Assistant Professor, ML & Data Analytics for ISE

San José State University; San Jose (CA); On-site; USD 106,000 - 126,000; Full time

Benefits offered by this job

Competitive faculty benefits

On-site work at San José

Job summary

San José State University invites applications for a tenure-track Assistant Professor in Industrial and Systems Engineering. The department seeks candidates to advance machine learning and data analytics as applied to logistics and supply chains.

The department emphasizes hands-on learning, labs, and industry internships, serving about 150 undergraduates and 300 graduates. The candidate will teach, advise, and develop a research program while collaborating with industry partners and engaging in

Qualifications

• PhD in Industrial and Systems Engineering or related field.
• Record of scholarly activity.
• Demonstrated ability or potential to teach undergraduate and graduate students effectively.
• Awareness of and sensitivity to diverse student populations.

Responsibilities

• Teach undergraduate and graduate programs in ISE.
• Advise students in graduate programs (Industrial and Systems Engineering, Operational Analytics, or Engineering Management).
• Develop a research program in their field of interest.
• Strengthen ties between ISE and surrounding high‑tech industries and establish new connections with high tech companies.
• Participate in department and college committees and other activities connecting ISE to the College of Engineering and campus.
• Engage in shared governance through department/college/university committees and service assignments.
• Organize classes within the Canvas LMS.
• Demonstrate awareness and inclusion of a diverse student population through teaching materials and advisement.

Skills

Teaching ability or potential

Scholarly activity

Awareness of diverse student needs

Education

PhD in Industrial and Systems Engineering or related field

Job description

San José State University invites applications for a tenure-track Assistant Professor in Industrial and Systems Engineering. The department seeks candidates to advance machine learning and data analytics as applied to logistics and supply chains.

The department emphasizes hands-on learning, labs, and industry internships, serving about 150 undergraduates and 300 graduates. The candidate will teach, advise, and develop a research program while collaborating with industry partners and engaging in