Mads Rønne Almassalkhi
1 year ago
Ph.D. recruitment for NEST-VT and the Sustainable Energy and Environments (SEE) Lab University of Vermont (UVM) in United States
Degree Level
PhD
Field of study
Machine Learning
Deadline
Expired
Country
United States
University
University Name
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Where to contact
Official Email
No info
Keywords
Machine Learning
Environmental Science
Systems Engineering
Renewable Energy Engineering
Mathematical Modeling
Fluid Mechanics
Renewable Energy
Thermal Engineering
Life Cycle Assessment
Biomimicry
Systems Thinking
Thermal Energy Storage
Power System
Control System
Sustainable Energy Systems
Power And Energy Systems
Multi-energy Hub Systems
Building And Thermofluid Systems
About this position
Join our team!! The Next-gen Energy Systems Team of Vermont (NEST-VT) is recruiting highly motivated and creative Ph.D. students for Fall 2025. NEST-VT sits in the Center for Resilient Energy & Autonomous Technologies in Engineering (CREATE)!
So, if you feel like you can make something work that matters, then reach out and apply and let's ?? ?? ?? ? ?? for ??!
Specifically, our newest colleague Prof. Kathryn Hinkelman 's SEE Lab is recruiting multiple Ph.D. students interested in:
1) designing and modeling thermal energy storage (esp. sand/silica storage); and
2) design and optimization of multi-energy hub systems.
Also, Prof. Samuel Chevalier is also recruiting a new Ph.D. student to advance machine learning verification methods for power/energy applications.
Recommended background: an applicant should be able to demonstrate effective communication skills (written/verbal/visual), an ability to work independently within a larger team, and have experience with at least 2 of the following:
? Mathematical analysis (e.g., numerical methods, logic, dynamics, stochastic processes, learning)
? Power and energy systems (e.g., AC load flow, OPF, load modeling, microgrids, power cycles, or DERs)
? Building and thermofluid systems (e.g., HVAC/R, district energy, or thermal storage)
? Control systems (e.g., classical and modern control, stability analysis, or predictive control)
To apply: We encourage you to reach out to us via email (see contact info below). Please use email subject header containing Fall2025 and include the following:
1) A concise statement about your research interests/experiences
2) Describe which collaborative opportunity (see below) is of interest and why
3) Your CV and unofficial transcripts along with any language scores.
Good luck to us all!
CC: Amritanshu Pandey
So, if you feel like you can make something work that matters, then reach out and apply and let's ?? ?? ?? ? ?? for ??!
Specifically, our newest colleague Prof. Kathryn Hinkelman 's SEE Lab is recruiting multiple Ph.D. students interested in:
1) designing and modeling thermal energy storage (esp. sand/silica storage); and
2) design and optimization of multi-energy hub systems.
Also, Prof. Samuel Chevalier is also recruiting a new Ph.D. student to advance machine learning verification methods for power/energy applications.
Recommended background: an applicant should be able to demonstrate effective communication skills (written/verbal/visual), an ability to work independently within a larger team, and have experience with at least 2 of the following:
? Mathematical analysis (e.g., numerical methods, logic, dynamics, stochastic processes, learning)
? Power and energy systems (e.g., AC load flow, OPF, load modeling, microgrids, power cycles, or DERs)
? Building and thermofluid systems (e.g., HVAC/R, district energy, or thermal storage)
? Control systems (e.g., classical and modern control, stability analysis, or predictive control)
To apply: We encourage you to reach out to us via email (see contact info below). Please use email subject header containing Fall2025 and include the following:
1) A concise statement about your research interests/experiences
2) Describe which collaborative opportunity (see below) is of interest and why
3) Your CV and unofficial transcripts along with any language scores.
Good luck to us all!
CC: Amritanshu Pandey
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Have you ever wondered how we can learn from # nature 's # ecosystems to design # SustainableEnergy systems in # BuiltEnvironments ? Join a collaborative team at # UVM dedicated to advancing clean energy and tackling # ClimateChallenges with innovative, sustainable solutions.
# EnvironmentalEngineersForEnergy # PhDRecruitment # LifeCycleAssessment # Biomimicry # SystemsThinking # STEM