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Assistant Professor - Applied Data Science

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: San Jose State University
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
  • Education / Teaching
    Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 120000 USD Yearly USD 110000.00 120000.00 YEAR
Job Description & How to Apply Below

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.

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 Jose 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.

We invite all applicants to include a Statement of Inclusive Excellence (or incorporate it into your cover letter) to share how your lived and professional experiences will contribute to the SJSU community—particularly in relation to student success and inclusive education. A guide to writing this statement can be found at SJSU Institutional Excellence Statement Guidelines.

Required Qualifications
  • An earned doctorate in computer science, data science, computer engineering or related fields by the start of appointment.
  • Demonstrated potential for scholarly and professional achievement.
  • Demonstrated potential for teaching and/or training effectiveness.
  • Applicants should demonstrate an awareness of and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
Preferred Qualifications
  • Ability to teach courses in Embodied AI (e.g., multi-modal learning, real-time perception and control, sensor fusion, reinforcement learning, simulation environments) or Trustworthy and Secure AI (e.g., explainable AI, adversarial robustness, privacy-preserving techniques).
  • The ability to teach courses to students with diverse academic and professional backgrounds.
  • Industry experience in applied data science, AI, robotics, or related technologies, particularly with Silicon Valley companies or similar innovation ecosystems.
  • The potential to jointly develop applied research projects in emerging AI and data science fields with Silicon Valley companies.
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