Postdoctoral Data Science Associate, Manchester

We are looking to recruit a graduate with a PhD in Mathematics, Computer Science, Physics, or another related subject involving numerical mathematics, machine learning, and programming, to undertake a 36-month Knowledge Transfer Project between the University of Manchester and the Manchester-based company Process Integration Limited (PIL).

The position offers

  • an exciting project which combines innovative multidisciplinary research and new techniques from data science with an impactful industrial application
  • an invaluable experience of independently managing a high-profile project
  • access to a budget of £6,000 for professional development and training
  • mentoring and support from academic staff and industry professionals
  • a competitive salary of  £31,604 to £38,833 per annum.

Based at PIL offices in Altrincham, Manchester, the Data Science Associate will work directly with supervisors from both the University and PIL, and will use the facilities and resources of both organisations.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

For enquiries about the vacancy, shortlisting and interviews please contact Dr Stefan Güttel (stefan.guettel@manchester.ac.uk).


Please click here for further particulars and the application form.


 

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 karirosnes.hansen@emerson.com.

For more details on Roxar visit www.roxarsoftware.com

Unbenannt

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.

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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 <iain.duff@stfc.ac.uk>.

To apply or to find out more details about the position, please go to the STFC recruitment portal at: http://topcareer.jobs/Vacancy/irc242252_7364.aspx

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.]

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 hardware and emerging computing architectures, as is the ability to write clear and maintainable code.

The successful candidate will have:

  • Strong physics, maths or engineering skills at PhD level, possibly with some post-doctoral 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
  • 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 karirosnes.hansen@emerson.com.

For more details on Roxar visit www.roxarsoftware.com

Closing date: 31st July 2017.

Untitled

New President and Vice President elected

The SIAM UKIE election results are in. Of the 283 eligible voters, 122 people voted, which is a good turnout. Many thanks to those who have voted!

Congratulations go to Prof. Ivan Graham (University of Bath) and Dr John MacKenzie (University of Strathclyde) on being elected as the new President and Vice President of our SIAM UKIE section. Ivan and John will serve in their roles for a period of two years until the end of March 2019. We are all looking forward to working together.

Prof. Des Higham and Prof. Jennifer Scott’s terms end with this election and we are grateful for their hard work and contributions to the section. During their terms the section has been extremely active, with a large number of events being organised by our Student Chapters, including the National SC Conferences in Reading (2015), Cardiff (2016), and Galway (2017), as well as two excellent annual meetings being held in Cambridge (2016) and Strathclyde (2017). Both Des and Jennifer have kindly agreed to assist the new presidents with the transition and we hope that the section will continue to benefit from their contributions, formally or informally, in future years.