- Faculty – Engineering – Mechanical
- Faculty – Engineering – Electrical
Open Until Filled
University. The research objectives are to (1) develop machine learning algorithms to online detect faults and predict failures of
lithium-ion batteries and rotating machinery (e.g., motors, pumps, and rotor-bearing systems) and (2) assist in validating the data
analytics on Battery Management Systems (BMS) and Industrial Internet of Things (IIoT) hardware and software platforms. The duration of the
position is expected to be one year and may be renewable based on performance and availability of funding. The salary will be commensurate
with the prior research experience of the applicant.
Candidates should have a recent Ph.D.
in Mechanical Engineering, Electrical Engineering, or a related discipline. Applicants with experience in (1) fault diagnostics and failure
prognostics, (2) machine learning and deep learning, and/or (3) experimental/computational studies of lithium-ion batteries are highly
encouraged to apply. Particularly, prior research experience in one or more of the following areas are desired:
- Algorithm development
for machine learning and deep learning
- Algorithm development for fault diagnostics and failure prognostics
development for battery state estimation in BMS
- Computational modeling of lithium-ion cell designs and their
- Vibration analysis for diagnostics/prognostics of rotating
The postdoctoral associate will attend the weekly individual and group meetings,
mentor at least two Ph.D. students in the group, and facilitate close collaborations with companies specialized in battery materials design
and testing, IIoT and predictive maintenance. The postdoctoral associate will also publish the findings of his/her research in premier
journals, present his/her research in high-impact conferences, and participate in proposal writing. Only individuals who have a strong
desire to pursue an academic career are encouraged to apply.
The position is
available immediately. Applications will be processed as they arrive until the position is closed. Interested applicants should submit by
email (1) a cover letter that summarizes prior research experience and (2) a CV to Dr. Chao Hu, firstname.lastname@example.org.
Dr. Chao Hu
Department of Mechanical Engineering
Iowa State University
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status and will not be discriminated against. Inquiries can be directed to the Office of Equal Opportunity, 3410 Beardshear Hall, 515 Morrill Road, 515-294-7612, email email@example.com.
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