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The University of Iowa in Iowa City, Iowa
Date Posted 02/20/2021
Faculty-Medicine-Medical Researcher
Employment Type FullTime
Application Deadline Open until filled

Requisition # 74072
Position Basics
Type of PositionRESEARCH-TRACK
Advertising Ends on:Extended Until Position is Filled
Advertising Started on:Friday, February 19th, 2021
College:Carver College of Medicine


Position Details
Full/Part Time Status:Full Time
Position Description:

The Roy J. and Lucille A. Carver College of Medicine invites applications for a 100% research track faculty position as a Research Assistant Professor in the Department of Radiology. 

The primary function of this position is to develop new MR imaging capabilities and independent research program in Radiology. The primary focus will be on the development of deep learning image reconstruction algorithms for magnetic resonance imaging and their integration with MRI hardware. The objective is to improve the state of the art in the imaging of anatomy, function, and metabolism. In addition, this position will report the results from these efforts in scientific publications as well as support the writing and submission of grant applications.

Candidates must be committed to the University's goal of inclusiveness and have a demonstrated history of working effectively with persons of all races, ethnicities, nationalities, genders, gender identities, sexual orientations, and religions. Candidates must be prepared to explain how they have been and/or will be involved in advancing this goal with CME and the CCOM.

About the MR Research Facility:

The University of Iowa MR Research Facility was established in August of 2004 and now supports research dedicated 3T and 7T whole body scanners and a 7T small animal scanner. The MRRF facility has received two NIH High End Instrumentation grants over the past ten years to help support the acquisition of these instruments. In 2016, the facility moved into the Iowa Institute for Biomedical Imaging (IIBI) located within the Pappajohn Biomedical Discovery Building (PBDB). The MRRF is run as a Core University facility. 

The MR Research Center aims to maintain state-of-the-art equipment and facilities. This requires an investment in both the hardware and software that compose our center's mainstay, and also an investment in recruiting and maintaining exceptional personnel. To that end, we have been actively pursuing development in the following areas to advance the research at our University...

Diffusion Tensor Imaging (DTI) - This is of interest mainly for evaluation of brain morphology changes associated with neurological and psychiatric disorders. We have been working on novel schemes for rotating the diffusion tensor and multishot approaches for high resolution Diffusion Tensor Imaging. We are also working on tools for fiber tracking. These tools are currently available through the Neuroimaging Informatics Tools and Resources Clearinghouse.

T1rho Imaging - The primary application of this technique is to assess and quantify pathologic cartilage matrix changes that are not detectable with standard morphological MRI. Initial work has focused on the knee joint in an ACL injury population to determine the suitability of T1rho as an imaging biomarker for early detection of osteoarthritis. Broader application to the ankle and hip joints are also being explored. We are also evaluating the utilization of this method to study pH changes that may result from stress including Post Traumatic Stress Disorder and depression.

Arterial Spin Labeling – Using the Siemens ASL WIP for VB13, we have started to evaluate this technique for functional brain activation studies. To date we have successfully generated reproducible measurements within the occipital cortex and are starting to evaluate higher order cognitive activation studies.

MR Spectroscopy – We have been working on tools for partial volume correction of brain MR spectroscopy studies and have been able to obtain the PEPSI sequence from Stefan Posse. Various pilot studies are currently being conducted using 1H-MRS, and at least one research group has voiced interest in evaluating treatment trials in Huntington’s disease using 1H-MRS.

Magnetic Source Imaging – We are currently working on assessing the validity and reliability of magnetic source imaging. This is a potentially powerful tool to understand brain function at a high temporal and spatial resolution.

For more information, please see: https://medicine.uiowa.edu/mri/about-mr-research-facility

The University of Iowa is an equal opportunity/affirmative action employer.  All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, associational preference, status as a qualified individual with a disability, or status as a protected veteran. 


Education Requirement:

A Ph.D. in an engineering or science field such as Computer Science, or Electrical Engineering.

Required Qualifications:

Required qualifications

  • Postdoctoral training or equivalent experience in deep learning-based image reconstruction.

  • Expertise in machine learning or artificial intelligence.

  • Expertise in signal and image processing.

  • Experience in MR imaging or related scientific discipline.

  • Excellent verbal and written communication skills.

  • Demonstrated strong analytical and data analysis skills.

  • Candidate must be committed to the University’s goal of inclusiveness and have a demonstrated history of working effectively with persons of all races, ethnicities, nationalities, genders, gender identities, sexual orientations, and religions.

  • Desirable Qualifications:

    Highly Desirable Qualifications

  • Training or experience in deep learning-based image reconstruction.

  • Experience and knowledge with compressed sensing and low-rank image reconstruction algorithms.

  • Prior experience and knowledge with MR imaging.

  • Prior success with grant applications and peer-reviewed publications.

  • Online Application Required Documents
     Curriculum Vitae
    Name and Contact Information of References
    Letter of Interest
     Number of References:  3

    To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information.

    Contact Information
    Contact:Amie E Stewart - amie-stewart@uiowa.edu
    Pappajohn Pavilion
    140 Hawkins Drive
    3984 JPP
    Iowa City, IA 52242
    Phone: 319-353-6992
    Department URL: https://medicine.uiowa.edu/radiology/

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