Assistant Professor, Digital Systems & AI Hardware

Ajcunet

Santa Clara, Northern (CA, KY)

Hybrid

USD 117,000 - 130,000

Full time

13 days ago

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Job summary

Santa Clara University’s Department of Electrical and Computer Engineering invites applications for a tenure-track Assistant Professor position in Digital Systems to start Fall 2027. We seek candidates in embedded/cyber-physical systems, computer architecture, AI hardware, and related digital electronics areas.

The candidate will teach undergraduate and graduate courses, develop curricula, mentor students, and collaborate with Silicon Valley industry partners to advance research and education

Qualifications

  • A Ph.D. in electrical and computer engineering or a closely related field by appointment start date.
  • A demonstrated research track record or strong research potential, including high-quality journal publications.
  • A commitment and demonstrated potential to teach at both the undergraduate and graduate levels and to engage in curriculum development.
  • A commitment to contribute to a diverse and inclusive academic culture.

Responsibilities

  • Developing a productive research program that engages students and produces high-quality publications.
  • Teaching undergraduate and graduate courses in areas of specialization, as well as lower division fundamental courses; curriculum development at the undergraduate and graduate level.
  • Service to the Department, School, University, and the profession.

Skills

Research track record
Teaching undergraduate & graduate
Curriculum development
Diversity & inclusion
Interdisciplinary collaboration

Education

Ph.D. in electrical and computer engineering or closely related field

Job description

Santa Clara University’s Department of Electrical and Computer Engineering invites applications for a tenure-track Assistant Professor position in Digital Systems to start Fall 2027. We seek candidates in embedded/cyber-physical systems, computer architecture, AI hardware, and related digital electronics areas.

The candidate will teach undergraduate and graduate courses, develop curricula, mentor students, and collaborate with Silicon Valley industry partners to advance research and education

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