School of Computing & Mathematical Sciences
Location: Greenwich Campus
Salary: Up to £40157
Contract Type: Fixed Term – 18 Months
Release Date: Thursday 17 November 2022
Closing Date: Tuesday 20 December 2022
Interview Date: Monday 09 January 2023
Reference: 3604
The European Union Marie Skłodowska-Curie Actions (MSCA) Industrial Doctorate programme MIcroelectronics RELiability pushed by Artificial Intelligence (MIRELAI) is on the lookout for gifted and motivated Doctoral Candidates (DCs) with the abilities, information, and enthusiasm to assist the industry-academia community make important analysis breakthroughs. MIRELAI targets to deal with key strategic challenges confronted by the microelectronics {industry} for delivering the following era of dependable digital elements and methods (ECS).
The DCs shall be a part of a robust professional community and thru interactions and collaborations will work in the direction of joint challenge goals. Shared internet hosting and joint supervision by the {industry} and academia of every of the 13 doctoral candidate initiatives targets an optimum coaching and information switch throughout the partnership. DCs will enrol in PhD diploma programmes and be employed for 36 months by the respective academic-industrial partnership challenge, in a community composed of 14 beneficiaries and seven related companions from 7 European nations. For extra particulars go to the official programme web site at https://mirelai.eu.
The DC challenge “Microstructure Informed Modelling and AI for Reliability Predictions” is undertaken in collaboration with MCS Ltd and presents a prestigious three-year MSCA PhD programme aimed toward a novel method for reliability alongside the digital elements and methods worth chain. The profitable candidate will profit from a global scientific community of educational and industrial companions with analysis and coaching excellence in microelectronics reliability.
Project description:
The analysis will concentrate on a brand new microstructure-informed reliability prediction method for microelectronics packaging and element meeting designs primarily based on:
- Combination of state-of-the-art metrology and failure characterization strategies and physics-of-failure modelling and machine studying strategies.
- Diagnosis of the electronics meeting’s present well being and prognosis of how degradation will progress over time.
Required paperwork: Complete purposes in English ought to embody: CV and replica of diploma , Letter of motivation, Letter of advice, English language proficiency certificates(s) (for candidates from non-majority English talking nations).
The software file to be submitted as a single PDF file to [email protected] by the time limit for purposes 20-12-2022. Please point out within the topic line: ‘MIRELAI: PhD place 10 – your title‘
Shortlisted candidates shall be invited for interviews by 09-01-2023.
For casual discussions about this function please contact Dr Stoyan Stoyanov on [email protected]
https://information.google.com/__i/rss/rd/articles/CBMiYWh0dHBzOi8vd3d3LnRpbWVzaGlnaGVyZWR1Y2F0aW9uLmNvbS91bmlqb2JzL2xpc3RpbmcvMzE2OTUxL21pcmVsYWktcHJvamVjdC1kb2N0b3JhdGUtcmVzZWFyY2hlci_SAQA?oc=5
