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Postdoctoral Researcher - AI and Medical Image Analysis

Indiana University

Indiana University

Software Engineering, Data Science
Posted 6+ months ago

Postdoctoral Researcher - AI and Medical Image Analysis

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Posting Details

Position Details
Title Postdoctoral Researcher - AI and Medical Image Analysis
Appointment Status Non-Tenure Track
Department IU Indianapolis Department of Biomedical Engineering and Informatics – Luddy School
Location Indianapolis
Position Summary
The Postdoctoral Researcher will help design and conduct research in AI & machine learning for medicine while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of an Academic career. The candidate will work in a highly collaborative environment including biomedical engineers and expert clinicians to conduct research in AI/ML methods to solve unmet clinical needs with multi-modal medical imaging modalities. They will assist the PI in designing and evaluating experiments for research focused on new AI and machine learning tools for the diagnosis, prognosis and prediction of treatment response for a number of types of cancer and other diseases. The Postdoctoral researcher will also develop new ideas that promote current research and prepare and publish scientific manuscripts under the direction of the Principal Investigator. May be responsible for the operation of specific computational equipment. Positions are temporary appointments as a research trainee. The Postdoctoral Fellow receives training under close supervision of PI at Indiana University Indianapolis along with clinicians at the IU School of Medicine Indianapolis.
Interested candidates should be self-driven and ideally have a background in artificial intelligence/computer vision/machine learning programming with Python.
KEY RESPONSIBILITIES
  • The Postdoctoral Researcher performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs.
  • Demonstrates knowledge of research and experimental platforms for analyzing, design and interpreting results.
  • Investigates and recommends potential alternative approaches to improve the quality of results of basic and/or translational research.
  • Aids in writing publications, IRB, Biosafety and other approval documents.
  • Oversees quality assurance of research conducted by other team members.
  • May assist in grant and other funding applications as necessary and appropriate, or with approval of the responsible faculty director, may have their own research projects and/or have full responsibilities for specific areas of instrumentation or methodology development and user support.
  • With the approval of the responsible faculty director, may be principal investigators on funded proposals. Performs other responsibilities as required.

This role will be granted the opportunity to work from home regularly but must be able to commute to Indiana University (IU) location as needed. IU reserves the right to change this status with notice to employee.
Basic Qualifications
  • PhD degree in in Biomedical Engineering, Computer Science, Electrical Engineering or related field and a demonstrable record of accomplishment in medical image analysis, organ-specific imaging, computer vision, and image registration and feature extraction.
  • Experience in Python programming is required. Additional experience with C++, JAVA, R is a plus Candidates with skills in computer vision, medical image analysis, foundation models, multi-modal integration will receive additional preference
  • Publications in high-impact journals and conferences are highly desirable.
Department Contact for Questions
Questions may be directed to Dr. Rakesh Shiradkar, rshirad(at)iu.edu.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
Expected Start Date 02/03/2025
Posting/OAA # IU-101111-2024

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