Postdocs & PhD students: neuroimaging genetics

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 imaging genetics involving the development of algorithms for the identification of novel multi-modal (imaging and genetic) feature combinations and probabilistic models that explain such imaging-genetic interactions and facilitate diagnoses and prognoses in neuropsychiatric, neurodegenerative, and neurodevelopmental brain disorders.
The successful candidate will be co-mentored by  
•    Prof. Albert Montillo (machine learning and medical image analysis )
•    Prof. Genevieve Konopka (neuroscience, genetics)
and closely collaborate with Prof. Joseph Maldjian, and Prof. William Moore (Neuroradiology). Research success is enhanced through our existing large growing databases with same-subject imaging-genetic information as well as available research-dedicated human and animal scanners. The candidate will benefit from membership in vibrant national and international research communities through our on-going collaborations with UPenn, UCLA, 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 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 Statistics, Applied Math, Computer Science, Neuroscience, Electrical Engineering or related major, preferably with an emphasis on one or more of probability theory, genetics, or machine learning. Experience on probabilistic graphical models, dimensionality reduction, and sparse learning is highly desirable. Researchers with image processing pipelines and gene expression analysis are particularly encouraged to apply. Strong programming skills (working knowledge of Linux, C/C++, 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-ImgGen: (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