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Research Fellow, Department of Architecture

Employer
NATIONAL UNIVERSITY OF SINGAPORE
Location
Singapore
Closing date
22 Jan 2022

Job Description

Job and project description

The Urban Analytics Lab at the National University of Singapore (NUS) is seeking a postdoc to join the group and spearhead research at the interface of the domains of the Lab:

  • GIS/Geospatial technologies
  • AI/Machine learning/Computer vision
  • Digital twins
  • Urban data science

Candidates should have a computational affinity and a PhD degree (e.g. in computer science, geographical information science, geomatics, architecture, mechanical engineering, or another relevant field of study), preferably with a demonstrated track record (in terms of publications/impact and/or other forms of output such as development of tools).

Qualifications

Qualifications & Skills Requirement

You should demonstrate that you possess:

  • A PhD degree in a related discipline from a reputable university. Current PhD candidates are eligible to apply as well, provided that they are in the final stage of their studies and that their PhD degree will be completed before the start of the appointment.
  • An ability to conduct research independently.
  • Experience with publications, writing skills, and a strong affinity to publish.
  • Proficiency in one or more of the following areas: AI/ML, GIS, game engines, Geomatics, 3D city modelling, computer science, computer vision, urban planning, and/or urban simulations.
  • Good communication skills in English, and an ability to present research in both academic and non-academic venues.
  • Experience with programming.
  • An ability to supervise others (e.g. students and junior researchers).
  • 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.
  • A positive and proactive stance on open science, preferably with demonstrated activities such as using and developing open-source software, releasing data as open data, and promoting reproducible research

Our offer

  • You will be working on compelling research activities at the forefront of geographical information science and urban data science in a new research group that is gaining a strong momentum in Singapore and overseas.
  • Possibility of collaborating with the industry and have an industrial attachment in the final stage of the project.
  • You will advance your research and transferable skills required for the next stage of your career.
  • You will work in a research and educational environment where you may not only contribute to your own development, but also to others, e.g. by supervising master theses that may arise as part of the research.
  • Opportunity to make impactful contributions in the field, on a globally relevant and growing topic.
  • Visibility and exposure of your work.
  • Potential contact with industrial and governmental partners, both locally and internationally.
  • A diverse, inclusive, and flexible working environment.
  • Exploring new ideas and an opportunity to experiment with the state of the art.
  • The remuneration will be determined according to the university’s salary range depending on the degree and experience.

Application

Please apply by email to filip@nus.edu.sg (please write “Application for the postdoc position on digital twins” in the subject). The full text of this ad and the list of required materials is available on the Lab’s website (https://ual.sg).

In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection, use and disclosure of personal data, using the NUS Personal Data Consent for Job Applicants form.

Applications will be considered as they are received and the position will remain open until filled.

For general information about academic jobs at NUS, please visit NUS Academic Appointments.

More Information

Location: Kent Ridge Campus
Organization: School of Design And Environment
Department : Architecture
Employee Referral Eligible: N
Job requisition ID : 8248

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