Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
U.S. Department of Energy
3 days ago
Computational Modeling and Blast Overpressure (BOP) Risk Assessment to Brain Algorithm Internship Opportunity U.S. Department of Defense (DOD) in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Monthly stipend of $10,500.00–$10,609.00; health insurance supplement, relocation allowance, training and travel allowance may be provided.
Country
United States
University
U.S. Department of Energy
Apply for this position
Keywords
Suggested positions
About this position
This ORISE graduate student fellowship with the U.S. Department of Defense is hosted at the Defense Health Agency’s Defense Centers for Public Health–Aberdeen (DHA-DCPH-A). The project sits at the intersection of computational modeling, translational biomechanics, and health hazard assessment, with a focus on understanding how blast overpressure from military weapon systems may affect the brain.
The selected participant will work on research and applied computational activities that translate blast- and toxicology-related exposure concepts into mathematical models and algorithms. The work includes modeling blast-induced energy transfer to the brain, converting emerging exposure criteria into calculable workflows, and building MATLAB-based tools that classify risk levels and support Allowable Number of Rounds (ANOR) calculations.
The fellowship emphasizes hands-on scientific development in a multidisciplinary environment. The participant will engage with scientists and researchers and collaborate with biomechanical engineers, health physicists, and toxicologists while refining assumptions, validating models with blast sensor and waveform data, and interpreting historical exposure records. The work also includes preparing technical documentation, research summaries, and briefing materials that communicate algorithm design, validation methods, computational performance, and risk assessment results.
The research environment is centered on public health and military readiness, with the mission of improving understanding of current and emerging health threats and developing practical public health solutions for the Army and the Department of Defense.
Funding details
Monthly stipend of $10,500.00–$10,609.00; health insurance supplement, relocation allowance, training and travel allowance may be provided.
What's required
The applicant must be a U.S. citizen and must currently be pursuing a master's degree. The opportunity is open to students in the listed disciplines within Computer, Information, and Data Sciences or Engineering, and applicants should be prepared to submit transcripts, a resume, essay responses, and one recommendation. A suitability/background investigation is required, and proof of health insurance is required for participation.
How to apply
Apply through the Zintellect application portal using the Apply button on the opportunity page. Prepare a Zintellect profile, educational and employment history, essay answers, resume PDF, transcripts, and one recommendation before submitting. If you have questions, email [email protected] and include the reference code DCPH-A-2026-0006 in the subject line.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.