UNIVERSITY OF MANCHESTER

Research Associate in Computational Modelling of Flows of Emulsions

Location
Manchester, United Kingdom
Salary
£32,236 to £39,609 per annum, depending on experience
Posted
09 Oct 2018
End of advertisement period
08 Nov 2018
Ref
S&E-12858
Contract Type
Permanent
Hours
Full Time

Location : Oxford Road, Manchester
Closing Date : 08/11/2018
Salary : £32,236 to £39,609 per annum, depending on experience
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering 
Division : 
Hours Per week : Full time
Contract Duration : Available immediately for 2.5 years

Applications are invited for a fully funded 2.5 years postdoctoral research associate (PDRA) to be conducted in the School of Chemical Engineering & Analytical Science at the University of Manchester. This project is a collaborative project supported by an EU Innovation Action involving a large consortium of academic institutions and private sectors that aims at establishing a new European Virtual Marketplace for material modelling.

You will participate in the development of a novel computational workflow to model the processing of emulsions. The workflow will combine different modelling techniques at different scales (from atomistic to continuum) and will be tested and validated against experimental data obtained in the laboratories of Unilever. The PDRA will work on the development of a model to simulate the flow of emulsions at the droplets scale using the Lattice-Boltzmann method and implement it into the Virtual Materials Market Place (VIMMP) created by the consortium.

The PDRA will work closely with researchers in Électricité de France (EDF), Politecnico di Torino (Italy) and Unilever. The project requires a strong link between the team developing the methodology and those developing the marketplace where the workflow will be implemented, therefore pre-knowledge in at least one scientific programming language is a requirement. The PDRA will be also involved in the knowledge transfer activities with all the industry stakeholders and will have the opportunity to directly work with several small and large private companies collaborating in developing the marketplace.

  • You should have experience in continuum simulations of flows using the Lattice-Boltzmann method
  • Good theoretical background in the fluid dynamics, turbulence and multiphase flows
  • Proficiency in one scientific programming language (Fortran, Python, C++, etc.) and the ability to translate theoretical concepts into algorithms is also required
  • It is also desirable that candidates have expertise in one or more of the following: (i) complex /non-Newtonian fluids; (ii) Colloidal Science
  • Candidates who have experience of working in a multidisciplinary project and working with industry will be particularly welcome

You should already hold or be nearing completion of a PhD/D.Phil. (or equivalent) in an area relevant to the position requirements. 

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff to achieve a good work-life balance. We particularly welcome applications from women for this post. An appointment will always be made on merit.

For further information, please visit:

http://www.ceas.manchester.ac.uk/about-us/athena-swan/

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Enquiries about vacancy shortlisting and interviews:

Name: Claudio Fonte

Email: claudio.fonte@manchester.ac.uk

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

This vacancy will close for applications at midnight on the closing date

Further Particulars and Job Description

S&E-12858 Research Associate in Computational Modelling of Flows of Emulsions FP's;  

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