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Internship Computer Science Postdoc Jobs in Norfolk, VA

Engineering, Physics, Network Security, Information Systems, or Computer Science OR * Student Interns : At least 90 credit hours completed toward a BS degree in one of the fields listed above with a ...

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Internship Computer Science Postdoc information

What is the difference between Internship Computer Science Postdoc vs Research Scientist?

AspectInternship Computer Science PostdocResearch Scientist
Required credentialsTypically PhD or nearing completion in Computer SciencePhD in Computer Science or related field
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, universities
Employer and industry usagePrimarily academic and research institutionsIndustry companies, government agencies, academia
Common search and comparison intentUnderstanding early career research rolesExploring advanced research positions in industry or academia

Internship Computer Science Postdocs are typically short-term research positions for PhD candidates or recent graduates, mainly in academic settings. Research Scientists usually hold PhDs and work in industry or research labs, focusing on applied or fundamental research. While both roles involve research, internships are entry-level and temporary, whereas Research Scientists are more permanent and senior roles.

What cities near Norfolk, VA are hiring for Internship Computer Science Postdoc jobs?

Cities near Norfolk, VA with the most Internship Computer Science Postdoc job openings:

Postdoctoral Research Associate - Generative AI for Fracture Modeling and Digital Twins

Norfolk, VA • On-site

Old Dominion University Research Foundation
Colleges, Universities, and Professional Schools • 1 - 5K employees

$80 - $100/hr

Other

Posted 7 days ago


Key responsibilities

  • Define target anatomical representations, assemble datasets, and develop baseline generative models for bone fracture simulation.

  • Introduce fracture-conditioned generation, improve anatomical realism, and incorporate biomechanical and clinical constraints into models.

  • Produce high-resolution anatomical models, validate them for engineering and clinical applications, and prepare publications.


Old Dominion University rating

7.5

Company rating: 7.5 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

315th of 633 rated colleges and universities


Job description

The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace).

Postdoctoral Research Associate - Generative AI for Fracture Modeling and Digital Twins

Position Number: 26-045

College or Other: BATTEN COLLEGE OF ENGINEERING & TECHNOLOGY

Department: ELECTRICAL & COMPUTER ENGINEERING

FT/PT Status: Full Time

Summary

The Medical Simulation and Computer-Assisted Intervention Laboratory at Old Dominion University invites applications for afull-time Postdoctoral Research Associate to develop next-generationgenerativeAI models for anatomically accurate bone fracture simulation as part of a multidisciplinary translational research program involving Old Dominion University, the University of Virginia, Virginia Tech, and Sonogen Medical. The project is supported through a Virginia Catalyst collaborative award focused on AI-enabled orthopedic technologies and digital twin development.

Project Overview

The successful candidate will lead the development of fracture-aware generative anatomical models capable of producing high-fidelity 3D representations of healthy and fractured skeletal anatomy. These models will support AI algorithm development, digital twins, biomechanical simulation, medical device validation, and future clinical translation.

  • GenerativeAI
  • Medical image analysis
  • Biomechanical simulation
  • Digital twins
  • Orthopedic engineering
  • Medical device innovation
Research Responsibilities

The postdoctoral fellow will execute a one-year research program consisting of four major phases.

  • Months 1–3: Foundation and Baseline Models
    • Define target anatomical representations
    • Assemble and curate CT/MRI/X-ray datasets
    • Build computational infrastructure
    • Develop baseline diffusion and/or GAN-based anatomical generation pipelines
  • Months 4–6: Fracture-Aware Generation
    • Introduce fracture-conditioned generation
    • Improve anatomical realism
    • Incorporate biomechanical and clinical constraints
  • Months 7–9: High-Resolution Modeling and Validation
    • Produce publication-quality anatomical models
    • Integrate finite element and biomechanical plausibility
    • Validate models for engineering and clinical applications
    • Prepare conference and journal publications
  • Months 10–12: Generalization and Software Release
    • Improve robustness and diversity
    • Package reusable software
    • Finalize curated datasets
    • Prepare future NIH, NSF, and DoD proposals

These activities align with the ODU milestones in the Virginia Catalyst project, including foundationgenerativemodels, fracture-aware generation, high-resolution validation, and refinement/generalization.

The successful candidate will have opportunities to

  • Publish in leading AI and biomedical engineering journals
  • Present research at premier international conferences
  • Collaborate with clinicians, orthopedic surgeons, and AI researchers across multiple institutions
  • Participate in development of next-generation AI-enabled medical devices
Appointment
  • Full-time, anticipated to last 12-month r enewable subject to funding availability
  • Start date:Immediately available (preferred)
Job Responsibilities
  • Literature review, including finding relevant open-source software
  • Designing architecture of image analysis system
  • Implementing and training image analysis system
  • Validation of system.
  • Publishing on innovations.
Education and/or training:
  • Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Robotics, Medical Imaging, Applied Mathematics, or related discipline
Level and type ofexperience

Required

  • Strong programming skills in Python
  • Experience with PyTorch or TensorFlow
  • Experience with deep learning and generative AI
Specific knowledge, skills, and abilities:

Preferred

Experience in one or more of:

  • GANs
  • Medical image registration
  • Mesh processing
  • Point clouds
  • Biomechanics
  • Digital twins
  • Scientific computing (CUDA desirable)

Candidates with publications at MICCAI, CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, RSNA, or similar venues are especially encouraged to apply.

Other:

Excellent oral and written communication.

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