Do you have the expertise to ignite curiosity in young minds?

Step into a dynamic teaching role where your Science knowledge becomes a gateway to discovery!

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: Focus on showcasing your talents while we handle the rest.
• Direct Communication: Stay informed and guided at every stage.
• Personalized Advice: Position your strengths effectively with our expertise.

Job Description & Responsibilities:

• Conduct engaging Science lessons (Physics and Chemistry) tailored to Secondary-level students.
• Prepare lesson materials, worksheets, and experiments to deepen understanding.
• Evaluate student progress through assessments and provide constructive feedback.
• Contribute to the continuous improvement of the Science curriculum.
• Foster a stimulating and inclusive learning environment.

Job Requirements:

• Degree in Science or a related field, specializing in Physics and/or Chemistry.
• At least 1-2 years of teaching experience in Singapore’s Secondary Science curriculum.
• Ability to communicate complex concepts effectively and engagingly.
• Strong classroom management skills and a student-centered approach.
• Energetic, adaptable, and dedicated to inspiring a love for Science.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Bring Science to life and inspire young learners to explore the wonders of the universe.

Apply today to make an impact that lasts a lifetime!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

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

Key Responsibilities:

• Design a secure protocol to link the blockchain and the physical world by attaching a smart tag with the physical component
• Propose a novel and elegant consensus protocol based on verifiable random functions
• Write a research paper to report the fundamental theoretical advances on blockchain scalability and security
• Implement proof-of-concept prototypes for our designed blockchain-based system and conduct extensive experiments to evaluate its scalability and security
• Write a research paper to report the design and implementation of our novel blockchain-based system for tracking supply chains

Job Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Network Security Engineering or related areas
• Good communication and coordination skills
• Positive working attitude and a good team player
• Strong sense of responsibility and able to work independently with minimal supervision
• Self-motivated and able to multi-task

We regret that only shortlisted candidates will be notified.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Job Purpose:

Assess students’ functional physical development level; planning and implementing appropriate intervention treatment to meet individual student objectives; provide recommendations for accessibility, program development and student placement.

Key Responsibilities:

Evaluation & Assessment

• Assess and identify individual needs of students related to occupational therapy issues and concerns to develop intervention procedures.
• Provide re-assessment, review of goals and progress regularly to track students’ progress
• Evaluate, prescribe and provide provision of adaptive equipment / assistive devices as required by the student(s) to improve function.
• Monitor and evaluate student’s functional abilities and make recommendations regarding student’s suitability to prepare students for work/attachment.
• Collaborate with other disciplines to provide team understanding of student occupational performance strengths and needs.
• Evaluate the student’s ability and formulate the student’s occupational profile through a variety of functional, behavioral, and standardized assessments, skilled observation, checklists, histories, and interviews to gather informative data
• Synthesize evaluation results into a comprehensive written report to facilitate student participation in the educational environment, for program development and evidence-based intervention.
• Develop occupationally based intervention plans based on student needs and evaluation results to support student needs and development.
• Participate in multidisciplinary meetings to review evaluation results, integrate findings with other disciplines, offer recommendations, and develop individual education plans and intervention plans to achieve IEP goals.

Program Planning / Intervention

• Formulate / develop and implement appropriate individualized occupational therapy programs to improve student’s functional performance and skills.
• Design classroom-based programs that integrated with the curriculum to improve student’s functional performance and skills
• Select and prepare functional activities that can be easily modified to match student’s skill and interest thus ensure success.
• Provide classroom and work site modifications to improved student functional performance and skills.
• Conduct home visit to support student treatment needs.
• Provide parent /caregiver support such as home program to encourage continuity of the occupational therapy intervention at home.
• Provide classroom and work site modifications to support treatment needs.
• Assist with aspects of training for students on job-trial and work preparation program to support student functional performance and skills
• Educate student, educational personnel, and family to facilitate skills in areas of occupation as well as health maintenance and safety.

Program Administration and Management

• Maintain clinical and administrative records of students to uphold professional standards and school system policy.
• Manage inventory of therapeutic equipment and assessments, and project needs to support budget planning. Keep proper inventory of all equipment and fixtures with regular updating for accountability.
• Propose and justify budget to manage OT program
• Participate actively in continuing education program within the organization, NCSS and other professional bodies to improve support services.
• Conduct in-house training programs to upgrade the professional knowledge and skills for relevant staff / parents / caregivers / volunteers in the organization to provide professional input to stakeholders.
• Submit monthly report and other related written reports to the executive director and school principal to support strategic operations.
• Review occupational therapy services to make quality improvement and changes.
• Collate and prepare High Need Grants documents.
• Conduct meeting with Allied Professional (AP) staff to review occupational therapy services for quality improvement and makes changes as needed.
• Prepare agenda for AP meeting with the Principal. Vet the minutes of AP assistant taken during AP meeting to track follow up actions and accuracy of report.
• Induct new teacher, volunteer, and teachers on work attachment to help them to understand AP services.

Professional Consultation

• Provide consultation to teachers and other related professional staff to improve students’ functional performance and skills.
• Liaise with various discipline involved in the rehabilitative treatment process. (e.g teachers, parents, principal, school administrator and professional staff to support student needs
• Liaise with various professional disciplines in the rehabilitative treatment process to improve student results.

Professional Growth and Ethics

• Participate in continuing education for professional development to provide practice that is consistent with best practice.
• Use professional literature, evidence based research, and continuing education content to make practice decisions.
• Use professional code of ethics and standards of practice to guide ethical decision making in practice.

Admission and Review

• Conduct screening of applicants for placement in school to support strategic operation.
• Assess the child’s numeracy/literacy skills, behavior, motor skills, and sensory issues to support placement for learning.
• Meet the parents to feedback on classroom observation to provide support services.
• Prepare the screening reports and meet the admission and review committee to discuss the outcomes of the application.
• Attend to walk-in parents and phone inquiries to answer query on admission.
• Attend to MAAP meeting for student placement
• Support teachers in managing students during crisis situation to support student needs.

Job Requirements:

• Degree in Occupational Therapy recognised by the AHPC with 3 to 5 years clinical experience.
• Applicants the relevant qualifications with no working experience are welcomed to apply.
• Interpersonal skills, Classroom management skills, takes Initiative, effective communication, Passionate, Creative, Non-Judgmental
• Relevant work experience with children and young adults with intellectual disability would be an advantage
• Ability to work with minimum supervision
• Valid practising certificate with Allied Health Professional Council (AHPC)
• Strong in verbal and written English

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

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

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

We regret that only shortlisted candidates will be notified.

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

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

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

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

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to Support research in exploring mechanistic interpretability of vision-language models. Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. This research aims to study the processing of visual tokens in the language model component of VLM. The role will focus on analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.

Key Responsibilities:

• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s / Master’s degree in computer science or related field
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

​

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

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy, security and blockchain, which are important components of digital trust platforms. The role will focus on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productized into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into the product.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in Python; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus.
• Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting with experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with version control systems (Git) and collaborative development tools.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, including tasks like data preprocessing, feature extraction, and model training/evaluation. Strong knowledge of machine learning, deep learning (e.g., knowledge graphs, AI testing, machine unlearning).
• Experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) with strong understanding of software engineering principles and best practices as well as attention to ethical considerations in AI, including data privacy and security.
• Ability to communicate technical concepts to both technical and non-technical stakeholders, with strong analytical, problem-solving, and collaborative skills
• Self-motivated, able to work independently in a fast-paced environment.

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

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a motivated and independent Research Associate to join our team and drive innovative research in air traffic management.

Key Responsibilities:

• Assists in the development of the air traffic management tools to maintain situational awareness, decision-making efficiency, and smooth coordination when operating under the multi-sector planner operational concept.
• Implementation of back-end algorithms into a user interface suitable for validation exercise at technology readiness level 4.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge.
• Conducting original research, publishing in leading journals and conferences, mentoring junior researchers, and facilitating collaborations with industry and academic partners.

Job Requirements:

• A Master’s degree in aerospace engineering, operations research, or a related field;
• Research experience/Domain knowledge in ATM is highly advantageous.
• Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Capable of managing multiple tasks effectively, both independently and as part of a collaborative team.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

You will work closely with the Principal Investigator (PI) and research study team members in the development and validation of a new psychometric instrument aimed at measuring multimorbidity within a primary healthcare setting. This instrument will be integral to facilitating better patient care and informing primary healthcare interventions and policies.

• Collaborate and assist in the design and development of a new robust psychometric instrument, or the validation of an existing one, for measuring multimorbidity.
• Collaborate with study investigators to define key constructs and dimensions of multimorbidity.
• Develop survey items and scales that accurately capture the localised complexities of multimorbidity in a primary healthcare setting, adapting from existing measures and methodologies.
• Perform pilot testing and statistical analyses to evaluate validity and reliability of the instrument(s).
• Present findings and recommendations to study team
• Provide training and support to study team members on the use of the psychometric instrument(s).

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

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

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

Join the laboratory of Assoc. Prof. Elbert Chia at SPMS. We are seeking a Research Fellow to contribute to a project focused on measuring the current-phase relation of a Josephson junction in superconductor-based structures, using a tunnel-diode-based penetration depth setup.

Key Responsibilities:

• Operation, maintenance, and modification of the tunnel-diode-based penetration depth setup in Prof. Chia’s laboratory
• Management of project issues, including related paperwork
• Measurement of the London penetration depth in superconductors
• Preparation of scientific publications

Job Requirements:

• A Ph.D. degree in physics is mandatory.
• Demonstrated strong experimental skills
• Demonstrated ability to publish high-tier research publications.
• Excellent verbal and written communication skills (including scientific writing).
• Ability to work independently but also to work as part of a team, e.g., collaborating with the group members as well as researchers from other labs.

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 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

Innovative Electronic & Electromagnetic Devices Laboratory (i-Lab) at Nanyang Technological University (NTU) is looking for a Research Assistant to conduct research in the field of cryogenic microelectronics. The role will focus on design, simulation, and experimental characterization of novel cryogenic microelectronic devices.

We are looking for a Research Assistant to conduct research in the field of cryogenic microelectronics. The role will focus on design, simulation, and experimental characterization of novel cryogenic radiofrequency switches.

Key Responsibilities:

• Theoretical investigations on new cryogenic microelectronic components.
• Design and Multiphysics simulation of semiconductor radiofrequency components.
• Experimental characterization of microelectronic components.
• Providing general research support to i-Lab.

Job Requirements:

• Minimum Bachelor’s degree in Electrical Engineering or related field
• Expertise in simulating microelectronic components, complemented by advanced analytical skills.
• Good written and oral communication skills
• Good team working skills
• Entry level candidates are welcome to apply

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

The School of Electrical & Electronic Engineering (EEE) invites applications for the position of Research Fellow.

To support the research for the project of “THz metasurfaces”, EEE is seeking to hire a responsible research fellow for the coordination, lab management and assistance of the research project of THz nanophotonics for sensing and imaging applications.

The Research Fellow will work on a project to conduct the research on development of nanophotonic structures for THz applications.

Key Responsibilities:

• Conduct research and develop theoretical models for THz nanophotonics for sensing and imaging applications.
• Apply numerical models, design photonic chips and measurement of the research above.
• Collaborate with interdisciplinary teams and contribute to joint research projects.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with nanophotonics.
• Excellent publication records will be preferred.
• Experience in matlab, MEEP, RCWA and other softwares and algorithms.
• Good understanding of THz sensing and imaging.
• Strong knowledge of optical physics, while experimental experience would be preferred.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage projects, and meet deadlines.
• Effective communication and presentation skills.
• Attention to detail and commitment to scientific rigor.

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 #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

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

Key Responsibilities:

• The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve transportation related problems:
• Develop mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles
• Conduct computer programming to verify the efficiency of the designed solution algorithms
• Conduct survey to better understand the travelers’ perception towards the new technology based public transport services
• Analyze data acquired from the field survey
• Develop mathematical models to predict passenger demand for public transport services with autonomous vehicles

Job Requirements:

• Preferably PhD in computer engineering, transportation engineering or related field.
• Expertise in computer programming
• Knowledge in urban transportation studies, traffic flow theory, operation research
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• 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.
• 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.

Do you have the expertise to ignite curiosity in young minds?

Step into a dynamic teaching role where your Science knowledge becomes a gateway to discovery!

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: Focus on showcasing your talents while we handle the rest.
• Direct Communication: Stay informed and guided at every stage.
• Personalized Advice: Position your strengths effectively with our expertise.

Job Description & Responsibilities:

• Conduct engaging Science lessons (Physics and Chemistry) tailored to Secondary-level students.
• Prepare lesson materials, worksheets, and experiments to deepen understanding.
• Evaluate student progress through assessments and provide constructive feedback.
• Contribute to the continuous improvement of the Science curriculum.
• Foster a stimulating and inclusive learning environment.

Job Requirements:

• Degree in Science or a related field, specializing in Physics and/or Chemistry.
• At least 1-2 years of teaching experience in Singapore’s Secondary Science curriculum.
• Ability to communicate complex concepts effectively and engagingly.
• Strong classroom management skills and a student-centered approach.
• Energetic, adaptable, and dedicated to inspiring a love for Science.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Bring Science to life and inspire young learners to explore the wonders of the universe.

Apply today to make an impact that lasts a lifetime!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

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

Position Available: Research Associate

SBS invites applications for the position of Research Associate in Professor Zbynek Bozdech’s group. This role focuses on functional omics studies of the malaria parasite, including Transcriptomics, Proteomics, and Genomics.

Key Responsibilities:

• Perform bioinformatic analyses on bulk, single-cell, and multi-omics sequencing datasets from diverse sources (e.g., patients, in vivo, in vitro).
• Identify novel biomarkers, key regulators, mechanisms, or pathways using datasets such as whole genome sequencing and RNA-seq.
• Develop and maintain bioinformatic pipelines for genomics and transcriptomics processing and analysis.
• Stay updated on advancements in bioinformatics and data science, integrating new methodologies into research workflows.
• Collaborate with cross-functional teams to incorporate bioinformatic solutions into broader research projects.
• Any other duties as assigned.

Job Requirements:

• A Master’s degree in Bioinformatics, Computational Biology, Biology, or Biochemistry.
• Advanced expertise in bioinformatics, with knowledge of population-scale genomics.
• Proficiency in programming languages such as R and/or Python.
• Experience working in a Linux/Unix environment.
• Strong problem-solving skills and excellent attention to detail.

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.

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

LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU Singapore’s School of Electrical and Electronic Engineering (EEE) is a leading research hub advancing semiconductor lighting and display technologies. The center focuses on high-efficiency LED lighting, flexible displays, and advanced optoelectronic devices, while pioneering materials science and nanotechnology. Equipped with state-of-the-art facilities, it collaborates with industry, academia, and government to translate research into practical innovations, emphasizing energy-efficient lighting and materials. LUMINOUS! excels in fabricating devices using high-quality semiconductor nanocrystals, including II-VI, III-V, and perovskites, driving progress in the field.

This Research Fellow position is dedicated to advancing innovative research in the development of extreme ultraviolet (EUV) light sources, with a primary focus on the growth, characterization, and optimization of advanced multilayer thin films. The Research Fellow will oversee all cleanroom activities associated with the project and ensure the successful delivery of project objectives. This role directly supports NTU's mission to drive technological innovation and uphold academic excellence.

Key Responsibilities:

• Lead research on the growth and characterization of advanced multilayer thin films using techniques like sputtering, e-beam, CVD, and ALD.
• Fabricate various nanostructures and conduct field emission experiments.
• Perform comprehensive characterizations using SEM, EDS, TEM, AFM, XPS, and other advanced tools.
• Analyze experimental results and publish findings in top-tier scientific journals.
• Manage project deliverables, timelines, and reports.
• Mentor PhD students and junior researchers, supporting their development in research methodologies and project execution.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Physics, Materials Science or a closely related field.
• Extensive cleanroom experience is essential.
• Strong expertise in thin-film growth, semiconductor fabrication, and advanced thin-film characterization, with proficiency in techniques such as SEM, EDS, TEM, AFM, XPS, surface profiling, etc.
• Strong understanding of high vacuum systems and high-voltage operations and cavity development.
• A robust publication record in high-impact journals is highly desirable.
• Excellent written and verbal communication skills.

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

http://www.eee.ntu.edu.sg 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 more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are 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.

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

We are looking for a research fellow to work on development of silicon composite anode for lithium-ion batteries. The role will focus on deposition of a-Si and characterization of pristine and lithiated Si anode as well as the numerical analysis of its mechanical behavior.

Key Responsibilities:

• Deposition and synthesis of nanomaterials
• Characterization of materials
• Electrochemical cell fabrication and its evaluation
• Writing report to meet requirement of the project
• Communication with funding agency including regular meeting

Job Requirements:

• Minimum PhD degree in Electrical Engineering or related field.
• At least 4 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Familiarity with required scope
• Good written and oral communication skills
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

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

The School of Mechanical & Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research for Autonomous Navigation Algorithm for eVTOL Development under the eVTOL Research and Innovation Centre.

Key Responsibilities:

• The candidate will be leading the development of autonomous navigation algorithm for eVTOL aircrafts.
• The work will involve sensor fusion, development of perception, computer vision, machine learning methods and path planning for eVTOL, test rig set-up, and experimental validation.

Job Requirements:

• Candidate must at least have a Ph.D. Degree in Aeronautics and Astronautics Engineering, Aerospace, Engineering, Control Engineering, Automation, Mechanical Engineering, Robotics, AI, etc.
• Strong background in autonomy and control, and automation.
• Candidates having relevant research or working experience in unmanned aerial vehicle systems will be preferred.
• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.
• Able to contribute to Journal/Conference papers with good presentation

We regret that only shortlisted candidates will be notified.

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

The Senior Research Fellow will contribute to advancing siRNA therapeutics research, focusing on scaffold design and preclinical evaluation. The role includes conducting studies and collaborating with a team to innovate and optimize protocols related to siRNA therapeutics.

Key Responsibilities:

• Design and evaluate siRNA scaffolds for activity, stability, specificity, and biosafety.
• Conduct studies in siRNA synthesis, internalization, knockdown assays, RISC loading, and protein expression.
• Develop and optimize protocols for siRNA-based cellular studies.
• Collaborate with senior scientists and PhD students to drive research and innovation.

Job Requirements:

• PhD in Biological Sciences, Bioengineering or relevant disciplines
• Demonstrated track record in biological and animal studies, innovation, and technology translation.
• Experience in siRNA-based research and preclinical evaluation.

We regret that only shortlisted candidates will be notified.

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education, Nanyang Technological University (NTU) and National University of Singapore (NUS). Hosted by NTU in partnership with NUS, SCELSE is linking new insights from the life sciences with expertise from emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities.

We are seeking to appoint a motivated individual to join our team at SCELSE as a Research Fellow. The successful candidate will lead projects that focus on obtaining a detailed molecular mechanistic understanding of microbial biofilm development, and microbe-microbe interactions, in settings relevant to food spoilage and the food chain. The selected candidate will work independently, with other team members, and with collaborators to perform both in vivo and in vitro experiments to address specific scientific questions related to biofilm development/community interactions in these settings.

Key Responsibilities:

• To plan, perform and document laboratory experiments to study biofilm development and community interactions.
• Work closely with the Principal Investigator to analyse and interpret data, troubleshoot experiments and write manuscripts on research outputs.
• To train students/staff in the lab in relevant techniques and contribute to co-supervision of some of these team members.

Job Requirements:

• PhD in biology, biomedicine, microbiology or a related field.
• Experience in general microbiology processes is essential.
• Ability to design, plan, and execute experiments independently is essential.
• Experience in biofilm research is desirable but not essential.
• Experience with metagenomics, metabolomics and fluorescence microscopy is desirable but not essential.

** Initial contract duration for 12 months, with the potential for extension.

We regret that only shortlisted candidates will be notified.