Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant. The successful applicant will be responsible for the development of algorithms for building systems for data management.

Key Responsibilities:

• Designing and developing scalable algorithms for processing data of large scale.
• Writing research papers of high quality based on research results
• Building deployable systems based on the research results.

Job Requirements:

• Bachelor’s degree in Computer Science/Engineering or related disciplines.
• Proficient in Python and C/C++ programming.
• Experience in machine learning and deep learning method.
• Excellent background in algorithms and database systems
• Excellent background and research experience in data mining algorithms, data management, machine learning, and probabilistic models.
• Experience in machine learning and deep learning method.
• Excellent verbal and written communication and interpersonal skills.
• Strong sense of responsibility and work with minimal supervision.
• Ability to be flexible and adapt to new situations in a rapidly changing research environment.

We regret that only shortlisted candidates will be notified.

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

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders.

We are an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

One World International School is committed to safeguarding and promoting the welfare of the children. We are committed to recruiting candidates who share this commitment to safeguarding. Before an offer is given, candidates will undergo child protection screening and will be required to provide a Police Verification Check from their country of residence.

Overall Responsibilities:

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

Includes the below but not limited to:

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

Requirements:

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

Working Location: Jurong West (Nanyang Campus)

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project, led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, the Environmental Health Institute, National Environment Agency, Singapore and the French National Centre for Scientific Research. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of environment, climate change and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors leading to increased burden of environmental infectious diseases across large spatial scales.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institution

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

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

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Scientist to support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model. The Research Scientist will work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.

Key Responsibilities:

• To support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model.
• Work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.
• To conduct high-quality research on algorithm design, analysis, and performance evaluation and publish research outcomes in top tier conferences and journals.

Job Requirements:

• PhD degree in computer science or related field
• Strong scientific publication record
• Experience in discrete-event modelling and simulation and data-driven applications
• Excellent programming skills and experience in large system development
• Ability to work independently and with a large team
• Excellent analytical, technical, and problem solving skills
• Strong verbal and written English communication skills

We regret that only shortlisted candidates will be notified.

The Nanyang Centre for Public Administration (NCPA) at the College of Humanities, Arts, and Social Sciences, Nanyang Technological University (NTU), Singapore invites applications for Research Associate.

Key Responsibilities:

• Work closely with Director of NCPA (Prof Liu Hong) and other research staff at NCPA, as well as the School of Social Sciences
• Coordinate NCPA's research activities within NTU (including the Lien Ying Chow Legacy Fellowship Programme) and with external partners

Job Requirements:

• Master's degree in one of the relevant fields of public administration, public policy, Asian Studies, political science, and international political economy from a reputed university
• At least three years of relevant experience
• Ability to work collaboratively with team members is particularly welcome
• Strong background and demonstrated experience in research, field work, data collection and analysis, and publication
• Demonstrated experience using both quantitative and qualitative research methodologies would be preferred

Applicants must state their work plan and demonstrate how their expertise relates to the research programmes and provide cover letter, CV and one writing sample.

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

In the School of Chemical and Biomedical Engineering at Nanyang Technological University, we have an opening for a Research Fellow (Postdoctoral Researcher) in the field of process systems engineering, including but not limited to state estimation, advanced process control, remaining useful life prediction, fault detection and diagnosis, and optimization solutions for industrial manufacturing processes by leveraging control theory, data analytics, machine learning, optimization, graph theory, information theory, etc. There will be extensive opportunities for successful candidates collaborate with reputable researchers in the field worldwide on theoretical research, and with practitioners from multinational industrial companies to deliver solutions to real-world industrial problems.

Key Responsibilities:

• Conduct high-quality studies on data-based/model-based process monitoring and process control for complex chemical and biomolecular systems.
• Apply theoretical findings through computer simulations and experiments.
• Publish results in leading journals and conferences in related fields.
• Assist the PI in supervising PhD students.
• Attend international conferences to present the results.

Job Requirements:

• Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields.
• An excellent track record of research in the corresponding fields.
• Extensive experience and advanced math skills in control engineering, statistics, optimization, and/or machine learning.
• Excellent programming skills in, for example, Python, Matlab, Julia.
• Good written and communication skills.
• Expertise in state estimation, hybrid system control, network-based control, fault diagnosis, and/or model predictive control, and experience in applying machine learning in control systems are viewed as assets.

The position is available immediately. Interested applicants are invited to send a single .pdf file containing a cover letter, a most recent Curriculum Vitae, and a research plan (if available).

We regret that only shortlisted candidates will be notified.

The Singapore Centre for 3D Printing (SC3DP) offers a full range of additive manufacturing services, from design and infrastructure to production and validation. With advanced technologies such as topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process optimization, as well as non-destructive testing for AM parts. Backed by a team of experts and a state-of-the-art facility equipped with the latest equipment and technologies, SC3DP is committed to leading the way in sustainable additive manufacturing research and development.

Key Responsibilities:

• Fabricate pure copper or copper alloy components via additive manufacturing techniques.
• Optimize the process window to enhance the print density and surface finish.
• Investigate potential solutions for the insulation of complex metal parts.
• Perform microstructure characterization on 3D-printed samples.
• Conduct tests of the mechanical and electrical properties on 3D-printed samples.
• Collaborate with other group members (including PhD students and research staff).
• Publish research findings in reputable international journals.

Job Requirements:

• Bachelor’s degree in Mechanical Engineering, Materials Science, or closely related field.
• In-depth knowledge in metallic materials and additive manufacturing.
• Good publication record (at least one first-author paper in international journals).
• Experimental skills in materials characterization and properties testing.
• Strong self-motivation and responsibility for research/work.
• Good communication and writing in English.

We regret that only shortlisted candidates will be notified.

We are looking for intellectually curious, highly motivated and customer-focused individuals to build Advanced Analytics and Data Science capabilities within the Regional IT Center of Competence (CoC) for Data Analytics team.

The incumbent will be responsible for the following:

• Own end-to-end development and execution of Data Science and ML/AI models/solution using Azure cloud platform
• Work closely with Data Science (Business), Engineering and Design teams to define and build Data Science and AI/ML products that help organization drive data-driven decisions
• Act as the Data Engineering and Data Quality expert for Data Science use cases
• Work with Data Engineering team and Architects to define Data Science and ML/AI technology landscape
• Handle multiple agencies to drive the Data Science products to success
• Work with Headquarter (HQ) and various markets on the implementation of Data Science and AI/ML product across different geographies
• Balance priorities and tech debt to create effective sprints that move the needle for the business
• Support in implementation of Data Governance Model

QUALIFICATIONS

• Bachelor Degree in Engineering or significant course work in other computer-related fields of study
• More than 5 years or more total experiences in Software Engineering, Data Engineering, Data Quality Management and Project Management
• Certified in Project Management Professional
• Strong knowledge on SQL, Oracle PL/SQL, MSSQL, ETL/ELT, Unix Shell Scripting
• Good communication skills to interact with stakeholders
• Drive to learn new things and take ownership of all deliverables

This position is based in location Singapore. A valid and approved work visa is required for employment in Singapore in accordance to local labour law regulations. We regret to inform you that only shortlisted candidates will be notified.

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

We are seeking researchers to work on a computer vision project. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning algorithms either for i) image/video understanding, ii) image/video generation, iii) 3D point cloud analysis, iv) few-shot learning and weakly supervised learning, or v) online/continual learning. Candidates are expected to have a solid background in relevant areas.

Key Responsibilities:

• To independently undertake research in 3D computer vision.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Master's degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

The School of Social Sciences is inviting applications for the position of Project Officer. The Project Officer (PO) will join an expanding team to work on projects in the field of Psychosocial Rehabilitation and Chronic Disease Management. The PO will be working in the research lab “Action Research for Community Health (ARCH)”, and the primary study involves an intervention study that develops and test the efficacy of an integrative health coaching programme to support first-time stroke survivors and their family caregivers. The PO is expected to work closely with professionals in the field of medicine and rehabilitation sciences, as well as with clinical population groups.

Key Responsibilities:

• Plan, organize and implement research projects, in collaboration with principal investigators.
• Liaise with community collaborators
• Literature review
• Support data collection and research implementation
• Perform data transcription and data analysis
• Compile findings and draft research reports, as well as co-author academic journal publications with project principal investigators.

Job Requirements:

• Possess a Bachelor’s Degree in Psychology, Counselling, Social Work, Health Science or related fields from a reputable university (Soon to graduate students of the 2024 cohort are encouraged to apply)
• Must be fluent in Spoken and Written English and Mandarin/Malay because the faculty’s mixed methods research involves many Mandarin/Malay speaking older adults that need to be liaised with for the project, this requires not only verbal communication but also written communications skills as well due to transcription and translation work.
• Demonstrate excellent inter-personal communication skills
• Experience in quantitative, qualitative, mixed methods and intervention research
• Competent in MS Office, NVivo, SPSS and Qualtrics
• A team player with the ability to work independently in a multi-cultural environment

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the development of graph-based reasoning networks for accurate and stable facial landmark detection models. The ideal candidate will possess the ability to apply recent technological advances in graph reasoning networks to the face alignment tasks.

Key Responsibilities:

• Develop graph-based reasoning networks for facial landmark detection.
• Develop spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection.
• Develop stabilization methods for video facial landmark detection.
• Develop graph neural network theory.
• Develop sequence modeling theory.
• Develop deep learning methods and theory.
• Develop computer vision methods.

Job Requirements:

• Master's degree or higher in Computer Science/Engineering, or Electrical/Electronic Engineering.
• Strong mathematical background
• Top-tier AI venue publications are very much preferred
• Minimum of 2 years of work experience in a related field.
• Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision
• Experience in at least one Deep Learning framework such as Tensorflow, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++
• Demonstrated project experience related to graph-based reasoning and facial landmark detection will be an advantage.
• Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) is seeking an experienced Project Officer to join our research group for a one-year term.

In this role, you will provide strategic leadership and support for a project focused on Generative AI. Your responsibilities will include overseeing the research and development efforts, ensuring project objectives are met, and maintaining a strong financial foundation. You will also need to stay updated on market dynamics related to Generative AI and provide valuable insights to the team. This position requires excellent project management skills, team management support, strong financial acumen, copywriting abilities to deliver relevant project reports and a deep understanding of the Generative AI field.

Key Responsibilities:

• Project Planning and Strategy: create effective plans aligned with objectives; assess project requirements and make necessary adjustments; monitor project budget, activities, and progress.
• Risk Management and Analysis: assess potential risks, develop mitigation strategies, and capitalize on opportunities.
• Team Management and Support: organize and motivate the project team by providing leadership, fostering effective communication, and promoting excellence and innovation; assist with administrative tasks and support project execution; collaborate to secure necessary resources for project implementation.
• Deliverable Management: Coordinate testing, documentation, and integration of project deliverables; monitor timelines, identify and address delays to meet project deadlines.
• Project Performance Evaluation and Reporting: evaluate project performance, maintain accurate project documentation, and provide timely reporting.
• Meeting Organization and Documentation: schedule and facilitate project meetings, accurately record meeting discussions, decisions, and action items.
• Collaboration with industrial and academic partners, keep smooth contact for all relevant sides.
• Conduct market research to identify target audiences, assess industry trends, and evaluate market demand.
• Develop and manage project budgets, ensuring proper allocation and control of expenses.
• Deliver relevant project reports.

Job Requirements:

• A bachelor's degree in either computer science, artificial intelligence, data science, or business administration, management, or a related field.
• Experience in project management, preferably in the field of Generative AI.
• Strong financial management skills, including budgeting, forecasting, and financial analysis.
• In-depth knowledge of Generative AI technologies, trends, and market dynamics.
• Excellent communication skills to effectively guide the research team and collaborate with stakeholders.
• Ability to prioritize tasks, manage resources efficiently, and deliver high-quality results within project timelines.
• Strong analytical and problem-solving abilities, capable of handling multiple tasks across projects and research activities.

We regret that only shortlisted candidates will be notified.

S Lab is seeking a project officer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s Degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Senior Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• At least 2 – 3 years’ work experience in relevant areas;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Deploy and test software systems to ensure functionality and quality.
• Develop and maintain system documentation and test cases.
• Collaborate with the development team to integrate software components.
• Troubleshoot and resolve system issues.
• Conduct system performance and reliability testing.
• Monitor system performance and implement improvements as needed.

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in software system deployment, testing, and maintenance.
• Experience with programming and scripting languages, such as Python and Bash
• Familiarity with DevOps practices and tools
• Experience with system monitoring and performance testing tools.
• Experience with cloud platforms such as AWS and containerization technologies like Kubernetes (k8s).
• Knowledge in IoT or digital twins will be a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.

We regret that only shortlisted candidates will be notified.

ERIAN invites applications for the position of Research Associate.

Key Responsibilities:

• Advance our Metaverse driven Bigdata fusion platforms development efforts by working closely with other Bigdata Data, Analytics and Automation professionals and Advanced AI experts to understand complex business problems and co-create digital solutions driven by data science models
• See your AI and ML algorithms and solutions get scaled and deployed, while learning from your mistakes
• Identify better data science approaches and methods to innovate across the Smartgrids, Smartfactroies through team challenges, to collaborations with external industry disruptors
• Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
• Collaborate in cross functional teams to co-create solutions to business problems, bringing a combination of data science expertise with business acumen to drive pragmatic, business driven value.
• Keeping abreast of latest developments in the field and identifies opportunities to apply within our organization

Job Requirements:

• Master in Computer Science, or Electrical Engineering from a reputable institute
• Must have 3 to 4 years of experience with a research orientation, Advanced Artificial Intelligence and deep problem-solving capabilities
• Must have a solid understanding of Machine Learning concepts and Statistical Algorithms
• An experience in building FFT models shall be a great advantage
• Must have experience in developing ML models like Auto-encoders, Random Forest, SVM etc
• Must have a good hands-on experience on Python Programming, Pandas, Numpy, Matplotlib, TensorFlow, Keras and other AI Libraries
• Must have a hands-on experience on OpenCV, TensorFlow, Kuda, CNN models
• Must have experience in deploying AI Models to Production
• Experience in understanding business needs and translating to a data-science problem
• Able to generate new ideas and to effectively communicate about these ideas
• Passion for cutting edge Artificial Intelligence/machine learning technologies.
• Knowledge of Cluster Analysis, Classification Trees, Discriminate Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis and SNA
• Experience of Regression, Multi-criteria Decision Making, Markov Process, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
• Excellent problem solving and Communication skills
• Passion for R&D and technical excellence, self-motivated, strong problem analysis and solving skills

We regret that only shortlisted candidates will be notified.

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

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

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

Overall Responsibilities:

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

Includes the below but not limited to -

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

Requirements:

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

Working Location: Punggol Campus

The College of Computing & Data Science (CCDS) invites applications for the position of Research Engineer II.

Key Responsibilities:

• Survey existing studies on mobile data visualization design and its interaction
• Develop new techniques for the design and creation of mobile-friendly data visualizations
• Develop novel techniques for effective and convenient user interactions with data visualization on mobile devices
• Implement the proposed approaches and conduct extensive evaluations
• Document writing on summarizing the research outputs

Job Requirements:

• Master/Bsc degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 1 year of relevant research experience in data visualization, human computer interaction, machine learning, data mining or data analytics
• It is preferred that the applicant is a matriculated student of another University at the point of application and has relevant research experience in data visualization, human computer interaction, machine learning, data mining or data analytics
• Basic knowledge/Proficiency in programming software/languages such as Python, JavaScript, D3 and HTML5 is required
• Applicants with Android/iOS app development experience and research publications in data visualization area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members
• Proficient in English speaking and writing

We regret that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences (SPMS) is looking for a motivated and adaptive individual to join us as a Research Fellow to start as soon as possible. This position is funded by a Ministry of Education AcRF Tier 2 grant of Li Yi. The goal of the project is to develop new theory and algorithms for massive datasets, with a particular focus on online algorithms related to numerical linear algebra.

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

Key Responsibilities:

• Pursue cutting-edge research in algorithms for massive datasets, such as dimension reduction techniques, streaming algorithms, and online algorithms
• Writing or contributing to publications, and attending conferences and workshops, for disseminating research findings. Travel support is possible.

Job Requirements:

• Ph.D. in theoretical computer science, mathematics, or a relevant area
• Good background of probability in theoretical computer science
• Research experience, as evidenced by a history of relevant publications, is expected. Publications in top venues are highly desired.
• Research experience in problems related to (1) metric embeddings, (2) non-asymptotic analysis of random matrices or (3) big data algorithms (such as sublinear-time algorithms, streaming algorithms and randomized numerical linear algebra algorithms) would be an advantage, but also welcome applicants with different backgrounds who are keen to apply their knowledge to new problems
• Excellent written and spoken communication skills

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

Rehabilitation Research Institute of Singapore invites applications for the position of Research Associate.

Key Responsibilities:

• Assist in the development and application of data analysis algorithms for medical data.
• Participate in research projects, contributing to data collection, analysis, and the preparation of reports and publications.
• Collaborate with team members to identify research opportunities and innovative data analysis strategies.
• Support the maintenance and organization of research data in compliance with ethical standards.
• Engage in continuous learning to improve skills in AI, data science, and medical data analysis.

Job Requirements:

• Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related discipline, with a strong emphasis on AI and data science.
• Experience with machine learning techniques and statistical analysis.
• Familiarity with medical data types, such as neurophysiological data, sensor data, and medical records.
• Proficiency in programming languages used in data science, like Python or R.
• Good communication skills and the ability to work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.