedures.
• Complete all required Child Protection training.
• Participate in the Individual Work Plan (IWP) process:
• Meet the expectations as outlined in the CIS Teacher Job Description, the CIS Teacher Standards, and the CIS IB Programme Expectations for Teachers.
• Solicit feedback from parents or students via surveys
• Develop and implement an Individual Work Plan (IWP) that supports the school’s Strategic Plan
• Reflect individually and collaboratively (IWP Meetings with Principal) on the aforementioned components.
• Be actively involved in special events (e.g. Talent Shows, Steam Fair, Exhibitions, etc.), and provide co-curricular and / or coaching as required based on skill set
• Contribute to community building activities
• Be dependable (be where you are expected to be, complete tasks on time; punctual (arrive at school, meetings, etc. on time); and prepared for class (all materials set up and ready for student arrival; plans readily accessible).

REQUIRED QUALIFICATIONS

• A relevant Bachelor’s degree or equivalent
• A teaching certificate/credential
• Successful teaching experience
• Excellent organizational skills
• Positive communication skills
• Capacity to work collaboratively as the member of a team

EXPERIENCE

Training and experience in the International Baccalaureate MYP, or DP preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting.
• Effective selection and use of instructional strategies that leverage the linguistic and cultural assets of ELL students.
• An effective communicator with the capacity to listen, empathise, and connect, as well as teach, present, and motivate.
• A lifelong learner who keeps up-to-date with current research and best practices in teaching and learning.
• A facilitator able to build strong and productive relationships with students, parents, academic and non-academic staff, and the community.
• A change agent, who can motivate and manage positive change in complex environments.
• A strategic thinker who is able to see connections between the school’s vision and mission and IB programme philosophy and create action steps to move the school forward.
• An activator with motivation, energy, and enthusiasm to spare.
• A producer who is results oriented and has a strong sense of accountability for student success.
• A character builder and role model, whose values, words, and deeds are marked by trustworthiness, respect, and integrity.
• An active contributor whose priority is making contributions to the development and success of others.

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.

We are looking for a Senior Research Fellow to conduct to achieve our KPIs, such as publishing papers and presenting findings in conferences, proposed for the research projects in the Saheki lab at LKCMedicine. The role will focus on the overall successes of the ongoing projects, in particular the ones require iPSCs or C. elegans, in the Saheki lab. Our lab is built on diversity, mutual respect, teamwork, and collaboration, with a special emphasis on providing mentorship for young talent, including students and postdocs. We will provide exciting opportunities and vibrant atmospheres as well as state-of-arts core facilities. We also offer a highly attractive remuneration package including competitive salary and fringe benefits. Excited and motivated individuals are all encouraged to apply.

Responsibilities:

• Carry out an independent research project and collaborate with other researchers.
• Supervise junior members of the lab, including graduate students and undergraduate interns.
• Keep a log of lab materials as necessary (e.g., cell lines, plasmid DNAs, proteins, C. elegans strains, and other essential reagents).
• Present research at lab meetings and national/ international conferences.

Skills and qualifications:

• Candidates should have a PhD or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills.
• Self-motivated and well-organized with good communication and technical skills.
• Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro reconstitution) is essential.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

Center for Leadership and Cultural Intelligence (CLCI) at Nanyang Business School, is seeking a suitable candidate for the position of Research Associate. The Research Associate will be part of a dynamic team of researchers involved in spearheading high-impact research on leadership and cultural intelligence. In addition, this role offers great opportunities for acquiring research skills and capabilities.

Key Responsibilities:

• Design and manage data-collection, including set-up and administration/coordination of surveys and field interviews
• Collate quantitative and qualitative survey data and managing the database
• Conduct literature review and data analyses
• Present information in both visual and written formats

Job Requirements:

• Master’s Degree, preferably in Psychology
• Proficient in Microsoft Office (e.g. Word, Excel, Powerpoint) and other data visualization software (e.g., Tableau)
• Proficiency in statistical packages (e.g., R, SPSS) will be an advantage
• Detail-oriented, meticulous and able to work independently under time pressure
• Excellent interpersonal skills

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

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires min Diploma in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co-creates learning opportunities for a range of audiences to promote a safer and more sustainable future.

EOS is looking for ambitious, highly motivated Research Fellow (post-doctoral scholar). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate. We're looking for a collaborative individual with a passion for learning, who would enjoy working with people from a wide range of disciplines, with a goal to connecting the dots between the components.

Key Responsibilities:

• Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
• Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
• Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
• Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
• Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
• Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
• Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
• Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.

Job Requirements:

• Ph.D. in Coastal Engineering, Climate Science, or another related field.
• Post-doctoral experience is an advantage.
• Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
• Expertise and interests in climate modelling, data analysis, and statistical methods.
• Track record of publishing research relevant to the position in international recognised journals.
• Evidence of excellent communication skills.
• Evidence of independence in research direction and team spirit.

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

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

Temasek Laboratories@NTU is looking for a candidate to join them as a Senior Research Scientist.

Key Responsibilities:

• The candidate will be expected lead and conduct research in urban sensing, specially the detection, localization and classification of active and passive targets via wireless RF signals in harsh urban environments.
• The candidate will be responsible for both theoretical development of methods and experiment design to validate the developed methods.
• Additional research responsibilities include supervising junior researchers, interns, and students; conducting detailed literature review and assessment of the state-of-the-art technologies; planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management, and other duties as required.

Job Requirements:

• PhD in Electrical & Electronics Engineering or a related fields
• Strong background and knowledge in modern RF communications/ digital signal processing particularly in wireless communications and RF Array processing, with at least 10 years of research experience.
• Proven track record in research and development of algorithms.
• Proficiency in algorithm development and programming skills using MATLAB or Phyton.
• Knowledge of machine learning or deep learning techniques.
• Familiarity with Ettus USRP devices, GNU Radio/LabVIEW programming is an advantage.
• Strong publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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.

The School of MSE is globally recognized as a leader in materials science and engineering. The school consistently achieves top rankings, being ranked 2nd in the 2024 U.S. News Best Global Universities for Materials Science. Additionally, MSE is ranked 5th globally by subject in materials science in the 2024 Quacquarelli Symonds (QS) World University Rankings, reaffirming its excellence in research, innovation, and education in materials science. MSE provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research. For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow (RF) to join a newly funded project led by A/P Yang Zhao(RG2/24, Ministry of Education). This position aims to fulfill the project’s objectives of advancing three-dimensional (3D) six-wave-mixing (6WM) spectroscopy for real-time molecular materials characterization. The appointed RF will play a pivotal role in developing computational simulations, theoretical methods, and practical protocols to extract photophysical and photochemical information from 6WM spectroscopy signals. This work will significantly contribute to MSE’s and NTU’s advancement in the field of energy materials and advanced sensor development.

Key Responsibilities:

• Conduct thorough literature review and generate periodic updates;
• Lead the design and implementation of computational models for 6WM spectroscopy signals;
• Set up standardized high-throughput data collection and analysis workflows;
• Develop and optimize algorithms for complex quantum systems dynamics;
• Supervise undergraduate and graduate student projects;
• Coordinate collaborative work within external collaborators;
• Generate periodic progress reports as required by funding agency.

Job Requirements:

• PhD in Materials Science/Physics/Computational science or related fields;
• A strong track record of research ability and demonstrated contribution to research (e.g., more than 20 peer-reviewed publications, state-level grant applications, patents) required;
• At least 8 years relevant postdoctoral training or research work experience required;
• Proficiency in scientific programming (C++, Fortran, Matlab, Python);
• Familiarity with the field of open quantum system systems and non-equilibrium dynamics preferred;
• Good written and oral communication skills.

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

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

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

The School of Mechanical & Aerospace Engineering (MAE) 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 & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

To develop microfluidic-based vascular platforms for atherosclerosis, immunology and extracellular vesicles research. Responsibilities include but not limited to microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant writing, supervision of PhD students etc.

Key Responsibilities:

• Work on a project to develop novel microfluidics and organ-on-chip platforms
• Perform research related to diabetes, atherosclerosis and peripheral arterial diseases
• Perform in vitro drug testing using microfluidics and in-vitro assays
• Fabrication and validation of microfluidic devices using cell lines, blood and clinical samples.

Job Requirements:

• Interested candidate should possess a PhD degree qualification in biomedical engineering, vascular biology or a relevant biological discipline. We seek a motivated individual who can work well independently as well as with a team. He/she is preferred to have:
• Experiences in organ-on-chip and/or vascular biology research
• Experiences in basic cell and molecular biology techniques (mammalian cell culture, PCR, RT-PCR and ELISA), microscopy and flow cytometry
• Experiences in immunology or extracellular vesicles is an advantage
• Strong publication track record

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in transition metal catalysis at the Zhong Group. CCEB is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Research Fellow will take on a significant role in conduct cutting-edge research in transition metal catalysis and organic methodology.

Key Responsibilities:

• Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry.
• Assist in instrument installation and maintenance, and acquisition of lab consumables.
• Mentor junior researchers and teach organic chemistry lab skills, oversee lab safety.
• Present research progress in group meetings and private meetings.
• Organize results for publications.

Job Requirements:

• PhD in organic chemistry
• At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions.
• Solid analytical skills including NMR, mass spec, chiral GC/HPLC, polarimeter, IR, UV/VIS, etc.
• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We regret that only shortlisted candidates will be notified.

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Predict nonlinear responses of quantum materials
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements

• PhD in Physics
• Self-motivated with solid background in group theory
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry
• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames
• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics
• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics
• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

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

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

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.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

We are an equal-opportunity employer and value diversity among our teachers, staff and students.

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders. We're an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

If you are looking to work with enthusiastic students from around the world, we invite you to submit your application and become part of our dynamic school community.

Overall Responsibilities:

• To teach and educate students according to guidelines provided by the school’s curricular programmes - Secondary, IGCSE and IB Diploma.
• To teach and educate students according to the educational needs, abilities and attainment potential of individual students entrusted to his/her care by the Head of School.
• To promote the attributes and attitude of the IB Learner Profile and the school values.

Includes the below but not limited to -

• Teach across the whole age range, including Secondary, IGCSE and IB Diploma.
• Design, prepare and deliver lessons to teach knowledge, techniques, support and enhance each learner’s understanding.
• Collaborate with colleages to ensure that every learners' individual needs are catered for through differentiated planning, learning engagements and assessment opportunities.
• Assess and monitor the progress of learners and set goals for improvement, including writing students reports and attending parents meetings.
• Lead or be involved in extra-curricular activities, school events, assemblies, staff trainings, meetings, etc.
• Promote the health, safety and wellbeing of all students.

Requirements:

• Minimum two (2) years or more relevant full-time teaching experience as a qualified teacher.
• Candidate must at least possess Bachelor's degree and a Professional Degree in Teaching/Teaching qualification certificates (PGDE, PGCE, PGCEi, NIE Diploma)/Valid Teacher License/QTS.
• Strong knowledge and experience of teaching Science for Secondary, IGCSE and IB level preferred.
• Experience in an international school environment (preferred).
• A passionate educator with the ability to deliver student-centred, inquiry based learning.

Working Location: Nanyang Campus (Jurong West)

Join Our Team!
Are you ready to inspire the next generation of thinkers and problem solvers?

We are seeking dedicated Secondary Math and Science Educators to join our vibrant teaching team.

If you thrive in a dynamic environment and are passionate about shaping young minds, we want to hear from you!

About Us
We are an established learning centre with over 1,000 students across our branches. Our team of qualified and dedicated educators uses a carefully designed curriculum to teach a range of subjects from Primary to JC levels. Through fun and interactive methods, we inspire students to excel academically and develop strong character.

Why Join Us?

• Collaborative Work Culture: Be part of a supportive team committed to excellence in education.
• Work-Life Balance: Enjoy a structured 5-day work week.
• Career Development: Opportunities to contribute to curriculum innovation and enhance your professional growth.

Working Hours

• Monday & Tuesday: Off
• Wednesday & Thursday: 3:30 PM – 10:00 PM
• Friday: 2:00 PM – 10:00 PM
• Saturday: 9:00 AM – 8:30 PM
• Sunday: 9:00 AM – 6:30 PM

Your Responsibilities

• Deliver engaging lessons in Secondary Mathematics and Science, ensuring students meet learning objectives.
• Develop lesson plans, worksheets, and teaching resources tailored to the Singapore curriculum.
• Assess and provide feedback on students' work to track and support their progress.
• Collaborate with colleagues to refine teaching strategies and contribute to curriculum development.

What We Are Looking For

• Bachelor’s degree in Mathematics, Science, or Education-related fields.
• At least 1-2 years of teaching experience preferred, but fresh graduates passionate about teaching are welcome to apply.
• Familiarity with the Singapore secondary school curriculum.
• Strong interpersonal skills, with the ability to motivate and engage students.
• Availability to work on weekends and within the stated working hours.

What We Offer

• Competitive salary package based on qualifications and experience.
• Opportunities for professional growth and learning.
• A fulfilling career where you make a real difference in students' lives.

Application Details
We welcome candidates from all backgrounds who meet the job requirements. Join us in creating an inclusive and enriching learning environment!

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

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

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

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

Join Our Team!
Are you ready to inspire the next generation of thinkers and problem solvers?

We are seeking dedicated Secondary Math and Science Educators to join our vibrant teaching team.

If you thrive in a dynamic environment and are passionate about shaping young minds, we want to hear from you!

About Us
We are an established learning centre with over 1,000 students across our branches. Our team of qualified and dedicated educators uses a carefully designed curriculum to teach a range of subjects from Primary to JC levels. Through fun and interactive methods, we inspire students to excel academically and develop strong character.

Why Join Us?

• Collaborative Work Culture: Be part of a supportive team committed to excellence in education.
• Work-Life Balance: Enjoy a structured 5-day work week.
• Career Development: Opportunities to contribute to curriculum innovation and enhance your professional growth.

Working Hours

• Monday & Tuesday: Off
• Wednesday & Thursday: 3:30 PM – 10:00 PM
• Friday: 2:00 PM – 10:00 PM
• Saturday: 9:00 AM – 8:30 PM
• Sunday: 9:00 AM – 6:30 PM

Your Responsibilities

• Deliver engaging lessons in Secondary Mathematics and Science, ensuring students meet learning objectives.
• Develop lesson plans, worksheets, and teaching resources tailored to the Singapore curriculum.
• Assess and provide feedback on students' work to track and support their progress.
• Collaborate with colleagues to refine teaching strategies and contribute to curriculum development.

What We Are Looking For

• Bachelor’s degree in Mathematics, Science, or Education-related fields.
• At least 1-2 years of teaching experience preferred, but fresh graduates passionate about teaching are welcome to apply.
• Familiarity with the Singapore secondary school curriculum.
• Strong interpersonal skills, with the ability to motivate and engage students.
• Availability to work on weekends and within the stated working hours.

What We Offer

• Competitive salary package based on qualifications and experience.
• Opportunities for professional growth and learning.
• A fulfilling career where you make a real difference in students' lives.

Application Details
We welcome candidates from all backgrounds who meet the job requirements. Join us in creating an inclusive and enriching learning environment!

Join Our Team!
Are you ready to inspire the next generation of thinkers and problem solvers?

We are seeking dedicated Secondary Math and Science Educators to join our vibrant teaching team.

If you thrive in a dynamic environment and are passionate about shaping young minds, we want to hear from you!

About Us
We are an established learning centre with over 1,000 students across our branches. Our team of qualified and dedicated educators uses a carefully designed curriculum to teach a range of subjects from Primary to JC levels. Through fun and interactive methods, we inspire students to excel academically and develop strong character.

Why Join Us?

• Collaborative Work Culture: Be part of a supportive team committed to excellence in education.
• Work-Life Balance: Enjoy a structured 5-day work week.
• Career Development: Opportunities to contribute to curriculum innovation and enhance your professional growth.

Working Hours

• Monday & Tuesday: Off
• Wednesday & Thursday: 3:30 PM – 10:00 PM
• Friday: 2:00 PM – 10:00 PM
• Saturday: 9:00 AM – 8:30 PM
• Sunday: 9:00 AM – 6:30 PM

Your Responsibilities

• Deliver engaging lessons in Secondary Mathematics and Science, ensuring students meet learning objectives.
• Develop lesson plans, worksheets, and teaching resources tailored to the Singapore curriculum.
• Assess and provide feedback on students' work to track and support their progress.
• Collaborate with colleagues to refine teaching strategies and contribute to curriculum development.

What We Are Looking For

• Bachelor’s degree in Mathematics, Science, or Education-related fields.
• At least 1-2 years of teaching experience preferred, but fresh graduates passionate about teaching are welcome to apply.
• Familiarity with the Singapore secondary school curriculum.
• Strong interpersonal skills, with the ability to motivate and engage students.
• Availability to work on weekends and within the stated working hours.

What We Offer

• Competitive salary package based on qualifications and experience.
• Opportunities for professional growth and learning.
• A fulfilling career where you make a real difference in students' lives.

Application Details
We welcome candidates from all backgrounds who meet the job requirements. Join us in creating an inclusive and enriching learning environment!

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.

Research Engineer, Algorithm and Operation Researcher for VR/AR system development

• Support the development of advanced VR/AR systems to enhance research. This position focuses on developing Unity-based applications, designing and integrating virtual environments with real-time tracking data for immersive visualization.

Key Responsibilities:

• Join the team to development of advanced VR/AR systems:
• Develop Unity-based applications for dynamic visualization and seamless user interaction.
• Design and implement immersive VR environments.
• Create and enhance high-resolution 3D models of animal and terrains, adding articulated joints for realistic movement and animation of animal model.
• Complete necessary technical documentation writing, summarizing and recording according to project progress.
• Collaborate with the team to achieve project milestones and undertake additional tasks required for successful project completion.

Job Requirements:

• Bachelor’s degree/master’s degree/PhD in computer science, electrical engineering, mechanical engineering or relevant area.
• At least 2 years of experience in Unity or Unreal Engine development.
• Experience with 3D modelling software (e.g., Blender, Maya).
• Proficiency in C# programming.
• Familiarity with VR hardware, especially Meta Quest Pro or equivalent devices.
• Hands-on experience with VICON tracking systems or similar technologies is advantageous.
• Relevant project experience in VR/AR development.

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 associate to work on the development of an AI-power capsule endoscope that emulate a human eye for tracking a fast moving object.

The research associate will work on a project to conduct the investigation on development of ingestible robotic system to enable continuous monitoring of disease relevant biomarkers and decision-making for on-demand delivery of therapeutics in the gastro intestinal tract in a non-invasive and automated manner. Novel sensors and actuators as well as their circuit design interface and algorithms for will be investigated.

Key Responsibilities:

• Development of circuit for implementing FPGA and microcontroller for implementing edge computing in ingestible/implantable electronics.
• Development of AI accelerator for encryption of wireless communication in medical electronics.

Job Requirements:

• MSc in Electrical and Electronic Engineering, computer engineering, or related field
• 4-year research experience in related area
• Expertise in embedded system and FPGA
• Knowledge in interfacing circuit design for low power sensing and wireless communication
• Experiences in biosensors and actuators for biomedical applications are highly preferred
• Publication track record is an advantage
• Proficiency in basics of programming languages such as C, C++ and Python

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.

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

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

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills