"Postdoctoral Research Associate, Radiology and Imaging Services"

Postdoctoral Research Associate, Radiology and Imaging Services

Company:
The University of Arizona

Job Location:
Tucson, 85724

Category:
Diagnostic Imaging and Radiography

Type:
Full-Time

Posting Number: req24418

Department: Radiology & Imaging Sci Dept

Location: University of Arizona Health Sciences

Address: 1501 N. Campbell Ave., Tucson, AZ 85724 USA

Position Highlights

The Biomedical Imaging Innovation/Clinical Translation - Next-gen CT (BIG-CT) research laboratory in the Department of Radiology and Imaging Sciences at the University of Arizona in Tucson, AZ is seeking candidates for an open Postdoctoral Research Associate position to train/work under the direction of Drs. Srinivasan Vedantham and Hsin Wu Tseng. The BIG-CT research laboratory is focused on design and development of X-ray based imaging systems, imaging techniques, image processing, and image analysis, with an emphasis on clinical translation. The successful candidate will assume an important role in many of the laboratory functions that are funded by NIH/NCI research projects. The Postdoctoral Research Associate may be required to travel to other sites to perform collaborative research and to attend conferences and meetings, and may be required to work with potentially hazardous materials such as toxic chemicals, radiation, and/or disease-causing organisms.

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please

Duties & Responsibilities

• Participate in research on the development of X-ray based imaging systems and X-ray based imaging techniques such as computed tomography (CT) and x-ray phase contrast imaging (PCI).
• Perform laboratory duties such as setting up instruments, perform calibrations and acquire data.
• Participate in the development of protocols for clinical translational studies.
• Programming and testing of software algorithms and routines for image reconstruction, image quality assessment, radiation dose estimation, image processing/segmentation, and image analysis.
• Empirical evaluations of X-ray based imaging systems and techniques.
• Interact with collaborators from other institutions and organizations.
• Train students and staff to perform research related methods and evaluations.
• Collaborate in preparation of manuscripts for publications, presentations at conferences, and for grant applications.

Knowledge, Skills, and Abilities:

• Knowledge of the principles and techniques of x-ray imaging systems and methods.
• Abilities in technical writing and scientific communication.

Minimum Qualifications

• Ph.D. in Medical Physics, Biomedical Engineering, Electrical Engineering, Applied Physics or related field.

Preferred Qualifications

• Computer programming experience with MATLAB or IDL, C/C++, and Python.
• Experience with integrating components such motion control stages, x-ray generator and detector. -Experience with GEANT4 or similar Monte Carlo modeling toolkit.
• Experience with implementing computational neural network (CNN) architecture.
• Experience in image reconstruction for tomographic x-ray imaging.
• Experience in image processing and segmentation.
• Experience with performing empirical evaluations such as modulation transfer function and noise power spectrum measurements.
• History of peer-reviewed publications.

FLSA: Exempt

Full Time/Part Time: Full Time

Number of Hours Worked per Week: 40

Job FTE: 1.0

Work Calendar: Fiscal

Job Category: Research

Benefits Eligible: Yes - Full Benefits

Rate of Pay: NIH salary guidelines, Depends on Experience

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates

Maria Telles | telles@radiology.arizona.edu

Open Until Filled: Yes

Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter