CA

PhD in AI
On-Campus

University of California, Riverside

PhD in Electrical Engineering – Intelligent Systems

  • Riverside
About This Program

This doctoral program focuses on advanced research in intelligent systems that can sense, reason, and act in real-time within complex environments like smart grids.

Student Reviews
Write a Review
What You'll Learn

Students master theoretical optimization, control, and machine learning while developing expertise in computer vision, robotics, and signal processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The research-focused curriculum includes a minimum of nine graduate courses, a preliminary exam, and a significant original thesis in a specialized area.
Typical Course Topics
1. Advanced Control Systems and Automation 2. Machine Learning for Intelligent Systems 3. Embedded Systems Design and Optimization 4. Signal Processing and Sensor Fusion 5. Robotics and Autonomous Systems 6. Digital System Architecture and VLSI Design
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically hold a bachelor's degree in electrical engineering or a closely related field with a strong GPA (3.5+). A master's degree in electrical engineering is preferred but not always required; applicants should demonstrate research experience, strong mathematical foundations, and clear research interests aligned with intelligent systems.
Academic Requirements (Typical)

• Degree Required: PhD in Electrical Engineering
• GRE: Required (Quantitative score typically 155+)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Research proposal or statement of research interests: Often required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Drive advanced AI Research Scientist in Engineering AI through machine learning

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Electrical Engineer (PhD level): $115,000 Robotics Engineer: $108,000 Control Systems Engineer: $105,000 AI/Machine Learning Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
7.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Research Scientist in Robotics and Autonomous Systems 2. Controls Engineer for Industrial Automation 3. Machine Learning Engineer for Embedded Systems 4. Academic Researcher or University Faculty Member
Top AI Employers (Industry-Wide):
Top employers include Tesla, Boston Dynamics, Lockheed Martin, NASA, defense contractors, major technology firms like Google and Microsoft, and leading robotics and automation companies.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 21,024
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
Request Information