Fully-Funded Graduate Student in “Indoor Environmental Control and Energy efficient operation of smart buildings” at Texas A&M University [Fall 2021 or Spring 2022]

Texas-AM-University

Deadline: As Soon As Possible

A fully-funded graduate student (MS. or PhD) position in the department of construction science at Texas A&M University is available to join the Human-centered Intelligent Built Environments (HIBE) lab and work in the area of “indoor environmental control and energy efficient operation of smart buildings”.

About the Graduate Position 

The Human-centered Intelligent Built Environments (HIBE) lab at TAMU focuses on utilizing of different technologies like Internet of Things (IoT), sensor signal processing, Machine Learning (ML) and Artificial Intelligence (AI) to make the operations of our built environment more adaptive and more human-centered. The objectives are to improve human comfort, productivity and well-being by using intelligent indoor environmental controls while trying to maintain energy efficient building operations. Some example topics of interest are:

  • Human-Building Interaction
  • Thermal comfort modeling and control of HVAC and personal comfort systems
  • Physiological monitoring to understand the impact of indoor environment
  • Grid-Interactive Efficient buildings
  • Building energy simulations with occupant behavior
  • Wearable sensing for construction safety

Duties and Responsibilities 

The admitted student will work with Dr. Ashrant Aryal in the area of “indoor environmental control and energy efficient operation of smart buildings”. The research topic will involve sing IoT-enabled sensors and actuators, signal processing, machine learning, building energy analysis, and other emerging technologies.

Eligibility

  • Candidates should have a B.S. or M.S. in Civil Engineering, Architectural Engineering, Construction Science, Mechanical Engineering, or related fields.
  • Ideal Candidate will be comfortable progamming in Python, MATLAB or other langaugaes and have some knowledge of data science, Machine Learning, Sensing Systems, and Building Energy Simulation.
  • Priority will be given to students interested in pursing a Ph.D., but M.S. students interested in pursing reearch are also encouraged to apply

Application

If you are interested and want to apply for this position, please contact Dr. Ashrant Aryal at ashrantaryal@tamu.edu with the following documents:

  • Statement of purpose,
  • CV
  • Academic Transcript

For more information: about the position, please contact Dr. Ashrant Aryal at ashrantaryal@tamu.edu. You can also Visit the institution website

To apply: Send the above documents to Dr. Ashrant Aryal at ashrantaryal@tamu.edu


About Texas A&M University

Located in the heart of the Houston-Dallas-Austin triangle and within a two-hour drive of 26 million of the state’s 28 million residents, Texas A&M’s main campus in College Station is home to more than 69,000 students. With 133 undergraduate degree programs, 175 master’s degree programs, 92 doctoral degree programs and 5 first professional degrees as options for study, Texas A&M is full of possibilities.