Research Assistant - FCLG Operationalisation Project

About the role

The Singapore-ETH Centre, a joint research centre between ETH Zurich and Singapore's National Research Foundation, is recruiting a full-time Research Assistant for a 12-month fixed-term project on high-density urban environments. The project, led by Assoc. Prof. Filip Biljecki (NUS) and Asst. Prof. Matias Quintana (SMU), operationalises evidence on how urban form and design affect perception, cognition and behaviour, combining large-scale field data collection with laboratory studies.

Key responsibilities

• Co-develop Work Package 1: deep learning models for geo-spatial data science and street-view imagery segmentation, and applications, features and datasets based 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 module's research: attend team meetings, help researchers, contribute to academic papers and presentations, and lead or assist in preparing funding proposals.

Required profile

• Completed Master's degree.
• Demonstrable experience with machine learning tools and workflows (e.g. Hugging Face, Keras, Torch).
• Experience deploying field data collection such as online surveys.
• Research experience in end-to-end experiments and academic writing.
• Professional English and a proactive, rational and interpersonal approach; self-motivated and curious.

Required skills

• Python programming and R scripting.
• Use of developer tools such as Git and AWS.
• Desirable: a GitHub repository showing past or ongoing work, and interest in spatial data science and urban topics.

What we offer

• 25 days of annual leave and 1 day of birthday leave.
• Annual dental benefits and comprehensive healthcare insurance.
• Flexible hybrid work up to 2 days per week from home.
• A diverse, inclusive workplace with networking opportunities across disciplines.

Applications must be submitted online with a cover letter stating motivation, a tailored CV (including a GitHub repository or website of previous projects), and optionally a writing sample. Applications by email or post are not considered.