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Postdoc Robotics Jobs in Virginia (NOW HIRING)

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Postdoc Robotics information

What is a postdoc in robotics?

Postdoc Robotics positions are advanced research roles typically held by individuals who have recently completed their PhD in robotics or a related field. These positions involve conducting independent or collaborative research focused on robotics technologies, such as autonomous systems, artificial intelligence, machine learning, or human-robot interaction. Postdoctoral researchers in robotics often work at universities, research institutes, or industry labs, contributing to scientific publications and helping to develop new technologies. The role is meant to further develop research expertise and prepare for careers in academia, industry, or government research.

What are the key skills and qualifications needed to thrive as a postdoc in robotics?

To thrive as a Postdoc in Robotics, you need a PhD in robotics, computer science, electrical engineering, or a related field, along with strong research and analytical skills. Proficiency with programming languages (such as Python or C++), robotics simulation tools (like ROS or Gazebo), and experience with machine learning or control systems is typically required. Excellent problem-solving abilities, collaboration, and clear scientific communication make a candidate stand out. These skills and qualities are crucial for advancing research, publishing impactful work, and contributing to innovative robotics projects.

What types of interdisciplinary collaboration can a postdoc in robotics expect, and how do these collaborations impact research outcomes?

As a Postdoc in Robotics, you can expect to work closely with professionals from various fields such as computer science, mechanical engineering, electrical engineering, and even biology or cognitive science, depending on the project. These interdisciplinary collaborations are crucial for addressing complex research problems, fostering innovation, and ensuring that robotic systems are both technically robust and practical for real-world applications. Effective teamwork and communication skills are essential, as you will often contribute your robotics expertise while integrating insights from collaborators to advance research outcomes and publish in high-impact journals.

What is the difference between Postdoc Robotics vs Research Scientist Robotics?

AspectPostdoc RoboticsResearch Scientist Robotics
Required CredentialsPhD in Robotics, Engineering, or related fieldMaster's or PhD, often with more industry experience
Work EnvironmentAcademic labs, universities, research institutionsIndustry R&D labs, tech companies, startups
Employer & Industry UsageUniversities, government research agenciesPrivate companies, industry-focused research
Common Search & Comparison IntentUnderstanding academic vs industry roles in roboticsExploring career progression from academia to industry

Postdoc Robotics positions are primarily academic roles focused on research and publishing, often requiring a PhD. Research Scientist Robotics roles are industry positions that involve applied research, product development, and innovation within companies. While both roles involve robotics research, Postdocs are more academic-oriented, whereas Research Scientists work in commercial environments with a focus on practical applications.

What are popular job titles related to Postdoc Robotics jobs in Virginia?

For Postdoc Robotics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Postdoc Robotics jobs in Virginia look for?

The top searched job categories for Postdoc Robotics jobs in Virginia are:

Postdoc Robotics jobs near you
Infographic showing various Postdoc Robotics job openings in Virginia as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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
Learn more about Old Dominion University Research Foundationexternal

Other

Posted 10 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

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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