Data-Driven Alloy Design with Autonomous Robotic Fabrication (PhD)

Postgraduate Studentships; Birmingham; Remoto; GBP 20.000 - 24.000; Tempo pieno

Descrizione del lavoro

The University of Birmingham invites applications for a 3.5-year PhD studentship in the Sustainable Physical Metallurgy Group, supervised by Prof Biao Cai, in the School of Metallurgy and Materials.

You will tackle data-driven combinatorial alloy design and autonomous robotic fabrication, beginning with precious metal jewellery alloys and enabling expansion to aerospace and nuclear applications with industry partner Cooksongold.

Competenze

• Bachelor's or Master’s degree in materials science/engineering or closely related field.
• Interest in robotic systems for materials fabrication and automation.
• Willingness to collaborate with industry partners on applied research.

Mansioni

• Conduct data-driven alloy discovery research using combinatorial methods.
• Develop autonomous robotic workflows for alloy fabrication.
• Collaborate with industry partner Cooksongold and academic colleagues to translate findings into applications.

Conoscenze

Materials engineering

Mechanical engineering

Robotics

Formazione

Background in materials or mechanical engineering

Strumenti

Automation

Descrizione del lavoro

The University of Birmingham invites applications for a 3.5-year PhD studentship in the Sustainable Physical Metallurgy Group, supervised by Prof Biao Cai, in the School of Metallurgy and Materials.

You will tackle data-driven combinatorial alloy design and autonomous robotic fabrication, beginning with precious metal jewellery alloys and enabling expansion to aerospace and nuclear applications with industry partner Cooksongold.