AI for Translational Materials Processing — Tenure-Track

University of Missouri-Kansas City; Kansas City (MO); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

UMKC invites applications for a tenure-track Assistant Professor in AI-Enabled Critical Materials Processing and Circular Manufacturing. The appointment supports the NSF CMCE and UMKC’s growing capabilities in materials, advanced manufacturing, sustainability, and national security.

The successful candidate will build a translational program, collaborate with multiple disciplines, apply AI to real processing environments, mentor students, and teach within the SSE program.

Formación

• Doctorate in engineering, computer science, data science, applied mathematics, materials science, chemistry, or a closely related field.
• Evidence of excellent research potential.
• Clear plan for an externally funded program at the intersection of intelligent systems and critical-material translation.
• Commitment to teaching and mentoring.

Responsabilidades

• Develop an externally funded translational research program.
• Collaborate with materials scientists, chemists, engineers, computer scientists, statisticians, and industry partners.
• Apply AI and computational methods to real processing and manufacturing environments.
• Produce scholarly outputs and experimentally or industrially validated technologies.
• Contribute to CMC projects, shared research infrastructure, and regional industry partnerships.
• Mentor students and teach courses in an SSE program.

Conocimientos

Research potential

Externally funded program planning

Teaching and mentoring

Educación

Doctorate in engineering, computer science, data science, applied mathematics, materials science, chemistry, or closely related field

Descripción del empleo

UMKC invites applications for a tenure-track Assistant Professor in AI-Enabled Critical Materials Processing and Circular Manufacturing. The appointment supports the NSF CMCE and UMKC’s growing capabilities in materials, advanced manufacturing, sustainability, and national security.

The successful candidate will build a translational program, collaborate with multiple disciplines, apply AI to real processing environments, mentor students, and teach within the SSE program.