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Nina Sharp

1 week ago

Funded PhD in Architecture: Human–Light Interactions and Health at Arizona State University Arizona State University in United States

I am recruiting a funded PhD student in Architecture to study human–light interactions and health at Arizona State University.

Arizona State University

United States

Date not provided

Keywords

Physiology
Architecture
Lighting Design
Design Education
Statistics
Data-analysis
And Neurocognitive Health

Description

The DeSmart Lab at The Design School, Arizona State University, is seeking a motivated PhD student in Architecture to join a funded research project focused on human–light interactions. The research will explore how lighting impacts physiological and cognitive health outcomes, offering an interdisciplinary approach that bridges architecture, health, and engineering. The ideal candidate will have a master's degree in Architecture, Architectural Engineering, lighting, Electrical Engineering, or a related field, with a strong record of peer-reviewed publications and prior research experience. Proficiency in statistics and data analysis is essential, as is a demonstrated passion for solving complex problems and the ability to work both independently and collaboratively. The position is supervised by Assistant Professor Nina Sharp, and the successful applicant will join a dynamic research environment at Arizona State University. Funding is available, though specific details are not disclosed. Interested candidates should send their CV to [email protected]. For more information about the lab and research focus, visit the provided LinkedIn profiles.

Funding

This is a funded PhD opportunity. Specific details about the funding amount, stipend, or tuition coverage are not provided.

How to apply

Send your CV to [email protected] to express your interest in the position.

Requirements

Applicants should have a master's degree in Architecture, Architectural Engineering, lighting, Electrical Engineering, or related fields. Peer-reviewed publications and solid prior research experience are required. Strong skills in statistics and data analysis are expected. Candidates should demonstrate intellectual curiosity, passion, initiative, and the ability to work both independently and collaboratively.

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