•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.
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.
Applications or informal inquiries can be sent to Dr. Amir Haghverdi (firstname.lastname@example.org) 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;
•Names, addresses, emails, and phone numbers for three references.