Pınar Acar

ASTRO Lab at Virginia Tech is recruiting a PhD student for Spring 2027 in uncertainty quantification (UQ) and Bayesian inference for computational modeling . The opening is posted by Pınar Acar , Associate Professor at Virginia Tech, who is seeking a student for her group. The research focus is highly quantitative and computational, with emphasis on UQ, Bayesian methods, and scientific programming. Eligibility highlights: an MSc degree is strongly preferred; prior research experience in UQ and Bayesian methods is required; and strong programming skills in Python , MATLAB , or C/C++ are expected. The post explicitly asks only qualified candidates to reach out. How to apply: email a CV and a short note describing your specific experience in UQ and Bayesian methods to [email protected] . The post does not mention a formal portal or deadline beyond the Spring 2027 start.