43 parallel-computing-numerical-methods PhD positions at The University of Manchester
Sort by
Refine Your Search
-
Carlo simulation, deterministic methods, and AI/ML-assisted techniques. The study seeks to improve predictive accuracy for key performance and safety parameters while addressing the challenges associated
-
, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
-
before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
-
discipline. Programming skills in any language and knowledge of numerical methods for solving differential equations are highly desirable. Knowledge of heat transfer is advantageous. Applicants are expected
-
++) and confidence working with numerical tools. Desirable: Familiarity with heat transfer/thermodynamics and/or finite‑element methods. Prior exposure to reactor physics (deterministic or Monte Carlo
-
: machine/deep learning, numerical modelling, statistics, optimisation, scientific computing • Ability to work across disciplines and collaborate with academic and industrial teams Desirable: • Experience in
-
particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
-
numerical simulation is desirable. Experience with computational tools such as ANSYS Fluent, STAR-CCM+, or COMSOL Multiphysics would be advantageous. Good oral and written communication skills with
-
the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
-
up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs