Employment


Academic Positions


Two Tenure-Track Assistant Professor Positions in Computer Engineering


The Department of Electrical and Computer Engineering in the College of Engineering at the University of California at Santa Barbara is seeking applications for two tenure-track, assistant professor positions in the field of Computer Engineering with an effective appointment date of July 1, 2019.

Applicants are expected to have a Ph.D. in Computer Engineering, Electrical Engineering, Computer Science or a related field by the time of appointment. Candidates should have an established research reputation or outstanding research potential, the ability to attract external research funding, and a strong commitment to teaching at the undergraduate and graduate levels.

Applicants with a wide range of interests in Computer Engineering are encouraged to apply. Research areas related to machine learning, alternative computing, computer systems and architectures are of particular interest. Prospective candidates who wish to pursue interdisciplinary research efforts are encouraged to apply. More information about the ECE Department can be found at https://www.ece.ucsb.edu/.

Completed applications will consist of a cover letter, CV, brief (2-page limit) statement of teaching philosophy, brief (2-page limit) statement of research interests, and arrange for three to four letters of reference; applicants may also choose to submit a statement of diversity contributions.

Completed applications received by January 4th, 2019 will be given priority consideration, but the position will remain open until filled. Applicants need to only apply once to be considered for both positions.

Applications must be submitted electronically at https://recruit.ap.ucsb.edu/apply/JPF01380

The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


Tenure Track in the Broad Area of Signal Processing and Communications


The Department of Electrical and Computer Engineering at the University of California at Santa Barbara is accepting applications for a tenure-track faculty position at the Assistant Professor level in the broad area of signal processing and communications, with an effective appointment date of July 1, 2019. The Department has particular (non-exclusive) interest in applicants with a depth of expertise in data science, machine learning, and related fields, along with broader interests and the ability to collaborate with faculty across disciplines.

Candidates should have an established research reputation or outstanding research potential, the ability to attract external research funding, and a strong commitment to teaching at the undergraduate and graduate levels. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

A Ph.D. in Electrical and Computer Engineering or a closely related field is required and expected by the time of appointment. Completed applications will consist of a cover letter, curriculum vitae, teaching statement (2-page limit), statement of research interests (3-page limit), and three letters of reference; applicants may also choose to submit a statement of diversity contributions.

Applications must be submitted electronically at https://recruit.ap.ucsb.edu/apply/JPF01357

Completed applications received by December 15, 2018 will be given priority consideration, but the position will remain open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.