新加坡科技设计大学研究员职位(城市规划、空间数据分析、交通、航空方向)

新加坡科技设计大学研究员职位(城市规划、空间数据分析、交通、航空方向)

Research Fellow Position (Urban Planning, Spatial Data Analysis, Transportation, Aviation)

Job Description

One Research Fellow will be hired to undertake the following research activities:

Meeting with the principal investigator (PI) and team members regularly;

Managing the progress of key tasks;

Integrating spatial, behavioral, and transactional datasets collected by research assistants

Visualizing multiple urban/aviation attributes on a geographic information system (GIS) platform in an interactive way & Developing travel behavior, location choice, and economic impact/real estate performance models Supervising doctoral students and research assistants in the multidisciplinary & multinational team;

Exploring new software and spatial data visualization/analysis techniques; & Disseminating new research findings in peer-review journals/conferences.

This full-time researcher position will be based at the Urban Planning & Policy Research Team, led by PI Prof. Jin Murakami, with support from the Aviation Studies Institute (ASI) and Humanities, Arts and Social Sciences (HASS) Cluster on the new campus of SUTD near Changi Airport in Singapore. As part of the research management and extensive collaboration, the Research Fellow is anticipated to work with an integrated team of faculty, full-time researchers, doctoral students, and part-time assistants and to communicate with industrial partners from development and aviation agencies.

The appointment is for 1 to 3 years, depending on candidate (extendable, based on annual performance). SUTD offers a competitive salary that commensurate with experience, and benefits.

Requirements

Ph.D. in Urban Planning, Transportation, Economics, Civil Engineering, Systems Engineering, Computer Science, or related fields

Proficiency in statistics package and GIS software

Experience in modeling (e.g., travel behavior and location choice models), spatial data analysis, and/or visualization - preferred

Familiarity with household survey-type data handling - preferred

Knowledge of programming (e.g., R, Python, CSS, and/or JavaScript) - optional

Experience in writing peer-review journal publications (or motivated to do so)

Independent and self-motivated, yet able to work in multidisciplinary & multinational research environments.