Faculty Position in Mathematics of Data and High Performance Computational Mathematics

The Virginia Tech Department of Mathematics anticipates two tenure-track openings in Mathematics of Data and High Performance Computational Mathematics with a start date of August 10, 2023, at our Blacksburg, VA, campus.

The successful candidate will have a strong background in mathematics of data, high performance computing, or their intersection. Possible specialties include, but are not limited to, algorithms for large-scale data, reduced-order data-driven modeling, model order reduction, numerical linear algebra, randomized numerical linear algebra, tensor computations, inverse problems, numerical PDE modeling, PDE solvers, machine learning, optimization, or uncertainty quantification. Application areas of interest include, but are not limited to, geosciences, neuroscience, physics, biology, chemistry, or economics.

Appointment as an Assistant Professor of Mathematics is anticipated, but exceptional senior candidates will be considered for positions of Associate Professor of Mathematics or Professor of Mathematics. Teaching and service duties will be split between the Mathematics Department and the Computational Modeling and Data Analytics (CMDA) program. The CMDA program is a collaborative effort involving faculty members from several departments, located in the College of Science’s Academy of Data Science. The recently established Academy of Data Science embodies Virginia Tech’s commitment to its land-grant mission of using leadership in teaching, research, and service to address society’s pressing problems.

Job requirements include a Ph.D. in mathematics or a related field at the time of appointment and an active research program (or for new Ph.D.’s, strong promise for developing an active research program) in mathematics of data, high performance computing, or their intersection. Position will require occasional travel to conferences and meetings. The successful candidate will be expected to establish a distinguished research program and to provide effective instruction and advising to a diverse population of undergraduate and graduate students.

Additional responsibilities include: continuing development of professional capabilities and scholarly activities, including travel to professional meetings; curriculum development, in particular enhancing the computing aspects of the Mathematics and CMDA curricula; participation in department, college, and university governance; and professional service.