Research Scientist position in Neuroimage Analysis

Univ of Texas Southwestern & Univ of Texas Dallas
Dallas, TX USA
Job Type: 
Full Time
Closing Date: 
Thursday, May 31, 2018

Applications are invited for a Research Scientist position in the Deep Learning for Precision health lab,, at the University of Texas Southwestern, Dallas, TX  USA. The role entails the development of algorithms and software for the quantitative analysis of our large growing database of neuroimaging data including Alzheimer’s, brain injury, autism, epilepsy, cancer, in humans to discover new biomarkers of disease, brain injury and drug addictions. The successful candidate will benefit from ready access to research-dedicated, high performance compute clusters (including one of the world's largest clusters), and simplified code development through the use of large multi-core and GPU nodes and direct access to the latest IDEs (C/C++, Python, Matlab). This position is an excellent opportunity to launch your career: hone skills in programming and leadership, while receiving close mentorship from multiple professors (computer science, neuroscience, biostatisticians, physicists, and clinicians) and exposure to the group’s cutting edge work on medical image analysis.  
This is a fully funded position, nominally 2 years, but with strong potential for on-going renewal with satisfactory performance. Visa assistance is available for international applicants. The successful candidate will benefit from membership in a vibrant national and international research community with on-going collaborations with UPenn, UCLA, Univ. of Washington, Phillips 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.

QUALIFICATIONS: The candidate will have a strong background in Computer Science, Software Engineering, or Electrical Engineering, or related field, preferably with an emphasis on image processing and analysis. A Bachelor’s degree with 4 years of experience or a Master’s degree is required, while a PhD is preferred. Experience in one or more of the primary neuroimaging software pipelines (SPM, FSL, AFNI, or FreeSurfer), and familiarity with advanced MRI, MEG or EEG is required. Researchers with an interest in machine learning are particularly encouraged to apply. The candidate MUST demonstrate strong programming skills with at least 2 years of experience in Linux, Python, and another major language, preferably Matlab. Expertise in C/C++ (ITK library is a huge plus), machine learning Python libraries (sklearn, theano, PyMVPA) are beneficial), as is experience in Linux shell scripting, DICOM and GIT version control. The candidate will help automate pipelines running on our high performance compute cluster, and will be able to exercise your strengths in distributed computing, OpenMP/MPI.

For consideration, please email your application, preferably as one single PDF-document including: cover letter, resume with reference list, a concise description of career goals, and academic transcripts to Prof. Albert Montillo ( ). Please use the subject line " ResScientist: (your name) ".  Applications will be reviewed immediately until the position is filled.

The University of Texas Southwestern is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply