NATIONAL UNIVERSITY OF SINGAPORE

Research Assistant in Geospatial Data Science for Urban Applications

Location
Singapore
Posted
31 Oct 2022
End of advertisement period
30 Nov 2022
Ref
10875544
Contract Type
Permanent
Hours
Full Time

Job Description

  • The researcher will work under the supervision of the Principal Investigator (PI) to conduct academic research and administrative work.
  • The candidate will be focus on research activities at the forefront of geographical information science and urban data science
  • Development of software tools, methodologies, datasets, and related solutions.
  • Exploring new research directions and experimenting with new datasets and technologies.
  • Assisting the PI in various activities in the research group and project such as supervision/mentorship of students and junior researchers, management, and assisting with funding applications.
  • Design and conduct research studies; manage collaboration with other researchers and coordination.
  • Conduct literature review on appropriate topics related to the project.
  • Preparation of publications and maintenance of other forms of research output such as software and data after their release.
  • Attending and following meetings, conferences, and discussions with various stakeholders.

Job Requirements

You should demonstrate that you possess:

  • A Bachelor or Master’s degree in a relevant discipline from a reputable university
  • Experience with novel forms of geospatial and urban data such as digital twins and street view imagery – in particular acquiring and processing them with state of the art techniques.
  • Solid experience in programming, preferably both Python and R. A developed Github repository will be viewed favourably.
  • Good experience in computer vision / deep learning and image processing.
  • Excellent knowledge of the geospatial process and spatial analysis in the domain of urban studies, together with GIS tools such as QGIS and/or ArcGIS, and geospatial packages in key programming languages such as Python and R.
  • Experience in scientific publications, preferably journal papers.
  • Curiosity and passion to explore new concepts, methods and technologies, and capability of identifying and quickly learning the most suitable tools for the research on the go.
  • The demonstrated ability to conduct research independently and a track record of interdisciplinary research will be evaluated positively.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Architecture
Employee Referral Eligible: No
Job requisition ID : 17428

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