AI-Driven Materials Discovery & Design—Tenure-Track 2026

University of Pennsylvania; United (PA); Vor Ort; USD 90.000 - 150.000; Vollzeit

Zusammenfassung

The Department of Materials Science and Engineering at the University of Pennsylvania invites applications for tenure-track faculty whose research aligns with Penn Engineering's strategic plan.

We welcome candidates from experimental or computational materials research who integrate AI/ML, data science, and materials computation to advance discovery, synthesis, and applications in electronic, structural, sustainable, and energy materials.

Qualifikationen

• Ph.D. in Materials Science and Engineering or related disciplines.
• Strong background in experimental or computational materials research.
• Ability to integrate AI, ML, data science into materials discovery.

Aufgaben

• Advance tenure-track research aligning with Penn Engineering's strategic plan.
• Collaborate within Penn Engineering and across the university.
• Mentor students and contribute to interdisciplinary collaborations.

Kenntnisse

AI/ML in materials

Data science

Materials computation

Ausbildung

Ph.D. in Materials Science and Engineering

Jobbeschreibung

The Department of Materials Science and Engineering at the University of Pennsylvania invites applications for tenure-track faculty whose research aligns with Penn Engineering's strategic plan.

We welcome candidates from experimental or computational materials research who integrate AI/ML, data science, and materials computation to advance discovery, synthesis, and applications in electronic, structural, sustainable, and energy materials.