Postdocs & PhD students:MultiParam tumor quant.

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 postdoctoral fellow and PhD student positions in the Deep Learning for Precision health lab,, at the University of Texas Southwestern, Dallas, TX USA, in the area of multi-parametric tumor quantification. This research involves the construction of predictors of individual survivability and discriminators of individual treatment outcomes using advanced deep learning methodologies and the optimal fusion of multiple channels of neuroimages using big data approaches. Research success is enhanced through our existing large and growing databases with multi-modal tumor imaging data, as well as available research-dedicated human and animal MRI scanners at 3.0-9.4T, as well as ready access to PET/CT, MEG, EEG. 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 membership in a diverse group including neurosurgeons, neuroradiologists, neuroscientists, geneticists, psychiatrists, physicists, biostatisticians, and computer scientists and from exposure to our group’s previous work on medical image analysis.
The salary compensation is very competitive and is enhanced by the relatively low cost of living in Dallas. The position is a fully funded 2-year post with health insurance. The funding for this position is stable and drawn from multiple start-up packages and R01 NIH grants. Visa assistance is available for international applicants. This is an excellent opportunity to launch your career: hone skills in research, teaching, leadership, grant writing, while receiving close mentorship from multiple professors and clinicians and a lively UTSW postdoctoral association. UTSW is ranked in the Top 25 Best Places to Work for Postdocs (The Scientist).

QUALIFICATIONS: The successful candidate will have a strong background in Applied Math, Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience or related field, preferably with emphasis on image processing and analysis. Experience in survivability modeling, proportional hazard approaches (including cox models), tumor subtypes, image feature/texture extraction is highly desirable. Researchers with a background in multi-contrast MRI including advanced MRI (perfusion, diffusion), machine learning (deep neural networks and decision forests) are particularly encouraged to apply. Strong programming skills (working knowledge of Linux, C/C++ including ITK, Python, Matlab) is desirable.

For consideration, please email your application, preferably as one single PDF-document including: cover letter, CV with publications & references, concise description of research interests & career goals, and academic transcripts to Prof. Albert Montillo ( ). Please use the subject line "PostDocFellow-TumorQt: (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