UC Merced has multiple full-time postdoctoral scholar positions

We are looking to fill multiple full-time postdoctoral scholar positions in the fields of watershed science, climate science, data science, artificial intelligence and/or hydro-economics. The broad focus of the positions will be in the analysis of water resources management, agriculture, technology, and climate change in the western US with a specific research effort on California, but also collaborative studies with researchers at Washington State University, Oregon State University, Utah State University, and New Mexico State University. These positions are part of multiple funded research projects, including recently commissioned California Drought Impacts study, the USDA NIFA SAS Securing a Climate Resilient Water Future for Agriculture and Ecosystems through Innovation in Measurement, Management, and Markets (SecureWaterFuture.net), and the USDA NIFA AI Institute for Transforming Workforce and Decision Support (AgAID.org). As such, the successful candidates will work with a diverse team of leading scientists at UC Merced, and their collaborators in California (UC Berkeley, UC Davis, UC Agriculture & Natural Resources, Public Policy Institute of California, and Environmental Defense Fund), Utah State University, New Mexico State University, New Mexico Water Resources Research Institute, and Washington State University, as well as the regional USDA Southwest Climate Hub. Together, the team of postdoctoral scholars from this recruitment will advance the use of artificial intelligence to support actionable decisions to inform and support a climate resilient water future for agriculture and ecosystems through prediction, optimization and data-enabled decision support. The postdoctoral scholars will be expected to lead development of analytical methods and decision support platform development in collaboration with an interdisciplinary team of researchers. The postdoctoral scholars are expected to participate in collaborative science with project partners, to play an important role in mentoring undergraduate and graduate students, and to undertake professional development activities in consultation with the PIs to further their own training and career advancement. Limited supervisory activities are required, as the scholars will coordinate student assistants and junior staff as needed. Limited travel will be required to visit collaborating organizations and to team meetings. Best practices in data and code management, as well as in team science, are expected. Familiarity and expertise in open-source approaches, application programming interfaces, code repositories, and reproducible documentation is also expected. 

The post-doctoral scholar positions are located at the University of California, Merced, the 10th and newest campus of the University of California, which is located between Monterey Bay and Yosemite National Park. Since its opening in 2005, UC Merced has become the fastest to reach Carnegie R2 designation, has developed one of the top 100 graduate environmental engineering programs in the country, and is now recognized by USNWR as the #38 public undergraduate institution of higher education. It is the only campus in the country to have 100% of its buildings LEED certified, and as a consequence became the first public research university in the US to achieve carbon neutrality. As a designated Minority Serving Institution, UC Merced is highly committed to a diverse and inclusive student body and has received national recognition for upward mobility. The supporting centers for these positions are CITRIS and the Banatao Institute and the Sierra Nevada Research Institute.

Basic qualifications

Successful candidates must possess a Ph.D. (at the time of appointment) in engineering, hydrology, climatology, computer science or a related field with a focus on geospatial data analytics, remote sensing, machine learning/artificial intelligence (AI), agent-based modeling, systems analysis, and/or hydro-economic modeling. Successful candidates will have demonstrated strong collaborative skills and will have at least 1-2 first-authored, refereed research papers in top journals. Technical skills include advanced proficiency in programming for applied statistics, modeling, and data science (e.g., Python, Matlab, GAMS, R), as well as familiarity with Git-type version control, APIs, and UI/UX design. Ability to create publication ready data visualizations is necessary, as is the ability to write proficiently for scholarly outlets. Ideal candidates will have demonstrated experience leading the development of analytical approaches for machine learning or optimization in modeling, and experience working with large and diverse datasets, especially water and climate related, spatial and time series data stacks. Experience with remote sensing in agricultural production and/or water use analysis is a significant advantage, as is technical experience with Google Earth Engine. 

Additional qualifications

Understanding of water policy and management and/or familiarity with concepts pertaining to risk, resilience, and/or environmental justice is a plus.

Apply link: https://aprecruit.ucmerced.edu/JPF01214

Help contact: soe-deptspecialist@ucmerced.edu

Open until filled. Reviews begin Dec 1.