Total 19 data entry job vacancies in Education / Training category in The United States of America

A Research Associate position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com) at Nanyang Technological University, Singapore. The successful candidate will work with our collaborative, multidisciplinary team to develop novel functional neuroimaging technology in a cutting-edge research project funded by the National Research Foundation (NRF), an unparalleled opportunity to engage in high-impact research and enjoy rapid personal development in a meritocratic culture.

Key Responsibilities:

• Design and implement physics-informed machine learning approaches for imaging and biophysical modeling
• Conduct experiments on cells and/or animals
• Analyze and summarize the experimental data
• Conclude the study in journal publications and patent filing

Job Requirements:

• Master's degree in Data Science, Information Engineering, Applied Mathematics, Information Technology, or other related majors.
• Demonstrated excellence in any form of machine learning approaches is required
• Experience in cell or animal experiment is highly desired
• Good at writing and presentation in English

We regret 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.

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.

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.

Temasek Laboratories@NTU is looking for a candidate to join them as a Research Assistant for a credibility assessment project. The research assistant will perform a variety of functions related to research. The candidate is expected to work closely with the project team to perform task assigned.

Key Responsibilities:

• Assist in all technical related activities

• Assist in project-specific technology scan and review reporting

• Assist in research design, data collection and statistical analyses

• Assist in the software development of project-related deliverables

• Assist in the writing of project progress and research reports

• Contribute to research publications and presentations

• Perform administrative work associated with HSSIR

Job Requirements:

• Bachelor in Computer Science, Computer Engineering or its equivalent

• Good knowledge in MS office, statistical analysis using SPSS, R or Stata

• Good interpersonal, written, and verbal communication skills

• Good time management skills and able to work within tight deadlines

• Strong team player with ability to learn quickly and work independently

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.

The School of Materials Science & Engineering (MSE)  is searching for a detailed and responsible Research Fellow (RF) with strong background in materials science and machine learning. This role involves researching the synthesis of high entropy nanostructured composites and utilizing existing machine learning algorithms to build a comprehensive materials database for analysis/reference.

Key Responsibilities:

• Propose and execute new synthesis approaches to generate and characterize high entropy nanostructured composites for catalysis and carbon capture applications.

• Utilize established learning models to analyze materials produced by rapid thermal annealing methods.

• Develop and fine-tune machine learning models for predictive and prescriptive analytics.

Job Requirements:

• Possess a PhD degree in Materials Science, computer science, machine learning, or any relevant science and engineering disciplines.

• Strong interest in conducting interdisciplinary research, particularly in the intersection of machine learning, materials informatics and materials synthesis.

• Strong proven background in machine learning, including experience with established models and data analytics.

• Proficiency in standard programming languages such as Python, R, C+ for data analytics.

• Excellent and relevant publication records

• Excellent communication skills in written and oral English.

• Independent scientist and a team player to work effectively in collaborative environments.

We regret that only shortlisted candidates will be notified.

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.

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

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.

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.

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.

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.