Researcher - Civil and Environmental Engineering

The Pennsylvania State University; University Park (PA, TX); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a motivated Researcher to join their Multi-scale Hydrology Processes and Intelligence group. This role focuses on developing machine learning models to enhance understanding of hydrological processes. The successful candidate will engage in collaborative research, prepare scholarly publications, and present findings at conferences. This is a unique opportunity to contribute to innovative water resources management solutions while working in a supportive and inclusive environment. Join a team dedicated to advancing knowledge and making a meaningful impact in the field.

Qualifications

• Master's degree or equivalent in Hydrology, Water Resources, or Computer Science preferred.
• Experience with machine learning techniques in environmental research is preferred.

Responsibilities

• Prepare manuscripts for publication in peer-reviewed journals.
• Collaborate on integrating hydrological and machine learning models.
• Analyze large datasets and develop predictive models.

Skills

Python

R

Matlab

Machine Learning

Communication Skills

Education

Master's Degree

Terminal Degree (active candidate)

Job description

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. 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. 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.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Department of Civil and Environmental Engineering 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.Degrees 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 inall ofits 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 themthrive. We value inclusive excellence as a core strength and an essential element of our public service mission.

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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.

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.

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