Phd Research Assistantship: Smart Data for Smart Modeling for Smart Water and Energy Management
Want to work with big data? Keen to link multiple water, energy, technical, behavioral, psychological, landscape, contextual, and other data streams? Like modeling across multiple platforms? Want to connect smart data and models to help utilities better manage water and energy?
A doctoral research assistantship is available starting January 2019 funded by the Utah Water Research Labortaory / Department of Civil & Environmental Engineering at Utah State University to develop smart data and smart models at a variety of individual user, utility, and larger scales to improve water and energy management. The Ph.D. researcher will work with multiple streams of high and lower frequency data that help characterize residential and non-residential users’ motivations, opportunities, encouragement, situational factors, social networks, and abilities to conserve water and energy.
Potential areas of study may include:
- Characterize skewness in water use data sets across locations and implications for targeted conservation programs
- Develop tools to streamline the feeding of multiple data streams to demand models
- Develop and compare water use estimates from statistical, Monte Carlo, agent-based, and learning models to measured use
- Build psychologically-grounded visual analytics tools to provide information to users and utilities
- Apply data and models to target conservation actions to customers who will save the most water and energy
Prospective students should have a background in engineering, hydrology, water resources, hydroinfomatics, or a related field. Priority will be given to students who think creatively, have experience or strong interest in computer programming, modeling, model development, data acquisition, want to work with users, and/or can add a climate adaptation focus (https://climateadaptation.usu.edu/).
This Ph.D. assistantship includes a monthly stipend, tuition waiver, and will be awarded through the Department of Civil and Environmental Engineering and Utah Water Research Laboratory with supervision by Dr. David E. Rosenberg. Direct further questions to Dr. Rosenberg at email@example.com or 435-797-8689 with the subject line “Phd-Smart Data Smart Modeling”.
- Email Dr. Rosenberg a Curriculum Vitae, pdf copy of your most relevant publication, contact info for three references, and a cover letter that describes why you want to work on this project and what differentiates you from other candidates.
- Formally apply to the USU graduate school http://www.usu.edu/graduateschool/.
Utah State University is an Affirmative Action, Equal Opportunity Employer and strongly encourages applicants from all backgrounds to apply. Utah State University is Utah’s flagship of higher education and research in the areas of water, natural resources, and the environment. Both USU and the Utah Water Research Laboratory are situated in Logan, Utah in the heart of scenic Cache Valley, approximately 80 miles north of Salt Lake City and known for world class skiing, hiking, cycling, and other year-round outdoor activities.