Postdoc: Generative AI for Medical Imaging & Health

UC Irvine; Irvine (CA); On-site; USD 71,491 - 85,736; Full time

Job summary

UC Irvine seeks a Postdoctoral Scholar to contribute to the Computational Medicine Research Group's AI-driven imaging and non‑imaging analyses. You will advance deep learning methods for digital biopsies and real‑world data, with emphasis on clinical relevance and robust validation.

The role offers opportunities to publish in top journals, network with funding agencies, industry partners, and academic experts, and receive training in fellowship writing, teaching, and manuscript review.

Qualifications

• PhD or MD, PhD in CS/BI Informatics/Engineering/Statistics is required or expected.
• Strong background in computer science, biomedical informatics, or related fields.
• Experience with deep learning for medical imaging and non-imaging data is essential.

Responsibilities

• Collect, preprocess, and visualize high‑dimensional medical images, EMR, and genetic data.
• Train and validate generative DL models (GANs, Diffusion, Transformers) and deep RL models.
• Develop statistical models for uncertainty, causality, and prediction accuracy.
• Publish in biomedical and ML venues and engage with partners and funders.
• Mentor and teach others as part of the lab activities.

Skills

Python

MATLAB

C++

Java

Git

Education

PhD or MD, PhD in CS/BI Informatics/Engineering/Statistics

Tools

OpenCV

Theano

Caffe

Keras

TensorFlow

MySQL

MongoDB

Job description

UC Irvine seeks a Postdoctoral Scholar to contribute to the Computational Medicine Research Group's AI-driven imaging and non‑imaging analyses. You will advance deep learning methods for digital biopsies and real‑world data, with emphasis on clinical relevance and robust validation.

The role offers opportunities to publish in top journals, network with funding agencies, industry partners, and academic experts, and receive training in fellowship writing, teaching, and manuscript review.