Two Funded Ph.D. Positions at the University at Buffalo: Scientific Machine Learning and Predictive Modeling in Materials and Tumor Growth

Two fully supported Ph.D. positions are open in Predictive Computational Engineering (PCE) Research Lab at the University at Buffalo for research in advanced computational modeling and algorithms, scientific machine learning, and uncertainty quantification.

Research Areas: 

Position 1: Image-Guided Personalized Radiotherapy Optimization for Tumor Growth

Position 2: Integrated Physics-Based and Machine Learning Models for Material Design

Requirements:

·       Master's degree in Mechanical Engineering, Civil Engineering, or Applied and Computational Mathematics. 

·       Proficiency in Python and C++. 

·       Knowledge in scientific machine learning, finite element methods, Bayesian inference, and optimization is a plus.

Applications:

These positions will be filled in either Fall 2023 or Spring 2024.

Submit your cover letter, CV, and publications (if applicable) to Dr. Danial Faghihi at danialfa@buffalo.edu with the subject line "Ph.D. Application – [Name]". Evaluation of candidates begins immediately.