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Post-Doctoral Positions in MRI Simulation and Modeling

NORTHWESTERN UNIVERSITY


Location:
Chicago, Illinois 60611
Date:
04/13/2018
2018-04-132018-06-12
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Biomedical Engineering
  • Electromagnetics
  • Research
NORTHWESTERN UNIVERSITY
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Job Details

Post-Doctoral Positions in MRI Safety and Functional MRI

 

Two post-doctoral positions with competitive salaries are available at the Department of Radiology, Feinberg School of Medicine of Northwestern University, located at the heart of Chicago downtown. We are a dynamic team of physicists, engineers, neuroscientists and neurosurgeons conducting cutting-edge imaging research in a 9,000 square foot center that houses state-of-the-art research-dedicated scanners, including a Prisma 3.0 Tesla, two Tim Trio 3.0 Tesla and 1.5 Tesla Siemens Medical MR scanners and a 7.0 Tesla Bruker scanner. There is also a Siemens C-ARM angiographic system, a Nexstim Transcranial Magnetic Stimulation (TMS) machine and an MR simulator system that can be used to train subjects to the magnet environment. Successful applicants will work on multidisciplinary NIH-funded projects with a close collaboration with the US Food and Drug Administration (FDA).

We invite motivated enthusiastic applicants with a related background to apply for either of the positions below:

Position 1: Computational methodologies for safety assessment of MRI in patients with conductive implants

The candidate with develop computational models to characterize the interaction of radiofrequency fields of MRI scanners with human body in the presence of medical devices such as deep brain stimulation and cardiovascular implants. Project activities include development and validation of novel methodologies for safe imaging of patients with brain and cardiac implants through simulation and phantom experiments. The ideal candidate holds a PhD in Electrical Engineering, Biomedical Engineering, Physics, or a related field with a strong background in electromagnetic modeling and simulation and proven track record capacity to drive first author publications.

  • Proficiency in working with EM simulations software such as ANSYS HFSS, CST, SEMCAD, or Sim4Life is strongly preferred
  • Familiarity with physics of magnetic resonance imaging is a big plus

The candidate will closely work with clinicians in the fields of cardiovascular imaging and neuroimaging. He or she will interact with scientists in the US Food and Drug Administration with a great training opportunity in all aspects of MRI design, simulation and safety assessment. Interested applicants should send (1) a cover letter describing their research experience and career goals, (2) an up-to-date CV containing contact information of three references, and (3) copies of 2 or 3 representative publications, to Laleh Golestani Rad, Ph.D., by email: Laleh.rad1@Northwestern.edu.

Applications that are not complete will not be taken into consideration.

Position 2: Investigating modulatory effects of deep brain stimulation through functional magnetic resonance imaging

The project is focused on analyzing altered patterns of functional connectivity of cortico-striatal loops in advance Parkinon’s patients who are candidates for deep brain stimulation (DBS) surgery before and after operation to assess modulatory effects of DBS. The ideal candidate should hold a PhD in Neuroscience, Psychology, Engineering or a related field with strong proficiency is various neuroimaging analysis platforms, multivariate modeling and connectivity toolboxes. The candidate should have established quantitative and statistical skills, including programing and comfort with diverse computing environments and demonstrated capacity to drive first author publications.

Interested applicants should send (1) a cover letter describing their research experience and career goals, (2) an up-to-date CV containing contact information of three references, and (3) copies of 2 or 3 representative publications, to Laleh Golestani Rad, Ph.D., by email: Laleh.rad1@Northwestern.edu.

Applications that are not complete will not be taken into consideration.