The University of St Andrews is seeking to enhance its research and teaching strengths and broaden its impact potential in Applied Mathematics by appointing an outstanding candidate as Lecturer in Computational Mathematics and Scientific Computing within the School of Mathematics and Statistics. The successful candidate will be a scholar with a growing international research reputation and commitment to delivering high quality teaching.
We welcome applications from candidates who hold a PhD in Applied Mathematics or a cognate discipline. Although all areas of Computational Mathematics and Scientific Computing will be considered, we are particularly interested in candidates with expertise in, for example: numerical analysis of ordinary, partial, stochastic differential equations; data assimilation for dynamical systems; Bayesian probabilistic numerical methods; multiscale computational modelling. Experience with implementing and/or running numerical codes on high-performance computers would be welcome. Candidates who can both complement and interact with the existing research interests of the Applied Division (Mathematical Biology, Solar and Magnetospheric Theory, Fluid/Vortex Dynamics) are particularly welcome. Candidates should also have some teaching experience at undergraduate or postgraduate level, have experience applying relevant computational skills and teaching computational techniques to a wide range of learners, and have good communication skills and share our desire to educate and inform students. Experience in curriculum development in applied mathematics or in similar disciplines will be an advantage, as will being able to work effectively in a team.