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Northern Arizona University

Postdoctoral Scholar - Gurney Lab, Urban Emissions

Northern Arizona University, Flagstaff, Arizona, United States, 86004

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Postdoctoral Scholar - Gurney Lab, Urban Emissions

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Northern Arizona University This job was posted by https://www.azjobconnection.gov : For more

information, please see: https://www.azjobconnection.gov/jobs/6957588

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r**Postdoctoral Scholar - Gurney Lab, Urban Emissions**

r

r**Location:** SICCS

r**Regular/Temporary:** Regular

r**Job ID:** 608052

r**Full/Part Time:** Full-Time

r

r Workplace Culture

NAU aims to be the nation\'s preeminent engine of opportunity, vehicle

of economic mobility, and driver of social impact by delivering

equitable postsecondary value in Arizona and beyond.

[](https://apptrkr.com/get_redirect.php?id=6087301&targetURL=https://nau.edu/president/strategic-plan/){_cke_saved_href="https://nau.edu/president/strategic-plan/"

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Special Information

This position is subject to the availability of funding. The

incumbent is not eligible for Service Professional non-renewal

notice, or Classified Staff layoff or recall status.

This position is an on-site position which requires the incumbent to

complete their work primarily at an NAU site, campus, or facility

with or without accommodation. Opportunities for remote work are

rare.

Job Description

This Postdoctoral position will perform research on quantification and

analysis of greenhouse gas (GHG), local air pollution (AQ), and

anthropogenic heat emissions at the sub-urban spatial scale (buildings,

factories, road segments) in specific urban areas of the US associated

with a large DOE urban effort (Urban Integrated Field Laboratories).

This is an ongoing effort to apply the \"Hestia\" model

([https://hestia.rc.nau.edu](https://apptrkr.com/get_redirect.php?id=6087301&targetURL=https://hestia.rc.nau.edu))

to multiple urban domains in the US both as a contribution to a complete

urban-scale GHG information system development and to build urban-scale

policy analytics for urban climate policy. It is closely related to the

\"Vulcan\" estimation system

([https://vulcan.rc.nau.edu/](https://apptrkr.com/get_redirect.php?id=6087301&targetURL=https://vulcan.rc.nau.edu/)),

which estimates GHG/AQ emissions for the entire US landscape at somewhat

coarser spatial resolution.

Research & Publication - 50%

Incorporation of existing codified GHG AQ, and heat estimation

methods.

Innovation towards new techniques. Analysis of urban GHG/AQ emissions in space and time. Comparison studies to alternative or independent methods. Interface with atmospheric inverse modelers. Review literature and identify appropriate approaches and develop

peer-reviewed publications reflecting research outcomes

Software Development - 25%

Existing codebase improvements, additions, expansion, and operation.

Outreach and Communication - 10%

Liaison with three IFL cities as part of the DOE IFL effort. Present project results to internal and external parties at regular

meetings, seminars, and conferences.

Writing of technical publication and reports including peer-reviewed

publications.

Co-PI Responsibilities - 10%

Postdoc is anticipated to contribute to proposals, ideally as a

co-PI.

Other - 5%

Supervision of graduate student research. Other duties as assigned.

Minimum Qualifications

Ph.D. in a field related to position (e.g. Informatics, Geography,

Civil Engineering, Urban Planning, Data Science) from an accredited

college or university.

Preferred Qualifications

Numerical analysis experience. Minimum of 3 years experience in use of GIS. Minimum 2 years experience in application of geospatial statistical

analysis.

Minimum of 2 years R/python programming experience. Experience working in linux environment with a high-performance

computer.

Experience working in a team environment with shared workflow (code,

data, analysis).

Experience in he application of machine learning. Experience in quantification of GHG emissions in urban context.

Knowledge, Skills, & Abilities

Use of GIS in context of urban data such as building layers, road

layers, and other infrastructural or socio-demographic data.

Development, authorship, and understanding of medium-size R scripts. Maintenance of organized computational workflow and data environment

with documentation.

Strong motivation towards urban GHG/AQ quantification and science,

policy application.

Strong verbal and written communication skills. Ability to work in team environment with shared workflow.

Background Information

Northern Arizona University requires satisfactory results for the

following: a criminal background investigation, an employment history

verification and a degree verification (in some cases) prior to

employment. You may also be required to complete a fingerprint

background check. Additionally, as an employer in the state of Arizona,

NAU is required to participate in the federal E-Verify program that

assists employers with verifying new employees\' right to work in the

United States. Finally, each yea Seniority level

Seniority level Internship Employment type

Employment type Full-time Job function

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