Postdoctoral Scholar-Sengupta Group

The Pennsylvania State University • University Park, FL

2d

About The Position

The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design automation problems. The work will involve research on machine learning, digital twins, electronic design automation efforts working in collaboration with other research groups. Necessary experience and background - Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design automation is highly desired. The postdoc will have the opportunity to mentor graduate and undergraduate students. Guidance will be provided toward writing research grants and publications. This is a term appointment funded for one year from date of hire with possibility of renewal for additional year(s). The duration of this position is one year, 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.

Requirements

• Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date.

Nice To Haves

• Prior background in machine learning, digital twins and electronic design automation is highly desired.

Responsibilities

• Work on using machine learning tools for electronic design automation problems.
• Research on machine learning, digital twins, electronic design automation efforts working in collaboration with other research groups.
• Mentor graduate and undergraduate students.
• Writing research grants and publications.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees