13 PhD positions are available in the Marie Sklodowska-Curie Doctoral Network “MIRELAI - MIcroelectronics RELiability driven by Artificial Intelligence”. MIRELAI is the first European Industrial Doctorate Programme that trains researchers for the next generation of reliable microelectronics, more precisely electronic components and systems (ECS). MIRELAI unites world-class academic and industrial excellence along the electronics system value chain.
The consortium includes 8 industries, 4 SMEs and 9 research organisations and academic institutions from 7 European countries: Polymer Competence Center Leoben GmBH, Politecnico di Milano, Technische Universität Chemnitz, Delft University of Technology, VZW Interuniversitair Micro-Electronica Centrum, ams AG, AT & S Austria Technologie & Systemtechnik AG, Robert Bosch GmbH, Berliner Nanotest und Design GmbH, Nexperia BV, NXP Semiconductors N.V., Reden B.V, Siemens Industry Software NV, Technoprobe S.p.A., University of Greenwich, Materials Consultancy Services Ltd., accelopment Schweiz AG, Katholieke Universiteit Leuven, Montanuniversität Leoben, Materials Center Leoben Forschung GmbH, Signify N.V.
Shared hosting and joint supervision by the industry and academia of each of the 13 doctoral candidates ensures optimal knowledge transfer.
The successful candidates will benefit from an international scientific network of academic and industrial partners with research excellence in microelectronics reliability based on experimental characterization, simulation, and data-driven approaches
Personalised career development plans will be established to support the needs of the Doctoral Candidate
The Doctoral Candidate will receive an attractive salary in accordance with the MSCA regulations. The financial package will include:
Living allowance of €3,400 (country correction coefficient applies),
Mobility allowance of €600,
Family allowance (€660), if applicable. The exact (net) salary will be confirmed upon appointment and is dependent on local tax, social and health insurance regulations and on the country correction factor
Specific Eligibility Criteria on the Horizon Europe: Marie Skłodowska-Curie (MSCA) programme apply, including the mobility rule and PhD rules. Applicants of any nationality are welcome.
MSCA mobility rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host organisation for more than 12 months in the 3 years immediately before the recruitment date.
PhD rule: Supported researchers must be doctoral candidates, i.e., not already in possession of a doctoral degree at the date of the recruitment.
Additionally, PhD applicants must fulfil the local requirements of the recruiting institutions listed in the project website.
Required Research Experiences
YEARS OF RESEARCH EXPERIENCE
1 - 4
REQUIRED EDUCATION LEVEL
Engineering: Master Degree or equivalent
Candidates are invited to check on MIRELAI website https://mirelai.eu/ for the specific description of the 13 PhD projects and the required skills. The following PhD projects are available (as a PhD student, you will be employed for 18 months each by the two organisations):
PhD position 1: Criticality assessment methodology for PCBA features
PhD position 2: Global criticality assessment based on feature surrogates
Polymer Competence Center Leoben GmbH (PCCL) and AT&S Austria Technologie & Systemtechnik AG (AT&S), both in Austria
PhD position 3: Optical package reliability assessment based on metamodels
Polymer Competence Center Leoben GmbH (PCCL) and ams-OSRAM AG, both in Austria
PhD position 4: Accurate digital twins on component level
PhD position 5: Physics-informed machine learning for simulations of semiconductor devices
Delft University of Technology and Reden B.V, both in the Netherlands
PhD position 6: Reliability of IC packages under small loading conditions
Delft University of Technology and NXP Semiconductors N.V., both in the Netherlands
PhD position 7: Real-time monitoring of the remaining useful life of an electronic system based on the digital twin concepts
Siemens and IMEC, both in Belgium
PhD position 8: Real-time monitoring of the remaining useful life of an electronic system with a data-based approach
IMEC and Siemens, both in Belgium
PhD position 9: Virtual electro-thermal failure prediction for automotive power modules on PCB
Delft University of Technology (the Netherlands) and Robert Bosch GmbH (Germany)
PhD position 10: Microstructure Informed Modelling and AI for Reliability Predictions
University of Greenwich (UOG) and Materials Consultancy Services (MCS), both in UK
Disclaimer: This position will be funded by UK Research and Innovation within the framework of the Horizon Europe guarantee funding
PhD position 11: Intelligent inline failure analysis based on thermal imaging and AI
TU Chemnitz and Nanotest, both in Germany
PhD position 12: AI-assisted design of high-performance and high-reliability probe technologies for EWS applications
PhD position 13: AI-assisted design of high-performance and high-reliability probe technologies for EWS applications
Politecnico di Milano and Technoprobe, both in Italy
Since all projects are carried out in collaboration with other groups of the MIRELAI consortium, visits to their premises are expected during the project (planned mobility assignments). A willingness to travel and spend time abroad is therefore essential.
Our selection procedure for PhD position is open, transparent, merit-based and in line with the principles set out in the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers
The application dossier needs to be submitted as a single PDF file to the email address of the Supervisor (see MIRELAI website). Please indicate in the subject line: ‘MIRELAI: PhD position 0x - your name‘
Pre-selected candidates will be invited for interviews. Unsuccessful applicants will not receive any notification
Please check the MIRELAI website for further details (detailed project description, the list or requested documents, timeline and starting dates for each PhD position).
Further information on MIRELAI project
Project website: https://mirelai.eu/