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Latest revision as of 05:37, 15 August 2019

Postdoc and PhD positions in hydrologic machine learning at Penn State University
Penn State University, Pennsylvania, United States
Start reviewing process: 15 September 2019


Dear all,

Just to follow up with this previous ad. This formal link to apply for the postdoc position is here https://psu.jobs/job/90085


The PhD position can be applied for through the PSU graduate school. http://gradschool.psu.edu/apply/?mobileFormat=false


More information about the Multi-scale Hydrology Processes and Intelligence group (MHPI) http://water.engr.psu.edu/shen/index.html


On Tue, Jul 30, 2019 at 2:46 PM Chaopeng Shen <shen.chaopeng@gmail.com> wrote: Dear all,

In anticipation of incoming vacancies, I am seeking both a postdoctoral scholar and a PhD graduate student to work on projects utilizing recent progress in deep learning in hydrologic and hydrology-related predictions. The scholars will have the chance to work on multi-disciplinary projects including the Google AI Impacts Challenge project (https://sites.google.com/view/deepldb) and a new project that examines the interactions between hydrology and other domains. A full description of both projects can be solicited from Dr. Chaopeng Shen (cshen@engr.psu.edu) by email. The selected candidates will interact with large groups of researchers, will be using state-of-the-art machine learning techniques and will learn new methodologies in solving complex issues.


This is an informal invitation for interested applicants to contact Shen. The formal job application portal for the postdoc position will be open later. The postdoc position may start as soon as October this year or early next year. Strong, documented coding skill is a must for both positions, while it is not limited to a particular programming language. Background in machine learning or deep learning is a plus but not required.


Chaopeng Shen, Associate Professor
Department of Civil and Environmental Engineering
231C Sackett Building
The Pennsylvania State University
University Park, PA 16802
Email: cshen@engr.psu.edu
Twitter: @ChaopengShen
Office: 814-863-5844

Lab website: http://water.engr.psu.edu/shen

Of interest for:
  • Hydrology Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative