Hessam Yazdani
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Postdoc and PhD Positions in AI-assisted Materials Discovery and Multiscale Mechanics at University of Missouri University of Missouri in United States
Degree Level
PhD, Postdoc
Field of study
Mechanical Engineering
Funding
Postdoc: Competitive salary, health insurance, mentorship opportunities, and intellectual property rights. PhD: Assistantship includes a monthly stipend, tuition support, and health insurance.
Deadline
Jan 31, 2026
Country
United States
University
University of Missouri

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Where to contact
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About this position
The Yazdani SIGMa Lab at the University of Missouri, led by Associate Professor Hessam Yazdani, is recruiting for one postdoctoral and one PhD position in the areas of AI-assisted materials discovery and multiscale mechanics of nanocomposites. The lab focuses on advanced computational and experimental research in materials science, with particular emphasis on polymer nanocomposites, multiscale modeling, and the integration of artificial intelligence and machine learning techniques.
The postdoctoral position is open to candidates with a Ph.D. in mechanical or materials engineering or computational chemistry. Applicants must have proficiency in LAMMPS (especially reactive molecular dynamics), advanced finite element modeling software, and Python programming. A strong background in AI and machine learning as applied to materials science, a record of independent research with publications, and experience in developing research proposals are required. Candidates must also have valid U.S. work authorization. The compensation package includes a competitive salary, health insurance, mentorship opportunities, and intellectual property rights.
The PhD position is available for a project starting January 2026 on the multiscale mechanics of polymer nanocomposites. Applicants must hold a BSc and MSc in mechanical or civil engineering, possess a strong background in multiscale modeling and simulation (molecular dynamics and FEM), and have familiarity with machine learning and microscopy. The assistantship includes a monthly stipend, tuition support, and health insurance.
Both positions require strong writing skills, a positive attitude, growth mindset, passion, tenacity, time management skills, and a willingness to learn new things. Responsibilities include developing AI-assisted multiscale computational models, publishing papers, mentoring undergraduate research assistants, and participating in collaborative projects. The lab offers a dynamic research environment with opportunities for interdisciplinary collaboration.
Interested candidates should send their current CV, contact information for references, and a short statement describing their fit and verifying they meet all requirements to Dr. Hessam Yazdani at [email protected]. Postdoc applicants should also include sample first-author publications. Please use the specified subject line in your email. The review process may take up to one month, and only candidates meeting all requirements will be notified of the outcome.
For more information, visit the lab's open positions page or the University of Missouri Graduate School's minimum admission requirements page.
Funding details
Postdoc: Competitive salary, health insurance, mentorship opportunities, and intellectual property rights. PhD: Assistantship includes a monthly stipend, tuition support, and health insurance.
What's required
For the postdoc: Ph.D. in mechanical or materials engineering or computational chemistry; proficiency in LAMMPS (especially reactive MD) and at least one advanced FEM software; strong AI and machine learning background with application to materials science; independent research experience with publications; proficiency in Python; basic knowledge of experimental materials characterization; strong writing skills; demonstrated success in developing research proposals; positive attitude, growth mindset, passion, tenacity, time management skills, willingness to learn new things; valid U.S. work authorization. For the PhD: BSc and MSc only in mechanical or civil engineering; strong background in multiscale modeling and simulation of materials (molecular dynamics AND FEM) and machine learning; familiarity with microscopy; strong writing skills; positive attitude, growth mindset, passion, tenacity, time management skills, willingness to learn new things.
How to apply
Send your current CV, contact information for references, and a short statement describing your fit and verifying you meet all requirements to Dr. Hessam Yazdani at [email protected]. For the postdoc, include sample first-author publications. Use the specified subject line for your application email. Review process may take up to one month.
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