San José State University
Assistant Professor - Applied Data Science
San José State University, San Jose, California, United States, 95199
Overview
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Assistant Professor - Applied Data Science
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San José State University . Position details
Position Rank and Title:
Tenure-track Assistant Professor School/Department:
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. Target Start Date:
August 5, 2026 Application Deadline:
Review of applications to begin December 1, 2025. The position remains open until filled (or recruitment canceled).
Position Description
The Department of Applied Data Science at San José State University seeks a Tenure-track Assistant Professor in Applied Data Science beginning August 2026. We seek 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. Priority will be given to candidates with expertise in these areas. Responsibilities include teaching courses in Embodied Artificial Intelligence, Autonomous Systems, Cyber Intelligence, and Agentic Cybersecurity with a focus on advanced Machine Learning and AI techniques and AI applications in cybersecurity. Applicants are expected to engage in collaborative research addressing real-world challenges across industries and societal domains. Established in 2018, the department prepares students to meet demand for interdisciplinary talent in intelligent, data-driven solutions. Our MS in Applied Data Intelligence equips students to extract insights from real data and solve practical challenges in today’s AI and data economy. We are expanding and building new degree programs in areas such as physical AI and cyber intelligence.
Qualifications
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. Awareness of and sensitivity to the educational goals of a socially and economically diverse student population, gained through cross-cultural study, training, teaching, or comparable experience. Preferred Qualifications Ability to teach 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). Ability to teach 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 ecosystems. Potential to jointly develop applied research projects in emerging AI and data science fields with Silicon Valley companies.
Key Responsibilities
Teach courses in AI and applied technologies. Engage in scholarly activities: research, presenting papers, publishing in peer‑reviewed journals, and developing grants. Participate in shared governance and service on department, college, and university committees. Manage classes within the Canvas Learning Management System (LMS). Demonstrate awareness of the needs of a diverse student population through inclusive course materials, teaching strategies, and advisement.
Equal Opportunity and Additional Information
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, with a diverse student body. We invite applicants to include a Statement of Inclusive Excellence (or incorporate it into the cover letter). A guide to writing this statement can be found at SJSU Inclusive Excellence Statement Guidelines. Application Procedure Click Apply Now to complete the SJSU Online Employment Application and attach: letter of interest, curriculum vitae, inclusive excellence statement, statement of teaching interests/philosophy, research plans, and contact information for three references. Inquiries may be directed to Dr. Simon Shim, Department Chair, at simon.shim@sjsu.edu.
Conditions of Employment
The work for this faculty position may only be performed in the State of California and requires establishing an on-campus presence. Employment is contingent upon US residence and eligibility to work in the United States. Satisfactory completion of a background check is required. A conditional offer may be rescinded if the background check reveals disqualifying information or if information is knowingly withheld or falsified.
University Information
San José State University is located in Silicon Valley and is part of the CSU system. We are committed to equal employment opportunity and do not discriminate on the basis of any protected status. Reasonable accommodations are provided for applicants with disabilities.
Note: This reformatted description preserves the core content while removing extraneous boilerplate and ensuring all formatting uses only allowed tags.
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Join to apply for the
Assistant Professor - Applied Data Science
role at
San José State University . Position details
Position Rank and Title:
Tenure-track Assistant Professor School/Department:
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. Target Start Date:
August 5, 2026 Application Deadline:
Review of applications to begin December 1, 2025. The position remains open until filled (or recruitment canceled).
Position Description
The Department of Applied Data Science at San José State University seeks a Tenure-track Assistant Professor in Applied Data Science beginning August 2026. We seek 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. Priority will be given to candidates with expertise in these areas. Responsibilities include teaching courses in Embodied Artificial Intelligence, Autonomous Systems, Cyber Intelligence, and Agentic Cybersecurity with a focus on advanced Machine Learning and AI techniques and AI applications in cybersecurity. Applicants are expected to engage in collaborative research addressing real-world challenges across industries and societal domains. Established in 2018, the department prepares students to meet demand for interdisciplinary talent in intelligent, data-driven solutions. Our MS in Applied Data Intelligence equips students to extract insights from real data and solve practical challenges in today’s AI and data economy. We are expanding and building new degree programs in areas such as physical AI and cyber intelligence.
Qualifications
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. Awareness of and sensitivity to the educational goals of a socially and economically diverse student population, gained through cross-cultural study, training, teaching, or comparable experience. Preferred Qualifications Ability to teach 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). Ability to teach 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 ecosystems. Potential to jointly develop applied research projects in emerging AI and data science fields with Silicon Valley companies.
Key Responsibilities
Teach courses in AI and applied technologies. Engage in scholarly activities: research, presenting papers, publishing in peer‑reviewed journals, and developing grants. Participate in shared governance and service on department, college, and university committees. Manage classes within the Canvas Learning Management System (LMS). Demonstrate awareness of the needs of a diverse student population through inclusive course materials, teaching strategies, and advisement.
Equal Opportunity and Additional Information
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, with a diverse student body. We invite applicants to include a Statement of Inclusive Excellence (or incorporate it into the cover letter). A guide to writing this statement can be found at SJSU Inclusive Excellence Statement Guidelines. Application Procedure Click Apply Now to complete the SJSU Online Employment Application and attach: letter of interest, curriculum vitae, inclusive excellence statement, statement of teaching interests/philosophy, research plans, and contact information for three references. Inquiries may be directed to Dr. Simon Shim, Department Chair, at simon.shim@sjsu.edu.
Conditions of Employment
The work for this faculty position may only be performed in the State of California and requires establishing an on-campus presence. Employment is contingent upon US residence and eligibility to work in the United States. Satisfactory completion of a background check is required. A conditional offer may be rescinded if the background check reveals disqualifying information or if information is knowingly withheld or falsified.
University Information
San José State University is located in Silicon Valley and is part of the CSU system. We are committed to equal employment opportunity and do not discriminate on the basis of any protected status. Reasonable accommodations are provided for applicants with disabilities.
Note: This reformatted description preserves the core content while removing extraneous boilerplate and ensuring all formatting uses only allowed tags.
#J-18808-Ljbffr