Publisher
source

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 flag

Country

United States

University

University Name
Social connections

How do Bangladeshi students apply for this?

Sign in for free to reveal details, requirements, and source links.

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

?? We’re hiring Ph.D. Students in NEST-VT and the Sustainable Energy and Environments (SEE) Lab!

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

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

How to apply

Reach out via email with specific requirements

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors