Postdoctoral Fellow - Electrical and Computer Eng - 530831

The University of Alabama • Tuscaloosa, AL

8d • $54,000 - $67,500

About The Position

The Postdoctoral Fellow provides an opportunity for continued scholarly activity and research after the completion of a Ph.D. or other doctoral degree. The fellow works under the direction of a senior faculty member who serves as a mentor.

The Electrical and Computer Engineering Department at The University of Alabama seeks a postdoctoral fellow with interests and experience in power electronics, control systems, and battery management systems. The role involves research and hands-on work in the design, development, testing, and validation of power electronic hardware, as well as laboratory experimentation, prototyping, system integration, instrumentation, and real-time control implementation.

The initial appointment is for one year. Renewal is contingent on the availability of funding. Candidates must have completed a Ph.D. in Electrical or Computer Engineering or a closely related field, or complete the degree by the start of employment.

Requirements

• Ph.D. in Electrical or Computer Engineering or a closely related field, completed by the start of employment.
• Strong knowledge and hands-on experience in power electronics, control systems, and battery management systems.
• Experience with laboratory experimentation, hardware prototyping, system integration, instrumentation, and real-time control implementation.
• Demonstrated ability to develop and validate control algorithms, perform data acquisition and analysis, and work with embedded systems and digital controllers.
• Familiarity with modeling, simulation, and experimental validation of energy systems.
• Record of academic achievement in research.
• Successful completion of a pre-employment background investigation, including review of information from social media and other internet sources.

Nice To Haves

• Experience with artificial intelligence and machine learning for energy systems, including data-driven modeling, real-time inference, and integration of AI with control systems.
• Familiarity with training, validation, and deployment of AI models, such as for SoC/SoH estimation, power allocation, or scheduling.
• Knowledge of robustness, uncertainty quantification, and basic cybersecurity considerations in AI-enabled control systems, including data integrity, adversarial inputs, and secure control pipelines.

Responsibilities

• Conduct scholarly activity and research under the direction of a senior faculty mentor.
• Design, develop, test, and validate power electronic hardware, including DC/DC converters, high-power systems, and electric-vehicle applications.
• Conduct laboratory experimentation, hardware prototyping, system integration, and instrumentation.
• Implement real-time control and develop and validate control algorithms.
• Perform data acquisition and analysis and work with embedded systems and digital controllers.
• Model, simulate, and experimentally validate energy systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree