
Urban Analytics and Mental Health Researcher
4 days ago
The Population Mental Health Risk Prediction project is a collaborative research initiative that aims to investigate the impact of urban design on mental well-being.
By 2050, approximately 70% of the global population will live in urban environments, making it essential to understand how the built environment affects health outcomes. The emerging concept of neurourbanism focuses on the interdisciplinary study of how urban design influences psychology and mental health.
This project bridges the research gap between different facets of the built environment and both positive and negative aspects of mental well-being by embarking on a comprehensive investigation into the impact of urban factors on mental health in Singapore.
Lead PI: Evelyn Loo
Job DescriptionWe are seeking a researcher to join a multidisciplinary and collaborative research project focused on urban analytics and mental health. This role involves studying how urban factors affect mental well-being in children and adults.
- Co-developing research objectives and designing deep learning models to support the project goals.
- Contributing to the development of applications and datasets based on publicly available street-view imagery and data from longitudinal cohort studies.
- Presentation of research findings to international audiences.
- Co-authoring and publishing journal/conference papers.
Mandatory Requirements:
- PhD in Urban Sciences or related field.
- Proven experience with machine learning tools and workflows.
- Research experience in conducting, analyzing, and producing scholarly works from experiments.
- Proficiency in Python programming and familiarity with developer tools.
Significantly beneficial attributes include detail-oriented work, a developed GitHub repository demonstrating past or ongoing work and skills, and a strong interest in developing spatial data science and urban-related topics.
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