Postdoctoral Researcher – Urban Analytics and High-Density Living

About the role

The Singapore-ETH Centre, together with the National University of Singapore and the Singapore Management University, runs the project "Mind the density", which quantifies how design scenarios soften high-density living. As a postdoctoral researcher you will help turn human-centred urban analytics into evidence-backed guidance for high-density urban design, under the supervision of Assoc. Prof. Filip Biljecki (NUS) and Asst. Prof. Matias Quintana (SMU). The position is full-time, 12 months, based at NUS University Town.

Key responsibilities

• Co-develop Work Package 1: deep learning models for geo-spatial data science and street-view imagery segmentation, and applications, datasets and use cases on public street-view imagery and longitudinal cohort studies.
• Co-develop and publish journal and conference articles, and present research to international audiences.
• Support the wider module: attend team meetings, help colleagues, contribute to academic papers, give internal and external talks, and help prepare funding proposals.

Required profile

• PhD degree completed and conferred.
• Demonstrable experience with machine learning tools and workflows (e.g. Hugging Face, Keras, Torch).
• Experience deploying field data collection such as online surveys.
• End-to-end research experience and academic writing; experience writing Python and R scripts and using tools such as Git and AWS.
• English at professional working level; proactive, rational, interpersonal and a team player.

Required skills

• Machine learning frameworks (Hugging Face, Keras, Torch)
• Python and R scripting
• Git, AWS

What we offer

• Remuneration commensurate with qualifications and experience.
• 25 days of annual leave for fixed-term contracts, birthday leave, annual dental benefits and comprehensive health insurance.
• Flexible hybrid work up to 2 days per week from home.
• Networking across disciplines and a diverse, inclusive workplace.

Applications are submitted online with a cover letter stating motivation, a CV and a GitHub repository or website of previous projects; optional writing samples are welcome. Applications by email or post are not accepted.