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USDA ARS Postdoctoral Fellowship Program in Big Data Science and AI Research

About the program

The U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS) SCINet and AI Center of Excellence offer exciting collaborative research opportunities to motivated participants interested in solving agricultural-natural resource related problems. One of the goals of the ORISE Fellowship program is to develop and apply new and emerging technologies including artificial intelligence (AI) and machine learning. Many of these questions rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high performance computers (HPC) or a cloud computing environment. Fellows will have the opportunity to collaborate on problems of high priority to the USDA ARS, while being trained across a range of skills including AI, machine learning, deep learning, data science, and/or statistical software as needed for the success of the position.

Postdoc and Masters Fellowships

Interested applicants are encouraged to visit the ORISE link for more information about a position and how to apply. To see the most up to date list of all SCINet and AI-COE opportunities, visit and enter keyword “SCINet”
Opportunity Location Keywords
Computational Tools & Pipeline Development for Metagenomic Data Analysis Fellowship, USDA-ARS-2022-0027 Ames, IA Metagenomics, Bioinformatics
High Performance Computing and Prediction of Geospatial Dynamics Fellowship, USDA-ARS-2022-0029 TBD Geospatial, Times Series Data
USDA-ARS Remote Sensing of Agro-ecosystems & High-performance Computing Fellowship, USDA-ARS-2022-0031 Beltsville, MD Geosptial, Remote Sensing, ML
USDA-ARS High Performance Computing Fellowship, USDA-ARS-2022-0071 TBD Agro-ecosystem dynamics, Natural Language Processing, Remote Sensing, Geospatial
USDA-ARS SCINet AI Machine Learning in Maize Genomics Postdoctoral Fellowship, USDA-ARS-2022-0158 Dubois, ID Image Analysis, AI, ML
USDA-ARS SCINet Postdoctoral Fellowship in Machine Learning for Influenza A Virus Pandemic Prevention, USDA-ARS-2022-0162 Ames, IA Genomics, ML
USDA-ARS SCINet Fellowship for Developing AI and ML Techniques to Advance Understanding of How Dietary Patterns Influence Human Health, USDA-ARS-2022-0369 Beltsville, MD Human Health, Dietary Patterns, AI, ML
USDA-ARS SCINet Postdoctoral Fellowship in AI Methods for Predicting Protein Function and Disease Susceptibility in Crops, USDA-ARS-2022-0436 Stuttgart, AR Genomics, AI
USDA-ARS SCINet/AI-COE postdoctoral fellowship in AI/Machining Learning for Animal Behavior Research Boise, ID Geospatial, ML, AI
USDA-ARS SCINet/AI-COE postdoctoral fellowship in Using AI to address large, complex datasets in microbiome-based integrated pest management Colombia, MO Microbiome Science, Genetics, AI, ML
USDA-ARS SCINet/AI-COE postdoctoral fellowship in Machine Learning to Distinguish Pest from Non-Pest Weevils College Station, TX Genomics, Pest Management, Genomics
USDA-ARS SCINet/AI-COE postdoctoral fellowship in Food Security Agency in Alaska Tifton, GA Geospatial, Remote Sensing, ML
USDA-ARS SCINet/AI-COE postdoctoral fellowship in bridging local measurements to management scales using machine learning Beltsville, MD Soil Moisture, Hydrology, AI, Geospatial
USDA-ARS SCINet/AI-COE postdoctoral fellowship in using AI to develop a cross kingdom gene editing tool kit Colombia, MO Genomics, AI, ML
USDA-ARS SCINet/AI-COE postdoctoral fellowship in taxon-specific model training to improve accuracy of variant calling in non-model systems Hilo, HI Genomics, AI, ML
About the USDA ARS: The ARS mission involves problem-solving research in the widely diverse food and agricultural areas encompassing plant production and protection; animal production and protection; natural resources and sustainable agricultural systems; and nutrition; food safety and quality. The programs are conducted in 46 of the 50 States, Puerto Rico, and the U.S. Virgin Islands. Programs are also carried out in cooperation with several foreign countries. For ARS to maintain its standing as a premier scientific organization, major investments in computing, networking, and storage infrastructure are required as well as trained scientific personnel. Training in data and information management are integral to the integrity, security, and accessibility of research findings, results, and outcomes within the ARS research enterprise. The USDA ARS Chief Science Information Officer (ARS-CSIO at usda dot gov) can be contacted for additional information.

Other Opportunities:

Mississippi State University’s Geosystems Research Institute Summer Graduate Research Experience: As part of the MSU/USDA Advancing Agricultural Research through High-Performance Computing project, MSU will be hosting a multi-disciplinary program designed for graduate students with interest in agriculture productivity, environmental ecology, geospatial analysis, AI/ML, epidemiology, and bioinformatics. Selected students will spend 9-weeks this summer working at Mississippi State University side-by-side with leading faculty conducting research in a high-performance computing environment. Review of applicants will begin March 15, 2022, and those accepted will be notified on or before April 15, 2022. Learn more and apply today!