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Research Assistant Position

Human Imaging Laboratory

This is an exciting opportunity for graduate students in physics, engineering or computer science to participate in the development of novel functional and metabolic Magnetic Resonance Imaging (MRI) methods for clinical research applications in patients with brain and breast cancer. Responsibilities include assistance with data acquisition on a clinical MRI scanner, development of MATLAB based signal processing and image analysis tools, and analysis of functional and metabolic imaging data using seed-based correlation analysis, independent component analysis and spectral fitting methods. Additionally, RAs have the opportunity to participate in the preparation of results for international conferences and manuscripts. The laboratory offers a stimulating and challenging research environment, and training in advanced biomedical imaging.

Preferred Qualifications

  • Majoring in physics, engineering or computer science
  • Must have 2+ years of experience in MATLAB software development
  • Must have more than 6 months of experience with signal and image processing
  • Experience with Unix/Linux script programming
  • Experience with C++ software development. 
  • A working knowledge of MRI methods, especially those related to structural, functional and metabolic brain imaging
  • Ability to install and maintain hardware and software used for neuroimaging analysis and stimulus presentation and behavioral measures in neuroimaging experiments
  • Excellent communication skills
  • Ability to establish, maintain and communicate operational procedures
  • Supervisory skills and ability to monitor the performance of others (i.e. student interns) and provide feedback
  • The ability to work in a dynamic environment and problem solve in real-time using good judgment
  • Strong IT skills relevant to the processing, storage, and sharing of MRI data
  • Strong data collection, analysis and quality assurance skills
  • Ability to work independently in a team oriented environment

To Apply, Please Email Your Application Materials To:


Stefan Posse, Professor: Neurology Adult

Ph: 505 925-6087