Employment


PhD position in modeling of the interaction between phase transformations and plasticity

PhD position(s) is available immediately in the Engineering Mechanics program in Aerospace Engineering Department at Iowa State University to perform theoretical and computational part of work on NSF-funded projects on the interaction between phase transformations and plasticity. Phase-field, micromechanical, and macroscale simulations using FEM are of interest, in close collaboration with high-pressure experiments performed in our lab. Please send vita to Prof. Valery Levitas ( vlevitas@iastate.edu ).



Postdoc Researcher

A full-time postdoctoral researcher position is immediately available in the System Reliability and Safety Laboratory (SRSL) at Iowa State University.

The postdoc researcher will primarily contribute to a research project on machine learning for the state estimation and lifetime prediction of lithium-ion batteries. Another application domain of interest is the predictive maintenance of rotating machinery (e.g., motors, pumps, and rotor-bearing systems).

Below is a detailed description of this position.

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Applications are invited for one Postdoctoral Research Associate position in the Department of Mechanical Engineering at Iowa State 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.

Qualifications:

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
– Algorithm development for battery state estimation in BMS
– Computational modeling of lithium-ion cell designs and their degradation/lifetime
– Vibration analysis for diagnostics/prognostics of rotating machinery

Responsibilities:

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.

Applicant Information:

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, chaohu@iastate.edu.