Scientific Software Engineer at Roxar, Oxford

Roxar, part of the Emerson group of companies, produces software for the oil and gas exploration and production industry. Our software is used worldwide to calculate flows of fluid underground and along the wells, and to assess the uncertainty when developing an oil or gas field.

The growing use of Roxar’s Tempest MORE reservoir simulator means we are expanding the development team in Oxford. We are looking for a skilled scientific software engineer to research and develop numerical schemes to simulate underground fluid flow, build and test the code, and support end users in running the final commercial program.

The successful candidate will work as part of the development team on a range of projects. Possible projects might be to simulate advanced wells, improve the performance of the core solvers, or modelling more advanced physical processes such as carbon dioxide injection.  In all cases an efficient, parallel implementation of the ensuing algorithms is critical to take advantage of parallel architectures, as is the ability to write clear and maintainable code.

Person Specification

The successful candidate will have:

  • Strong physics, maths or engineering skills, preferably at PhD (and possibly post-doctoral) level, or equivalent industry experience
  • Excellent programming skills in a high-level language such as C++
  • Aptitude for software engineering as part of a development team
  • Interest in helping real-world engineers

In addition, experience in the following areas would be advantageous:

  • Modelling fluid flow in porous media
  • Experience in scientific computing
  • Working on large or commercial numerical codes
  • Parallel architectures and libraries (e.g. MPI, multi-threading, CUDA)
  • Software development lifecycle and testing

For more information please contact Kari Hansen

For more details on Roxar visit


Postdoctoral Research positions: Mathematical modelling of social spreading phenomena, MACSI, University of Limerick

The emerging discipline of Computational Social Science (CSS) studies human behaviour, as manifested in the digital trails we leave in our interactions with each other. The development of mathematical models for CSS is urgently required to underpin the analysis of large-scale data and to move beyond the identification of correlations to create new scientific understanding of collective behaviour in both online and offline social networks.

In this Science Foundation Ireland funded project, we are seeking to recruit two postdoctoral researchers to develop new mathematical techniques and models to help revolutionise the understanding of the dynamics of social spreading phenomena, such as viral information contagion and cascades of popularity. We will focus on the mathematics of age-dependent (non-Markovian) branching processes to generate analytical and asymptotic results for inference and calibration with large-scale CSS data. Understanding and controlling the temporal aspects of information diffusion and cascade dynamics on social networks will improve the predictability of technology adoption and opinion propagation and enable us to accurately identify the most influential nodes within diverse dynamical systems on complex networks. As part of the project, we will seek to develop and apply algorithms to social spreading phenomena that are of interest to industry partners.

The Mathematics Applications Consortium for Science and Industry (MACSI) is Ireland’s largest applied and industrial mathematics group and works closely with scientists and industrial companies across a wide variety of sectors. MACSI’s aim is to foster new collaborative research, in particular on problems that arise in industry through the application of cutting-edge mathematical and modelling techniques.

The candidate should have completed a doctoral degree in applied mathematics, mathematics, physics, computer science, or other relevant discipline, with a strong publication record in either or both of the following areas:

  • Mathematics of networks.
  • Analysis and model calibration using large-scale Computational Social Science data.

Further details of the posts are available here. Please note that applications must be submitted online at (search using keyword MACSI) in advance of 12 noon Irish Standard Time on 31 October 2017.

SIAM UKIE awards prizes for the best posters at SciCADE 2017

The biennial Scientific Computing and Differential Equations conference, known as SciCADE, took place at the University of Bath on the week September 11-15 (2017), featuring seven plenary talks and forty-two mini-symposia. As part of the meeting, SIAM UKIE sponsored the conference poster session with prizes for the best poster, alongside Cambridge University Press, who provided the wine in generous quantities. Jack Betteridge was awarded second prize and Ibrahim Almuslimani awarded first prize.

Jack Betteridge is a PhD student at the University of Bath, coming to the end of his first year of research. He works with Dr Eike Müller and Prof Ivan Graham on finding numerical solutions to PDEs using higher-order discontinuous Galerkin (DG) methods. The poster summarised his first six months of research on an advection problem, including the implementation (C++ code as part of the DUNE framework) of the DG method, the structure of the discrete operators and the scalability of the problem to high-performance computing architectures. You can see the poster here.

Ibrahim Almuslimani is a PhD student and doctoral assistant at University of Geneva, Section of Mathematics, working with Prof Gilles Vilmart. He obtained his masters in mathematics in 2016 from Lebanese University. His current research interests focus on multiscale numerical integrators for stochastic and partial differential equations. His poster proposes a novel optimal explicit stabilized method for stiff stochastic problems that mix slow and fast scales. Applications include molecular dynamics simulations and stochastic diffusion problems. You can see the poster here.


Poster prize winners: Ibrahim Almuslimani (left) and Jack Betteridge (right).

The next round of SciCADE will take place in Innsbruck in 2019.

Young Researchers in Mathematics 2017 summary

This year, between the 1st and 4th August, the University of Kent hosted the annual Young Researchers in Mathematics (YRM) conference. Around 40 PhD students and post-docs attended from a variety of home and international institutions, some coming from as far as India to attend. True to the nature of the YRM, students gave talks in a wide range of mathematical areas, including differential geometry, mathematical physics, functional analysis, combinatorics, and algebra. These talks were organised into sessions and run in parallel.

The participants also had the opportunity to present their work at the poster competition for a chance to win a Maple licence and a £100 Springer book voucher. The judging panel, consisting of Keith Ball (Warwick), Jocelyne Ishak (PhD student, Kent), Steffen Krusch (Kent), and Fenny Smith (The British Society for the History of Mathematics), chose the three winners: Nick Rome (Bristol), Marina Jimenez-Muñoz (Kent), and Jonathan Hoseana (Queen Mary, London). The prizes were handed out during the conference dinner, which was held in a stunning location within the Cathedral grounds.


There were also 12 plenary and key note talks throughout the week from distinguished researchers across all areas of maths, as well as a very engaging public lecture given by Paul Sutcliffe (Durham) on the topic of “Tying Tornadoes in Knots” which provided links to physics, biology and chemistry. The public lecture attracted audience members from outside the mathematics department and invited some lively discussion afterwards.

As this conference is aimed at PhD and post-doc students, in addition to the academic talks there were also several general interest talks and workshops aimed at developing relevant skills and addressing other aspects of a young researcher’s career. Kelly Kuan (Kent) gave a workshop on how to navigate the different career options a finishing PhD student or post-doc student faces and Surak Perera (Maple) gave an interactive workshop on Maple. Fenny Smith (The British Society for the History of Mathematics) gave one of the general interest talks tracing the history of where our numbers come from and another general interest talk was given by PhD students Ellen Dowie, Marina Jimenez-Muñoz, and Ana Rojo-Echeburúa (Kent) who talked about the statistics of inequality in STEM with their presentation entitled: “Why do men get served beer while women get served wine?”.

The organising committee would like to thank all of the invited speakers and participants of the YRM2017 who made this event a success, as well as the supporters of this event: SIAM, LMS, Heilbronn Institute, NAG, EMS, ThinkTank Maths, IMA, Oxford University Press, and Kent Graduate School.



SIAM UKIE Annual Meeting 2018

The 22nd Annual Meeting of the SIAM UKIE Section will be hosted by the University of Southampton, on Thursday, 11th of January 2018. 

The meeting features five invited speakers and a poster session. We are also planning to have a “poster blitz” session. Travel support will be available for PhD students and postdocs with an accepted poster presentation, and a Best Poster prizes will be awarded.

Registration is open until December 12th, 2017 and free of charge.



Student Chapter Certificates of Recognition

In 2017, SIAM Student Chapter certificates of recognition have been awarded to 97 students who have made outstanding contributions to their SIAM Student Chapters. See here for the complete list. We congratulate all recipients and in particular the following UK/IE based students:

Scott Morgan, Cardiff University, Wales, UK

Christine Marshall, National University of Ireland, Galway, Ireland

Benjamin Robinson, University of Bath, England, UK

Gabriele De Canio, University of Cambridge, England, UK

Mante Zemaityte, University of Manchester, England, UK

James Jackaman, University of Reading, UK

Michał Bosy, University of Strathclyde, Scotland, UK

Neil Chada, University of Warwick, England, UK


Postdoc in Numerical Linear Algebra on Extreme-scale Computers at RAL

We are inviting applications for a postdoctoral position in the Computational Mathematics Group at STFC-RAL in Oxfordshire, UK.

The successful candidate will join the Numerical Linear Algebra for Future and Emerging Technologies (NLAFET) project funded by the European Commission involving Inria, Umea University, University of Manchester and STFC-RAL. The position will focus on the design, implementation, and evaluation of parallel algorithms for numerical linear algebra with regards to extreme-scale challenges. The research at RAL will principally be on sparse direct solvers that are highly scalable and thus suitable for future and emerging large scale computers. The algorithms developed will be validated on several applications targeted by NLAFET, such as power systems, computational fluid dynamics, and astrophysics. The research will be done in close collaboration with established researchers in the Computational Mathematics Group as well as with other partners in NLAFET.

Candidates should have a PhD in applied mathematics or computer science and expertise in numerical linear algebra and high performance computing. The candidate must have a visa to work in the UK which automatically includes any UK or EU citizen.

This post offers a full-time research appointment until the end of the project on 31 October 2018.

Informal enquiries may be made to: Iain Duff <>.

To apply or to find out more details about the position, please go to the STFC recruitment portal at:

The deadline for applications is 24th September 2017 but I encourage people to
apply well before that date. The appointment can begin at any time after
the job offer and ideally the post should start on or before 1st November 2017.

[Posted on behalf of Iain Duff.]