Postdoctoral Fellow in Image Processing - Kiehl Lab 2019-1062
Postdoctoral Fellow – Image Processing Category : Scientific Research
Location/City : NM - Albuquerque
Mind Research Network
Postdoctoral Fellow – Image Processing
An image processing and algorithm development postdoctoral position is currently available in Dr. Kent Kiehl's laboratory at The Mind Research Network in Albuquerque, New Mexico. The postdoctoral fellow will be responsible for developing advanced and novel computational tools for the analysis of magnetic resonance imaging (MRI) data, and will assist in the design and implementation of computer data systems including establishing coding formats for future research data collection. Will also evaluate the quality and validity of collected MRI data using statistical analysis tools, and will recommend additional tests and/or modifications to validate data. The postdoctoral fellow will be responsible for the development or selection of proper statistic tests, algorithms and methods, training research staff/students in using software packages for the analysis of MRI data such as SPM, AFNI and FSL, and developing new ideas that promote current research.
This opportunity includes access to the world's largest multimodal forensic database including structural and functional MRI, genetics, and clinical assessment data on over 3500 criminal offenders. The postdoctoral fellow will work on several federally-funded projects with a large and dynamic research team.
Ph.D in Biomedical Engineering, Neuroscience, Computational Neuroscience, Computer Science or related field with 2 years of experience in the field, or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained. Requires knowledge of programming languages (e.g. Matlab, Python, R, C, C++), algorithm development, multivariate association statistics, and scientific manuscript writing skills.
Preference will be given to candidates who are familiar with neuroanatomy, neurophysiology and neuroimaging techniques and analyses. Candidates with experience and/or interest in neuroprediction, particularly the use of brain and behavioral measures to predict outcomes (e.g., relapse to substance abuse and/or criminal behavior) are especially encouraged to apply, as are those with experience conducting independent research projects and publishing manuscripts.
The Mind Research Network is an independent non-profit organization dedicated to advancing the diagnosis and treatment of mental illness and brain injury.
Headquartered in Albuquerque, New Mexico, MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation.
With an extended community of academicians, researchers, graduate students and technicians, the MRN is uniquely positioned with its national infrastructure to link the brightest minds in neuroscience with some of the most cutting-edge neuroimaging capabilities in the world today.
Equal Opportunity Employer
The Lovelace Respiratory Research Institute Family of Companies is an Equal Opportunity employer–M/F/Veteran/Disability. We are committed to the hiring, advancement and fair treatment of all individuals, and all qualified applicants will receive consideration for employment without regarding to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, protected veteran status, or any other protected status as designated by federal, state or local law. All applicants and employees are further protected from discrimination based on inquiring about, disclosing or discussing the compensation of other applicants or employees. For additional information about your rights as an applicant, click here.
For assistance with our application process, including reasonable accommodations for individuals with disabilities to participate in the application process, please send an email to email@example.com call 505-348-9400.