PostDoc Position in Computational Optimization

The Department of Mathematical Sciences at the University of Southampton (UK) is currently recruiting a Postdoctoral Research Fellow in Computational Optimization to work on a new research project funded by the Engineering and Physical Sciences Research Council (EPSRC).

The aim of the project is to develop a solver for bilevel optimization based on continuous optimization techniques which rely on strong mathematical foundations. Applicants should have a PhD or equivalent experience in Mathematical Optimization, the ability to pursue research independently and as part of a team, and a track record of high quality original research. Expertise in nonsmooth and/or nonconvex optimization and computational optimization would be advantageous.

The post is located in the Operational Research Group (part of the Department of Mathematical Sciences), a committed and vibrant team of more than 30 academic staff and postgraduate students. We collaborate with more than 150 industrial partners across the world to enable impact arising from our research. We take part in CORMSIS, the Centre for Operational Research, Management Science, and Information Systems, a joint research endeavour of the Department of Mathematical Sciences and the Business School of the University of Southampton. CORMSIS is the largest of such groups in the UK, and spans the full spectrum of current Operational Research and Management Science.
For more details on the position and the application procedure, please visit the following link: http://www.jobs.ac.uk/job/BAY034/research-fellow/

NA Positions, STFC Rutherford Appleton Laboratory

We have an fixed-term opening for an outstanding, ambitious junior researcher to join the Numerical Analysis Group at the STFC Rutherford Appleton Laboratory, near Oxford, England. The Group’s main focus is on topics relating to large-scale numerical linear algebra and optimization.

The position will involve undertaking novel independent and collaborative scientific research at an international level in an area of computational numerical analysis that is closely related to the existing research interests of the Group. The role will also contribute to developing, supporting and maintaining software within the Group’s key software projects (notably HSL, SPRAL and GALAHAD).

Further responsibilities will include developing national and international research collaborations, and working with colleagues on the development and expansion of projects involving STFC scientific facilities (notably the ISIS pulsed neutron and muon source, Diamond Light Source and RAL Space).

For further details, please visit http://www.topcareer.jobs/Vacancy/irc240691_7110.aspx
or contact us (nick.gould@stfc.ac.uk, jennifer.scott@stfc.ac.uk) by email for particular queries. The closing date for applications is the 14th of May 2017, with interviews scheduled for the 12th of June 2017.

We also have an opening for a software engineer to join the group.  The new role will involve developing, supporting and maintaining software within the Group’s key software projects, and will also involve helping and advising users of the Group’s software. This is a post that will appeal to a highly-motivated and proactive software developer with a mathematical background and experience of software engineering.  For further details, please visit http://www.topcareer.jobs/Vacancy/irc240664_7111.aspx.

 

Postdoc position in computational engineering at University of Leeds

A fixed term (12 months) grade 7 researcher position is available at the School of Mechanical Engineering at the University of Leeds. It is funded by EPSRC through a project in collaboration with the Culham Centre for Fusion Energy.

You will develop a novel time stepping algorithm to speed up simulations of fast ions in fusion reactors and integrate it into CCFE’s GPU-accelerated simulation suite LOCUST. Development of the new algorithm will be based on a recent combination of the widely used Boris method for the Lorentz equations with spectral deferred corrections.

Please consult this website for more information and to apply.

Birmingham Fellowship research positions

The “Birmingham Fellowship Programme”
http://www.birmingham.ac.uk/staff/excellence/fellows/index.aspx
offers five years of protected time for high-quality research, allowing outstanding, high potential, early-career researchers of all ages to establish themselves as rounded academics who will go on to excel in their academic discipline across research, teaching and wider citizenship. All Fellowships come with a permanent academic post at the University.

The deadline for the current round is 31 March 2017. Candidates may apply directly using the above website. However, to get a stronger support from the School of Mathematics, candidates in research areas Optimization and Numerical Analysis are encouraged to contact first Professor Michal Kocvara, m.kocvara@bham.ac.uk .

VACANCY: Post Doctoral Researcher in Mathematical Modelling for use in the Pharmaceutical Industry.

VACANCY: Post Doctoral Researcher in Mathematical Modelling for use in the Pharmaceutical Industry.

Salary Scale: €37,750 – € 46,225 p.a.

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 including the Pharmaceutical sector. 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 Pharmaceutical Manufacturing Technology Centre (PMTC) is hosted by the University of Limerick with core funding of €1M per annum from the Irish government (Enterprise Ireland and the IDA Ireland). PMTC, established in December 2013, is led by an industry steering board with an active research program driven by its industry members. Companies access PMTC to create projects and execute world-beating industry-r issues.

4b-ul-ready-for-own-field-of-dreams

The successful candidate will join the PMTC and MACSI teams as part of the “Soft sensor modelling tools” theme of the PMTC Research Programme.

Cleaning of equipment is a crucial but time-consuming step in pharmaceutical manufacture, and there is potential for significant increases in manufacturing efficiency if improved cleaning protocols are developed. This successful candidate will work on a project which will assist the development of new cleaning protocols by developing and analysing mathematical models based on differential equations of the interactions of adherents and solvents on different surfaces. The candidate will work with PMTC partners to meet industrial needs. The candidate will have good communication skills and be expected to contribute to marketing and promotion activities of both PMTC and MACSI within the University and outside.

 

DESCRIPTION:

Responsibilities

·         Participate in collaborative research with industry and across the University of Limerick.

·         Publish and present research outcomes.

·         Identify new opportunities for industrial and interdisciplinary research.

·         Identify and exploit funding opportunities.

·         Organise research workshops.

Essential

·   A doctoral degree (level 10 NFQ) completed, or near completion in mathematical modelling or related discipline with significant modelling and computational content.

·    Highly proficient in the use of at least one high-level computing language (e.g., MATLAB, Python etc).

·         Well-developed ability to communicate technical concepts to non-experts.

·         Ability to liaise and collaborate with other researchers in the university and Industrial clients.

Desirable

  • Experience in model development for use within the pharmaceutical or related industry.
  • Previous industrial experience.
  • Experience of Industrial Research & Development and be fully aware of the importance of Intellectual Property management and protection.
  • Demonstrated strong organisational skills.
  • Evidence of participation in interdisciplinary research projects.

Further information for applicants and application material is available online from: http://www.ul.ie/hrvacancies/

 

Chair in Applied Mathematics – University of Limerick Ireland

Chair in Applied Mathematics – Multiannual

Faculty of Science + Engineering

Department of Mathematics & Statistics, University of Limerick

Chair in Applied Mathematics – Multiannual

Salary scale:  €106,516 – €136,276 p.a.

Further information for applicants and application material is available online from:

http://www.ul.ie/hrvacancies/

The closing date for receipt of applications is Friday, 16th September 2016.

Applications must be completed online before 12 noon, Irish Standard Time on the closing date.

Please email erecruitment@ul.ie if you experience any difficulties

Applications are welcome from suitably qualified candidates.

The University is an equal opportunities employer and committed to selection on merit.

DESCRIPTION:

We are seeking to appoint a Chair in 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, 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 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 10 NFQ) 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.

 

Eligibility Requirements

 

Essential:

  • Doctoral degree (level 10 NFQ) in a relevant discipline
  • Postdoctoral experience in research, industry or academia
  • A significant track record in research and publication in a relevant area of Applied Mathematics

 

Desirable:

  • 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 research funding
  • Evidence of academic leadership in Applied Mathematics
  • A track record of academic/industrial collaboration and/or realising industry funding

 

As part of their application, candidates are required to submit a statement of research plans (maximum 2 pages) and a statement of teaching experience and interests (maximum 2 pages).

 

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

VACANCY: Post Doctoral Researcher in Mathematical Modelling of Transport Processes

bernal02The Bernal Project at the University of Limerick (UL) is a €52 million strategic investment particularly focused on the development of Pharmaceutical Science and Engineering within the Faculty of Science and Engineering. Key to this strategy is the Science Foundation Ireland (SFI) funded Synthesis and Solid State Pharmaceutical Centre (SSPC).  The Mathematics Applications Consortium for Science and Industry (MACSI) is a network of mathematical and statistical modellers based in Ireland. MACSI works closely with scientists and industrial companies across a wide variety of sectors including the Pharmaceutical sector. 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 role of this Postdoctoral Researcher position is to contribute the work programme of a new SFI and industry funded SSPC Spoke project, “Modelling of Multi-Phase Transport Processes to Enable Automation in Manufacturing” (MOMEnTUM).

DESCRIPTION:

A Post Doctoral Researcher in the area of mathematical modelling for transport processes is required for a specific purpose contract, which is initially funded for one year with a possibility of extension up to three years. The industrial partner is the biggest Alumina Refinery in Europe. The research programme will include developing models for the flow of slurry. As part of the Bayer process, crushed bauxite is mixed with spent caustic soda to form a pump-able slurry. Alumina is extracted from the slurry at a later stage.

 Essential Criteria

  • A doctoral degree (level 10 NFQ) completed, or near completion in mathematical modelling or related discipline with significant modelling and computational content.
  • Highly proficient in the use of at least one high-level computing language (e.g. MATLAB, Python etc.).
  • Well-developed ability to communicate technical concepts to non-experts.
  • Ability to liaise and collaborate with other researchers in the University and Industrial clients.

 Desirable Criteria

  • Experience in model development for flow in non-newtonian slurries.
  • Experience in some of the following areas; discrete element methods, multiphase lattice. Boltzmann methods or asymptotic analysis.
  • Experience of CFD analysis, specifically using ANSYS software.
  • Previous industrial experience.
Applications via: http://www.ul.ie/hrvacancies/