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David Broniatowski

7 months ago

Postdoctoral Position in AI for Cell Reference Materials (Computer Vision, Bioengineering) George Washington University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided, but the position is a postdoctoral fellowship at George Washington University and NIST, typically indicating a salaried, fully funded research role.

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Artificial Intelligence
Reproducibility
Computer Vision
Convolutional Neural Network
bio engineering

About this position

The George Washington University, in collaboration with the National Institute of Standards and Technology (NIST), is seeking a Post-Doctoral Fellow for a cutting-edge project in the Information Technology Lab (ITL) located in Gaithersburg, MD. The position is part of the IMS project, "Distributed Manufacturing of First-In-Class NIST Traceable Active Cell Reference Materials," and aims to address the reproducibility crisis in biotechnology by standardizing AI-driven cell analysis.

The successful candidate will design and train advanced Convolutional Neural Networks (CNNs) and Vision Transformers for cell segmentation, division detection, and label-free viability assessment. A key responsibility is to create reference materials that enable calibration and transfer of AI solutions across different laboratories, ensuring accuracy and reproducibility. The role involves architecture design for AI models where training data is limited, cross-lab calibration, and the development of deployable software using PyTorch for complex cell image analysis.

Applicants should have a PhD in Computer Science, with at least three years of relevant experience, and demonstrate mastery in PyTorch/Python, Vision Transformers, and CNNs. Strong software development skills and a proven ability to communicate complex data to multidisciplinary audiences are essential. The position offers the opportunity to produce high-quality publications and present at leading AI and bioengineering conferences.

This postdoctoral fellowship is based at the NIST campus in Gaithersburg, MD, and is ideal for candidates interested in artificial intelligence, computer vision, deep learning, bioengineering, and the development of standardized reference materials for biotechnology. For more information and to apply, follow the provided application link.

Funding details

No explicit funding details are provided, but the position is a postdoctoral fellowship at George Washington University and NIST, typically indicating a salaried, fully funded research role.

What's required

Applicants must have a PhD in Computer Science and at least 3 years of relevant experience. Required skills include expertise in PyTorch/Python, Vision Transformers, and state-of-the-art Convolutional Neural Networks. Candidates should have a proven ability to build and deploy complex software solutions for image analysis and a strong track record of presenting complex data to multidisciplinary audiences.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Statistics

Physics

Materials Science

Computer Science