Sergey Dolgov

Education and qualifications

• 2014 PhD in Mathematics. University of Leipzig. Thesis: Tensor product methods in numerical simulation of high-dimensional dynamical problems. magna cum laude.
• 2011 M.Sc. in Applied Mathematics and Physics. Moscow Institute of Physics and Technology. Thesis: Iterative methods with the use of tensor decompositions. Excellent.
• 2009 B.Sc. in Applied Mathematics and Physics. Moscow Institute of Physics and Technology. Thesis: Algebraic methods of sparse grids. Excellent. 

Teaching

• Scientific Computing (MA40177, Semester 2, 2018-2022)
• Applied Numerical Computations (MA50174, Semester 1, 2019-2020)

Experience

• 2022-now University of Bath. Reader in applied mathematics. Also a member of Centre for Mathematics and Algorithms for Data.
• 2017-2022 University of Bath. Lecturer in applied mathematics.
• 2016-2018 University of Bath. Postdoctoral EPSRC Research Fellowship   EP/M019004/1 “Tensor product numerical methods for high-dimensional problems in probability and quantum calculations”
• 2014-2016 Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. Postdoctoral Researcher.
• 2011-2014 Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. PhD student.
• 2008-2011 Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia. Junior Researcher.

Computer skills and languages

• Programming: C/C++, Fortran, MATLAB, Python, MPI, OpenMP, Lapack/MKL.
• Text editing and publishing: Latex, OpenOffice.
• OS: Linux, Windows.

• Russian: Native
• English: C1 (IELTS: 7.5)
• German: Basic