This project is in line with two of the core themes of the laboratory: (1) leveraging mobile (“smart”) technology platforms to create personalised solutions for Project Description: healthcare delivery; and (2) translating large quantities of (meta)data into metrics and interfaces that are directly relevant to the needs of doctors, therapists, and researchers for various healthcare applications. Effective communication within a multidisciplinary research team Learning Objectives: Designing and/or testing technology solutions in populations with special considerations (e.g., the elderly, patients) Number of vacancies: 2 Description of student required: Motivated and self-driven ability to tackle new or unfamiliar concepts Ability to draw on skills and techniques from multiple disciplines (computer science, rehabilitation science, biostatistics) Willing to ask questions Prerequisites and Familiar with designing and/or testing technology solutions in populations with requirements (if any): special considerations (e.g., the elderly, patients) Excellent written and spoken English Background in programming (MATLAB/Python/Octave, SQL, Java, iOS/Android), smartphone app design, signal processing of sensor and/or accelerometry data and machine learning techniques is an advantage Financial Support (from host): Nil PROJECT 4 Migrating Out of Poverty Research Programme Consortium: Intra-household Research Title: Dynamics, Migration Industry and Policy Processes Professor Brenda Yeoh Supervisor / Department: Asia Research Institute Link to host’s online bio / research page:
Project Description: This project is in line with two of the core themes of the laboratory: (1) leveraging mobile (“smart”) technology platforms to create personalised solutions for healthcare delivery; and (2) translating large quantities of (meta)data into metrics and interfaces that are directly relevant to the needs of doctors, therapists, and researchers for various healthcare applications. Learning Objectives: Effective communication within a multidisciplinary research team Designing and/or testing technology solutions in populations with special considerations (e.g., the elderly, patients) Number of vacancies: 2 Description of student required: Prerequisites and requirements (if any): Motivated and self-driven ability to tackle new or unfamiliar concepts Ability to draw on skills and techniques from multiple disciplines (computer science, rehabilitation science, biostatistics) Willing to ask questions Familiar with designing and/or testing technology solutions in populations with special considerations (e.g., the elderly, patients) Excellent written and spoken English Background in programming (MATLAB/Python/Octave, SQL, Java, iOS/Android), smartphone app design, signal processing of sensor and/or accelerometry data and machine learning techniques is an advantage Financial Support (from host): Nil PROJECT 4 Research Title: Migrating Out of Poverty Research Programme Consortium: Intra-household Dynamics, Migration Industry and Policy Processes Supervisor / Department: Professor Brenda Yeoh Asia Research Institute Link to host’s online bio / research page:
20160225104654_NUS%20Projects%20&%20Form.docx