Research Assistant/Associate in Particle Modelling
Newcastle University
Newcastle, GB
4d ago

Research Assistant / Associate in Particle Modelling

Requisition ID : 12562 Location :

Newcastle, GB

Contract Type : Fixed Term Working Pattern : Full Time Posted Date : 07-Oct-2021

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England.

Attracting and retaining high-calibre people is fundamental to our continued success.

Salary :

Research Assistant : £28,756 - £29,614, with progression to £30,497 per annum

Research Associate : £31,406 - £33,309, with progression to £40,927 per annum

Closing Date : 16 November 2021

The Role

We are delighted to have you join the Geotechnics and Structures (GEST) group, in the School of Engineering, which boasts world-leading expertise, research and education in Geotechnical and Structural Engineering.

You will work on the EPSRC funded project EP / V053655 / 1 : RAILSANDING : modelling particle behaviour in the rail-wheel interface’.

The rail-wheel interface is a multi-scale, multi-phase problem which has a highly transitory condition and it is exposed to open operating environments that can produce a variety of contaminations.

Understanding the physical and chemical interactions at the interface is challenging, but it is essential and the only route to tackle the problem.

In this project, a predictive computational model to simulate adhesion enhancement using sand particles in the rail-wheel interface will be a deliverable.

This tool will be calibrated using experimental data at the micro-scale and validated using a full-scale rail-wheel set-up in collaboration with Prof Roger Lewis at the University of Sheffield.

Running computational parametric simulations will lead to underscoring the crucial role of particle characteristics to assess the current assumptions stated in the Rail Standard Safety Board standard catalogue.

The project is in collaboration with the University of Sheffield, Harvard University, Rail Standard Safety Board, Virtual Vehicle and Altair Engineering.

  • You will also lead and deliver across the full range of activities consistent with the conduct of exceptional world-class research, inter alia;
  • driving and conducting research, project management, liaising with project partners and collaborators, dissemination and deriving impact from the research, including generation of scientific outputs and further funding proposals.

    As part of our commitment to career development for research colleagues, the University has developed 3 levels of . These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.

    This position is full time on a fixed term basis until 21 February 2024.

    Further particulars and informal enquiries may be addressed to Dr Sadegh Nadimi (Lecturer) via email :

    Key Accountabilities

  • Developing a CFD-DEM model for predicting particle entrainment
  • Developing algorithm and methods for processing of the data and turning it into output in pursuit of the project aims.
  • Project management and reporting tasks, including attending and chairing meetings, time and task management, internal and external reporting.
  • Wider dissemination of research results, including scientific papers, presentations and contributions to web and other electronic media.
  • Participating in opportunities for generating wider impact from the research including leadership in developing additional funding proposals and interactions with other projects and relevant initiatives.
  • The Person (Essential)

    Knowledge, Skills and Experience

  • Research active with clear transferable skills and some experience or awareness of the research environment;
  • The ability to communicate complex information clearly, both orally and through the written word;
  • Experience in Discrete Element Modelling.
  • Desirable

  • Track record of presentations at conferences and high-quality journal publications;
  • Previous experience in particle characterisation;
  • Previous experience in Computational Fluid Dynamics;
  • Previous experience in coupling numerical methods.
  • Attributes and Behaviour

  • Ability to work on your own initiative and to set deadlines / objectives;
  • Ability to work with a diverse stakeholder group including industry, academia and other partners;
  • Ability to communicate clearly and appropriately;
  • Potential for research leadership.
  • Qualifications

  • Good honours degree or equivalent in a relevant subject (Civil Engineering, Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or other closely related discipline);
  • PhD awarded (Associate level) or nearing completion (Assistant level) in relevant subject area.
  • Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society.

    We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.

    We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status / civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

    The University holds a silver award in recognition of our good employment practices for the advancement of gender equality.

    The University also holds the award for our work to support the career development of our researchers, and is a member of the initiative supporting researchers in Europe.

    We understand how important the full employment package is to our colleagues at Newcastle University and we are committed to providing a great range of benefits and discounts for all.

    You can learn more about what is available here on our .

    Requisition ID : 12562

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