Postdoctoral Research Associate

Responsibilities

• Conduct CALPHAD-based simulations in a high performance computing (HPC) environment
• Apply agentic and generative AI for alloy design and machine learning/inverse design techniques
• Perform data analysis, visualization, and documentation of procedures
• Train and supervise masters and doctoral students
• Coordinate research with external collaborators and report/present results
• Participate in writing peer-reviewed papers, reports, and research proposals

Requirements

• PhD in Materials Science and Engineering (MSE), Mechanical Engineering (MECHE), Physics, Chemistry, or Chemical Engineering
• Expertise in CALPHAD-based ICME techniques
• Experience with advanced physics-based AI techniques
• Proficiency in Python programming and experience with High Performance Computing (HPC)
• Proven track record of publications in peer-reviewed journals
• Strong teamwork, communication, and presentation skills

Preferred Qualifications

• Experience in training and supervising graduate-level students
• Ability to identify research obstacles and develop strategic solutions

Benefits

• Comprehensive medical, prescription, dental, and vision insurance
• Generous retirement savings program with employer contributions
• Tuition benefits and ample paid time off
• Life, accidental death, and disability insurance
• Access to fitness centers and a Family Concierge Team for childcare support
• Free Pittsburgh Regional Transit bus pass

About the Company

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. We don't just imagine the future; we invent it through ground-breaking science, big data, and hands-on learning. Our Department of Metallurgical Engineering, founded in 1906, continues to lead the way in studying materials that shape our world.