标题: 加拿大阿尔伯塔大学University of Alberta 建筑科学专业 Building Science 招收博士生 [打印本页] 作者: IDOBE 时间: 2022-6-24 22:31:29 标题: 加拿大阿尔伯塔大学University of Alberta 建筑科学专业 Building Science 招收博士生
加拿大阿尔伯塔大学University of Alberta 建筑科学专业 Building Engineering/Building Science 长期招收博士生 (夏秋冬季均可入学) 以下信息由导师 陈宇翔教授提供。
There are fully funded Ph.D. positions at the IDOBE (Intelligent Design & Operation for Built Environment) research group University of Alberta, Edmonton, Canada. IDOBE group and Dr. Yuxiang Chen are looking for applicants with an MSc degree, at least one published conference paper, and one submitted journal paper; a strong background in:
Most engineering disciplines (e.g., mechanical, civil and environmental, electrical, chemical and materials).
Computer science
Applied math
Exceptions can be made for highly motivated/self-funded students from other disciplines
Interested candidates can email for further details. Please include unofficial transcripts, English proficiency test results, and resumes to idobe@ualberta.ca
The IDOBE group is dedicated to the goal of building a diverse and inclusive academic community. Our group is continuously offering opportunities to dedicated people who would like to deepen their understanding of the built environment and contribute to its sustainable development. We strongly invite and encourage applications from candidates who are members of underrepresented groups (those who identify as women, racialized, LGBTQ2S+, Indigenous, and/or people with disabilities).
The IDOBE group focuses on the modeling, design, and operation of sustainable buildings, communities, greenhouses, and their systems, with the following keywords:
Thermal (heat transfer), illumination (natural and electric)
Physics-based and data-driven (machine learning, Bayesian estimation) modeling
Experimental, theoretical, and application
Modular, additive, prefabricated, and robotic construction
Energy-efficient, resilient, and sustainable
Computational and intelligent design and management
Examples of ongoing projects:
Modeling, design, and operation of building-integrated thermal energy storage;
Intelligent design and construction of masonry buildings;
Advanced thermal modeling and calculation of effective thermal resistance;
Design and data-driven modeling of hybrid heating systems;
Energy-efficient community greenhouses for cold-climate regions;
Adaptive system identification for predictive control;
Integrated design and operation for room thermal conditioning, daylighting, and electric lighting.
