Researcher - Artificial Intelligence and Machine Learning
Indexed description
Position Status: Full-time temporary, Part-time temporary
Location: San Diego
Position Type: Staff, Shiley-Marcos School of Engineering
Position Title & Department
Researcher - Artificial Intelligence and Machine Learning; School of Engineering Posting #
5708
Department Description
The University of San Diego's Shiley-Marcos School of Engineering does more than develop world-class engineers and computer scientists in a nationally recognized program. We help these bright minds develop into Changemakers with the global perspective, social awareness and leadership skills to make a difference in the world.
University Description
The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity’s urgent challenges.
Detailed Description
This is a full-time or part-time temporary, benefit-based or non-benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.
The University of San Diego’s Department of Electrical Engineering is seeking a researcher to contribute to an NSF-funded project focused on data-centric artificial intelligence (AI) and wearable biosensors for enhancing student learning, engagement, and stress management.
The project combines wearable physiological sensing with machine learning and data-centric AI methods to develop reliable models of student engagement and stress and ultimately provide meaningful, data-driven insights for educators.
The researcher will work closely with the Principal Investigator, Dr. Nadieh Moghadam, and other members of the research team.
Duties And Responsibilities
- Processing and analyzing physiological signals from wearable biosensors, including heart rate and electrodermal activity (EDA).
- Developing, implementing, and evaluating machine learning and AI models using public and project-generated datasets.
- Applying data-centric AI techniques, including data cleaning, feature engineering, augmentation, and multimodal data analysis.
- Evaluating and working with wearable sensing technologies.
- Supporting development and evaluation of an adaptive application for translating AI results into actionable insights for instructors.
- Support human-subject research activities, including participant recruitment, wearable biosensor deployment, physiological data collection during classroom studies, and organization and analysis of collected data in accordance with the approved IRB protocol.
- Conducting literature reviews and documenting research methods and results.
- Contributing to research publications, presentations, and dissemination of project findings.
- Collaborating with undergraduate researchers and other members of the research team.
Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.
Job Requirements
Minimum Qualifications:
- Bachelor’s degree or higher in Electrical/Computer Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field.
- Programming experience in Python, MATLAB, or similar environments.
- Background or demonstrated interest in machine learning, artificial intelligence, signal processing, or data analysis.
- Strong analytical, communication, and problem-solving skills.
- Ability to work independently and collaboratively within a research team.
- Experience with machine learning/deep learning frameworks.
- Experience analyzing physiological or time-series data.
- Familiarity with wearable sensors, biosignal processing, or data-centric AI.
- Experience with app/software development or data visualization.
- Previous research experience and/or scholarly publications.
The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.
Special Application Instructions
Resume and Cover Letter Required
Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers’ review. If you have any questions or difficulties please contact the Employment Services Team at [email protected].
Additional Details
Hours: 19 - 37.5 hours per week, depending on full-time or part-time status
Closing date: Open until filled
Note: External job postings will be up for at least three days. After that time, applications will be reviewed by the hiring manager/committee throughout the posting period. A candidate may be selected at any time which could then close this posting on a date earlier than listed.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.
Advertised: September 04, 2026 Pacific Daylight Time
Applications close: Open until filled
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