Postdoctoral Fellow - 530119

Job no: 530119
Work type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Categories: Engineering/Computer Science, Research/Scientific

Pay Grade/Pay Range:  Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)


Department/Organization: 214251 - Electrical and Computer Eng


Normal Work Schedule: Monday - Friday 8:00am to 5:00pm


Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.


Additional Department Summary: The Department of Electrical and Computer Engineering at The University of Alabama is seeking candidates for a Postdoctoral position. Research interests and experience in the areas of power electronics, controls systems, and battery management systems.

Successful candidates will hold a Ph.D. degree in Electrical or Computer Engineering or a related field and demonstrate a record of academic achievement in research. Initial appointments are for one year, with renewal contingent availability of funding.


Required Department Minimum Qualifications: Ph.D. in Electrical and Computer Engineering or related field.

Candidates will need to have completed their Ph.D. or have it completed by the start of employment.


Skills and Knowledge: Strong knowledge and hands-on experience in power electronics, control systems, and battery management systems, including the design, development, testing, and validation of power electronic hardware (e.g., DC/DC converters, high-power systems, and electric vehicle applications). Experience with laboratory experimentation, hardware prototyping, system integration, instrumentation, and real-time control implementation is required.

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 is expected.


Preferred Qualifications: 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 (e.g., for SoC/SoH estimation, power allocation, or scheduling) is highly desired. Knowledge of robustness, uncertainty quantification, and basic cybersecurity considerations (e.g., data integrity, adversarial inputs, and secure control pipelines) in AI-enabled control systems is a plus.


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.

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Non-Exempt positions are posted a minimum of 3 days. Exempt positions are posted a minimum of 7 days.

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Equal Opportunity Statement

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 race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy, age, genetic or family medical history information, disability, protected veteran status, or any other legally protected basis, and will not be discriminated against because of their protected status. Applicants to and employees of this institution are protected under Federal law from discrimination on several bases.

Pay Transparency Policy Statement

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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