Total 21 data entry clerk job vacancies in Education / Training category in d04 harbourfronttelok blangah sentosa island

The Nanyang Business School (NBS) is recruiting a Research Scientist in the area of data protection law and data privacy.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance structures and frameworks
• Other research administrative tasks

Job Requirements:

• Master in Law with extensive experience in research and/or in data protection law
• Strong communication and interpersonal skills
• Organised and meticulous
• Capable of following instructions meticulously

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

The Nanyang Business School (NBS) is recruiting a Research Scientist / Research Associate (Part-Time) in the area of data protection law and data privacy.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance structures and frameworks
• Other research administrative tasks

Job Requirements:

• Master in Law with extensive experience in research and/or in data protection law
• Strong communication and interpersonal skills
• Organised and meticulous
• Capable of following instructions meticulously

About Nanyang Business School

One of Asia’s leading business schools, the College of Business (Nanyang Business School), CoB (NBS) at NTU Singapore is committed to nurture talents by adapting to the fast-evolving business environment and developing leaders for today and tomorrow. We embrace the connection between business, technological innovation, and entrepreneurship while maintaining a strong focus on sustainability. This is evident in our inter-disciplinary and industry-relevant education and research.

We are a leading research-powered business school focusing on business education in a technology-driven world. Taking a principled, evidence-based, and inter-disciplinary approach, we produce top-notch and impactful research to tackle world-scale challenges, advance business theories, and enhance management practice.

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

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

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

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing topological data analysis (TDA) techniques, such as persistent homology, and applying these methods to real-world data, including biomolecular datasets.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

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

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

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

We are seeking a Research Associate at College of Computing & Data Science (CCDS) to contribute to our project titled “Tamper Detection with Invisible Watermark and Anti-Tampering for Protecting Face or Body Images/Videos”. The focus is on developing and improving algorithms that enhance privacy and security in the AI models.

Key Responsibilities:

• Exploiting deep learning algorithms for improving privacy and security.
• Identify the weakness of existing deep learning algorithms for tamper detection and protection of watermarks, face, and body images/videos.
• Develop new deep learning algorithms or improve existing algorithms to address the weaknesses.
• Prepare codes and datasets for training and testing.
• Carry out experiments and analyze the results.
• Prepare reports and scientific papers for publication.

Job Requirements:

• Master's degree or above in Computer Science, Data Science, or a related field.
• Strong background in deep learning with first-author publications in ECCV, ICCV, CVPR, ICLR, NeurIPS, ACL, EMNLP, or top-ranked IEEE Transactions.
• Knowledge of multimodal fusion and computer vision is must.
• Experience in algorithm development, data processing, and coding (e.g., Python).
• Proven ability to conduct independent research and publish scientific papers and journals.
• Excellent problem-solving skills and attention to detail.
• Good teamwork skills.
• Industrial experience is a plus

We regret that only shortlisted candidates will be notified.

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

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

Key Responsibilities:

• Work on a project to create optimized designs for heat exchanger;
• Perform multi-physics numerical simulation to establish specific dataset;
• Build machine learning models to learn performance of heat exchanger;
• Deliver design results with no additive manufacturing production issues.

Job Requirements:

• PhD in Mechanical Engineering, Structural Engineering, Aerospace Engineering, Machine Learning, or related fields
• At least 3-year research experience in related areas
• Expertise in numerical simulation of multi-physics systems, such as fluid-solid coupling structures
• Experience in additive manufacturing, and machine learning
• Proficiency in basics of programming languages such as C++, Python, and/or Matlab
• Proficiency in English speaking and writing
• Publication track record is an advantage for this position

We regret 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.

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

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret 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.

The Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.

We are looking for an experienced full-time IT / Data Research Engineer to support major research programmes being conducted by the EMPOWER Centre.

Key Responsibilities:

• Conduct internal user requirement analysis, participate in solution design, planning and deploying of IT and data management solutions for the Centre’s research needs.
• Work closely with colleagues on procurement, preparation and publishing of tender specifications, as well as in evaluating and recommending potential solutions and/or vendors, contract management etc.
• Liaise closely with the Centre’s researchers and administrative staff to optimise the current data management system and to develop and maintain local networks.

Job Requirements:

• 2-3 years of working experiences in a fast-paced commercial / industry setting is desirable.
• S/he will also provide technical support for research dissemination activities, which may include workshops, seminars and public outreach activities.
• Candidates with a proven track-record in one or more of these areas are welcome to apply, and we will begin reviewing applications from May 2024 onwards, until all positions are filled.

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

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

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

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 School of EEE invites applications for the position of Research Associate.

The research associate will work on a project to conduct the research on development of image processing, computer vision, data mining, project demo, and also manage the project as it is near the completion.

Key Responsibilities:

• Development of methods and algorithms for vision-based / RFID sensor fusion for target detection, identification and tracking.
• Development of methods, algorithms for data mining using data from RFID signal and video.
• Work on project demonstration using the developed algorithms and methods from the project team.
• Help with project management such as data management and project reports, demonstration documents.

Job Requirements:

• Masters degree in Electrical Engineering or computer technology
• At least 4-years working experience in related areas
• Knowledge and experience in machine learning and deep learning
• Knowledge and experience in image processing
• Knowledge and experience in data mining
• Knowledge and experience in project management
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written English

We regret that only shortlisted candidates will be notified.

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram
• Develop solutions to categorize Telegram users based on network topologies
• Develop machine learning models to predict user roles and information cascade patterns
• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field
• Preferably 2 and more years of professional programming experience
• Experience in Natural Language Processing and Computer Vision
• Experience in Network Analysis and Machine Learning
• Writing clean, readable, and easily maintainable code
• Ability to manage your own time effectively and deliver required tasks with minimal supervision
• Good teamwork skills
• Interest in applications of technology in academic research

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.

The research project is seeking to hire a Research Assistant to collect, structure and analyze data for fin/insure-tech problems, as well as, implement machine learning techniques to applications of financial risk identification and management and conduct related quantitative analysis.

Key Responsibilities:

• Gather data through various data sources.
• Preprocess data and ensure data quality.
• Conduct literature reviews on relevant areas.
• Contribute to the design of research studies.
• Use programming languages and software tools to manipulate, analyze, and visualize data.
• Write reports to summarize results.
• Create visualizations for communications.

Job Requirements:

• Bachelor’s degree in statistics or data science.
• Familiarity with various machine learning algorithms and frameworks.
• Proficiency in programming languages including Tensorflow, Python and R.
• Understanding of relevant statistical concepts.
• Research/work experience in quantitative risk management and fin/insure-tech related problems.
• Research/work experience with web data scraping, data pre-processing, data automation, data visualization, etc.
• Basic knowledge of working with databases.
• Good verbal/writing communication skills.

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

We are seeking a Research Associate to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to Developing Video Traffic Data based Intelligent Transport Fundamental Core Techniques.

Key Responsibilities:

• To independently undertake research in spatial temporal learning
• 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 Science, or a related discipline
• Have a solid foundation in at least two of following areas: Computer Science, Machine Learning, Deep Learning, Data Management
• Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, ICLR, ICML, AAAI, etc.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn

We regret that only shortlisted candidates will be notified.