Assistant Professor of Neurology (Institute of Neuro Imaging)

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As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu (opens in new window)) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. INI’s unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological, and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry, and environmental neuroscience. INI is recruiting a talented full-time Assistant Professor with expertise in the neuropsychology of aging and stress-related conditions, and a focus on environmental risk factors such as air pollution. The applicant should have significant experience developing and executing projects using complex large-scale datasets consisting of heterogeneous clinical and neuroimaging measures. A large component of this position will be directing a multi-cohort environmental working group dedicated to understanding the impact of environmental exposures on brain structure and function. The applicant will be required to apply and obtain funding for this effort through NIH or other grant mechanisms. As such, the applicant should exhibit strong skills in grantsmanship and empirical science writing. Additionally, applicants with working knowledge or expertise in the use of machine learning and advanced data science strategies to address clinically relevant questions about the brain are strongly encouraged to apply. The applicant will be required to teach one class per semester in the Neuroimaging and Informatics master’s degree program. Preferred Qualifications: Experience with harmonization of clinical data collected from multiple cohorts around the world through a variety of assessmentsharmonization of structural and/or diffusion MRI data collected from multiple cohorts around the world using various scanner sequences and magnetic field strengthsleading large-scale multi-cohort projects with 100+ investigatorsNIH grant writing and scientific publicationsenvironmental exposure measurements (e.g., air pollution) and geospatial modeling strategiesmachine learning/deep learning for clinical/behavioral phenotypingneuropsychological assessment (battery development, test administration, scoring, and interpretation) Minimum education: PhD Minimum field of expertise: sound knowledge of brain-behavior relationships in clinical and non-clinical populations, particularly in older adults. Knowledge of structural and diffusion MRI techniques, big data methodologies, and multi-cohort data harmonization. The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Job ID REQ20110623 Posted Date 07/25/2025 Apply Current employees apply here SHARE FacebookXLinkedInEmail Related Content Mission Statement USC’s central mission is the development of human beings and society as a whole through the cultivation and enrichment of the human mind and spirit. Learn More July 28, 2025 Mission & Values Blog - Hub Page Related Content Our Communities Rooted in LA, USC partners with local communities to uplift education, well-being, and opportunity across Southern California. Learn More July 28, 2025 Culture & Community Blog - Hub Page Related Content USC Today Explore the latest stories of impact, innovation, and Trojan spirit shaping USC and the world beyond. 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I understand I can opt-out from receiving email and SMS communications at any time. Assistant Professor of Neurology (Institute of Neuro Imaging) Los Angeles, CA Apply Current employees apply here Job ID REQ20110623 Category Faculty Helpful Information for Applicants External Applicants Internal Applicants (Current USC Employees) The University of Southern California (USC), founded in 1880, is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu (opens in new window)) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. INI’s unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological, and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry, and environmental neuroscience. INI is recruiting a talented full-time Assistant Professor with expertise in the neuropsychology of aging and stress-related conditions, and a focus on environmental risk factors such as air pollution. The applicant should have significant experience developing and executing projects using complex large-scale datasets consisting of heterogeneous clinical and neuroimaging measures. A large component of this position will be directing a multi-cohort environmental working group dedicated to understanding the impact of environmental exposures on brain structure and function. The applicant will be required to apply and obtain funding for this effort through NIH or other grant mechanisms. As such, the applicant should exhibit strong skills in grantsmanship and empirical science writing. Additionally, applicants with working knowledge or expertise in the use of machine learning and advanced data science strategies to address clinically relevant questions about the brain are strongly encouraged to apply. The applicant will be required to teach one class per semester in the Neuroimaging and Informatics master’s degree program. Preferred Qualifications: Experience with harmonization of clinical data collected from multiple cohorts around the world through a variety of assessmentsharmonization of structural and/or diffusion MRI data collected from multiple cohorts around the world using various scanner sequences and magnetic field strengthsleading large-scale multi-cohort projects with 100+ investigatorsNIH grant writing and scientific publicationsenvironmental exposure measurements (e.g., air pollution) and geospatial modeling strategiesmachine learning/deep learning for clinical/behavioral phenotypingneuropsychological assessment (battery development, test administration, scoring, and interpretation) Minimum education: PhD Minimum field of expertise: sound knowledge of brain-behavior relationships in clinical and non-clinical populations, particularly in older adults. Knowledge of structural and diffusion MRI techniques, big data methodologies, and multi-cohort data harmonization. The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Job ID REQ20110623 Posted Date 07/25/2025 Apply Current employees apply here The University of Southern California (USC), founded in 1880, is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu (opens in new window)) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. INI’s unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological, and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry, and environmental neuroscience. INI is recruiting a talented full-time Assistant Professor with expertise in the neuropsychology of aging and stress-related conditions, and a focus on environmental risk factors such as air pollution. The applicant should have significant experience developing and executing projects using complex large-scale datasets consisting of heterogeneous clinical and neuroimaging measures. A large component of this position will be directing a multi-cohort environmental working group dedicated to understanding the impact of environmental exposures on brain structure and function. The applicant will be required to apply and obtain funding for this effort through NIH or other grant mechanisms. As such, the applicant should exhibit strong skills in grantsmanship and empirical science writing. Additionally, applicants with working knowledge or expertise in the use of machine learning and advanced data science strategies to address clinically relevant questions about the brain are strongly encouraged to apply. The applicant will be required to teach one class per semester in the Neuroimaging and Informatics master’s degree program. Preferred Qualifications: Experience with harmonization of clinical data collected from multiple cohorts around the world through a variety of assessmentsharmonization of structural and/or diffusion MRI data collected from multiple cohorts around the world using various scanner sequences and magnetic field strengthsleading large-scale multi-cohort projects with 100+ investigatorsNIH grant writing and scientific publicationsenvironmental exposure measurements (e.g., air pollution) and geospatial modeling strategiesmachine learning/deep learning for clinical/behavioral phenotypingneuropsychological assessment (battery development, test administration, scoring, and interpretation) Minimum education: PhD Minimum field of expertise: sound knowledge of brain-behavior relationships in clinical and non-clinical populations, particularly in older adults. Knowledge of structural and diffusion MRI techniques, big data methodologies, and multi-cohort data harmonization. The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Job ID REQ20110623 Posted Date 07/25/2025 Apply Current employees apply here