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.

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.

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.

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 & 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.

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.

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.

Seeking a full-time Research Assistant to join a team of researchers working to advance visual analytics in computer vision. Successful applicants will contribute to a research project that develops new techniques in image and video analysis.

Candidates should possess a strong interest in learning and researching state-of-the-art computer vision techniques, as well as a strong ability in coding and mathematics.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Understand basic machine learning and AI methodologies
• Code and run computer vision algorithms
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained a Bachelors degree related to the computer science or mathematics
• Excellent written and verbal communication skills
• Strong programming skills.
• Proficiency with Python

How to apply:

Interested applicants are encouraged to send in their application with the following documents:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae

Enquiries about the position can be addressed to Assistant Professor De Wen Soh ([email protected])

Appointment will be initially made on contract basis for one year, renewable subject to good performance and mutual agreement.

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

The SpiNLab is looking for a Research Fellow led by Assoc. Prof S.N. Piramanayagam. The job involves exploring new physics, methods, materials (devices) and simultaneously exploiting different origins of orbital torque to achieve power-efficient spin-devices in perpendicular magnetic anisotropy materials. The job scope's demands the development domain wall MTJ devices for energy efficient neuromorphic application.

Key Responsibilities:

• Perform device modeling based on micromagnetic simulations to propose new ideas and emulate the experimental results to comprehend the underlying physics.
• Perform project-related research, which includes shaping the given problem and performing related experimental and simulation work to achieve the final goal.
• Perform device modeling based on micromagnetic simulations to propose new ideas and emulate the experimental results to comprehend the underlying physics.
• Write annual reports to update the research progress.
• Manage purchase of equipment, materials, consumables and manage facilities usage, travel arrangements, conference presentations, public disclosure of the update.
• Take an active part in lab management, equipment maintenance, lab-related purchases (depending upon situational requirements), and lab setting up process.
• Carry analytical writing for publishing findings in the public domain and assist PI with reviewing manuscripts and writing grants.
• Mentor PhD and bachelor students.
• Procurement of lab equipment, consumables, and materials
• Use of analytical programming languages to analyze data
• Mentoring of PhD and Masters/undergraduate students

Job Requirements:

• PhD in Physics/Electrical/Electronics/computer Engineering.
• Previous work experience in managing the lab, training students, independent working and procuring the lab equipment.
• Expertise in MTJ device electrical characterization and MTJ device physics as the candidate will be involved in both experimental and simulation (theoretical) work of domain wall MTJ devices (specifically SOT driven domain wall dynamics) for neuromorphic applications.
• Expertise in micromagnetic simulations of spintronic devices and in circuit-level design and modeling for neuromorphic computing, as demonstrated by past publications.
• Effective communication and presentations skills, demonstrated by some recognitions in the past conferences.
• Good command of the analytical programming language (Python/Matlab) and graphical programming software such as LabVIEW, Mumax3, Digital/Analog design.
• Ability to work independently as well as in a team.
• Capability to assist PI in training new research students.

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.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to 3D Animation.

Key Responsibilities:

• Design and implement user interfaces for interactive 3D animation tools and systems.
• Build dynamic web applications using modern front-end frameworks.
• Collaborate with back-end developers to integrate front-end solutions with server-side logic.
• Optimize web applications for maximum speed and scalability.
• Develop and maintain RESTful APIs for efficient communication between components.
• Contribute to database design, development, and optimization for project needs.
• Utilize containerization technologies like Docker for application deployment and scaling.

Job Requirements:

• Bachelor’s degree in relevant disciplines.
• Proficiency in HTML5, CSS3, and JavaScript.
• Hands-on experience with Vue.js or similar front-end frameworks.
• Familiarity with the Django back-end framework for server-side development.
• Strong knowledge of database design and optimization.
• Experience in designing and developing RESTful APIs.
• Working knowledge of containerization technologies such as Docker.
• Ability to work collaboratively within a multidisciplinary team and deliver high-quality code.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to 3D Animation.

Key Responsibilities:

• Design and implement user interfaces for interactive 3D animation tools and systems.
• Build dynamic web applications using modern front-end frameworks.
• Collaborate with back-end developers to integrate front-end solutions with server-side logic.
• Optimize web applications for maximum speed and scalability.
• Develop and maintain RESTful APIs for efficient communication between components.
• Contribute to database design, development, and optimization for project needs.
• Utilize containerization technologies like Docker for application deployment and scaling.

Job Requirements:

• Bachelor’s degree in relevant disciplines.
• Proficiency in HTML5, CSS3, and JavaScript.
• Hands-on experience with Vue.js or similar front-end frameworks.
• Familiarity with the Django back-end framework for server-side development.
• Strong knowledge of database design and optimization.
• Experience in designing and developing RESTful APIs.
• Working knowledge of containerization technologies such as Docker.
• Ability to work collaboratively within a multidisciplinary team and deliver high-quality code.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Associate on a 24-month contract at the Singapore Centre for Character & Citizenship Education (SCCCE).

Project Title: Exploring the Development and Demonstration of Citizenship Dispositions Among Youths in Singapore

Project Introduction: The Singapore Centre for Character & Citizenship Education (SCCCE) aims to conduct CCE-related education research to inform policy and practice and be a nexus for research, practice, and theory in CCE, with greater emphasis on practice and pedagogy in the Singapore context.

Requirements:

• Master’s degree in a relevant discipline (e.g. Psychology, Philosophy, Education). Fresh doctorate or holders are welcomed.
• At least 5 years of relevant experience in research and education
• Demonstrated ability to manage and lead a research project
• Demonstrated ability to propose, design and implement appropriate research methodologies and instruments
• Ability to write reports, publications and presentation materials
• Ability to present research findings through various platforms
• Strong interpersonal communication skills
• Able to work independently with minimal supervision
• Able to work cooperatively in teams
• Knowledge of qualitative and quantitative software programmes

Responsibilities:

• Support in project management including leading a team of research staff
• Resolve issues and manage research variables
• Conduct literature review
• Co-ordinate and/or conduct data collection, coding and/or archival
• Analyse data and synthesise information from research findings
• Propose, design and implement appropriate research methodologies and instruments
• Write reports, publications and presentation materials
• Present research findings through various platforms
• Assist in planning and executing tasks to achieve key deliverables
• Oversee project to ensure the progress is on track
• Other duties as assigned by Principal Investigator

Application

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

Workday Job Requisition ID: R00019268

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Singapore-Centre-for-Character---Citizenship-Education---NIE-_R00019268)

Closing Date

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

The EOS/ASE Coastal Laboratory at NTU is searching for a Research Associate to work under the supervision of Prof Adam Switzer on extreme sea level analysis (ExSL). The successful candidate will analyse an integrated data set and conduct numerical modelling to estimate ExSL events in Singapore. Further to this, they will work on a review of current floating GNSS systems and current measurement techniques. They will also investigate best practices for communicating ExSL potential future impacts in Singapore. The successful candidate will have a Masters’ degree in Earth Science, natural hazards, remote sensing, geodesy, computer science, data science, or a related subject. Most importantly they will have enthusiasm to engage in the research work of our group, and a passion for making Southeast Asia a safer and more sustainable place for all communities in the region.

Key Responsibilities:

• Analyze and interpret extreme sea level (ExSL) data from regional tide gauge networks.
• Conduct numerical modeling of ExSL, including to use numerical modeling techniques to model future events.
• Conduct a review of floating buoy systems for monitoring ExSL events.
• Conduct studies into best practices for communication of results on ExSL to policymakers and other key stakeholders, including discussion with these groups to learn their needs.

Job Requirements:

• Master’s degree in Earth or environmental science.
• At least 4 years of experience working in an Earth science field.
• Demonstrated experience in geodetic data analysis and numerical modelling of tectonic deformation.
• Demonstrated experience conducting scientific research.
• Evidence of papers submitted or accepted into peer-reviewed journals would be a plus.
• Collaborative mindset and strong teamwork skills.

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

Interested applicants should CV, cover letter, statement of research interests, and the names of three referees. Evaluation of application starts immediately until the position is filled.

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

Job Purpose :

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

Key Responsibilities

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

Job Requirements:

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

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.