Full Time, Postdoctoral Scholar

Position: Full Time, Postdoctoral Scholar

Job Purpose: To conduct research in the areas of Agricultural Mechanization and Precision Agriculture

Duration: The position is initially for one year at 100%FTE with potential of an extension based on performance and availability of financial support.

Where: Digital Agriculture Lab, Biological and Agricultural Engineering (BAE) Department

Application Deadline: Nov 30, 2019

Requirement: PhD in Agricultural/Biosystems Engineering or a closely related discipline

Description: The Digital Agriculture Lab at the University of California (UC), Davis seeks applications for a Postdoctoral Scholar in the areas of remote sensing, artificial intelligence, and precision agriculture to develop AI-driven techniques for various applications in biological and agricultural domain, such as yield estimation, disease detection, phenotyping, and nutrient deficiency detection. The successful candidate will work on interdisciplinary projects in the BAE Department under the supervision of Dr. Alireza Pourreza. The candidate will report to Dr. Pourreza and will collaborate closely with other scholars, graduate, and undergraduate students in the Digital Agriculture Lab and UC Agricultural and Natural Resources.

The responsibilities of the candidate for this position include:

·        Developing automated AI-driven pipelines for analysis of image-based datasets

·        Writing manuscripts and present research findings in scientific meetings/conferences and extension events

·        Collaborating in writing grant proposals

·        Mentoring undergraduate/graduate students

·        Programming skills with proficiency in Python, Matlab and/or R

·        Experience with machine learning/deep learning algorithms

·        Research experience with image processing and analysis of spectral data

·        Experience with analysis of geo-spatial datasets

·        Interest in conducting applied research and extension projects

·        Excellent communication and problem-solving skills

·        Experience with machine learning frameworks such as scikit-learn, TensorFlow/Keras

·        Experience with remote sensing software (QGIS/ArcGIS and ENVI)

·        Experience with operating unmanned aerial systems

·        Ability to develop web-based applications

·        GitHub, Git

The applicant needs to submit their 1) detailed curriculum vitae, 2) three samples of most significant publications, and 3) names and contact information of two references to apourreza@ucdavis.edu. Incomplete applications will not be evaluated.