📁
Postdoctoral Fellow
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CE-Climate & Ecosystems
📅
92281 Requisition #

Lawrence Berkeley National Lab’s (LBNL) Climate & Ecosystems Division has an opening for a postdoctoral scholar, characterizing ecosystem functioning and carbon and nutrient cycling across terrestrial-aquatic interfaces based on a suite of remote sensing data and data analytics (machine learning) tools. 

Department of Energy’s Coastal Observations, Mechanisms, and Predictions Across Systems and Scales (COMPASS) project is a multi-institutional endeavor focused on understanding and predicting the transformations and fluxes of carbon and nutrients as they are exchanged across terrestrial-aquatic interfaces. Field- and lab-based understanding is developed in close integration with modeling needs and advances. Research spans both seawater- and freshwater-influenced coasts. The research emphasis is primarily on terrestrial processes that are influenced by coastal waters. This project includes several national labs, and research institutions in both regions, affording the successful candidate the opportunity for exciting and diverse collaborations. 

In this exciting role, the postdoc will be responsible for coordinating and integrating large temporal and spatial datasets from public remote sensing databases as well as the datasets collected by a diverse set of field teams working on carbon and nutrient cycling as well as hydrology and biogeochemistry. The primary task is focused on big and diverse data analysis, integration and scaling using machine learning techniques, and characterizing the spatiotemporal dynamics of coastal ecosystems and biogeochemical functioning. 

What You Will Do:

  • Work collaboratively with a diverse group of teams across multiple labs and universities under the COMPASS project to integrate their datasets for the spatiotemporal characterization
  • Analyze data and extract patterns and correlations from remote sensing and other environmental datasets, using appropriate data mining methods.
  • Develop and implement ML based algorithms for integrating spatiotemporal datasets including remote sensing and ground-based measurements for ecosystem and biogeochemical characterization 
  • Author peer-reviewed conference or journal papers, and contribute to grant proposals.

What is Required:

  • Ph.D. in Environmental Sciences/Engineering, Data Science, Applied Mathematics, Computer Science, or other related technical disciplines.
  • Experience and knowledge with environmental, ecological, and/or remote sensing datasets and research practices
  • Theoretical understanding and application of data analysis methods such as statistical techniques, signal processing, pattern recognition, or data-informed modeling.
  • Strong interest in advancing diversity, equity, and inclusion 
  • Demonstrated ability to publish research in relevant journals
  • An ability to work independently and in an integrated team environment
  • Strong and effective oral and written communication skills.

Desired Qualifications:

  • Research experience in the coastal region
  • Familiarity with libraries, frameworks, or workflow tools that enable data analytics and machine learning (e.g., NumPy, Pandas, Scikit-learn, Keras, Tensorflow, Jupyter Notebooks).
  • Demonstrated record of publications and conference presentations.
  • Interest in collaborative research, open science and implementing maintainable and reusable software/data products for broader scientific use.

This position will remain open until filled.

Notes:

  • This is a full-time, one-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than four years of paid postdoctoral experience. 
  • Salary for Postdoctoral positions depends on years of experience post-degree.
  • Salary will be predetermined based on postdoctoral step rates.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Diversity, equity, and inclusion are core values at Berkeley Lab. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion.
  • Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.  Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.

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Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.