Postdoctoral Research Associate - College of Engineering - Materials Science and Engineering
Core
Conduct computational research applying CALPHAD-based ICME techniques and agentic generative AI to study the mechanical behavior of alloys in extreme environments.
Role type
Postdoctoral Research Associate (Materials Science)
Builds
Computational models and insights for alloy design in extreme conditions
Domain
Materials Science and Engineering / Computational Materials
Deliverable
production ML models
Required skills
CALPHAD-based ICME techniques, physics-based AI, HPC, Python programming, machine learning, inverse design, student supervision
Preferred skills
Publications in peer-reviewed journals, experience training and supervising students
Technologies
CALPHAD, HPC, Python, generative AI
Responsibilities
Conduct CALPHAD-based simulations in HPC, perform data analysis and visualization, apply machine learning and inverse design, use agentic and generative AI for alloy design, train and supervise students, coordinate with external collaborators, report and present results, document procedures and curate data
Seniority
Postdoctoral, hands-on IC with mentorship