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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
Postdoctoral Research Opportunity in Bioinformatics Analyses, USDA-ARS-2022-0025 Ames, IA Bioinformatics
Big Data Science and Training Program Coordination Fellowship, USDA-ARS-2022-0026 TBD Training Development, Big Data, Workforce Management
Computational Tools & Pipeline Development for Metagenomic Data Analysis Fellowship, USDA-ARS-2022-0027 Ames, IA Metagenomics, Bioinformatics
High Performance Computing and AI Technologies in Agriculture Fellowship, USDA-ARS-2022-0028 TBD Agro-ecosystems, Spatial Modeling, Big Data
High Performance Computing and Prediction of Geospatial Dynamics Fellowship, USDA-ARS-2022-0029 TBD Geospatial, Times Series Data
High Performance Computing and Big Data Science Fellowship, USDA-ARS-2022-0030 TBD Big Data
Remote Sensing of Agro-ecosystems & High-performance Computing Fellowship, USDA-ARS-2022-0031 Beltsville, MD Spatial Data, Time Series, Computational Programming, Remote Sensing
Bioinformatic Analyses and Training Fellowship, USDA-ARS-2022-0032 Beltsville, MD Bioinformatics
Computer Vision & Artificial Intelligence Fellowship, USDA-ARS-2022-0052 Beltsville, MD Crop Breeding, Remote Sensing
USDA-ARS Postdoctoral Fellowship in Food Safety, USDA-ARS-2022-0069 TBD Computational Biology, Food Safety, Salmonella
USDA-ARS High Performance Computing Fellowship, USDA-ARS-2022-0071 TBD Agro-ecosystem dynamics, Natural Language Processing, Remote Sensing, Geospatial
USDA-ARS Geospatial Analyses of Agroecosystem Dynamics Fellowship, USDA-ARS-2022-0072 TBD Computational Biology, Geospatial, Drone
USDA-ARS Postdoctoral Fellowship in Multi-Scale Image Analysis for Patterns in Phenology, USDA-ARS-2022-0077 TBD Time-series Modeling, Spatial Modeling, Remotely-sensed Data, Climate-Change Models, Phenology
USDA-ARS Postdoctoral Fellowship in Developing New Methods for Petabyte-scale Sequence Search, USDA-ARS-2022-0131 TBD Genomics, Bioinformatics
USDA-ARS SCINet Postdoctoral Fellowship in AI-driven Phenotype Extraction from UAS Imagery, USDA-ARS-2022-0136 Columbia, MO UAV phenotyping, Image Processing, AI
USDA-ARS SCINet Postdoctoral Fellowship in Modeling the Spread and Adaptation of Stored-Product Insect Pests, USDA-ARS-2022-0137 Manhattan, KS Insect Pest Management, Predictive Modeling
USDA-ARS SCINet Postdoctoral Fellowship in Predicting Structure and Function of Foodborne and Plant Pathogen Proteins, USDA-ARS-2022-0138 Albany, CA Protein Folding, Proteomics, Foodborne and Plant Pathogens
USDA-ARS SCINet Postdoctoral Fellowship in Using AI to Analyze Climate Effects on Crop Performance, USDA-ARS-2022-0139 Pullman, WA Genomics, Crop Performance, Climate, AI
USDA-ARS SCINet Postdoctoral Fellowship in Applying AI to Agricultural Ecosystem Service Planning, USDA-ARS-2022-0145 University Park, PA Ecosystem Services Modeling, AI
USDA-ARS SCINet Postdoctoral Fellowship in Determining the Pervasiveness of Hybridization and Introgression in Agriculture and the Driving Mechanisms, USDA-ARS-2022-0147 Washington, DC Genomics, Arthropod Pest Hybridization
USDA-ARS SCINet Computer Vision and A.I. for Insect Identification Postdoctoral Fellowship, USDA-ARS-2022-0152 Manhattan, KS Image Analysis, AI
USDA-ARS SCINet Postdoctoral Fellowship in Deep Learning Workflows and Image Libraries, USDA-ARS-2022-0156 Prosser, WA Multi-modal Image Analysis, AI
USDA-ARS SCINet Postdoctoral Fellowship in Machine Learning for Camera Trap Data, USDA-ARS-2022-0157 Dubois, ID Image Analysis, AI, ML
USDA-ARS SCINet AI Machine Learning in Maize Genomics Postdoctoral Fellowship, USDA-ARS-2022-0158 Ames, IA Genomics, Bioinformatics, AI, ML
USDA-ARS SCINet Postdoctoral Fellowship in Machine Learning for Influenza A Virus Pandemic Prevention, USDA-ARS-2022-0162 Ames, IA Genomics, Bioinformatics, ML
USDA-ARS SCINet Postdoctoral Fellowship in Optimization of AI-based Microscope Image Analysis, USDA-ARS-2022-0163 Geneva, NY Image Analysis, AI, ML
USDA-ARS SCINet Postdoctoral Fellowship in Machine Learning, Protein Structure, and Functional Annotations, USDA-ARS-2022-0176 Albany, CA Protein Structure, AI, ML
USDA-ARS SCINet Postdoctoral Fellowship in Evolutionary Genomics of Fungal Plant Pathogens, USDA-ARS-2022-0186 Salinas, CA Phytopathology, Genomics
USDA-ARS SCINet Postdoctoral Fellowship in Using AI Technology to Develop a Drought Prediction Tool, USDA-ARS-2022-0249 El Reno, OK Meteorological Drought Prediction, AI
USDA-ARS SCINet Machine Learning and Bioinformatics Analyses Applied to Livestock Genomics Research Postdoctoral Fellowship, USDA-ARS-2022-0263 Beltsville, MD Animal Genomics
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 Machine Learning for Camera Trap Data, USDA-ARS-2022-0370 Dubois, ID Image Analysis, 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!