Amir Malvandi

Fully funded PhD opportunity in Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign . The project sits at the intersection of Artificial Intelligence (AI) , Scientific Machine Learning (SciML) , Computational Fluid Dynamics (CFD) , and heat transfer simulation , with a focus on developing next-generation AI-enabled computational methods for engineering applications. The research areas include AI for engineering, deep learning for scientific computing, heat and mass transfer modeling, high-performance scientific computing, and data-driven modeling and optimization. The work combines physics-based modeling with modern AI techniques to build robust, interpretable, and computationally efficient simulation tools for complex engineering challenges. Applicants should have a Bachelor’s or Master’s degree in Agricultural Engineering, Biological Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, Applied Mathematics, Computational Engineering, Data Science, Artificial Intelligence, or a closely related field. Strong interest in AI/ML for scientific and engineering problems, programming experience in Python or Julia, and familiarity with scientific computing libraries or CFD software such as OpenFOAM, ANSYS Fluent, or COMSOL are preferred but not required. Funding includes a full tuition waiver, competitive annual stipend, health insurance subject to university policy, and support for conference travel, workshops, and professional development. To apply, email your CV, transcripts, and 2–3 references to [email protected]. No deadline was stated in the post.