Assistant/Associate Professor — AI-Driven ME Design

Stanford University Department of Computer Science; Stanford (CA); On-site; USD 144,000 - 207,000; Full time

Benefits offered by this job

Housing assistance

Job summary

Stanford University's Department of Mechanical Engineering invites applications for a tenure-track faculty position at the Assistant, untenured Associate Professor, or tenured Associate Professor level. We seek outstanding candidates across all ME areas who will strengthen education and research, with focus on AI methods for design and advanced experimental techniques.

Applicants must have completed, or be completing, a Ph.D.

Qualifications

• Ph.D. in Mechanical Engineering or related field completed or near completion.
• Evidence of ability to pursue a research program and strong teaching commitment.
• Record of scholarly contributions with potential impact.

Responsibilities

• Develop and lead a vigorous research program in ME.
• Teach graduate and undergraduate courses and mentor Ph.D. students.
• Contribute to a diverse, inclusive department culture.

Skills

AI in ME

Experimental methods

Photonic techniques

High-throughput labs

Robotics/controls

Education

Ph.D. in Mechanical Engineering or related field

Tools

Mathematical modeling

Simulation

Python/Matlab

Job description

Stanford University's Department of Mechanical Engineering invites applications for a tenure-track faculty position at the Assistant, untenured Associate Professor, or tenured Associate Professor level. We seek outstanding candidates across all ME areas who will strengthen education and research, with focus on AI methods for design and advanced experimental techniques.

Applicants must have completed, or be completing, a Ph.D.