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# Researcher - Artificial Intelligence and Machine Learning

- **Company:** University of San Diego
- **Location:** San Diego, CA, United States
- **Salary:** $41,600.0 - $83,200.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Computer Engineering, Data Cleansing, Data Visualization, Python (Programming Language), MATLAB, Machine Learning, Signal Processing, Software Engineering, Feature Engineering, Deep Learning, Information Technology
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7e784df8fceb1b6a

## About the Role

* 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.

## Description

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., * 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.

Special Conditions of Employment:

Background check: Successful completion of a pre-employment background check.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.