Postdoctoral fellow positions
Machine Learning and Personalized Prognostics Lab
part of the Advanced NeuroScience Imaging Research (ANSIR) Core
Radiology Department and Advanced Imaging Research Center
University of Texas Southwestern
Dallas, TX, USA
Multiple postdoctoral fellow positions are available in the department of Radiology within the Machine Learning and
Personalized Prognostics Lab, itself part of the Advanced Neuroscience Imaging Research (ANSIR) Core. We are seeking
stellar researchers in machine learning, computer vision, computational image analysis, and MR pulse sequence
development who are interested in a career in medical image analysis. Current research projects include:
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Brain connectivity analyses: extracting prognostic biomarkers from functional imaging (fMRI, MEG/EEG) and
diffusion imaging using (DTI and HARDI)
Imaging genetics: probabilistic modeling and feature selection for imaging genomics analyses
Machine learning: deep learning, decision forests, and sparse learning for outcome prediction
Multi-parametric tumor assessment: metabolic imaging (MRS), perfusion, whole-mount histopathology
MR pulse sequence development: compressed sensing for diffusion/functional/perfusion (ASL) MRI
Non-linear image registration: multimodal correspondence detection and normalization, 2D & 3D
Clinical applications include (1) quantifying head injury (mild traumatic brain injury) in sports, (2) extracting biomarkers
that characterize the impact of diabetes, aging, & dementia on cognitive processes, and (3) tumor metabolism
quantification with applications in the prostate and brain. Responsibilities include developing robust methods suitable
for the clinic; improving existing approaches; establishing new collaborations and the objectives of funded grants;
developing grant writing skills. Applicants must have a PhD or MD or equivalent, solid training in applied
mathematics/statistics & computational sciences, and scientific track record in image analysis, computer vision, machine
learning, or genomics analysis. Successful candidates have multiple first-author papers in leading venues i.e. IPMI,
MICCAI, OHBM, NIPS, ICML, ECCV, CVPR and journals. Applicants with expertise in the following areas are strongly
encouraged to apply:
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Deep learning neural networks, decision forests; Bayesian modeling, probabilistic graphical modeling
Image segmentation using multi-atlas or machine learning
Robust image registration across modalities
C++ and Python especially with ITK or with parallel programming; MATLAB distributed computing
SPM, FSL, or FreeSurfer
The Machine Learning / Montillo and ANSIR laboratories conduct innovative research in the area of neuro-functional
imaging utilizing perfusion, diffusion, spectroscopic MRI and MEG, imaging genetics, and multi-parametric brain tumor
quantification. This is a highly interdisciplinary group consists of scientists from medicine, neuroscience, physics and
engineering. UT Southwestern is ranked in the top 25 institutions by The Scientist's Best Places to Work for Postdocs
survey. Our lab is a short walk to UTSW's dedicated 3T and 7T MRI human scanners, as well as 4.7T, 7.0T, and 9.4T
animal scanners, and PET scanners. We have on-going collaborations with co-located Clements University Hospital,
Parkland Hospital, and Children's Medical Center and are an integral part of the Texas Institute for Brain Injury and
Repair. Dallas,TX is the fourth most populous metropolitan area in the USA and offers a vibrant professional life and
career opportunities. Residents enjoy a sunny climate with mild winters, an abundance of restaurants, cafés,
professional sports teams, and major arts venues including 2 world class symphony orchestras.
Interested individuals should send a CV, a brief statement of research interests, and list of contact information for
three references to: Albert Montillo, Assistant Professor of Radiology, at Albert.Montillo@UTSouthwestern.edu
UT Southwestern is an Equal Opportunity Institution.