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LOOKING FOR
Position - Visiting students / Visiting scholars / RAs
Research Area

  • Human-Environment Interactions

  • Machine learning for visual perception

  • Stress levels

  • Brains responses to spatial complexity

  • Spatial psychology

Candidates Requirements

  • Familiar with quantitative research is preferred, as well as familiarity with design software. Previous research experience is also preferred. Candidates with experience in writing research funding applications are highly welcome.

  • Candidates familiar with machine learning and coding are encouraged to apply.

  • Candidates from computer science and/or engineering backgrounds are encouraged to apply, as well as candidates with architectural background

  • Candidates with interdisciplinary background are encouraged to apply.​​

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       Interested candidates are welcome to get in touch at mzordan@sustech.edu.cn

Position- Ph.D. Candidate
Future Spaces Vision Lab

Professor Mirna’s research is actively exploring human-environment interactions through data driven spatial psychology. Her research replies to the SDGs agenda for psychological health and well-being and focuses on stress levels and brain responses to visual complexity. She received her BA and MA at IUAV The University of Venice together with her license for practicing Architecture. She holds a PhD from City University of Hong Kong awarded with the Hong Kong PhD Fellowship Scheme (HKPFS). After working as an architect in Sydney, she was also a senior research fellow in Venice and taught and was an invited lecturer in several international institutions and practices in Mexico, Italy, and Hong Kong. Before joining SUSTech, she was working in The University of Hong Kong.

More Info. here: https://www.mirnazordan.com

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Research Area: Responsive Environments

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Research Keywords:

  • Therapeutic Environments

  • HCI for Environments

  • Bio-signals

  • Human-Environment Interactions

  • Mental Health

Qualifications

  • Familiar with quantitative research is preferred, as well as familiarity with design software. Previous research experience is also preferred. Candidates with experience in writing research funding applications are highly welcome.

  • Candidates familiar with machine learning and/or coding are encouraged to apply.

  • Candidates from computer science and/or engineering backgrounds are envouraged to apply, as well as candidates with architectural background. 

  • High proficiency in English and Chinese (written & spoken). The working language is English. 

  • Interest in public health and human-environment interactions.

Application Deadline

31 May 2024

Application and Contact

To apply, please send your CV and research proposal to: mzordan@sustech.edu.cn

For questions, do not hesitate to contact Prof. Mirna Zordan at mzordan@sustech.edu.cn

https://mp.weixin.qq.com/s/z7zct7EVT9mKM7yDFOcL7Q

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