Postdoctoral Scholar

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process . Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

A Postdoctoral Scholar position is available in the School of Electrical Engineering and Computer Science at The Pennsylvania State University, University Park campus. Candidates with a background in one or more of the following areas are highly encouraged to apply: machine learning for electromagnetic and packaging problems that enables rapid design and optimization.

 

A Ph.D. in Electrical Engineering or a closely related field is required. The applicant will be involved in several research projects, as well as in supervision of research of graduate students.

Penn State’s College of Engineering strives to build a welcoming, inclusive, and supportive environment for students, staff, and faculty. We rely on the expertise, sensitivity, and commitment of an inclusive faculty to enhance diversity, seek equity, and create a welcoming environment within our community. We are committed to nurturing a learning and working environment that respects differences in culture, age, gender, race, ethnicity, physical ability, sexual orientation, and religious affiliation. In welcoming every candidate, we strive to meet the needs of professional families by actively assisting with partner-placement needs. We are inspiring change and impacting tomorrow.

The appointment will be for one year with a possibility of renewal. 

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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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