Research Engineer - 530797
Job no: 530797
Work type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Categories: Engineering/Computer Science, Research/Scientific
Pay Grade/Pay Range: Minimum: $57,200 - Midpoint: $74,300 (Salaried E9)
Department/Organization: 214251 - Electrical and Computer Eng
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Job Summary: The Research Engineer uses fundamental concepts, practices, and procedures of a particular field of specialization to perform varied scientific research requiring application and adaptation of established techniques, procedures, and criteria. Evaluates, selects, and applies standard scientific techniques, procedures, and criteria to accomplish a variety of research assignments. Performs various research projects to include conducting experiments, writing research proposals, writing technical papers and research reports.
Additional Department Summary: Develops a system that includes hardware and control and management algorithms programing/software. The position will be developing, testing, and demonstrating power electronic systems hardware with power converters each with power levels that exceed 10 kW and/or voltages of up to 1000 V, advanced control of power electronic systems, analog-digital mixed power controllers for power electronic systems, electric vehicles fast chargers, and Lithium-Ion battery energy storage, but is subject to change.
Works on developing and testing/validating this system, use and maintain laboratory and its electrical and mechanical equipment and tools, prepare/write reports, and assist in lab management, maintenance and safety, etc. Laboratory safety responsibilities will include safe storage, use and disposal of batteries and other material, and providing safety supervision to users.
Required Minimum Qualifications: Bachelor's degree and two (2) years of research experience; OR master's degree and some research experience.
Skills and Knowledge: Knowledge in developing, testing, and demonstrating power electronic systems hardware with power converters each with power levels that exceed 10 kW and/or voltages of up to 1000 V, advanced control of power electronic systems, analog-digital mixed power controllers for power electronic systems, electric vehicles fast chargers, and Lithium-Ion battery energy storage. Excellent electrical and good mechanical skills. Ability to work collaboratively with faculty, staff, and students. Must be willing and able to learn additional skills that are needed for the project and remain proficient and up to date with the state-of-the-art technology to support the project. Knowledge in Artificial Intelligence (AI)/Machine Learning algorithms and hardware is preferred
Preferred Qualifications: Significant experience in one or more of the technical or research areas related to the project.
Experience with artificial intelligence and machine learning methods for energy systems, including data-driven modeling, real-time inference, and adaptive control. Familiarity with AI model training, validation, and deployment on embedded or edge platforms. Knowledge of data integrity, robustness, and basic cybersecurity considerations in AI-enabled control systems is a plus.
Must be willing and able to learn additional skills that are needed for the project and remain proficient and up to date with the state-of-the-art technology to support the project. The position continuity is subject to availability/continuity of external funding for the project.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.
Advertised: 06 Oct 2026 Central Daylight Time
Applications close: 31 Oct 2026 Central Daylight Time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10295130
- Position Id: 7fe7fdc36202c007b8c5257f79e9b14c
- Posted 13 days ago
