Weiwei Mo
12 months ago
PhD opportunity University of New Hampshire in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully supported with tuition and stipend
Deadline
Expired
Country
United States
University
University of New Hampshire
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Where to contact
Official Email
Keywords
Computer Science
Data Science
Geology
Participatory Action Research
Ecology
Environmental Science
Systems Engineering
Mechanical Engineering
Remote Sensing
Sustainable Development
Geography
Hydrology
Network Analysis
Urban Planning
Climate Science
Civil Engineering
Industrial Engineering
Spatial Analysis
Art
Geophysics
Historical Ecology
Environmental Law
Graph Theory
Water Resource Management
Environmental Policy
Life Cycle Assessment
Environmental Psychology
Environmental Ethics
Environmental Conservation
Environmental Economics
Space Technology
Environmental Sustainability
Impact Assessment
System Dynamics
Ecological Modeling
Contaminant Remediation
Microgrid Technology
Outdoor Education
Environmental Sociology
Stormwater Management
Environmental Communication
Technical Writing
Environmental Epidemiology
Environmental Physics
Environmental Quality
Stakeholder Perspective
Technical Skills
Material Flow
Machine learning
About this position
PhD opportunity at University of New Hampshire, USA
Please share widely:
We’re looking for 2-3 highly motivated PhD students to join us to work on funded projects related to the design and implementation of nature-based solutions using participatory science and AI, sustainable in-space manufacturing, and microgrid sustainability. Selected candidates will be fully supported with tuition and stipend. If you feel you are a good fit and have one or more of the qualifications mentioned below, please send your inquiry along with your CV to Dr. Weiwei Mo ( [email protected] ) and Dr. Fei Han ( [email protected] ). Applications are accepted until the positions are filled. Please feel free to share this opportunity around.
Research topics:
· Infrastructure system modeling
· Spatial-temporal optimization
· AI-driven stormwater modeling
· Serious gaming
· Sustainability for in-space manufacturing
· Microgrid sustainability and resilience
Preferred qualifications (one or more):
· Machine learning/AI/computer vision
· SWMM or other types of stormwater modeling
· System dynamic modeling
· Life cycle assessment/Material flow analysis
· Graph theory and network analysis
· GIS
· Programing skills (Python/C++/Matlab/javascript…)
· Stakeholder surveys and interviews
· Strong communication and technical writing skills
We’re looking for 2-3 highly motivated PhD students to join us to work on funded projects related to the design and implementation of nature-based solutions using participatory science and AI, sustainable in-space manufacturing, and microgrid sustainability. Selected candidates will be fully supported with tuition and stipend. If you feel you are a good fit and have one or more of the qualifications mentioned below, please send your inquiry along with your CV to Dr. Weiwei Mo ( [email protected] ) and Dr. Fei Han ( [email protected] ). Applications are accepted until the positions are filled. Please feel free to share this opportunity around.
Research topics:
· Infrastructure system modeling
· Spatial-temporal optimization
· AI-driven stormwater modeling
· Serious gaming
· Sustainability for in-space manufacturing
· Microgrid sustainability and resilience
Preferred qualifications (one or more):
· Machine learning/AI/computer vision
· SWMM or other types of stormwater modeling
· System dynamic modeling
· Life cycle assessment/Material flow analysis
· Graph theory and network analysis
· GIS
· Programing skills (Python/C++/Matlab/javascript…)
· Stakeholder surveys and interviews
· Strong communication and technical writing skills
Funding details
Fully supported with tuition and stipend
How to apply
Send inquiry along with CV to Dr. Weiwei Mo ([email protected]) and Dr. Fei Han ([email protected])
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