Postdoctoral Scholar in Watershed science, climate science, data science, artificial intelligence and/or hydro-economics (Multiple Hires)
Report Ad
Whatsapp
Posted : Wednesday, July 10, 2024 01:24 AM
We are looking for multiple postdoctoral scholars 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 effort on California, but also collaborative studies with researchers at Washington State University, Oregon State University, Utah State University, and New Mexico State University.
The positions are part of multiple funded research projects, including a recently commissioned California Drought Impacts study, the California’s 5th Climate Assessment, the UC California Climate Action Seed Grants, 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, UCLA, 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.
The successful candidates will develop decision-making support tools to inform 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 the 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.
Some supervision may be 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.
QUALIFICATIONS 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 a proven publication record, preferably with 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 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.
APPLICATION REQUIREMENTS Document requirements Curriculum Vitae - Your most recently updated C.
V.
Cover Letter Reference requirements 3 required (contact information only) Help contact: thankston2@ucmerced.
edu ABOUT UC MERCED The University of California, Merced, is the newest of the University of California system’s 10 campuses.
With over 9,000 undergraduate and graduate students .
The University of California, Merced is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time.
Federal, state, or local government directives may impose additional requirements.
This includes the University of California Policy on Vaccination Programs: https://policy.
ucop.
edu/doc/5000695/VaccinationProgramsPolicy.
JOB LOCATION Merced, CA
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 effort on California, but also collaborative studies with researchers at Washington State University, Oregon State University, Utah State University, and New Mexico State University.
The positions are part of multiple funded research projects, including a recently commissioned California Drought Impacts study, the California’s 5th Climate Assessment, the UC California Climate Action Seed Grants, 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, UCLA, 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.
The successful candidates will develop decision-making support tools to inform 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 the 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.
Some supervision may be 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.
QUALIFICATIONS 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 a proven publication record, preferably with 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 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.
APPLICATION REQUIREMENTS Document requirements Curriculum Vitae - Your most recently updated C.
V.
Cover Letter Reference requirements 3 required (contact information only) Help contact: thankston2@ucmerced.
edu ABOUT UC MERCED The University of California, Merced, is the newest of the University of California system’s 10 campuses.
With over 9,000 undergraduate and graduate students .
The University of California, Merced is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time.
Federal, state, or local government directives may impose additional requirements.
This includes the University of California Policy on Vaccination Programs: https://policy.
ucop.
edu/doc/5000695/VaccinationProgramsPolicy.
JOB LOCATION Merced, CA
• Phone : NA
• Location : 5200 North Lake Road, Merced, CA
• Post ID: 9025443131
