Postdoctoral in Deep Learning in Medical Image Processing

UCI School of Medicine
Irvine
3 months ago
Applications closed

Related Jobs

View all jobs

Post-Doctoral Data Scientist

Professor of Public Health and Health Data Science

Algorithm Specialist

Position overview

Salary range:A reasonable estimate for this position is $66,-$80, for Exempt and $31.97-38.34 for Non-exempt. See the and the Saturday, May 31, at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date:Saturday, May 31, at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date.

Position description

The Intelligent Medical Imaging Research lab at the Department of Radiological Sciences in the School of Medicine, UCI, is seeking a Postdoctoral candidate in deep learning in Medical Image Processing. The lab's focus is on motion-robust magnetic resonance imaging using pulse sequence design, image reconstruction, and real-time image processing, for brain, body, and fetal applications.

Responsibilities: The successful candidates will conduct experiments with MRI data for motion-robust image reconstruction, quality assessment, image harmonization, real-time image processing. The work includes working with various MRI techniques, including, specifically, diffusion MRI, functional MRI, and quantitative MRI, algorithm and software development, and preparing papers, presentations, and reports

Basic Qualifications:

PhD in electrical or biomedical engineering, medical physics, computer science, applied mathematics, or a related field, with experience in MRI, image processing, or medical imaging, and deep learning.

Preferred Qualifications:

Demonstrated deep knowledge and experience in magnetic resonance imaging.

Demonstrated experience in C++/Python/CUDA programming for deep learning.

Demonstrated development of new deep learning methods for MRI.

Experience in MRI image reconstruction; motion and distortion correction in MRI.

Track record of first-author publications in top peer-reviewed journals in the field.

Excellent scientific writing ability and oral communication skills.

Location: The Intelligent Medical Imaging Lab is in the Irvine Campus of UCI, situated in Orange County, year-round pleasant climate, and stunning Pacific Ocean locales. The area offers excellent recreational opportunities.

Application Procedure: The position is available immediately and will remain open until filled. Interested candidates should apply through UC Irvine's recruitment at:

CV


Cover Letter
3 References (Contact information only)
Statement of Research
Teaching Statement
Inclusive Excellence Activities Statement
Sexual Misconduct Declaration Form

Contact Information: For further information pertaining to this recruitment, please contact:

Shelley Mueller

HR Analyst



..

Department:

PhD in electrical or biomedical engineering, medical physics, computer science, applied mathematics, or a related field, with experience in MRI, image processing, or medical imaging, and deep learning.

Application Requirements

Document requirements

Curriculum Vitae - Your most recently updated C.V.


Cover Letter


Statement of Research


Teaching Statement - See our guidance for writing a reflective teaching statement.


Inclusive Excellence Activities Statement - Statement addressing how past and/or potential contributions to inclusive excellence will advance UCI's Commitment to Inclusive Excellence. See our guidance for writing an inclusive excellence activities statement.


Sexual Misconduct, Harassment and Discrimination Declaration Form - All applicants of academic positions at the University of California, Irvine must download, complete, sign, and upload the following form with their application:

Reference requirements3-5 required (contact information only)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.