Title Postdoctoral Research Associate I or II
Department Medical Imaging (0711)
Location University of Arizona Health Sciences
An NIH-funded research project is seeking candidates for an open Postdoctoral Research Associate position in the Department of Medical Imaging at the University of Arizona. The project is focused on developing theory and computer code for new approaches to personalized cancer therapy based on new mathematical models and patient-specific data from various modalities of Emission Computed Tomography.
The successful candidate will work closely with the Principal Investigator, Dr. Harrison Barrett, and will assume an important role in many of the R&D tasks needed for the implementation and validation of this novel approach to precision medicine.
The Postdoctoral Research Associate may travel to other sites to perform research collaborations and to attend conferences and meetings. The candidate will be required to take University training courses in chemical and radiation safety. The work does not involve exposure to toxic chemicals, hazardous radiation or disease-causing organisms.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
Accepting a new position is a big life step. We want potential candidates and their families to be able to make informed decisions. Candidates who are considering relocation to the Tucson or Phoenix area, and have been offered an on-site interview, are encouraged to use the free services offered by Above & Beyond Relocation Services (ABRS).Ask your department contact to be introduced to ABRS prior to your visit.
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Duties & Responsibilities
Develop new mathematical models of cancer and its response to physiological random processes.
Develop detailed mathematical models of Emission Computed Tomography (ECT) systems.
Develop efficient parallel-computing methods to implement these models.
Apply these methods to realistic simulations of tumors and normal physiology.
Develop algorithms based on models and ECT data to optimize therapy for an individual patient.
Knowledge, Skills, & Abilities
Understanding of advanced concepts in mathematics and statistics.
Extensive experience in CUDA and other parallel computing methods.
Understanding of the principles of task-based assessment of image quality.
Ability in technical writing and scientific communication.
Ph.D. in Applied Mathematics, Applied Physics or related field.
Strong background in rigorous image science and parallel computing.
Understanding of basic physiology.
Familiarity with current mathematical models in cancer research.
Interest in interacting with biomedical researchers and clinical oncologists
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job Category Postdoctoral Research
Benefits Eligible Yes - Full Benefits
Posted Rate of Pay DOE
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Posting Detail Information
Posting Number P20552
Open Date 04/19/2018
Open Until Filled Yes
Review Begins On 04/30/2018