Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Associate.

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• 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:

• Master's degree in related field.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

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

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

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

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

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

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

The National Institute of Education (Nanyang Technological University, Singapore) invite suitable applications for the position of Research Associate on a one-year contract (with possibilities of extension) at the Office of Education Research, Science of Learning in Education Centre (SoLEC).

Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review

Project Information: The main objective of this project is to synthesize work on interventions that have been designed to level-up students who face difficulties in literacy, numeracy, and well-being from Primary to Secondary levels, including those from disadvantaged backgrounds or with special needs. By means of a PRISMA framework, we will conduct a systematic literature search and screening to identify eligible articles for each topic. A preliminary literature search will be conducted to estimate the amount of literature on each topic. As approach to synthesize the literature, we will use an umbrella review for each topic, i.e., focusing on meta-synthesis, synthesis, and review literature. The findings will allow the identification of effective interventions for each topic in facing challenges throughout the students’ school period.

Requirements:

• Academic qualification:

Master’s degree in Education and/or Psychology or similar areas

• Work experience:Prior experience conducting systematic literature reviews
  Prior experience conducting qualitative and quantitative analysis
  Prior experience conducting meta-analysis
  Prior experience disseminating research findings targeting the general public and academic audiences
  
  
• Desirable interests, skills, and attributes:Passion for teaching and learning
  Interest in effective teaching in school settings
  Have good communication and organizational skills
  Have good interpersonal skills
  Be a good team-player, proactive, and able to work independently
  

Responsibilities:

• To conduct systematic literature reviews (summarizing, coding, and organizing relevant literature).
• To compute different statistical analyses for the findings obtained.
• To contribute to research translation and dissemination of findings targeting the general public and academic audiences.
• To perform other tasks as required by the Principal Investigators.

Application

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

Workday Job Requisition ID: R00019323

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019323)

Closing Date

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

Research Assistant

The Earth Observatory of Singapore (EOS) invites applications for the position of Research Assistant who will work with Assistant Professor Aron Meltzner’s research group.

Key Responsibilities:

• Assist with surveying, sample collection, sample processing, carrying of equipment, and similar tasks
• Analyze and interpret tide-gauge data and sea-level proxy data from coral microatolls
• Arrange logistics and handle administrative requirements associated with field work, locally and overseas
• Assist with procurement of equipment and supplies, and similar administrative tasks
• Assist with obtaining research permits, and writing and submitting annual reports
• Participate in the preparation of presentations for conferences and of manuscripts for publication

Job Requirements:

• The candidate should possess a Bachelor’s degree in geological or environmental sciences or similar field.
• The candidate should have extensive field experience in geological or environmental sciences, including field surveying and working in coastal environments.
• The candidate should have working knowledge of coral microatolls and how they grow.
• The candidate should have experience in Adobe® Photoshop®, Adobe® Illustrator®, Microsoft® Excel®, QGIS, R, RStudio, and Agisoft Metashape.
• The candidate must be able to swim, as this will be essential when working in the field.
• Experience doing remote field work overseas will be advantageous.
• Willingness to work occasional early mornings, evenings, or weekends (with time off in lieu as appropriate) is essential, as the timing of field work is dictated by tides and seasons.

Application Procedure:

Interested applicants are invited to submit a full CV for consideration for the post.

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

Job Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

The National Institute of Education invites suitable applications for the position of Research Fellow on a 6-month contract at the Natural Sciences and Science Education Academic Group Department.

Project Title: Sn-based alloy-carbon nanoassemblies for sodium-ion batteries using plasma-based sustainable technologies (RI 7/22 RSR )

Project Introduction: Sustainability of lithium-ion batteries in long run, as major energy storage system, is not possible due to limited resource of lithium and increasing cost. Hence, focus on sodium-ion batteries (SIBs) is increasing as sodium is abundantly available at much lower cost. The biggest challenge for SIBs is to find suitable anode material with appropriate sodium voltage storage, large reversible capacity, and high structural stability. Moreover, the synthesis process of anode material needs to be cost, time and energy efficient. It is hypothesized: (i) Carbon (GraphiticCarbon/Graphene/GrapheneQuantumDots = GC/G/GQD) encapsulated nanostructured-tin (ns-Sn), i.e. GC/G/GQD@ns-Sn, as anode in SIBs will accommodate volume change, prevent formation of excessively thick SEI layer, and avoid pulverization leading to enhanced capacity, capacity retention and stability. (ii) Plasma based strategy, as against wet chemical approach, can provide sustainable environmentally friendly synthesis of GC/G/GQD@ns-Sn with better energy-, time- and cost- efficiency. Specific aims are: (i) to develop and optimize the plasma based sustainable synthesis of integrated hybrid 3D GC/G/GQD@ns-Sn anode in core-shell configuration, and (ii) to develop and test industry relevant SIB prototype using the most optimized carbon-Sn combination and bench mark its capacity, efficiency, cycling and stability. Synthesis of ns-Sn onto suitable 3D foam substrate using plasmas will be achieved first. Afterwards, GC/G/GQD will be encapsulated onto ns-Sn using plasma strategy to form GC/G/GQD@ns-Sn. Structural, compositional, morphological properties of electrode material along with their detailed electrochemical characterization and performance analysis will be conducted to achieve best battery performance.

The Research Fellow hired for this project at NIE will work on synthesis and optimization of GC/G/GQDs@ns-Sn as anode electrode material using plasma based dry process. He/she will also be responsible for the characterization (SEM, EDX, XRD, RAMAN, TEM, XPS etc) and performance evaluation (using battery tester and electrochemical workstation) of the anode electrode material.

Requirements:

Essential

• A PhD in Physics or Engineering with a strong background in low-temperature processing and synthesis of materials.
• Strong experience in development, operation and optimization of various plasma devices and associated diagnostics.
• Strong experience on energy storage materials for sodium ion batteries.
• Expert on using various material characterization facilities SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Expert on using electrochemical workstation and battery tester with experience on electrochemical performance analysis of batteries.
• Good written and verbal communication skills with evidence of proven writing skills from research papers and research reports.
• At least 5-year of experience on plasma devices and material characterization tools.

Preferred

• Good knowledge of lab safety issues
• Good organizational skills
• Able to work within given deadlines with an eye for details
• Able to work independently with minimum supervision
• Able to supervise Ph.D. candidates

Responsibilities

• Operationalize and optimize low-temperature radiofrequency PECVD system for processing and synthesis of battery electrode material.
• Perform relevant plasma diagnostics such optical emission spectroscopy to estimate plasma parameters.
• Perform various material characterizations using SEM, EDX, XRD, RAMAN, TEM, XPS etc
• Perform electrochemical performance testing and analysis and battery tester with experience on electrochemical performance analysis of batteries.
• Write research reports and papers.
• Other related 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: R00019322 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Natural-Sciences-and-Science-Education-Department--NIE-_R00019322)

Closing Date

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

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

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

We regret that only shortlisted candidates will be notified.

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in heterogeneous catalysis to develop improved catalyst formulations for conversion of plastic waste into carbon nanotubes and hydrogen.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to develop catalysts that will allow to reduce catalyst cost and increase carbon nanotubes yield to make the process more economically viable.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Catalyst formulation and testing in pyrolysis-CVD process;
• Liaising with toll manufacturers regarding the feasibility of scaled up catalyst production.
• Cost-benefit analysis for the developed catalyst(s).
• Publishing research papers and documenting developed intellectual property. Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to heterogeneous catalysis (e.g., Chemical Engineering, Materials Science, Environmental Engineering or other).
• PhD thesis or postdoctoral experience related to heterogeneous catalysis for at least one of the following areas: (a) catalytic waste conversion into carbon nanotubes and hydrogen, (b) catalytic single-walled and/or multi-walled carbon nanotube synthesis from any feedstocks.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results even under challenging circumstances and understanding what needs to be done to deliver the project.

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

Job Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

Designation: Primary Science Technician

Department: Early Years and Primary School

Grades: SK - Grade 6

Reports to: Vice-Principal

Works collaboratively with: Teachers, PYP Coordinators

Assigns task to / supervises: None

KEY ACCOUNTABILITY (Main purpose of this job):

The Primary School Science Technician will support teachers in all aspects of science teaching with the PYP. This includes organising and maintaining resources and providing in-class support working with teachers and students where required.

RESPONSIBILITIES:

General Responsibilities

• Assist and guide students by demonstrating appropriate support, patience, kindness and caring
• Develop students’ self-esteem and positive self-concept
• Supervise, observe and encourage positive student behavior in a developmentally appropriate way, and in keeping with the values of our school
• Model the CIS values of Excellence, Respect, Collaboration, Creativity, Curiosity, and Generosity
• Abide by the dress code of the school
• Attend professional learning and training sessions when required by the school

Science Specific Responsibilities

Science Resource Organisation

• Source, purchase, and catalogue resources
• Compile orders and liaise with suppliers and finance departments as/when required
• Manage a booking system for teachers and ensure the availability of suitable resources
• Coordinate the preparation of resources for lessons, including liaising with the coordinator, teaching staff and support staff
• Maintain an accurate inventory of resources to ensure that stock levels are maintained, resources are returned in working order and future requirements are identified
• Provide general assistance in the safe storage, transit and accessibility of resources in line with current health and safety guidelines

PYP Science laboratory

• Keeping the laboratory neat and tidy and equipment and resources stored
• Working with students on individual or class projects

In-class support

• Trial practical activities/experiments to troubleshoot potential challenges
• Support and assist teachers during practical activities
• Work with students on individual projects in class

REQUIREMENTS & EXPERIENCE:

• Post secondary education and or certification in an education-related field
• Prior experience working in an educational setting preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting
• Service-oriented
• Enjoys interacting with students, and teachers
• Ability to work collaboratively with students and teachers
• Comfortable operating and setting up basic equipment and ensuring students follow safeguarding procedures
• Problem solver
• Tech savvy. Able to confidently use of Google Suite applications (e.g Doc, Sheets, Forms) and databases
• Strong oral and written communication skills
• Demonstrated initiative and organizational skills, with attention to detail
• Ability to work independently
• Ability to work under pressure
• Ability to safely manage and move equipment weighing up to 20 kg, with reasonable accommodations provided as necessary.

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Design and synthesize novel stimuli-responsive lipids or polymers for RNA delivery formulations to achieve efficient transfection and endosomal escape.
• Develop cationic or ionizable lipids or polymers for RNA delivery applications.
• Collaborate with team members to formulate lipids/polymers with RNA for transfection experiments.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties.

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Materials Science, or related field
• At least 5 years of relevant experience in lipid/polymer synthesis and design for stimuli-responsive nanoparticle delivery, particularly RNA delivery formulations.
• Familiarity with advanced lipid/polymer design for RNA delivery and nanoparticle formulations (e.g., classical LNPs and top research groups).
• Strong written and oral communication skills.
• Proficiency in lipid/polymer synthesis is essential.
• Competence in technical communication and leadership, including supervising junior researchers (e.g., PhD students).
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemistry, chemical engineering, materials science, and engineering or related fields with knowledge in organic or polymer synthesis are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

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

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

Position Available: Research Fellow in Theoretical Polaritonics

Following the commencement of a new NRF CREATE project (N-GAP) and a soon to start MOE Tier 3 project (Quantum Geometric Advantage), we need to increase the capacity of our group to perform theoretical research and meet the project objectives.

Key Responsibilities:

• Conduct theoretical modelling of exciton-polariton systems
• Provide modelling of exciton-polariton networks and lattices

Job Requirements:

• PhD degree in theoretical polaritonics or related areas, with focus on the modelling of exciton-polariton lattices
• Experience in the physics of topological phases of matter, nonlinear optics, and open quantum systems
• Strong publication record

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.

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 productised 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:

• Master’s degree in computer science/ engineering or related fields.
• Proficiency in Python is essential; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus. Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, covering tasks like data preprocessing, feature extraction, training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques (e.g., knowledge graphs, machine unlearning, AI testing). Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) experience required.
• Familiarity with Git and collaborative development tools with experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) is advantageous.
• Solid understanding of software engineering principles and best practices and the ability to explain complex technical concepts to both technical and non-technical audiences.
• Strong analytical, problem-solving, and innovative thinking skills and a good understanding of ethical AI practices, especially related to data privacy and security.
• Self-motivated, able to work independently in a fast-paced environment with strong collaboration skills. Experience working in cross-functional teams with attention to detail and commitment to delivering high-quality results.
• Experience in research on mechanistic interpretability.
• Experience in the implementation of multi-modal LLMs or vision-language models.

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

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

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.

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage and communicate with existing or future industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 6-8 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, engineering design and drawing etc.
• Able to exhibit leadership roles in handling and managing multi-disciplinary projects
• Experienced in preparation of academic and pilot-operation proposals
• Good team-player, good communication skill, problem solver, thinker and doer
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable

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

Nanyang Environment and Water Research Institute, NTU is looking for a Research Fellow with expertise in chemical reactors to develop an improved prototype for a thermocatalytic process.

The project is funded by National Environment Agency, Singapore to address one of the largest problems in waste management – the problem of plastic waste pollution. A significant fraction of plastic waste has substandard quality for mechanical and chemical recycling even after sorting and cleaning. The Research Fellow will work on the design, fabrication and testing of a chemical reactor system that will use pyrolysis-chemical vapor deposition (CVD) technology for converting these plastic waste streams (specifically, contaminated and rejected plastics) into multi-walled carbon nanotubes (MWCNTs) and hydrogen. The role of Research Fellow is to design a system prototype that can effectively mitigate the impact of impurities from diverse plastic waste streams on production outputs and can be operated in a continuous mode.

Key Responsibilities:

The candidate will be undertaking full research work and administrative duties during the term of employment within the following areas:

• Experimental work on plastic waste conversion into carbon nanotubes and hydrogen.
• Design, procurement, installation and operation of the prototype system;
• Investigation of system performance and determining factors that influence the yield and quality of outputs;
• Development of improvements in system design to mitigate the factors decreasing quality and yield of outputs;
• Development of a continuous process;
• Liaising with vendors regarding the feasibility of scale up and conducting a cost-benefit analysis.
• Publishing research papers and documenting developed intellectual property.
• Reporting the progress to stakeholders (internal and external).

Job Requirements:

• Ph.D. degree in a field relevant to chemical reactor engineering (e.g., Chemical Engineering, Thermal Engineering, Mechanical Engineering, Process Engineering or other).
• PhD thesis or postdoctoral experience related to chemical reactor engineering for at least one of the following areas: (a) catalytic reactors, (b) continuous reactors.
• First-author publications in the areas mentioned above.
• High proficiency in English (e.g., TOELF, IELTS, GRE) for preparation of research papers.
• Ability to prepare well-written technical reports and research papers.
• Ability to prepare decent quality presentation decks, figures and illustrations.
• Ability to build formal and informal partnerships and work collaboratively with others to meet shared objectives.
• Ability to consistently achieve results, even under challenging circumstances.

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

NMR Research Fellow position is open in NTU Center of High Field NMR Spectroscopy and Imaging at Nanyang Technological University (NTU), Singapore.

Key Responsibilities:

• Perform day-to-day management of the facility and to provide professional support for the NMR users and collaborators
• Provide technical support
• Carry out trainings in advanced solid-state NMR and solution-state NMR
• Perform instrument maintenance and hardware troubleshooting
• Participate in research projects

Job Requirements:

• PhD from renowned university in the field of biochemistry/biophysics, chemistry, material sciences or related fields.
• Previous experience with solid state NMR is a plus.
• Should have a passion for basic research, NMR development and application, and is expected to participate in research projects.

NTU 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.

<For MCF only> Interested applicants are invited to apply directly at our NTU Career Portal.

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

A Research Assistant position is currently available in the College of Business, Nanyang Business School.

Key Responsibilities:

• Conducting legal research from latest literature (ie, legislation and other relevant material, case law, journal articles, annual reports etc)
• Organising and summarizing research materials
• Preparing summaries, draft reports/ papers etc
• Supporting in research data and information collection and collation, including compiling related data from relevant databases or other source materials
• Providing other assistance and engaging in administrative tasks where required relating to ongoing or new research projects

Job Requirements:

• Graduand or graduate of a Bachelor degree in Law, or is in the final semester of studies from a reputable university, preferably in a common law jurisdiction such as Singapore
• Good command of English and be highlight competent in conducting legal research on legal issues relevant to Singapore and other common law jurisdictions
• Interest in corporate law corporate governance, securities regulation or sustainability/ ESG reporting is a bonus
• Familiar with Excel and be willing to learn how to use various online tools and platforms that may be relevant to research tasks
• Knowledge and interest in at least one of the following corporate law, corporate governance, securities regulation or sustainability/ ESG reporting
• Communicate well in person and in writing
• Able to work independently
• Organised
• Able to work well with others

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

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to develop stimuli-responsive nanoparticle formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Develop new stimuli-responsive lipid or polymer formulations for RNA nanomedicine to achieve efficient transfection efficiency and endosomal escape.
• Design and synthesize novel cationic or ionizable lipids or polymers for RNA delivery.
• Formulate lipids/polymers with RNA to create delivery systems.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Bioengineering, Materials Science, or related field
• At least 5 years of relevant experience in stimuli-responsive nanoparticle delivery formulations and evaluation.
• Familiarity with RNA delivery formulations (e.g., LNPs) and their evaluation.
• Proficiency in RNA formulation and RNA evaluation techniques.
• Experience with mice studies and bioimaging (e.g., confocal, FRET, FRAP).
• Strong background in lipid or polymer synthesis.
• Excellent oral and written communication skills; capable of technical leadership and supervising junior researchers.
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemical engineering, bioengineering, chemistry, materials science, and engineering or related fields, with knowledge in RNA delivery and independent research, are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

Job Description & Requirements

• Immediate positions!
• Good working environment
• Dynamic, energetic and outspoken personality
• 5 days work week

Job Responsibilities:

• Prepare lessons and worksheets
• Assessment of students' work
• Contribution to curriculum development

Job Requirements:

• To teach Sec Math and Science
• Preferably with at least 1-2 years of teaching experience
• Dynamic, energetic and outspoken personality
• Passionate about teaching and are constantly able to see the best in a child
• Familiar with Singapore curriculum
• Able to work on weekends

Successful candidates will be assigned to different job role depending on education level and experience.

Attractive remuneration package will be offered to the successful candidates.

Online Science Teachers:

• Teaching Experience: Minimum of three years of teaching experience.
• Competitive Rates: Compensation varies from $50 to $180 per hour, based on the teacher's experience, student engagement, and lesson continuation rate.
• Tech Proficiency: Highly proficient in using online teaching tools such as Zoom for virtual instruction.
• Software Familiarity: Comfortable with office software applications to facilitate seamless online classes.
• Dynamic Virtual Instruction: Deliver interactive and captivating science lessons to students through online platforms.
• Communication Skills: Strong communication abilities to convey scientific concepts effectively in a virtual environment.
• Adaptability: Flexibility to tailor teaching approaches according to diverse learning styles and individual student requirements.

In-person Science Teachers:

• Teaching Experience: Minimum of three years of teaching experience.
• Competitive Rates: Compensation ranges from $100 to $180 per hour, depending on teacher qualifications and previous experience.
• Pedagogical Proficiency: Expertise in delivering impactful in-person science lessons.
• Interaction Skills: Skillful engagement with students in a classroom setting, fostering a positive learning atmosphere.
• Customized Curriculum: Adapt teaching methods to accommodate varying learning styles and levels of ability.
• Effective Communication: Clear articulation of scientific concepts, enhancing understanding and mastery.
• Classroom Management: Skillfully maintain classroom discipline and manage learning dynamics for optimal outcomes.
• Empathy and Patience: Exhibit patience and empathy while guiding students through their science learning journey.

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

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication and information school in Singapore. It is a world-class centre of excellence with an international faculty, state-of-the-art research facilities, and global institutional affiliations.

The school is seeking to hire a Project Officer to support the management and execution of two research projects. The candidate will work closely with the Principal Investigator to conduct qualitative and quantitative research related to the promotion of online safety to children and youth.

Key Responsibilities:

• Manage the participant recruitment process for the research studies
• Collect data through qualitative and quantitative methods such as interviews, surveys and experiments
• Analyse data using different software tools such as SPSS
• Prepare progress reports, financial reports, and other research-related documents
• Write journal or conference articles related to the project
• Manage the finances of the project to ensure that appropriate expenditure levels are maintained
• Perform research administration tasks including but not limited to liaising with NTU and external parties on matters related to the project, purchasing equipment and software, and answering queries about the project

Job Requirements:

• Bachelor’s degree in communication studies, psychology, or related social science fields
• Experience with managing projects, especially those that are research-oriented
• Possess skills in quantitative and qualitative research methods
• Ability to analyse and interpret quantitative and qualitative data
• Good academic writing and communication skills
• Ability to multi-task and work independently
• Past working experience in academic research roles is preferred

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

The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.