U.S. Department of Energy
Just Landed
2 days ago
USAISR Artificial Intelligence/Machine Learning Postdoctoral Fellowship U.S. Department of Defense (DOD) in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Stipend to be determined by USAISR; typically based on academic standing, discipline, experience, and research facility location. Additional provisions may include health insurance supplement, relocation allowance, and training/travel allowance.
Country
United States
University
U.S. Department of Energy
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About this position
This postdoctoral fellowship is based at the U.S. Army Medical Research and Development Command’s Institute of Surgical Research (USAISR) within the Expeditionary Medical Systems Department. The work centers on applying artificial intelligence and machine learning to combat casualty care, with the selected fellow joining data scientists and systems engineers on advanced modeling projects that support the Army’s mission to optimize combat casualty care.
The research environment combines digital twin concepts, simulation, multimodal data fusion, and clinically oriented decision support. The fellow will contribute to projects spanning discrete event simulation for workflows and logistics, deep learning for forecasting and anomaly detection, physics-informed and hybrid neural models, reinforcement learning for process optimization, and generative methods for synthetic data and edge-case scenario generation.
Other areas include computer vision for extracting clinically relevant information from medical imagery, video, and operational sensors; multimodal models that combine vision, text, audio, physiological signals, and structured telemetry; and vision-language/foundation models adapted for natural language interaction with visual and clinical data. The role also includes building scalable data pipelines, maintaining near real-time synchronization between physical and digital systems, and connecting predictive models and simulations to visualization tools for actionable operator insights.
The fellowship sits within a military medical research setting at Fort Detrick, Maryland, and is administered through ORISE for the Department of Defense.
Funding details
Stipend to be determined by USAISR; typically based on academic standing, discipline, experience, and research facility location. Additional provisions may include health insurance supplement, relocation allowance, and training/travel allowance.
What's required
Applicants must hold a PhD in a STEM field listed in the opportunity's eligibility section, and the degree must have been received within the last 60 months of the appointment start date. Citizenship must be U.S. Citizen or LPR. A suitability/background investigation is required, and the offer is tentative pending a favorable outcome. Preferred experience includes discrete event simulation, deep learning for time-series forecasting and anomaly detection, computer vision, multimodal modeling, vision-language models, physics-informed neural networks, deep reinforcement learning, GANs/VAEs/diffusion models, Bayesian networks, Python, and ML frameworks such as PyTorch, TensorFlow, Hugging Face, and OpenCV.
How to apply
Apply through the Zintellect portal using the Apply button on the opportunity page. Complete the required profile, education and employment history, essay questions, resume, transcripts, and one recommendation. Use the provided contact email only for questions and include the reference code in the subject line.
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.