Research Prime

Senior Coastal Computational Scientist

Organisation Name: Pacific Northwest National Laboratory
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Job Description PNNL has an extensive research portfolio in environmental sciences and biogeochemistry, hydrology, atmospheric sciences and Earth system modeling, including human systems and energy infrastructure. Recently we have been extending this portfolio with a new drive in coastal science. The Senior Coastal Computational Scientist will bring expertise and capabilities that complement and extend this research portfolio, with a focus on predictive understanding and data-driven discovery. Responsibilities include: Lead the development of new approaches to understanding coastal ecosystems, within the context of the broader Earth system, integrating observational and experimental data with state of the art computational tools, including machine learning. Engage with an interdisciplinary, multi-institutional team to deliver innovative approaches to experimental design and integrating field observations and lab results while also working to advance predictive models. Advance new scientific frontiers through a major multi-scale coastal modeling project that focuses on coupling land-ocean-atmosphere processes and interactions at the coastal interface, integrating advances in remote sensing, machine learning and biological science with environmental science in an Earth systems context. This position features access to extensive research capabilities and a world-class team of scientists, equipment and facilities, including those housed at the Environmental Molecular Sciences Laboratory (EMSL) and Atmospheric Radiation Measurement (ARM) Research Facility, both DOE science user facilities, as well as facilities and capabilities housed at PNNL’s Marine Science Laboratory, in Sequim, Washington. The hiring level will be determined based on the education, experience and skill set of the successful candidate based on the following: Level 4, Senior Scientist : Selects and develops technical approaches to complex challenges. Principal investigator or co-PI on multiple or significantly complex, and/or high risk projects or tasks and/or involving multiple tasks, capabilities, and organizations. Develops, and realizes new significant project opportunities, leading the development of technical sections of large proposals. Takes lead in scope, schedule, and budget for projects or large tasks Demonstrates ability to acquire funding for self and task level teams. Serves as a role model for quality, safety, and security. May contribute to directorate level operational improvement activities. Level 5, Senior Scientist : Conceives, plans, and executes R&D with considerable influence on scientific and technological developments. Displays considerable leadership in defining scientific and technical objectives across programs. Leads in the capture, planning, and technical execution of complex interdisciplinary projects and programs across organizational boundaries with lab level impact, and outside of the laboratory. Captures and enables sufficient funding to support self and project teams. Serves as a role model for quality, safety, and security. Contributes to directorate level or lab level operational improvement activities. Minimum Qualifications BS/BA with 7 years of experience, or MS/MA with 5 years or experience, or PhD with 3 years of experience. Preferred Qualifications BS/BA with 9 years of experience, or MS/MA with 7 years of experience, or PhD with 5 years of experience. Degree in environmental (including biogeochemistry), hydrologic, marine or atmospheric sciences, or related field. 10 or more years experience with development, design and/or implementation of multi-scale multi-process models, interacting with multi-scale multi-type data to understand coastal hydrobiogeochemical processes. Strong publication record. Demonstrated experience successfully leading and participating as an effective team member and leader in interdisciplinary science teams. National and/or international recognition and expertise in coastal and/or estuarine ecosystem science within the context of multi-scale Earth system science (demonstrated via publications, awards, invited lectures, or other honors). Ability to bring a broad perspective and set of tools to the research enterprise, including background in remote sensing, machine learning and physics-based large-scale modeling. Experience in integrated coastal system modeling to understand system responses and feedbacks to coastal disturbances, including but not limited to nutrient enrichment, sea level rise, and extreme events. Demonstrated experience in developing, leading and delivering on major research projects, applying integrated modeling and measurement approaches to key scientific challenges. Demonstrated track record of fundraising. Experience with DOE/BER related science programs is a plus. Equal Employment Opportunity Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment. Directorate: Earth & Biological Sciences Job Category: Scientists/Scientific Support Group: Atmospher Sci & Global Chg Opening Date: 2020-11-06 Closing Date: 2020-12-20

Posting Date: Jul 26, 2021
Closing Date:
Organisation Website/Careers Page: https://pnnl.jobs/sequim-wa/senior-coastal-computational-scientist/ABA5DFFBB77945228C6A829300C0E74F/job/


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