Postdoctoral Fellow, Materials Chemistry: AI-Driven Discovery

University of Texas at Austin; Austin (TX); Vor Ort; USD 52.000 - 70.000; Vollzeit

Benefits dieser Stelle

Tuition assistance

Library access

Employee benefits package

Professional development opportunities

Zusammenfassung

The University of Texas at Austin invites applications for a Postdoctoral Fellow in Materials Chemistry at the Texas Materials Institute, Cockrell School of Engineering. The successful candidate will lead research on high-throughput synthesis and discovery of functional materials.

This role emphasizes electrocatalysis or battery-related systems, autonomous experimentation, and collaboration with a multidisciplinary team to advance data-driven materials discovery.

Qualifikationen

• Ph.D. in Materials Science, Engineering, Physics, Chemistry, or closely related field.
• Demonstrated independent research in materials science or engineering.
• Strong publication record in peer‑reviewed journals.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in an interdisciplinary environment.

Aufgaben

• Develop and optimize high-throughput and combinatorial synthesis workflows.
• Design and execute automated synthesis experiments using robotic platforms.
• Collaborate with computational scientists to integrate machine-learning models.
• Collaborate on materials characterization (XRD, SEM/TEM, Raman, electrochemistry).
• Perform related duties as assigned.

Kenntnisse

Excellent written/verbal communication

Collaborative work

Mentoring

Strong publication record

Ausbildung

Ph.D. in Materials Science, Engineering, Physics, or Chemistry

Tools

XRD

SEM/TEM

Raman spectroscopy

Electrochemical analysis

Jobbeschreibung

The University of Texas at Austin invites applications for a Postdoctoral Fellow in Materials Chemistry at the Texas Materials Institute, Cockrell School of Engineering. The successful candidate will lead research on high-throughput synthesis and discovery of functional materials.

This role emphasizes electrocatalysis or battery-related systems, autonomous experimentation, and collaboration with a multidisciplinary team to advance data-driven materials discovery.