Job no: 517918 Location: San José Compensation: Commensurate with qualifications and experience, and rank as established by the CSU Salary Schedule. See Benefits Summary for details about the CSU’s excellent employment benefits. Application Deadline: December 10, 2022 Target Start Date: August 17, 2023 First Review Date (or Closing Date): January 3, 2023
The Computer Engineering Department at San José State University (SJSU), http://cmpe.sjsu.edu/, invites applications for three tenure-track faculty positions at the rank of Assistant Professor. Areas of particular interest include computer architecture, embedded systems, robotics, computer vision, digital design, SOC and ASIC design, artificial intelligence and machine learning, human-computer interaction, cyber-physical systems, data analytics, data mining and big data, and software design, but other related areas will also be considered.
Located in the center of Silicon Valley, the Computer Engineering Department provides local and national high-tech companies with high quality, practice-oriented computer graduates. Bachelor’s degree programs are offered in computer engineering and software engineering. Master’s degree programs are offered in computer engineering, software engineering, and artificial intelligence. Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, and data mining. The department serves more than 2000 undergraduate and graduate students and provides its faculty and students with ample opportunities for close collaborative ties with industry and research partners in Silicon Valley.
SJSU is an Equal Opportunity Affirmative Action employer. We consider qualified applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity/expression, sexual orientation, genetic information, medical condition, marital status, veteran status, or disability.
It is the policy of SJSU to provide reasonable accommodations for applicants with disabilities who self-disclose.
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