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Position Openings (not available right now)

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Postdoctoral Scholar

A Postdoctoral Scholar position is available for a highly motivated individual who wants to develop or advance his/her academic career in the field of medical imaging sciences/engineering. Our laboratory in the Department of Radiology in the Biological Sciences Division at The University of Chicago focuses on research on computer-aided diagnosis of lesions in medical images and tfhe development of techniques of pattern recognition, image analysis, and machine learning for computer-aided diagnosis. Our department is one of the leaders in computer-aided diagnosis research, which is at the forefront of research areas in medical imaging. 

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Applicants should have a Ph.D. in computer science/engineering, biomedical engineering, or a similar discipline. The successful candidate must have substantial experience in 2D and 3D pattern recognition, computer vision, image analysis, and/or machine learning. Experience in medical imaging is preferable. The successful candidate must also have several to a dozen of first-author high-quality journal publications (with decent impact factors) in relevant fields, strong problem-solving and excellent collaboration skills as well as excellent programming skills in the computer languages (C/C++, Perl, and Matlab).

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Interested candidates are encouraged to send their CV and a brief statement of research interests to: suzuki at uchicago dot edu.

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Available Positions

To apply for positions in our laboratory, please email suzuki at uchicago dot edu with your resume or CV, a short description of your research interests, and names/contact information for references (if available).

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Postdoctoral Scholar or Research Associate (Assistant Professor or Associate Professor)

If you have a Ph.D. or equivalent degree in a relevant area, there may be a possibility for a Postdoctoral Scholar position.  If you already have been trained in the U.S. in a relevant research area for several years and have a dozen of first-author papers in major journals (with decent impact factors) in relevant fields, you may be eligible for a research-faculty-type position such as Research Associate (Assistant Professor or Associate Professor), depending on your qualification.  Research projects will involve the development of new algorithms/methods for computer-aided diagnosis.  The projects will be a collaborative effort among investigators in our department including clinical collaborators as well as collaborators at outside universities. 

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Computer Scientist

If you have an M.S., Ph.D., or equivalent degree in computer science/engineering, biomedical engineering, or a similar discipline, there may be a possibility for a Computer Scientist position.  This position may be suited for a person who wants to develop his/her academic career in the field of medical imaging sciences/engineering.  Required skills for this position are excellent programming skills in the computer languages (C/C++, Perl, and Matlab) and strong problem-solving skills.  Substantial experience in 2D and 3D pattern recognition, computer vision, image analysis, and/or machine learning is desired.  Research projects will involve the development of new algorithms/methods for computer-aided diagnosis or machine learning.

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Research Assistant or Research Technician

If you are currently a graduate/undergraduate student at The University of Chicago or another university, there may be a possibility for a Research Assistant or Research Technician position.  If you are seeking research experience in a medicine-related field, for example, if you have an M.D. degree and are looking for your residency, you may work on a research project in our laboratory as Research Technician or Research Professional to develop your career.  There are a variety of jobs in this category: (1) collection of diagnostic images (CT, digital radiography, MRI, etc.), (2) selection of diagnostic imaging cases, (3) reconciliation of diagnostic images with radiology reports and/or pathology reports, (4) analysis of computer output on clinical cases, and so on.

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Visiting Scholar, Visiting Postdoctoral Scholar, or Visiting Professors

We will accept a Visiting Scholar in a relevant research area from a university outside of the U.S., but will not accept a short-term (< six months) visitor.  If you have a Ph.D., M.D., or equivalent degree in a relevant area, you may be qualified for a Visiting Postdoctoral Scholar position.  If you already have experience for several years after earning of your Ph.D. or M.D. degree, you may be qualified for a Visiting Assistant/Associate/Full Professor position.

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Research Opportunities for Those Who Look for Some Exposure to Research 

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Computer-aided diagnostic (CAD) scheme for early detection of colon cancer in CT colonography

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Computer-aided quantitative measurements of lesions in medical images

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Computerized detection and characterization of liver lesions in CT

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Development of machine learning for medical image analysis

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Investigation of a machine learning technique inspired by the human visual system that can be trained with a small number of cases

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gVirtual dual-energy radiographyh: Improved chest radiographs by means of rib suppression based on a massive-training artificial neural network

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Summer Research Opportunities for Undergraduate Students in an NSF Program

Please see the website of the NSF REU MedIX program for details.

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Call for papers: A special issue of  Neurocomputing on "Advanced Computing for Image-Guided Intervention"

Call for papers: A special issue of Computerized Medical Imaging and Graphics (CMIG) on "Machine Learning in Medical Imaging (MLMI)"

Call for papers: International Workshop on Machine Learning in Medical Imaging (MLMI 2014) in conjunction with MICCAI 2014 in September in Boston, USA

A book entitled "Computational Intelligence in Biomedical Imaging" has been published by Springer 

A book entitled "Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis" has been published by IGI Global 

Copyright © 2006-2013 The Kenji Suzuki Lab, The University of Chicago.