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Research Assistant

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Sdsu Research Foundation
Full Time position
Listed on 2026-09-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 17 - 20 USD Hourly USD 17.00 20.00 HOUR
Job Description & How to Apply Below

Overview

This position has been budgeted for $17.75 per hour and is non-negotiable.

Established in 1943, the mission of the SDSU Research Foundation (SDSURF) is to support the research objectives of San Diego State University by helping faculty and staff find, obtain, and administer funding for their research and sponsored programs. SDSU achieved its strategic plan goal of becoming an R1, premier public research university in early 2025 furthering discoveries, interventions, and solutions that improve communities and change the world.

SDSURF provides the full life cycle of grants services to faculty and staff to further their important work.

Our vision is to foster a culture of creativity and collaboration with integrity and respect for individuals that results in the delivery of superior service to support the university’s strategic aspirations.

Our core values:

Service:
We are a service organization that strives to provide superior support to the university community to achieve SDSU’s goals; we are committed to being professionally competent by setting high standards and working hard to achieve results; and we continually seeking to improve our skills and capabilities by valuing education and professional development.

Collaboration:

We seek to actively engage with our stakeholders and employees to identify issues and design solutions, build strong relationships grounded in trust, openness, and inclusion and achieve the best results by taking pride in the accomplishments of our colleagues.

Innovation:
We work towards inspired solutions to improve and adapt to emerging opportunities and challenges, creative ways to streamline and enhance our delivery of services through resourceful and proactive problem solving and strategic use of technology and reduction of obstacles.

Respect:
We promote a culture where every individual is valued and treated with dignity, we honoropen-mindedness toward different viewpoints and ideas and have a genuine appreciation for varied backgrounds, experiences, and ways of thinking.

Integrity:
We are committed to act with the highest ethical standards, with honesty, integrity, and transparency, provide consistent and accurate information and value and respect all individuals.

FUNCTION OF THE UNIT

The Manufacturing Intelligence Lab (MIL) in the Department of Mechanical Engineering at San Diego State University conducts fundamental and applied research in smart and autonomous manufacturing. The lab focuses on the development and integration of advanced manufacturing technologies, including artificial intelligence and machine learning, multimodal sensing and sensor fusion, physics-informed AI, agentic AI, edge AI, digital twins, machine vision, and manufacturing process monitoring and optimization.

PURPOSE

OF THE POSITION

The Employee will conduct machine learning and AI research for smart and autonomous manufacturing, with a primary focus on manufacturing data analytics, condition monitoring, anomaly detection, predictive modeling, and AI model development and deployment. The Employee will also support the development of data processing pipelines, MLOps frameworks, and integration of AI models with manufacturing systems, with applications in machining and other advanced manufacturing processes.

Responsibilities

Manufacturing Data Processing and AI/ML Model Development 40%:

  • Develop data-processing and analysis pipelines for manufacturing data, including sensor, machine, process, and quality data.
  • Clean, preprocess, synchronize, and organize datasets for machine-learning applications.
  • Develop, train, evaluate, and refine machine-learning models for condition monitoring, anomaly detection, process-state prediction, and other manufacturing intelligence applications.
  • Evaluate model…
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