•Ph.D. (received within the past five years from an accredited college or university) in Irrigation Engineering, Biosystems Engineering, Civil & Environmental Engineering, Agronomy or other related disciplines;

• Experience in developing decision support tools, (i.e., smartphone apps, computer software packages, web-based tools, graphical user interfaces);

•Strong programming skills with scripting languages such as Python, Matlab, Java;

•Experience with statistical analyses of geospatial and remote sensing data using ARGIS, ENVI or other software packages;

•Experience with machine learning algorithms and statistical modeling techniques such as regression, k-means, neural networks;

•Demonstrated record of high-quality publications;

•Experience working in a collaborative research environment.

(II) Expectations:

The successful candidate is expected to:

•Publish research findings in international peer-reviewed journals, and present research findings in scientific conferences and local meetings;

•Generate regular update reports, and assist in grant proposal writing;

•Assist with field data collection, lab experiments, and extension/outreach activities;

•Work independently and in collaboration with faculty/staff and students in the Environmental Sciences Department, farm advisors, stakeholders, and producers.

(III) Application:

Applications or informal inquiries can be sent to Dr. Amir Haghverdi (amirh@ucr.edu) with USDA POSTDOC as the subject line. Applications packages should contain the following contents:

•One-page cover letter describing the applicant’s research experiences and interests;

•Curriculum vitae;

•Names, addresses, emails, and phone numbers for three references.