University of Southern California · 1 day ago
Research Engineer
The University of Southern California is a leading institution in neuroimaging and informatics, seeking a full-time Research Engineer to contribute to projects on neurodegenerative disorders. The role involves data processing, analysis, applying machine learning methods, and preparing scientific manuscripts while working within funded projects related to brain mapping.
EducationHigher EducationUniversities
Responsibilities
Assist with data processing and analyzing the data
Apply machine learning, generative AI and ensemble integration methods to the datasets
Data visualization for interpretability of the models
Submit abstracts and papers to conferences and assist in preparing manuscripts
Designs, develops, and tests materials and prototypes for research projects
Investigates the feasibility of applying specific scientific principles and concepts to potential inventions and projects
Analyzes and presents data as appropriate and makes decisions to further the goals of the experiment
Work with large scale databases to identify and provide trajectories of brain decline
Provide thorough documentation of methods publicly on GitHub
Train coworkers in the methodologies
Write conference papers and assist in manuscript preparation
Work within the scope of funded projects, including but not limited to brain mapping in aging and Alzheimer’s disease
Qualification
Required
Master's Degree in Electrical Engineering/Biomedical Engineering/Computer Science/Data Science and 3+ years of experience in neuroimaging
Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, Generative AI and ensemble integration of artificial intelligence methods, statistics and image processing
Experience working with large-scale neuroimaging and genetics data
Proficiency in oral and written communication as determined by contributions to scientific conferences and related presentations
Supervise assigned student workers for completion of a project
Experience in designing, developing and maintaining pipelines/tools using machine learning and deep learning for neuroimaging applications
Knowledge about data visualization and various data analytics tools and libraries
Preferred
5+ years of experience in applications of AI in neuroimaging
Experience in working on projects related to aging of the brain to predict the structure of the brain as a function of sociodemographic and genetic factors
Experience building raw or segmented MR image quality assessment tools using machine learning and deep learning
Experience with synthetic data generation using generative models for harmonization of imaging data from multiple sources/sites using deep generative networks
Knowledge about ML models for classification and regression, deep learning networks like CNN's, RNN's, autoencoders and generative models like GANs, diffusion models, vision transformers
Experience writing and distributing code in Python, R, matlab, C/C++ or similar languages
Experience with ML frameworks such as PyTorch, Tensorflow, Keras, etc
Contribution to ISBI, ISMRM, OHBM, MICCAI, SIPAIM, EMBC or other AI in medical imaging and related conferences
Company
University of Southern California
University of Southern California is a private research university offering opportunities for interdisciplinary study and collaboration.
H1B Sponsorship
University of Southern California has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (253)
2024 (239)
2023 (172)
2022 (207)
2021 (182)
2020 (195)
Funding
Current Stage
Late StageTotal Funding
$19.64MKey Investors
Patient-Centered Outcomes Research InstituteCalifornia Institute for Regenerative MedicineCDA Foundation
2025-02-04Grant· $10.8M
2025-01-30Grant· $5.93M
2024-07-30Grant
Leadership Team
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