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UC Cooperative Extension Specialist - Computational Data Science for Agriculture and Natural Resourc


Summary Sheet: Primary Industry

    
Advertiser NameUniversity of California Agriculture and Natural ResourcesAdvertiser Type:Company
Classification:Primary IndustrySubclassification:
Country:United StatesLocation:United States
Language:English - United Kingdom (en-GB) Contact Name:
Employment Type:PermanentWorkhours:Full Time



Position: UC Cooperative Extension Specialist - Computational Data Science for Agriculture and Natural Resourc


Description: UC Cooperative Extension Specialist - Computational Data Science for Agriculture and Natural Resource Technologies Located at the University of California, San Diego (25-17)


University of California Agriculture and Natural Resources




Application Window



Open date: May 7, 2025



Next review date: Sunday, Jul 6, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.



Final date: Tuesday, Sep 30, 2025 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


Position description



Position Overview
The University of California, Agriculture and Natural Resources (UC ANR), in collaboration with the University of California, San Diego, invites applications for a UC Cooperative Extension Specialist at the Assistant rank.


Housed at the San Diego Supercomputer Center (SDSC) at UC San Diego's School of Computing, Information and Data Sciences, and with connection to UC ANR's statewide network through the UC ANR Office of Innovation, this is a crucial new role that will integrate advanced computational and data science techniques with food, agriculture, and natural resources innovations. The Computational Data Science Specialist will spearhead the development of AI-driven technology solutions, focusing on sustainable farming practices, climate resilience, food security, and fire resilience. By harnessing SDSC's expertise and resources in data science, AI, and advanced computing, the specialist will explore new horizons and the future of food systems solutions through digital agriculture, enhancing crop yield predictions, pest management, and resource optimization. The specialist will sit within the Societal Computing and Innovation Lab, best known for its work leveraging cyberinfrastructure to support wildland fire management. The position will collaborate closely with colleagues at Halıcıoğlu Data Science Institute and across UC San Diego, including at the ProWESS Center.
UCCE Specialists develop and conduct research and educational programs aimed at appropriate clientele groups in communities outside of UC campuses. UCCE Specialists have programs primarily focused on mission-oriented research or creative work that support the university's efforts to extend knowledge, including outreach and community engagement. Mission-oriented research describes the complete research continuum that extends from basic research to applications of research results. This research is generally applied in nature and has, as a goal, the solution of a problem facing society that is related to the mission of the UCCE Specialist's discipline and the UCCE mission. UCCE Specialists publish the results of applied research in a combination of research publication types, whether peer-reviewed or not, based on the relevant audiences served by the UCCE Specialist's program.


The extension program disseminates knowledge and information to clientele groups for their use in improving their abilities to understand and address problems and opportunities facing them. The extension educational program serves the University's public service mission. Educational program activities include but are not limited to collaborations with UCCE Advisors, other UCCE Specialists, campus faculty, program teams, workgroups, or clientele groups; developing and presenting educational materials; communicating to clientele through broadcast, print, or electronic media; participating in meetings with clientele; developing and presenting in-service training courses; organizing or participating in workshops, field tours, symposia or conferences. Much of this work is conducted in partnership with UC ANR's locally based UCCE Advisors. The UCCE Specialist - Advisor and faculty partnership creates an applied research network that benefits both the University and the public at large. This position does not include formal classroom instruction at the University.


Location Headquarters. The University of California, San Diego, at the San Diego Supercomputer Center (SDSC) in San Diego, CA.


Position Details


Major duties and responsibilities include:
  • Collaboration with UC San Diego faculty and UC ANR's network of advisors, specialists, statewide programs and institutes, as well as external stakeholders, to conduct applied research and disseminate research results.
  • Research and development of impactful computational data science solutions focused on food and natural systems. Potential foci include:
    o AI and machine learning
    o Data and computing systems for modeling and scientific simulation
    o Scalable spatial models and decision support tools
    o Precision agriculture
    o Image processing and remote sensing
    o Digital twins for complex environmental systems
    o Design and testing robotic systems
    o Biotechnology applications of computational data
    o Wildland fire resilience
  • Spearhead efforts to translate research findings into real-world solutions and applications, creating user-friendly tools and guidelines to facilitate the adoption of new technologies in agriculture and natural resources.
  • Develop data-driven tools with strong visualization, interactivity, integration with decision-making practices, user testing, and collaborative learning.
  • Foster a community of practice between researchers, industry professionals, and agriculture and natural resource practitioners to trial and refine new technologies in real-world settings, promoting evidence-based adoption.
  • Extend research results via educational programs such as forums, conferences, workshops, and direct consultations with farmers, agribusiness, agricultural educators, and land managers, focusing on the latest advancements in computational agriculture, precision farming, sustainable practices, and wildland fire management.
  • Seek research and extension funding from federal and state agencies as well as industry sources.
  • Publish findings, best practices, and case studies in accessible formats, including peer-reviewed journals, ANR outlets, industry magazines, and relevant online platforms to widen the reach and impact of research outcomes.


    Counties of Responsibility: This state-wide position will serve the agriculture and natural resource sectors across California. This is an exciting opportunity to impact diverse communities throughout the state.


    Reporting Relationship: The position will be located at the UC San Diego campus in San Diego, CA, with an appointment in the School of Computing, Information and Data Sciences (SCIDS). UC ANR will oversee the merit and promotion process, consistent with other UC ANR CE Specialists, in consultation with the appropriate UC San Diego Department Chair. The CE specialist will also hold an additional 0% (uncompensated) appointment as a Research Scientist or Adjunct Professor at UC San Diego. It is not a remote position; the candidate must be available to work onsite at the UC San Diego campus.
    Qualifications and Skills Required
    Education: A minimum of a Ph.D. (or international equivalent) in computational science, AI, software engineering, or a closely related field is required at the time of appointment. Applicants who have not yet earned a Ph.D. must be within 12 months of completing their degree to be considered for the position.


    Key Qualifications
  • Demonstrated experience in applying computational and data science methodologies within the food, agricultural, or natural resource fields.
  • A demonstrated record of research in computational data science
  • Excellent written, oral, and interpersonal communication skills
  • A strong publication record
  • A track record of effectively engaging with a diverse range of stakeholders
  • Experience in leading collaborative research teams
  • Ability and means to travel on a flexible schedule as needed, proof of liability, and property damage insurance on the vehicle used are required. Must possess a valid California Driver's License to drive a university vehicle.
  • Applicants need to meet appointment criteria for the respective University of California academic title series and evidence of being able to meet the required academic advancement criteria as per UC Academic Personnel Manuals. Applications need to document relevant research, extension, teaching experience, and appropriate scholarly achievements.


    Desired Experience
  • Studies in food, agricultural, or environmental sciences
  • Experience with integrated research and educational projects and extension to diverse audiences
  • A track record of applying for and securing grant funding


    Skills Required


    To be successful, UCCE Specialist positions require skills in the following:


    Technical competence
  • Conduct and report needs assessments to identify priority issues or problems relevant to the clientele groups being served.
  • Develop and implement effective UC ANR Cooperative Extension applied research and educational programs to address the identified priority needs of the clientele that are consistent with ANR's Strategic Vision and ANR Initiatives.
  • Conduct applied research designed to monitor changes and solve statewide and locally relevant problems related to the intersections between computational data science and the agriculture and natural resource sectors in California.
    Communication
  • Disseminate appropriate, science-based information to inform clientele, using extension methods that are responsive to clientele needs and appropriate for the audience and situation click apply for full job details


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