Assistant Professor - Applied Data Science

Overview

Job no: 551693
Work type: Instructional Faculty – Tenured/Tenure-Track
Location: San José
Categories: Unit 3 - CFA - California Faculty Association, Tenured/Tenure-Track, Full Time, Faculty - Computer Science, On-site (work in-person at business location)

Position Rank and Title: Tenure-track Assistant Professor

School/Department Name: Applied Data Science

Compensation: Commensurate with qualifications, experience, and rank as established by the CSU Salary Schedule. Anticipated hiring academic year annual salary range: $110,000 - $120,000 annually.

Faculty employee benefits are very competitive for the higher education sector. See the CSU Employee Benefits Summary for details about the CSU’s excellent benefits package.

Target Start Date: August 5, 2026

Final date to receive applications: Review of applications to begin December 1st, 2025. The position remains open until filled (or recruitment canceled).

Position Description

The Department of Applied Data Science at San José State University is pleased to announce a search for a Tenure-track Assistant Professor in Applied Data Science beginning in August 2026. We are seeking candidates with expertise in areas such as Embodied AI, robot perception and control, robotics software systems, and multi-modal learning or Cyber Intelligence with a focus on advanced Machine Learning and AI techniques such as Secure AI to contribute to our interdisciplinary applied data science curriculum.

While all applications will be reviewed, priority will be given to candidates with expertise in the specified areas.

Successful applicants will be expected to teach courses in areas such as Embodied Artificial Intelligence, Autonomous Systems, Cyber Intelligence, Agentic Cybersecurity with a focus on advanced Machine Learning and AI techniques such as Secure AI and applications of AI in cybersecurity. Candidates will also be encouraged to engage in collaborative research that addresses real-world challenges involving intelligent agents, autonomous systems, cyber intelligence, and advanced cyber machine learning across various industries and societal domains.

Established in 2018, the Department of Applied Data Science prepares students to meet the growing demand for interdisciplinary talent in designing and deploying intelligent, data-driven solutions. We provide a strong foundation in the principles, methods, and technologies of data science and AI, guided by input from leading AI professionals and Silicon Valley companies to ensure industry relevance. Our MS in Applied Data Intelligence program equips students with the skills to extract insights from real data and solve practical challenges in today’s rapidly evolving AI and data economy.

Currently, more than 400 students are enrolled in this program, with continued plans for future growth. More than 150 Silicon Valley companies have hired our students for internships and permanent positions. We are expanding and building new degree programs in areas such as physical AI and cyber intelligence.

More information about the Department of Applied Data Science at San José State University can be found here. More information about the MS in Applied Data Intelligence program can be found here.

The Applied Data Science and San José State University value inclusive excellence and are committed to advancing equity through research, teaching, and service. We enroll nearly 40,000 students, many of whom are historically underserved; approximately 45% of our undergraduate students are first-generation college students and 38% are Pell Grant recipients. In addition, we are both a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander Serving Institution (AANAPISI).

SJSU aspires to create holistic learning environments that facilitate both individual and collective transformation. We seek teacher-scholars who cultivate inclusive, empowering spaces for mutual learning, skill-building, and knowledge exchange for all students. Our commitment to lifelong learning supports meaningful connections among faculty, staff, students, alumni, and the broader communities we serve.

We invite all applicants to…