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Research Assistant - #Staff
- Johns Hopkins University (Baltimore, MD)
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The Department of Electrical and Computer Engineering at Johns Hopkins University is seeking a **_Research Assistant_** to contribute to projects in computational imaging research, with a focus on algorithm development, machine learning, and computational modeling with applications to biomedicine. The position is limited to the summer term (three months).
**Specific Duties & Responsibilities** :
+ Assist with the development and implementation of machine learning models for medical and imaging data analysis.
+ Support algorithm design, optimization, and validation tasks, including work on neural networks, computer vision techniques, and structured data integration.
+ Contribute to research on advanced topics such as generative AI models, foundation models, and plug-and-play priors as applicable to computational imaging.
+ Perform data preprocessing, feature engineering, and result interpretation under faculty supervision.
+ Assist with manuscript preparation and documentation of research findings.
Minimum Qualifications
+ Bachelor's Degree in related discipline.
Preferred Qualifications
+ Master’s Degree in Biomedical Engineering from an accredited U.S. institution.
+ Proficiency in programming languages including Python, PyTorch, C, C++, and MATLAB, and familiarity with Linux environments.
+ Research experience in machine learning (especially generative AI), computer vision, or algorithm development with applications in computational imaging.
+ At least one peer-reviewed research publications in relevant fields such as machine learning, computer vision, or computational methods.
Classified Title: Research Assistant
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: M-F 8-5
FLSA Status: Non-Exempt
Department name: Dept of Electrical and Computer Engrg
Personnel area: Whiting School of Engineering
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
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