USDA ARS Postdoctoral Fellowship Program in Big Data Science and AI Research
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 collaboration 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 https://www.zintellect.com/Catalog and enter keyword “SCINet”
Opportunity |
Location |
Keywords |
Research Opportunity in AI and Machine Learning for Agricultural Science, USDA-ARS-2022-0013 |
TBD |
Human Nutrition, Food Safety, Crop Production |
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 Postdoctoral Fellowship in Using AI Technology to Develop a Drought Prediction Tool, USDA-ARS-2022-0151 |
El Reno, OK |
Meteorological Drought Prediction, AI |
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 Machine Learning and Bioinformatics Analyses Applied to Livestock Genomics Research Postdoctoral Fellowship, USDA-ARS-2022-0159 |
Beltsville, MD |
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 Fellowship for Developing AI and ML Techniques to Advance Understanding of How Dietary Patterns Influence Human Health, USDA-ARS-2022-0164 |
Beltsville, MD |
Human Health, Dietary Patterns, 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 |
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. USDA ARS Chief Science Information Officer, Dr. Debra Peters (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!