Jobs:Job-01380: Difference between revisions

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|Working group member=Terrestrial Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group, Artificial Intelligence & Machine Learning Initiative
|Working group member=Terrestrial Working Group, Hydrology Focus Research Group, Critical Zone Focus Research Group, Artificial Intelligence & Machine Learning Initiative
|JOB bodytext=I am seeking prospective PhD students to join my mountain hydrology research group at Montana State University in the Department of Civil Engineering, starting in either the Spring or Fall of 2024. The primary focus will be on mountain hydrology, with flexible research topics such as snow hydrology, land-atmosphere interactions, wildfires, spatial variability, machine learning, and more.
|JOB bodytext=I am seeking prospective PhD students to join my mountain hydrology research group at Montana State University in the Department of Civil Engineering, starting in either the Spring or Fall of 2024. The primary focus will be on mountain hydrology, with flexible research topics such as snow hydrology, land-atmosphere interactions, wildfires, spatial variability, machine learning, and more.


The preferred candidate should have a MS degree in engineering or science and skills in programming languages (eg., Python, Fortran, C). You can get more information about me and my research at https://www.montana.edu/ce/directory/2458615/siwei-he. Our research group is committed to creating an equitable, supportive, and inclusive environment. Interested applicants should send a CV and a personal statement of background and interests to me at siwei.he@montana.edu.
The preferred candidate should have a MS degree in engineering or science and skills in programming languages (eg., Python, Fortran, C). You can get more information about me and my research at https://www.montana.edu/ce/directory/2458615/siwei-he. Our research group is committed to creating an equitable, supportive, and inclusive environment. Interested applicants should send a CV and a personal statement of background and interests to me at siwei.he@montana.edu.
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Siwei
Siwei


Siwei He,     
Siwei He,  
    
Ph.D., Assistant Professor,     
Ph.D., Assistant Professor,     
Civil Engineering Department,     
Civil Engineering Department,     
Montana State University,     
Montana State University,     
Email: siwei.he@montana.edu,     
Email: siwei.he@montana.edu,     
Web: https://www.montana.edu/ce/directory/2458615/siwei-he
Web: https://www.montana.edu/ce/directory/2458615/siwei-he


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Revision as of 15:09, 3 October 2023

PhD opportunities in Mountain Hydrology - Montana State University
Montana State University, Montana, United States
Start reviewing process: 6 November 2023


I am seeking prospective PhD students to join my mountain hydrology research group at Montana State University in the Department of Civil Engineering, starting in either the Spring or Fall of 2024. The primary focus will be on mountain hydrology, with flexible research topics such as snow hydrology, land-atmosphere interactions, wildfires, spatial variability, machine learning, and more.

The preferred candidate should have a MS degree in engineering or science and skills in programming languages (eg., Python, Fortran, C). You can get more information about me and my research at https://www.montana.edu/ce/directory/2458615/siwei-he. Our research group is committed to creating an equitable, supportive, and inclusive environment. Interested applicants should send a CV and a personal statement of background and interests to me at siwei.he@montana.edu.

Applications are accepted on a rolling basis, but highest priority will be given to those received by November 6, 2023.

Best, Siwei

Siwei He,

Ph.D., Assistant Professor,

Civil Engineering Department,

Montana State University,

Email: siwei.he@montana.edu,

Web: https://www.montana.edu/ce/directory/2458615/siwei-he

Of interest for:
  • Terrestrial Working Group
  • Hydrology Focus Research Group
  • Critical Zone Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative