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Pennsylvania State University Researcher - Civil and Environmental Engineering in University Park, Pennsylvania

APPLICATION INSTRUCTIONS:

  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.

  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.

  • If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Department of Civil and Environmental Engineering (https://www.cee.psu.edu/) at the Pennsylvania State University is seeking a highly motivated Researcher to work in the Multi-scale Hydrology Processes and Intelligence group (MHPI). The successful candidate will work with our team to support work developing models using machine learning techniques to improve our understanding of hydrological processes.

Responsibilities include, but are not limited to:

  • Participate in the preparation of manuscripts for publication in peer-reviewed journals.

  • Perform general research group duties, including preparation of funding proposals and coordination with research partners.

  • Collaborate with other researchers and scientists integrating hydrological and machine learning models into decision-making tools for water resources management.

  • Support the application of machine learning techniques to analyze large datasets and develop predictive models.

  • Present research findings at scientific conferences and workshops.

    The Researcher should possess a master's degree or its equivalent, or be an active candidate for a terminal degree, in an academic field related to their research. D egrees in Hydrology, Water Resources, Computer Science, or related fields are preferred. The successful candidate will have strong written and oral communication skills, as well as the ability to work independently and as part of a team. Experience with programming languages such as Python, R, or Matlab is required. Experience with machine learning techniques and prior experience in water resources or environmental research are preferred.

This is a term appointment for 2 years with an excellent possibility of renewal. Review of applications will begin immediately and continue until the position is filled.

The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in  all of  its forms.   We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here (https://police.psu.edu/annual-security-reports) .

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Federal Contractors Labor Law Poster (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

PA State Labor Law Poster

Affirmative Action (https://policy.psu.edu/policies/hr11)

Penn State Policies

Copyright Information (https://www.psu.edu/copyright-information)

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