University of Southern California
Assistant Professor of Research Neurology
University of Southern California, Los Angeles, California, United States, 90079
Assistant Professor of Research Neurology
Overview
The USC Stevens Neuroimaging and Informatics Institute seeks highly-qualified applicants for the position of Assistant Professor of Research (non-tenure track). The successful applicant will have a minimum 2+ years experience in mathematical modeling, biomedical image analysis, statistical analysis, bioinformatics, big data, multimodal MRI, methods development in MRI, or data mining techniques. The applicant should be skilled at applying mathematical and computer science methodologies in order to understand biological structure and function. They must have made efforts in brain mapping and visualization with the focus on the ability to automatically identify, detect, model and measure anatomic and functional features within brain scans. The applicant must also have experience in the field of medical imaging as it pertains to the computerized analysis of 3D medical images of brain.
Qualifications
The applicant must demonstrate extensive programming skills in several languages, such as C++, Python, Matlab, Java, R.
The applicant must have substantial experience in developing and validating biologically relevant models from complex MRI data.
The applicant must be internationally recognized for their technical and mathematical sophistication, as demonstrated by first-author publications in premier medical imaging conferences and journals.
The ideal candidate should have a PhD in Computer Science, Neuroscience, Biomedical Engineering, or a related field with a strong background in interdisciplinary computational research.
The candidate should have received rigorous training in modern neuroimaging, including neuroscience, image acquisition, image processing, computational modeling, and informatics.
The candidate is expected to have deep knowledge of current challenges and state-of-the-art techniques for structural brain mapping, particularly data analysis, modeling, statistics, and visualization with large-scale magnetic resonance imaging datasets.
The candidate should have extensive background in computational tool development using machine learning and interactive 3D visualization approaches, and substantial experience with research software development, dissemination, and training.
Candidates with expertise in diffusion MRI tractography, microstructure imaging, brain lesion segmentation, and preclinical imaging will be given additional consideration.
The candidate should have an exceptional publication track record, a demonstrated ability to secure external funding, and a commitment to collaborative research efforts both within and outside the USC community.
Salary
The annual base salary range for this position is $90,000-$120,000. When extending an offer of employment, the University of Southern California considers factors such as the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
How to apply
To apply, please send cover letter, CV and list of references to applications@ini.usc.edu. Incomplete applications may not be reviewed. Principals only; no agency or offsite. Absolutely no calls.
EEO
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. USC observes affirmative action obligations consistent with state and federal law.
Job ID: REQ20158688 | Posted Date: 07/25/2025
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The USC Stevens Neuroimaging and Informatics Institute seeks highly-qualified applicants for the position of Assistant Professor of Research (non-tenure track). The successful applicant will have a minimum 2+ years experience in mathematical modeling, biomedical image analysis, statistical analysis, bioinformatics, big data, multimodal MRI, methods development in MRI, or data mining techniques. The applicant should be skilled at applying mathematical and computer science methodologies in order to understand biological structure and function. They must have made efforts in brain mapping and visualization with the focus on the ability to automatically identify, detect, model and measure anatomic and functional features within brain scans. The applicant must also have experience in the field of medical imaging as it pertains to the computerized analysis of 3D medical images of brain.
Qualifications
The applicant must demonstrate extensive programming skills in several languages, such as C++, Python, Matlab, Java, R.
The applicant must have substantial experience in developing and validating biologically relevant models from complex MRI data.
The applicant must be internationally recognized for their technical and mathematical sophistication, as demonstrated by first-author publications in premier medical imaging conferences and journals.
The ideal candidate should have a PhD in Computer Science, Neuroscience, Biomedical Engineering, or a related field with a strong background in interdisciplinary computational research.
The candidate should have received rigorous training in modern neuroimaging, including neuroscience, image acquisition, image processing, computational modeling, and informatics.
The candidate is expected to have deep knowledge of current challenges and state-of-the-art techniques for structural brain mapping, particularly data analysis, modeling, statistics, and visualization with large-scale magnetic resonance imaging datasets.
The candidate should have extensive background in computational tool development using machine learning and interactive 3D visualization approaches, and substantial experience with research software development, dissemination, and training.
Candidates with expertise in diffusion MRI tractography, microstructure imaging, brain lesion segmentation, and preclinical imaging will be given additional consideration.
The candidate should have an exceptional publication track record, a demonstrated ability to secure external funding, and a commitment to collaborative research efforts both within and outside the USC community.
Salary
The annual base salary range for this position is $90,000-$120,000. When extending an offer of employment, the University of Southern California considers factors such as the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
How to apply
To apply, please send cover letter, CV and list of references to applications@ini.usc.edu. Incomplete applications may not be reviewed. Principals only; no agency or offsite. Absolutely no calls.
EEO
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. USC observes affirmative action obligations consistent with state and federal law.
Job ID: REQ20158688 | Posted Date: 07/25/2025
#J-18808-Ljbffr