Classification: Numerical Analysis and Scientific Computing
A new PhD fellowship in computational mathematics is available at the Department of Mathematical Sciences at the Norwegian University of Science and Technology (https://www.ntnu.edu/). The PhD project will focus on the development and application of novel computational tools for the simulation and optimization of multiphysics processes in large-scale liquid hydrogen transport. The project offers multiple research directions and ample opportunities to work in a interdisciplinary research environment and to develop and apply state-of-the-art computational methods including modern finite element/volume methods in computational fluid dynamics, topology and shape optimizations algorithms, or machine-learning and model order reductions techniques. We are looking for highly motivated candidates with a sound background in numerical mathematics and a strong interest in developing novel numerical schemes and applying them to challenging application problems in science and engineering. The project requires good programming skills, preferably in C++/Python/Julia, and basic knowledge in partial differential equations and their numerical solution. Knowledge/interest in fluid mechanics, scientific computing, or machine-learning are considered merits. Experience with open source finite element/volume libraries such as deal.ii, mfem, dune, FEniCS, firedrake, ngsolve, gridap etc. are advantageous but not required. Successful candidates will be offered a three-year, full-time research position. The work place will be Trondheim (Norway). For further details and to apply, please visit: https://tinyurl.com/5d7733xp Application deadline is the 30th of November, 2021. For further information, please contact Assoc. Prof. André Massing (firstname.lastname@example.org). We look forward to receiving your application!
Last updated: 15 November 2021
Apply by 29 November 2021