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

Carnegie Mellon University•Pittsburgh, PA

4d•Onsite

About The Position

Carnegie Mellon University's Department of Materials Science and Engineering is seeking a postdoctoral scholar to join Mohadeseh Taheri-Mousavi's group. This role will focus on computational research, applying CALPHAD-based ICME techniques combined with agentic generative AI to investigate the mechanical behavior of alloys in extreme environments, such as those found in jet engines. The department has a rich history, founded in 1906 as Metallurgical Engineering and has since expanded to encompass a wide range of materials including ceramics, polymers, semiconductors, and biological materials. The research integrates principles from physics, chemistry, civil, and electrical engineering.

Requirements

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
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

Conduct CALPHAD-based simulations in a high performance computing (HPC) environment
Perform data analysis and visualization
Perform machine learning and inverse design techniques
Utilize 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