Research Assistant, Department of Architecture, Geospatial Engineer/Data Scientist, position at NATIONAL UNIVERSITY OF SINGAPORE

job description

Duties and Responsibilities

The Urban Analysis Laboratory at National University of Singapore (NUS) is looking for a Research Assistant to join the research group and assist in research in the field of geospatial and data science – 3D/BIM city models, data integration) and use cases, under the aegis of digital twins.

The successful candidate will be engaged in new lines of research in the context of digital twins, namely: the integration of emerging data sources, the initiation of new means of benchmarking and data quality assessment and workflows, and the development of new building/urban/geospatial use cases. data infrastructure in the context of smart cities.

Applicants should have an IT affinity and a degree in Computer Science, Geographic Information Science, Geomatics, Mechanical Engineering, or another relevant field of study, with demonstrated experience (in terms of work experience and /or publications/impact and/or other forms of output such as tool development).

Qualifications

Qualifications and skills required

Qualifications required

You must demonstrate that you have:

  • A degree in a related discipline from a reputable university. Current students can also apply, provided they are in the final stages of their studies and have completed their degree before the start of the appointment.
  • An ability to conduct research semi-independently.
  • A publication record is not required, but applicants with demonstrated impact, writing skills and a strong affinity for publishing are encouraged to highlight these in their application.
  • Proficiency in one or more of the following areas: GIS, IT, game engines, geomatics, 3D urban modeling, computer vision / AI / ML, urban planning and/or urban simulations.
  • Good communication skills in English and ability to present research in academic and non-academic venues.
  • Programming experience. We will prioritize candidates who can demonstrate these qualities via a Github profile or similar proof.
  • Curiosity and passion for exploring new concepts, methods and technologies, and the ability to quickly identify and learn the most appropriate tools for research on the go.
  • A positive and proactive stance on open science, preferably with demonstrated activities such as using and developing open source software, publishing data as open data, and promoting reproducible research.

Our offer

  • You will work on compelling research activities at the forefront of geographic information science and urban data science in a new research group that is gaining momentum in Singapore and abroad.
  • You will advance your research and the transferable skills required for the next stage of your career. You will be welcome to explore and learn new tools and technologies, and expand your current skills.
  • You will work in a research and teaching environment where you will not only be able to contribute to your own development, but also to that of others, for example by supervising master’s theses which may arise in the context of research.
  • Opportunity to make impactful contributions from the field, on a globally relevant and growing topic.
  • Visibility and exposure of your work.
  • Potential contact with industry and government partners, both locally and internationally.
  • A diverse, inclusive, friendly and flexible work environment.
  • Explore new ideas and an opportunity to experience the state of the art.
  • Remuneration will be determined according to the salary scale of the university according to the degree and experience.

Please note that this is not a PhD. This is a full-time research job.

Application

Please apply by email to [email protected] (please write “Application for postdoc position on digital twins” in the subject). The full text of this announcement and the list of required materials are available on the Lab’s website (https://ual.sg).

More information

Site: Kent Ridge Campus
Organization: School of Design and Environment
Department: Architecture
Eligible Employee Referral: No
Job Application ID: 8394

Sean N. Ayres