Postdoctoral Scholar, Environmental Health Science and Geospatial Science, Gong Lab

The Pennsylvania State University; University Park (PA, TX); On-site; USD 50,000 - 70,000; Full time

Job summary

The Gong Lab at a leading university is seeking a motivated postdoctoral scholar with expertise in Environmental Health Sciences and Geospatial Data Science. The role involves modeling environmental exposure, analyzing health impacts, and utilizing big data analytics. Candidates should hold a Ph.D. in relevant fields and possess strong quantitative and programming skills. The position offers opportunities for research publication and collaboration in an interdisciplinary team.

Benefits

Competitive Benefits Package

Qualifications

• Record of high-quality publications in the relevant field.
• Preference for candidates with experience in high-performance computing.

Responsibilities

• Design models to assess environmental pollution exposure.
• Analyze health effects of environmental exposure.
• Publish research findings in peer-reviewed journals.

Skills

Quantitative Skills

Programming Experience

Communication Skills

Education

Ph.D. in Geography

Ph.D. in GIScience

Ph.D. in Environmental Science

Ph.D. in Statistics

Ph.D. in Computer Science

Ph.D. in Public Health

Ph.D. in Epidemiology

Tools

GIS-based Modeling

Spatial Data Analysis

Machine Learning

AI Research

High-performance Computing

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.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Gong Lab in the Department of Biobehavioral Health at Pennsylvania State University is seeking a motivated postdoctoral scholar with research interest in Environmental Health Sciences and Geospatial Data Science to join the team. The successful candidate will work with Dr. Xi Gong on research projects broadly related to environmental exposure modeling and assessment, environment-health relationships analysis, and spatiotemporal big data analytics and visualization.

Responsibilities:

• Design and implement models to accurately assess and predict environmental pollution exposure across spatiotemporal scales.
• Analyze the effects of environmental exposure and social determinants on health and wellness across the human lifespan using spatial/non-spatial statistics.
• Utilize multi-source spatiotemporal big data and employ machine learning/AI, network analysis, and visualization tools to uncover hidden patterns in human dynamics.
• Collect environmental data and human health data, and manage related IRB applications.
• Publish research findings in peer-reviewed journals, present research findings in conferences/meetings, and generate regular project update reports.
• Contribute to proposal development and mentor junior researchers in the group.

Qualifications:

• A Ph.D. in Geography, GIScience, Environmental Science, Statistics, Computer Science, Public Health, Epidemiology, or a related field.
• A record of high-quality publications in the relevant field.
• Excellent quantitative skills and programming experience, with expertise in GIS-based modeling and spatial data analysis.
• Excellent written and oral communication skills in English.
• Strong motivation, work ethic, and the ability to collaborate in an interdisciplinary team environment.
• Preference will be given to candidates with experience in high-performance computing, big data analytics, and AI research.

Application:

To apply, please submit the following materials:

• Cover letter describing research experience, qualifications, and plans.
• Curriculum vitae.
• 1-2 sample publications.
• Contact information for three references.

Review of applications will begin immediately and continue until the position is filled. Questions about the position can be directed to Dr. Xi Gong at [e-mail].

BACKGROUND CHECKS/CLEARANCES

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

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

For more detailed information, please visit ourBenefits Page.

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.

EEO IS THE LAW

Penn State is an equal opportunity 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.

The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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