Heilbronn Fellowships in Mathematics at Manchester (3 positions)

The School of Mathematics at the University of Manchester has three Helibronn Fellowships in Mathematics available, in association with the Heilbronn Institute for Mathematical Research. Experience in Algebra or Numerical Linear Algebra, interpreted broadly, is preferred. The Fellowships last for three years, starting in October 2019 or at a mutually agreed alternative date. The The salary is £37,345 to £42,036 per annum (according to relevant experience) plus a supplement of £3500 per annum, and at least £2,500 per annum is available for research expenses.

The Heilbronn Institute for Mathematical Research (HIMR) is a major national centre which works in collaboration with universities and Government Communication Headquarters (GCHQ) to support mathematics research. It employs more than 30 Heilbronn Fellows, who divide their time between academic research and work for GCHQ. The Institute also runs a highly successful programme of events to promote and further the cause and understanding of advanced mathematical research. These include conferences, focused research groups and workshops. It is named after Professor Hans Heilbronn FRS, who was a major contributor to UK mathematics.

The Heilbronn Fellowship holders will divide their time equally between their own academic research (in the School of Mathematics at the University) and the research programme of the Heilbronn Institute. The Institute’s work offers opportunities to engage in collaborative work as well as individual projects.

The closing date is November 11, 2018. More information about the Heilbronn Fellowship in Mathematics is available in the advert and further particulars here, which also describe security requirements attached to these posts.

PhD position – Preconditioners for time-harmonic heterogeneous electromagnetic problems (fully funded, Univ. Strathclyde)

PDEs (partial differential equations) arise in the mathematical modelling of many physical phenomena as well as science and engineering problems (meteorology, structural analysis, fluid dynamics, electromagnetism, finance, etc.) Parallel solution schemes using state-of-the art computers allow scientists to obtain more representative and accurate solutions of the discretised equations faster. This increase in computational and modelling capabilities in turn encourages modelers and scientists to tackle harder problems, which need finer discretisations or more complex geometries. Among these problems, wave propagation in heterogeneous media and time harmonic regime (supposing an oscillatory behaviour in time of the solution) is particularly challenging and requires sophisticated methods. This project seeks to design, analyse, and implement fast, highly-parallel preconditioners for problems involving electromagnetic waves. The PhD researcher will have a substantial interaction with the postdoctoral researchers and scientists working in a recently awarded EPSRC grant between the Universities of Bath and Strathclyde, as well as with the industrial and academic international experts who are collaborating in this project.

Prerequisites: you should have (or expect to have) a UK Honours Degree (or equivalent) in Mathematics, Mathematics and Physics, or a closely related discipline with a high mathematical content. Knowledge of numerical methods for the solution of partial differential equations and programming in usual scientific programming languages is desirable.

The candidates must be a UK citizen, or a EU citizen fulfilling the EPSRC requirements. The starting date of the position should be on the 1st of October, 2018 or very soon after. Funding: 4 year scholarship – EPSRC framework for ‘National Productivity Investment Fund 2018 training Grant’ .

Informal inquiries can be made to the supervisor: V. Dolean

Job opening: Bath Institute for Mathematical Innovation

The Institute for Mathematical Innovation (IMI) at the University of Bath invites applications from excellent candidates for a role that plays a pivotal part in its national leadership in interdisciplinary and industrial applications of the mathematical sciences.
We are looking to recruit an enthusiastic Institute Manager to lead on the development and project management of our work with external partners. The role will focus on growing our current and future partnerships with business and industry, with the public sector and local authorities, and with other research funders.
This is a wide-ranging role managing a portfolio of collaborations, with significant responsibility for delivering the strategy of the Institute on a day-to-day basis and maintaining alignment to the long-term vision.

VACANCY: Professor of Applied Mathematics, Ireland

TITLE OF POST: Professor of Applied Mathematics.

LOCATION: University of Limerick

SALARY SCALE: €114,740 – €140,961 p.a.

JOB DESCRIPTION

QUALIFICATIONS:

  • Doctoral degree (level 10NFQ) in a relevant discipline

OVERALL PURPOSE OF THE JOB:

Teaching, research and academic leadership in Applied Mathematics.

DESCRIPTION:

We are seeking to appoint a Professor of Applied Mathematics in the Department of Mathematics and Statistics. This department is responsible for teaching at all levels across the University and also has a thriving research programme. In November 2015 the department was granted an Athena SWAN Bronze award, reflecting its commitment to addressing gender equality.

Applications are invited from leading researchers in any of the following subfields of Applied Mathematics: mechanics, fluid mechanics, thermodynamics, mathematical geophysics, complex networks, numerical analysis, mathematical biology, game theory, probability theory and systems theory.

A commitment to collaborative research with departments and research centres across the University of Limerick is desirable. The Mathematics Applications Consortium for Science and Industry (MACSI) is a research centre based in the department which applies mathematics to diverse real-world problems. Recent examples of MACSI projects include the modelling of moisture absorption on a silicon chip, information diffusion on Twitter-like networks, and valve wear in an alumina refinery. MACSI also works closely with research centres within UL, such as the new smart manufacturing SFI funded centre Confirm, the Dairy Processing Technology Centre (DPTC), the Pharmaceutical Manufacturing Technology Centre (PMTC) and the Synthesis and Solid State Pharmaceutical Centre (SSPC). Other collaborative opportunities within the University include the Bernal Institute, Lero and health-related departments.  Further application areas of interest to the University are outlined in its strategic plan, Broadening Horizons 2015-19.

Research areas of particular strength in the department include mathematical modelling, fluid mechanics, complex systems, differential equations, numerical analysis, inverse problems, optimisation, stochastic dynamics, financial mathematics and statistics.

The successful candidate will have a doctoral degree (level 10NFQ) in a relevant discipline, an international research reputation and a significant publication record. A record of achieving research funding and leading a research group is desirable, as is experience of working in collaborative and interdisciplinary projects. The successful candidate should also demonstrate interest and experience in teaching at undergraduate and postgraduate levels.

 Essential Criteria:

  • Doctoral degree (level 10NFQ) in a relevant discipline
  • Post doctoral experience in research, industry or academia
  • A significant track record in research and publication in a relevant area of Applied Mathematics
  • Submission of a statement of research plans (maximum 2 pages) and a statement of teaching experience and interests (maximum 2 pages)

Desirable Criteria:

  • A commitment to collaborative research with departments and research centres across the University, in particular MACSI
  • Experience in teaching at undergraduate or postgraduate levels
  • A record of obtaining competitive research funding
  • Evidence of academic leadership in Applied Mathematics
  • A track record of academic/industrial collaboration and/or realising industry funding

 Informal enquiries regarding the post may be directed to:
Dr Sarah Mitchell
Head
Department of Mathematics & Statistics
University of Limerick
Email: sarah.mitchell@ul.ie

Apply via the HR website http://www.ul.ie/hrvacancies/

SFI Starting Investigator Research Grant

Science Foundation Ireland is seeking applications for the Starting Investigator Research Grant (SIRG)

SIRG  aims to support excellent postdoctoral researchers and others who are yet to hold an independent research post in taking the initial steps towards a fully independent research career.

The SIRG award provides an opportunity for excellent early-career-stage investigators to carry out their own research project in the fields of science, technology, engineering and mathematics (STEM).

The award provides a contribution to the salary for the Starting Investigator (SI) and also provides funding for a postgraduate student, who will be primarily supervised by the SI. The SI will work with an associated mentor, who will provide the necessary support and infrastructure for the project to take place. €425,000 direct costs over a period of four years and covers the salary of the SI and the stipend and fees of a postgraduate student.

One of SFI’s Agenda 2020 KPI targets is to increase the proportion of female award holders to 30% by 2020. Research Bodies will be permitted to put forward a maximum of 12 candidates for the submission of a proposal to the SFI SIRG Programme 2018. A maximum of six candidates, out of the 12 permitted from each eligible research body, may be male candidates.

If you are a postdoctoral researcher with a track record in the area of applied mathematics or statistics and are interested in applying to this programme with MACSI at the University of Limerick please contact MACSI@ul.ie with your CV.  An eligibility is available here.

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.


 

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 www.ul.ie/hrvacancies (search using keyword MACSI) in advance of 12 noon Irish Standard Time on 31 October 2017.