Job Description
A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical Engineering Department at The Pennsylvania State University. This position involves the development and application of numerical analysis approaches using Machine Learning based multi-physics tools for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H. Werner. The objective of this work will be to support a large multidisciplinary team effort focused on the design, modeling, and fabrication of advanced RFIC Phased Array Antenna Systems (Ka-Band and W-Band) and associated Power Converters. The postdoctoral scholar is expected to work in a highly collaborative environment in which electrical engineers, mechanical engineers, material/data scientists, and thermal engineers will collaborate to develop the next generation of microelectronics manufacturing.
Requirements
Applicants must have a PhD in electrical engineering by the start date with a strong focus in electromagnetics. The candidates must have expertise in computational electromagnetics, RFIC phased array antenna design, and machine learning.
This is a term appointment funded for one year from the date of hire, with additional years of funding available if there is mutual interest. To apply, please submit an online application, a CV, and contact information of three references.
Penn State is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
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Employment with the University will require successful completion of background check(s) in accordance with University policies.
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