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U.S. Department of Agriculture

Just Landed

USDA-ARS Postdoctoral Fellowship in Optical Sensing and AI for Food Safety U.S. Department of Agriculture (USDA) in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Stipend of $80,000.00–$110,000.00 per year; appointment initially for one year and may be renewed contingent on recommendation and availability of funds.

Deadline

Jan 29, 2027

Country flag

Country

United States

University

U.S. Department of Agriculture

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Keywords

Computer Science
Chemistry
Deep Learning
Biology
Spectroscopy
Artificial Intelligence
Image Processing
Food Safety
Computer Vision
Optical Sensing
Hyperspectral Imaging
Chemometric
ML

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About this position

This postdoctoral fellowship at the U.S. Department of Agriculture’s Agricultural Research Service (ARS) supports research in the Environmental Microbial and Food Safety Laboratory. The position may be based at the Beltsville Agricultural Research Center in Maryland or the Eastern Regional Research Center in Pennsylvania.

The project develops optical sensing and artificial intelligence methods for food safety inspection. The fellow will work on integrating imaging and spectroscopy with machine learning and deep learning to relate optical measurements to food safety attributes. Research applications include rapid detection of foodborne bacteria such as E. coli, Listeria, and Salmonella, as well as identification of mycotoxin contamination in food and agricultural products such as aflatoxin in corn.

Under USDA-ARS scientist guidance, the postdoctoral researcher may contribute to experimental design, data collection, and data analysis using reflectance, fluorescence, Raman, color, transmission, hyperspectral, and multispectral techniques. The work also includes development and improvement of sensing systems and control software, image and spectral processing, multimodal data fusion, and AI model development for detection, classification, and prediction.

The role offers interdisciplinary collaboration with researchers in engineering, microbiology, and chemistry, and includes opportunities to prepare scientific manuscripts and conference presentations. The mentor listed for this fellowship is Jianwei Qin at USDA-ARS.

Funding details

Stipend of $80,000.00–$110,000.00 per year; appointment initially for one year and may be renewed contingent on recommendation and availability of funds.

What's required

Applicants should have received or be currently pursuing a doctoral degree in agricultural/biosystems engineering, mechanical engineering, electrical/computer engineering, computer science, food science, or a related field. Preferred skills include experience with imaging and spectroscopy (reflectance, fluorescence, Raman, color, transmission, hyperspectral, multispectral), optical sensing instrumentation, laboratory automation, robotics, and LabVIEW programming; experience applying machine learning, deep learning, and chemometrics to image and spectral data including preprocessing, feature extraction, data fusion, and model evaluation; proficiency in Python and MATLAB; familiarity with AI frameworks such as PyTorch or TensorFlow and models such as YOLO and ViT; experience setting up computational environments and training/running AI models on GPU servers; familiarity with food safety research, especially identification of foodborne bacteria and detection/analysis of mycotoxins; and strong experimental design, data analysis, scientific writing, oral communication, and collaborative research skills.

How to apply

Scroll to the bottom of the opportunity and click APPLY. Submit an application, transcript(s), a current resume/CV, and two educational or professional recommendations. All documents must be in English or include an official English translation.

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