Open Rank Faculty Position in Smart Manufacturing

stanford•Palo Alto, CA

2d•Onsite

About The Position

The School of Engineering at Stanford University is seeking applicants for an all-ranks faculty position in Smart Manufacturing. This role is open to candidates at the assistant, associate, or full professor level, with the primary department to be determined within the School of Engineering. The position focuses on the transformation of manufacturing through advancements in sensing, autonomy, materials science, data infrastructure, AI, optimization, and human-machine collaboration. These technologies are reshaping product design, production, monitoring, and improvement, bridging the digital and physical realms. This shift enables new levels of automation, adaptability, and sustainability across manufacturing lifecycles, from unit processes to supply networks, fostering cross-disciplinary collaboration. The search invites applications from individuals researching Smart Manufacturing, broadly defined to include advanced and additive manufacturing, in-situ sensing and closed-loop process control, AI-driven design and defect detection, digital twins, robotics and automation, cyber-physical production systems, industrialized construction, sustainable and circular manufacturing, and data-driven operations and supply chains. Research can be conducted within any engineering discipline. Successful candidates are expected to conduct world-class research with real-world impact (or demonstrate potential for it for junior candidates), be educational leaders in advanced manufacturing, and effectively communicate the role of advanced and smart technologies in shaping the future of manufacturing, including societal impacts.

Requirements

Completed, or be completing, a Ph.D. in the advertised field or a closely related one.
Evidence of the ability to pursue a program of research.
A strong commitment to graduate and undergraduate teaching.

Nice To Haves

Research in Smart Manufacturing, broadly defined to include topics such as advanced and additive manufacturing, in-situ sensing and closed-loop process control, AI-driven design and defect detection, digital twins, robotics and automation, cyber-physical production systems, industrialized construction, sustainable and circular manufacturing, and data-driven operations and supply chains.
Ability to conduct research within any engineering discipline.
Demonstrated potential to achieve real-world impact (for junior candidates).
Ability to become an educational leader in advanced manufacturing topics.
Ability to effectively communicate the role of advanced and smart technologies in shaping the future of manufacturing, including considering its broader societal impacts.
Ability to help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience further these values.

Responsibilities

Conduct world-class research and translate results into real-world impact.
Be an educational leader in advanced manufacturing topics.
Effectively communicate the role of advanced and smart technologies in shaping the future of manufacturing, including broader societal impacts.
Teach courses at the graduate and undergraduate levels.
Build and lead a team of graduate students in Ph.D. research.
Help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds and perspectives.