This project is potentially funded by the Scenario NERC Doctoral Training Partnership, subject to a competition to identify the strongest applicants.
Due to restrictions on the funding this studentship is open to UK students and EU students who have lived in the UK for the past three years. The DTP can only fund a very limited number of international students, so only applications from international students with an outstanding academic background placing them in the top 10% of their cohort will be considered.
Duan, S., Luo, Z., Li, Y. and Yang, X. (2019) The impact of building operations on urban heat/cool islands under urban densification: a comparison between naturally-ventilated and air-conditioned buildings. Applied Energy, 235. pp. 129-138.
Sun, T. and Grimmond, S. (2019) A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration. Geoscientific Model Development, 12 (7). pp. 2781-2795.
Lin, H., Shu, Z., Wu, G, and Xu, Y. “Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design,” IEEE Trans. Automatic Control, 61: 1794-1809