Postdoctoral Research Associate - College of Engineering - Materials Science and Engineering

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions.

We are seeking a postdoctoral scholar to join Mohadeseh Taheri-Mousavi's group in the Materials Science and Engineering Department in the College of Engineering. The postdoc will conduct computational research applying CALPHAD-based ICME techniques in combination with agentic generative AI to study the mechanical behavior of alloys in extreme environments such as jet engines.

Core Responsibilities:

• Conduct CALPHAD-based simulations in a high performance computing (HPC) environment
• Perform data analysis and visualization
• Perform machine learning and inverse design techniques
• Agentic and generative AI for alloy design
• Train and supervise masters and doctoral students
• Coordinate research with external collaborators
• Report and present results
• Identify problems and obstacles to progress; develop strategies to tackle problems
• Participate in writing papers, reports, and proposals
• Document procedures; curate and preserve data
• Perform other related duties as assigned

Qualifications:

• PhD Degree in MSE/MECHE or a related field (e.g., physics, chemistry, chemical engineering)
• Publications in peer-reviewed journals
• Expert in CALPHAD-based ICME techniques
• Experience conducting advanced physics-based AI techniques
• HPC experience
• Python programming
• Experience training and supervising students
• Teamwork, communication, and presentation skills