Are you interested in contributing to building robust and adaptive AI tools for medical imaging and precision medicine? A 3.5-year funded Ph.D. Project (Students Worldwide*) at the Department of Computer Science at the University of Sheffield, UK is available to apply.
Project information:
This project will focus on developing robust and adaptive AI models that can handle the complexities of medical imaging data as well as the domain gap and knowledge gap across different scenarios, and further adapt to individual patient needs. Depending on the student's profile, a particular focus would be identifying pitfalls of current AI models with adversarial machine learning techniques, multi-modality learning, large foundation models, or explainable AI (XAI) to enhance the reliability and applicability of AI algorithms for healthcare applications. More can be found at:
https://www.findaphd.com/phds/project/phd-studentship-in-robust-and-adaptive-ai-for-medical-imaging-and-precision-medicine/?p161431 Keywords: Adversarial machine learning, XAI, robust optimization, medical image and signal analysis, precision medicine, data/parameter-efficient learning.
Starting date for this position is negotiable, preferred to be in Feb. 2024, or Sep. 2024.
Contact: Enquiries and applications including a letter of interest, an up-to-date CV, and transcripts should be sent to Dr. Chen Chen (
work.c...@gmail.com). Please add quote [PHD-robustAI] in the email subject line.
*International students are welcome to apply, but please keep in mind that additional funding (e.g.,
https://www.sheffield.ac.uk/postgraduate/phd/scholarships) or personal finances will be required to cover the difference between home (UK) and overseas fees.