Research Assistant Glasgow, Scotland
Job description
Salary: £30,619 - £34,314 per annum
Term: 0.7 FTE
Term: Fixed for 36 months
Closing Date: 22 May 2023
The Aerospace Centre of Excellence in the Department of Mechanical and Aerospace Engineering, seeks to appoint a Research Assistant to work in a Horizon Europe project entitled INDIGO - Integration and digital demonstration of low-emission aircraft technologies and airport Operations. The post is for a candidate with competencies in computational aerodynamics who will be engaged in research work to formulate multi-fidelity aerodynamic models for large aspect ratio wing aircraft featuring distributed hybrid electric propulsion. The preferred candidate should have or being close to earn an MEng in Aerospace Engineering or closely related field and willing to earn a PhD on the basis of the work carried out in INDIGO. The project is a collaborative project of 10 European partners such as DLR, CIRA, University of Bristol, University Carlos 3 Madrid, University of Braunschweig and University of Ruhr Bochum, Barcelona Supercomputing Centre and Riga Airport.
As a Research Assistant, you will conduct research activities as part of a team, working under the general supervision of senior colleagues. You will conduct literature reviews, research work at the frontier between computational fluid mechanics and machine learning formulating and implementing innovative data-driven methods to simulate aerodynamic flows and aerodynamic loads on nonconventional aircraft configurations. You will manage and prioritise your own workload and ensure that all activities are completed to deadlines and you will write up the results of your own research and contribute to the production of research reports and publications. You will assist, where required, with relevant teaching and knowledge exchange activities.
To be considered for the role, you will be educated to a minimum of MEng degree level in aerospace engineering, engineering mathematics or affine field, and you will have sufficient breadth or depth of knowledge in fluid mechanics, computational science and numerical mathematics. You will have knowledge of appropriate research methods, have an ability to plan and prioritise your own workload, with general supervision, and you will have an ability to work within a team environment. You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.
Informal enquiries about the post can be directed to Marco Fossati, Reader ([email protected]).
