We are actively looking for kind, sincere, motivated, and collaborative researchers who share our vision of developing next-generation computational imaging solutions for improving human health. We have openings at multiple levels, as listed below.
Note for students at WashU: We have open rotation positions in the lab for NIH-funded projects. Our lab has a strong history of rotation students securing student grants (see here and here) and presenting at international meetings (see here, here, and here) based on the work they conducted during their rotation. If you are interested in a rotation in the lab, reach out to us. We welcome applications from both PhD and Masters students.
Note for PhD applicants: PhD positions at WashU are fully funded and include a stipend. We currently have multiple open NIH-funded PhD student positions in computational medical imaging. You would find the tips I provide below helpful.
Position Summary: We are seeking highly motivated postdoctoral fellows for NIH and NSF-funded projects on developing computational methods for quantitative medical imaging. These fellowships present highly exciting opportunities to impact both the technology and the translation of quantitative imaging. One NIH R01 grant is on objective evaluation of quantitative imaging methods with clinical data (no-gold-standard evaluation) (press release) and another is on developing methods for ultra-low count imaging (press release). The NSF CAREER grant is on developing a list-mode imaging paradigm, which will involve developing methods to extract task-specific information from imaging systems that collect data on a per-photon basis (press release).
The fellow will conduct highly innovative and impactful physics and artificial intelligence-based computational medical imaging research. The fellow will leverage the unique strengths of WashU, including access to state-of-the-art scanners and opportunities to collaborate with a diverse group of multidisciplinary researchers from the Mallinckrodt Institute of Radiology in the School of Medicine and the Department of Biomedical Engineering in the School of Engineering and Applied Sciences at WashU. Opportunities to initiate new projects will also be available. For more information visit our Research page.
Required Qualifications: Applicants must have a PhD degree in Biomedical Engineering, Electrical Engineering, Mathematics, Imaging Physics, or closely related areas. The successful candidate will have a strong background in computational imaging and inverse problems. Experience in machine learning, task-based image-quality evaluation, and in working with clinical data will be advantageous.
Salary and Benefits: Job Type/Schedule: This position is full-time and works approximately 40 hours per week. Base pay will be commensurate with experience. This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits.
Applicant Special Instructions: Position is available starting immediately. Interested candidates please go through the research and publications on our web page and send (1) a research statement and (2) their CV via email to Dr. Abhinav K. Jha.
Position Summary: We are seeking a highly motivated postdoctoral fellow for an NIH-funded project on developing uncertainty quantification methods for ethical use of AI in the clinic. Please go through this press release for more details on the project. This is a highly exciting opportunity to impact the clinical translation of AI-based quantitative imaging for clinical decision making.
The fellow will conduct highly innovative and clinically impactful research on quantifying uncertainty of AI-based quantitative imaging methods and incorporating this uncertainty when making clinical decisions. They will leverage the unique strengths of WashU, including access to state-of-the-art scanners and opportunities to collaborate with a diverse group of multidisciplinary researchers from the Mallinckrodt Institute of Radiology in the School of Medicine, the Department of Biomedical Engineering in the School of Engineering and Applied Sciences, and the Department of Philosophy in the School of Arts and Sciences at Washington University. Opportunities to initiate new projects will also be available. For more information visit our Research page.
Required Qualifications: Applicants must have a PhD degree in Biomedical Engineering, Electrical Engineering, Mathematics, Computer Science, or closely related areas. The successful candidate will have a strong background in artificial intelligence and quantitative imaging. Prior research experience in quantifying uncertainty of AI-based algorithms and in the ethical aspects of AI would be considered advantageous.
Salary and Benefits: Job Type/Schedule: This position is full-time and works approximately 40 hours per week. Base pay will be commensurate with experience. This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits.
Applicant Special Instructions: Position is available starting immediately. Interested candidates please go through our recent Nature Medicine article (link) and send (1) a research statement that explains how you can contribute to this line of research and (2) their CV via email to Dr. Abhinav K. Jha.
We have multiple NIH-funded PhD student positions for projects on developing novel computational methods for medical imaging. Research will lead to training in the areas of task-specific computational imaging, imaging science, statistical signal processing and machine learning. Projects are available in the areas of image reconstruction, image analysis, and developing deep-learning-based methods for medical imaging. Please see our research page. Further, there will be opportunities to pursue new ideas. The ideal candidate will have a keen desire to learn, a strong work ethic, and a background in programming and signal processing.
We generally takes students from the Biomedical Engineering program and the Imaging Sciences PhD program. Students interested in joining the lab will need to apply to one of these programs. Details regarding applying to these programs are available here and here.
Tips for prospective PhD students:
We receive a large number of emails from prospective students in the Fall semester. A common question in the emails is whether we have open positions, and the answer to that question is a resounding yes.
Unfortunately, we are not able to reply to all emails given the volume. That being said, for students who really take care to write a personalized email that demonstrates their enthusiasm and passion for joining our lab, we try our best to get back. Here are some tips on how to demonstrate this passion:
- Go through the Research section of our website.
- In your email to the PI (Abhinav Jha), provide a short write up that summarizes why you are excited about joining our lab, your research interests, skills and research experience, and how your skills and interests align with the ongoing work in the lab.
- Enclose a copy of your CV and transcripts in the email. The CV should list the courses you have taken, particularly those that are relevant to our field of research.
We try our best to get back to emails that contain these pieces of information. If you have included all this information and still do not hear back from us by one week, please get back. Also, if you still do not hear back, do not feel disheartened. Keep doing the good work!
International PhD applicants: If you belong to a certain list of universities, you may be eligible for the Deans International Award.
We take students for summer positions from several programs across Washington University. Please see a list of programs here. The summer intern will gain research experience in the areas of machine learning and imaging for biomedical applications. This also provides the students opportunities to demonstrate their potential to be admitted to the PhD program at WashU and at other places.
Applicants must have a keen desire to learn and strong work ethic. Interested students please send (a) a short writeup summarizing their interests and objectives in gaining this research experience and (b) resume to Dr. Abhinav K. Jha via email.
Note for international students: We recruit international student interns through the International Student Research Program. We have successfully nominated students who were outstanding interns to the Deans fellowship, an excellent mechanism for them to be admitted to WashU along with a fellowship.