Postdoctoral Research Associate - Coastal Landscape Geospatial Modeling

Oak Ridge National Laboratory
Oak Ridge, TN, United States
16 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language)

Job description

  • Synthesize, harmonize, and analyze large environmental monitoring and remote sensing datasets from coastal Louisiana
  • Train and apply multimodal and generative AI methods to predict land loss and vegetation change at high spatial resolution
  • Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives.
  • Present results within the research group and at national and international conferences and publish manuscripts in peer-reviewed journals.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service., Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
  • Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

  • Instructions to upload documents to your candidate profile:
  • Login to your account via jobs.ornl.gov
  • View Profile
  • Under the My Documents section, select Add a Document

  • For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Requirements

  • A PhD in Earth science, Ecology, Geography, Environmental Sciences, Geosciences, or a related field completed within the last 5 years or expected to be completed soon.
  • Expertise in AI/ML methods in an environmental or Earth science context
  • Experience programming in Python or related languages
  • A strong record of independent and productive research, as indicated by conference presentations and/or publications in peer-reviewed journals.
  • Ability to work independently and collaboratively as part of a large multidisciplinary team.
  • Excellent interpersonal, oral, and written communication skills., * Experience with AI/ML approaches for spatiotemporal or Earth system data, including generative AI methods.
  • Expertise in coastal landscape ecology, hydrology, and/or geomorphology.
  • Experience analyzing large, heterogeneous environmental, geospatial, remote-sensing, or time-series datasets.

Benefits & conditions

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

About the company

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

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