Post Doctorate Research Associate - Earth Systems Sciences
About The Position
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Earth and Biological Sciences Directorate (EBSD) leads critical research in four areas: Atmospheric, Climate & Earth Sciences, Biological Sciences, Environmental Molecular Sciences, and Global Change. Our vision is to develop a predictive understanding of biological and Earth systems in transition. We aim to understand energy and material flows within the integrated Earth system; to understand, predict, and control the response of biosystems to environmental and/or genomic changes; and to Model the Earth system from the subsurface to the atmosphere. The Global Change Division is home to the Joint Global Change Research Institute (JGCRI). JGCRI is a global leader in the interdisciplinary field of integrated assessment multi-sector analysis. Research at the institute is conducted to advance fundamental understanding of human and Earth systems and provide information related to global change, energy, and environment that is unbiased and decision-relevant but not policy prescriptive. The institute is a partnership between PNNL and the University of Maryland, supporting research, modeling, and integrated analysis at the interface of human, energy, and Earth systems.
Requirements
- Received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
- PhD in engineering, economics, public policy, data science, physical sciences, applied mathematics, computational science, or a related discipline.
- Strong verbal and written communication skills.
- Demonstrated ability to work independently as well as collaboratively within a team environment.
- Proven record of publishing in peer‑reviewed journals.
- Graduate-level statistical training and substantial programming experience.
- Proficiency with R, Python, and/or C++ is highly valuable.
- Experience with, and enthusiasm for, applying evolving AI methodologies to research, modeling, and analysis.
Responsibilities
- Lead the analysis using the Global Change Analysis Model (GCAM).
- Focus on model, data, and scenario development to generate GCAM simulations that quantify the impacts of uncertain technologies, resources, and other relevant factors on the integrated energy, CMM, and economic systems.
- Apply advancing artificial intelligence and machine learning tools in this analysis where appropriate.
- Lead multiple peer-reviewed publications on this work.
- Contribute to developing new GCAM capabilities and tools for assisting the research.
- Develop AI solutions consistent with DOE’s Genesis Mission.
Benefits
- health insurance
- flexible work schedules
- medical insurance
- dental insurance
- vision insurance
- robust telehealth care options
- several mental health benefits
- free wellness coaching
- health savings account
- flexible spending accounts
- basic life insurance
- disability insurance
- employee assistance program
- business travel insurance
- tuition assistance
- relocation
- backup childcare
- legal benefits
- supplemental parental bonding leave
- surrogacy and adoption assistance
- fertility support
- company-funded pension plan
- 401 (k) savings plan with company match
- 120 vacation hours per year
- ten paid holidays per year
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
