Post-docs/Research Assistants/Research Associates

We are currently recruiting Post-docs, Research Assistants and Associates for the highly competitive Hong Kong SAR government Research Grants Council funded HKD50M theme-based research project on Air Pollution Monitoring and Health Management. This interdisciplinary project provides a golden opportunity for those who aspire to apply the cutting-edge AI technology to enhance the well-being of people’s life. Hong Kong is the perfect backdrop for this vision, as it is strategically located to pioneer the thoughts from the west and explore the opportunities in mainland China.

The project addresses five major challenges. FIRST, urban air quality data is sparse, rendering it difficult to provide timely personalized alert and advice. SECOND, collected data, especially those involving human inputs, such as health perception, are often missing and erroneous. THIRD, data collected are heterogeneous, and highly complex, not easily comprehensible to facilitate individual or collective decision-making. FOURTH, the causal relationships between personal air pollutants exposure (specifically PM(2.5,1.0) and NO2) and personal health conditions, and health (well-being) perception, of young asthmatics and young healthy citizens, are yet to be established. FIFTH, one must determine if information and advice provided can affect behavioral change. To overcome these challenges, we are recruiting likeminded researchers who share our vision in conducting high-impact interdisciplinary research on AI with applications on air pollution monitoring and health management, and in particular, expertise on AI, machine learning, mobile sensing, sensor placement, missing data recovery, overcoming human-in-the-loop data collection, data visualization, health and wellbeing longitudinal studies to provide advice to citizens, mobile data security and privacy, causality between air pollution and health, and information intervention studies.

Interested individuals may send through the CVs to Dr. Jacqueline Lam at recruit@ceerp.hku.hk covering research interests, qualifications and research publications.