Postdoctoral Research Fellow

Wake Forest School of Medicine
Location: 
Winston-Salem, NC
Job Type: 
Full Time
Closing Date: 
Thursday, June 13, 2019

Applications are invited for a 2 to 3-year postdoctoral position developing neuroimage analysis pipeline to predict diagnoses & outcomes for mental, neurodevelopmental, neurodegenerative diseases.

Background: Radiology Informatics and Image Processing Lab (RIIPL) in the Radiology Department at Wake Forest School of Medicine is an interactive and collaborative team conducting cutting-edge research for medical image analysis. We address unmet clinical needs by forming predictive models that make diagnoses and prognoses more precise and advance neuroscience by furthering the understanding of mechanisms in disease and intervention. Based on multidisciplinary team members (Neuroradiologist, MR Physicist, Biomedical Engineer, Computer Programmer and Study Coordinators), RIIPL has very competitive computing clusters and has developed automated processing pipelines for human brain MRI (structural MRI, fMRI, diffusion MRI, Arterial Spin Labeling, Susceptibility Weighted Imaging), MEG and non-human primate MRI.

In the pursuit of this research, one postdoctoral positions is available in the RIIPL. Applications are invited for a 2 to 3-year computational postdoctoral research position. The researchers will develop novel image processing pipeline to predict diagnoses and outcomes from patient data including imaging (structural MRI, fMRI, diffusion MRI, MEG, PET) and corresponding genomic, metabolic and clinical data. Potential projects include 1) discovering image-based biomarkers for rapid-onset dystonia Parkinsonism (collaboration with Neurology & Neurosurgery Department, Wake Forest School of Medicine), 2) Neurodevelopmental changes in youth and high school football players (Collaboration with Wake Forest Center for Injury Biomechanics), 3) Early diagnosis and interventions for neurodegenerative diseases (Collaboration with Wake Forest Alzheimer’s Disease Research Core).

Ideal applicants will have:
• Ph.D. degree in Computer Science, Electrical or Biomedical Engineering, or related field.
• Experience in medical image analysis algorithms including familiarity with at least 1 image data type: MRI, PET/SPECT, CT, MEG/EEG.
• Strong programming skills:
o MATLAB/Linux
o Experience in at least 1 ML Python library: Keras, scikit-learn, TensorFlow, PyTorch, Nilearn, PyMVPA (Optional).
o Optional but helpful: Experience in C/C++ (ITK library), cMake
• At least 2 first author papers published and writing skills in English.

Our salary compensation follows NIH guideline and enhanced by the low cost of living in Winston-Salem. Benefits include health insurance and support for national/international conferences. Depending on the experiences, higher research staff position (Research Associate) will be available.

Please apply by email to Dr. Whitlow [cwhitlow@wakehealth.edu] or Dr. Jeongchul Kim [jeokim@wakehealth.edu] and include your CV, names and addresses of three references, statement of research accomplishments and future goals, preferably as one single PDF-document. Use the subject line “PostdocApplicant: <your name>”.

The RIIPL is located within the Radiology Department on Wake Forest Baptist Medical Center. Members have access to multiple research-dedicated scanners (such as 7T, 3T MRI and MEG) and the opportunity to work on a range of image analysis, machine learning and modeling projects on interdisciplinary teams, and participate in all aspects of method development and data analysis with collaborators.