FUNDED RESEARCH POSITION
The Digital and Interdependent Built Environment (DII) Lab
A Ph. D. graduate assistant positions with full financial support are available as early as Spring 2021 or Fall 2021. The admitted students are expected to work with Dr. Yuqing Hu in smart and sustainable building and community analysis, including but not limit to building energy modeling, geospatial analysis, computer vision, machine learning, sensing, and network modeling.
Ideal candidates will have the following attributes:
- Background in building system analysis, energy modeling and optimization.
- Knowledge of Building Information Modeling and Geographic Information System
- Have prior experience in data science and network analysis
- Have prior experience of Dynamo, ArcGIS, Python or any other coding language
- Interest in urban energy modeling
As for the major, applicants with a B.S. or M.S. in Architecture Engineering, Mechanical Engineering, Civil Engineering, Construction Engineering, Computer Science/Engineering, or a related field are encouraged to apply. Other majors can also be considered if the applicant has a strong interest or motivation.
Applications should include a full resume or C.V., transcripts from previous degrees, a statement of intent, contact information for three references, and TOEFL/IELTS scores (for international applicants). For more information about the department and to apply please visit – https://www.ae.psu.edu/academics/graduate/how-to-apply.aspx . If you are interested in this opportunity, please contact Dr. Yuqing Hu (firstname.lastname@example.org), Department of Architectural Engineering, 208 Engineering Unit A, University Park, PA 16802.
About the DII Lab
The DII lab focuses on interdependent system analysis in the built environment. We aim to use information technology, graph/network analysis, and machine learning methods to analyze multi-scale interdependent systems: 1) among building components, among buildings, and between buildings and urban environments, for achieving smart and sustainable buildings and communities. For more information, please check the website (https://sites.psu.edu/diilab/) or contact Dr.Hu