Part Time Lecturer-Computer Science

California State University SystemSan Jose, CA
34d$5,507 - $10,347Onsite

About The Position

The Department of Computer Science provides high-quality graduates to the technology industry. We offer Bachelor's degree programs in Computer Science, in Data Science, and in Computer Science and Linguistics (jointly with Dept. of Linguistics and Language Development or LLD). We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024). The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc. The Department enjoys rich interaction and collaboration with Silicon Valley. We have received a Best Practice Implementation Grant from the Center for Inclusive Computing to increase the representation of women and under-represented minorities in undergraduate computing. The Department of Computer Science and San José State University value diversity, equity, inclusion, and belonging. Our excellence in research, teaching, and service can only be fully realized by faculty, students, and staff who share our commitment to these values. SJSU enrolls more than 36,000 students, many of whom are historically underserved, and around 45% are first-generation and 38% are Pell-recipients. SJSU is a Hispanic Serving Institution (HSI) and Asian American and Native American Pacific Islander (AANAPISI) Serving Institution. The university's commitment to social justice extends from its vibrant, inclusive campus to an international network of over 275,000 alumni. As such, San José State is committed to increasing the diversity of its faculty so our disciplines, students, and the community can benefit from multiple ethnic and gender perspectives. Successful candidates will demonstrate evidence of a commitment to equity and inclusion through their research, teaching, and/or service. We ask that all applicants include a Diversity Statement with their application package. A guide to writing this statement can be found at SJSU Diversity Statement Guidelines, along with information about how these statements will be evaluated.

Requirements

  • The required minimum qualifications and experience vary for different ranks, as follows: L-A: MSc in computer science or a closely related field with minimum of two years of teaching experience. L-B: MSc in computer science or a closely related field with minimum of five years of professional experience including teaching; or Ph.D. in computer science or a closely related field. L-C: MSc in computer science or a closely related field with minimum of nine-years of professional experience including teaching; or Ph.D. in computer or science or a closely related field with minimum of five years of professional experience including teaching.
  • Applicants must have a strong commitment and demonstrate potential to teaching excellence, and a broad knowledge of computer science or data science. Demonstrated ability in written and oral use of the English language is required.
  • Ability to teach on the SJSU campus in late afternoon and evening hours as needed by the department.
  • Applicants should demonstrate an awareness of and sensitivity to the educational goals of a multicultutal population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.

Nice To Haves

  • Ph.D. in computer science or a closely related field.
  • Teaching experience at SJSU or similar institutes.

Responsibilities

  • Teach an equivalent of 15 weighted teaching units (WTUs) each semester (i.e., a full-time position) to be fulfilled through teaching courses (most are 3 WTUs) and administrative/service duties.
  • Demonstrate awareness of and address the needs of a student population of great diversity- including age, abilities, cultural background, ethnicity, religion, economic background, primary language, sexual orientation, gender identity, and academic preparation-through inclusive course materials, teaching strategies and advisement.
  • Faculty shall organize all their classes within the Canvas Learning Management System (LMS).
  • All classes must be offered and meet as scheduled throughout the entire semester or term, in the mode assigned and listed in the schedule of classes (i.e., in-person, synchronous, or hybrid).
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