Bioinformatics, University of Texas Southwestern Medical Center

2549 10988
Position ID:UTSouthwestern-Bioinformatics-POSTDOCTORALRESEARCHER [#10988]
Position Title: Postdoctoral positions in Deep Learning for Neuroimaging at UT Southwestern Medical Center
Position Type:Postdoctoral
Position Location:Dallas, Texas 75390, United States [map]
Subject Areas: Computational Science and Engineering
Biomedical Engineering
Applied Mathematics
Electrical Engineering
Machine Learning
Appl Deadline:none (posted 2018/03/25, updated 2018/03/19)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications will be accepted. ***

Postdoctoral positions in Deep Learning for Neuroimaging at UT Southwestern Medical Center

Applications are invited for a 2 to 3-year computational postdoctoral research position in the Deep Learning for Precision health lab,, at the University of Texas Southwestern, Dallas, TX USA and the University of Texas Dallas – both in Dallas, TX USA in the area of deep learning. The research involves the development of state-of-the art deep learning algorithms (DNN, CNN) and probabilistic models for multi-modal neuroimage analysis using our large existing and growing database of neuroimaging data spanning brain injury, diseases impacting cognition: (Alzheimer’s, cardiovascular, schizophrenia, epilepsy, brain tumors) and chemical addictions. The project develops new tools for the systematic discovery of brain connectomics biomarkers of brain injury, and for outcome predictions in disease and drug addictions. The candidate will benefit from membership in vibrant national and international research communities through our on-going collaborations with UPenn, UCLA, Univ. of Washington, Philips and Siemens Research, as well as a large local neuroscience community at UTSW's O’Donnell Brain Institute, and UTD's Centers for Brain Health, Brain Performance, and Vital Longevity. The candidate will also benefit from regular interaction with computer scientists, statisticians, high performance computing scientists, neuroradiologists, neuroscientists and geneticists and from exposure to our group’s previous work on deep machine learning and big data medical image analysis.

Ideal applicants will have: 
• A Ph.D. degree in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, Biostatistics, Genetics or a related field with a solid computational background. 
• Strong programming and analytical skills, including experience with medical analysis and strong theoretical background in method development. 
• At least two first author papers published and demonstrated written communication skills in English. 

Please apply by email to Dr. Montillo [] and include your CV, statement of research accomplishments and future goals, and arrange to have two or three letters of recommendation sent to the same email address. 

The Montillo lab is located on the 4th floor of the E-building in the Bioinformatics Department on UT Southwestern’s South Campus. We will also work closely with other research groups within Radiology, Neurology, Surgery, Psychiatry,  Pathology and Radiation Oncology. Montillo lab members have access to considerable computational resources, including the >6,800-core cluster with >8 Petabyte of storage available through UTSW’s high-performance infrastructure (BioHPC). Future lab team members will have the opportunity to work on a broad range of computational and experimental aspects of medical image analaysis and predictive modeling on a highly interdisciplinary team, and participate in all aspects of method development, software implementation, data analysis, and experimental validation in collaboration with clinicians and neuroscientists. 

Albert Montillo, Ph.D.
Assistant Professor in the Lyda Hill Department of Bioinformatics
UT Southwestern Medical Center
5323 Harry Hines Blvd. Dallas, TX 75390-8579

UT Southwestern Medical Center is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
5323 Harry Hines Blvd

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