We are seeking a motivated and capable Postdoctoral Researcher to provide support for the delivery of a research project funded by the UK Engineering and Physical Sciences Research Council (EPSRC) entitled “Real-time Virtual Prototypes for the Power Electronics Supply Chain”. The programme will focus on research in real-time models for the mechanical (stress) responses of power electronic components enabled by methods for multi-scale finite element analysis and Model Order Reduction (MOR) numerical techniques, and model validation. The project will be undertaken in collaboration with the University of Nottingham and supported by several industrial partners including Dynex Semiconductors and Advanced Electrical Machines.
This role is full-time for a fixed term of 30 months. The successful candidate will be expected to commence as soon as possible.
The role holder will work within the Computational Mechanics and Reliability Group (CMRG) at the University of Greenwich, as part of an experienced research team, to deliver the project. The post is located at the Greenwich Campus, in the historic Old Royal Naval College on the banks of the river Thames in London.
We are interested to receive applications from candidates with inter-disciplinary knowledge and experience in modelling and simulation, in the following areas: (1) computational mechanics, (2) thermo-mechanical modelling using Finite Element (FE) method and FE simulation software (e.g. ANSYS), (3) numerical modelling and scientific computing (e.g. MATLAB), and (4) modelling of material degradation and wear-out, reliability prediction models. Familiarity with failure modes of electronic components is beneficial. The ethos of the post is directed towards applied research and collaborative working.
Main duties will be to undertake research into computationally efficient approaches and techniques for modelling the thermomechanical-induced damage evolution and reliability/wear-out models of power electronic components, accounting for the non-linear material behaviour of their internal structures and predicting their time to failure under application-tailored operational loads. To complement the modelling work and to validate developed models, the role holder will have excellent support from the team and state-of-the-art experimental facilities at the University of Nottingham.
Candidates should have PhD in relevant subject area, or detailed and explicit timeline for very near-term completion.
Informal enquiries may be directed to Dr Stoyanov via email [email protected].
Should you have any recruitment related queries please contact the People Directorate Operations Team on [email protected]
Employment Visa: Under the UK Government Points Based System scheme this role does meet the criteria to be sponsored for a Skilled Worker Route application.
We are committed to building a strong, diverse workforce that reflects the communities we serve. We particularly encourage applications from [protected characteristic(s)], who are currently under-represented within the University of Greenwich at these levels/within these areas.
We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, disabled and LGBT+ people. As part of our commitment to Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.
Further details: Job Description & Person Specification