Open Rank Faculty Position in Computer Science and Engineering - Artificial Intelligence/Machine Learning

The Department of Computer Science and Engineering at the University of California, Riverside invites applications for multiple open-rank faculty positions. This advertised position is for open-rank faculty lines in areas of (a) Artificial Intelligence/Machine Learning (b) Computer Graphics, (c) Computer Architecture, and (d) Programming Languages.

The Computer Science and Engineering Department currently has over 40 faculty members, including multiple ACM/IEEE/AAAS Fellows and significantly, 21 Young Investigator/NSF CAREER award holders, who pride themselves in combining top-quality teaching with cutting-edge research. The research projects in the department are funded by federal (NSF, NIH, DoD) or industrial sponsors. The department offers five undergraduate degrees, as well as MS and Ph.D. degrees in Computer Science, with over 170 Ph.D. students currently enrolled. The department is currently ranked 29th on csrankings.org. Information regarding the department is available at http://www.cs.ucr.edu.

The Marlan and Rosemary Bourns College of Engineering is a well-established, rapidly growing college at UCR. Ranked in the top 50 best public research universities for engineering by U.S. News & World Report, BCOE has over 140 faculty members, more than 3,700 undergraduate students, 1,100 graduate students, and more than $44 million in total annual research expenditures. The college has five departments, 11 undergraduate degree programs, 10 graduate degree programs, and 11 research centers.

Successful candidates will have a proven record of, or exceptional promise for, developing a vibrant externally-funded research program and developing a portfolio of high-quality teaching at the undergraduate and graduate levels. UC Faculty are expected to maintain an active research agenda and record of publications; teach a regular course load at both the undergraduate and graduate levels; and participate in service activities at the department, college, campus, and professional levels. Candidates will be expected to support existing and new cross-cutting efforts relevant to their expertise.

Appointments are expected to begin on July 1, 2025. Salary will be commensurate with education and experience. Candidates must have met the requirements for the Ph.D. by the time of appointment. Advancement through the faculty ranks at the University of California is through a series of structured, merit-based evaluations, occurring every 2-3 years, each of which includes substantial peer input.

The posted UC salary scales set the minimum pay determined by rank and/or step at appointment. See Table(s) 3 at https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t3.pdf. The salary range for this position is $103,700 - $224,900. "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions. See the campus compensation page for additional information at https://academicpersonnel.ucr.edu/compensation.

To apply for the position interested individuals are required to submit a cover letter, an updated curriculum vitae, three letters of reference or contact information for three references, a Statement of Teaching, a Statement of Research, and a Contribution to Diversity Statement to the AP Recruit website. The website for the Artificial Intelligence and Machine Learning position is at: https://aprecruit.ucr.edu/JPF01999, the website for the Computer Graphics position is at: https://aprecruit.ucr.edu/JPF02000, the website for the Computer Architecture position is at https://aprecruit.ucr.edu/JPF02001, and the position for the Programming Languages position at https://aprecruit.ucr.edu/JPF02002. Candidates should submit their application on the proper website so that their application is properly assessed. Inquiries should be directed to search@cs.ucr.edu.

The review of applications will begin on December 1, 2024, and applications received by this date will be given full consideration. However, applications received beyond this date may be reviewed until the position(s) are filled. For more information regarding the specific areas of interest and application procedures, please visit http://www.engr.ucr.edu/hireme.

Department: https://www1.cs.ucr.edu/

Applicants must have met the requirements for the PhD in Computer Science and Engineering or a closely related field by time of appointment.

The University of California, Riverside is a world-class research university with an exceptionally diverse undergraduate student body. UCR is a member institution of the American Association of Universities (AAU) as well as the Alliance of Hispanic Serving Research Universities (HSRU). Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification.

Position title: Assistant Professor

Please submit a cover letter, most recently updated curriculum vitae, three reference letters, a Statement of Teaching, a Statement of Research, and a Contribution to Diversity Statement to the UC Recruit website at https://aprecruit.ucr.edu/JPF01999

• 3-5 letters of reference required

Please provide three reference letters.

Position title: Associate and Full Professor

Please submit a cover letter, most recently updated curriculum vitae, contact information for three references, a Statement of Teaching, a Statement of Research, and a Contribution to Diversity Statement to the UC Recruit website at https://aprecruit.ucr.edu/JPF01999

• 3-5 required (contact information only)

Please provide the contact information for three references.

The University of California, Riverside is a world-class research university with an exceptionally diverse undergraduate student body. UCR is a member institution of the American Association of Universities (AAU) as well as the Alliance of Hispanic Serving Research Universities (HSRU). Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status.

For the University of California policies on Affirmative Action, Anti-Discrimination, and Sexual Violence and Sexual Harassment Policy, see below.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, State, or local government directives may impose additional requirements.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.

For the University of California's Violence and Sexual Harassment Policy please visit:

https://policy.ucop.edu/doc/4000385/SVSH.

For the University of California's Affirmative Action and Nondiscrimination in Employment Policy please visit: https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy for Employees, Students, and Third Parties, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.