Researcher - Artificial Intelligence and Machine Learning

University of San Diego; San Diego (CA); On-site; USD 28,000 - 55,000; Full time

Benefits offered by this job

Benefits package

On-campus Fitness Centers

Job summary

The University of San Diego’s Shiley-Marcos School of Engineering is seeking a Researcher to contribute to an NSF-funded project on data-centric AI and wearable biosensors that enhance student learning, engagement, and stress management.

You will work with Dr. Nadieh Moghadam and a multidisciplinary team to build models, analyze physiological data, and translate AI results into actionable educator insights.

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, AI, signal processing, or data analysis.
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently and collaboratively within a research team.

Responsibilities

• Process and analyze physiological signals from wearable biosensors (heart rate, EDA).
• Develop, implement, and evaluate machine learning and AI models using datasets.
• Apply data-centric AI techniques: data cleaning, feature engineering, augmentation, multimodal analysis.
• Evaluate wearable sensing technologies.
• Support development of an adaptive application translating AI results for instructors.

Skills

Python

MATLAB

Machine learning

Data analysis

Education

Bachelor or higher in Electrical/Computer Engineering, CS, Data Science, Biomedical Engineering

Job description

Researcher - Artificial Intelligence and Machine Learning

Posting #5708

Location: San Diego
Position Status: Full-time temporary, Part-time temporary
Position Type: Staff, Shiley-Marcos School of Engineering

Position Title & Department: Researcher - Artificial Intelligence and Machine Learning; School of Engineering

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 awarenessand 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.

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.

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.

Preferred Qualifications:

• 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.

$20.00 - $40.00 per hour; Part-time: Non-Benefit Based / Full-time: Excellent Benefits
The University of San Diego offers a very competitive benefits package including; medical, dental, vision, a retirement contribution given to you by the University, and access to on-campus Fitness Centers. Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer. USD: Human Resources: Benefits

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.

Resume and Cover Letter Required

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 [e-mail].

Hours: 19 - 37.5 hours per week, depending on full-time or part-time status

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

Notice of Availability: In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery Act), the Annual Security and Fire Safety Report is available at www.sandiego.edu/safety/documents/annualreport.pdf . This report is published by October 1st of each year and includes current institutional policies and procedures concerning campus safety and security; fire safety and evacuation policies; sexual misconduct and relationship violence reporting and response stands and protocols; and crime and fire statistics for the three previous calendar years. To request a paper copy, please contact the Clery Act Compliance Manager via email at [e-mail] , by calling [phone], or in-person in the Hughes Administration Center, room 150.