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- Tasks: Conduct experiments in MRI data for motion-robust image reconstruction and real-time processing.
- Company: Join the Intelligent Medical Imaging Research lab at UCI's School of Medicine.
- Benefits: Enjoy a pleasant climate, stunning ocean views, and excellent recreational opportunities.
- Why this job: Be part of cutting-edge research in medical imaging with a focus on deep learning.
- Qualifications: PhD in relevant fields with experience in MRI, image processing, and programming.
- Other info: Ideal for those passionate about advancing medical technology and publishing impactful research.
The predicted salary is between 36000 - 60000 £ per year.
Position overview
Salary range: A reasonable estimate for this position is $66,-$82, for Exempt . See the for the salary range for this position.
Application Window
Open date: August 7,
Next review date: Sunday, Nov 9, at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Jan 31, at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
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 medical image processing with deep learning for motion and distortion correction and image reconstruction in MRI. 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
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.
Department :
PhD in electrical or biomedical engineering, medical physics, computer science, applied mathematics, or a related field, with experience in MRI, image processing, and deep learning. High-quality publications (first authored) in top journals in the field
Application Requirements
Document requirements
Curriculum Vitae – Your most recently updated C.V.
Reference requirements
Postdoctoral in MRI, Image Processing, Deep Learning, Motion Correction employer: UCI School of Medicine
Contact Detail:
UCI School of Medicine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral in MRI, Image Processing, Deep Learning, Motion Correction
✨Tip Number 1
Network with professionals in the field of MRI and deep learning. Attend relevant conferences or workshops where you can meet researchers and practitioners. This can help you gain insights into current trends and potentially lead to recommendations for your application.
✨Tip Number 2
Engage with the research community by following key publications and authors in medical imaging and deep learning. This will not only enhance your knowledge but also allow you to reference recent advancements in your discussions during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those related to MRI and deep learning. Be ready to explain your methodologies, challenges faced, and how you overcame them, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Familiarise yourself with the specific research focus of the Intelligent Medical Imaging Research lab. Tailor your conversations and any questions you have during the interview to show your genuine interest in their work and how your skills align with their goals.
We think you need these skills to ace Postdoctoral in MRI, Image Processing, Deep Learning, Motion Correction
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in MRI, image processing, and deep learning. Emphasise any specific projects or research that align with the responsibilities outlined in the job description.
Highlight Publications: Include a section in your CV dedicated to your publications, especially those where you are the first author. This is crucial for demonstrating your expertise and contributions to the field.
Prepare References: Select three references who can vouch for your skills and experience in medical imaging and deep learning. Ensure you have their contact information ready, as only this will be required.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses your interest in the position and how your background fits the lab's focus on motion-robust MRI. Mention your programming skills in C++/Python/CUDA and any relevant projects you've worked on.
How to prepare for a job interview at UCI School of Medicine
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++, Python, and CUDA programming. Highlight specific projects where you've developed deep learning methods for MRI, as this will demonstrate your technical expertise and relevance to the role.
✨Discuss Your Research Experience
Talk about your previous work in MRI image reconstruction and motion correction. Be ready to explain the methodologies you used and the outcomes of your research, especially any first-author publications in top peer-reviewed journals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities in real-time image processing and quality assessment. Think of examples where you've successfully tackled challenges in your past projects and be ready to share those experiences.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must, practice explaining complex concepts in a clear and concise manner. This will not only help you during the interview but also showcase your ability to present findings effectively in papers and presentations.
