Techniques to reduce the computational complexity in heat conduction and thermo-mechanics

1 Research Collaborator position
(Deadline January 11th, 2016 12:00 )

Thermo-mechanics, Fracture mechanics, Computational methods, Model order reduction techniques


Development of model order reduction techniques to simplify the complexity of heat conduction and thermo-mechanical simulations of photovoltaic modules; development of numerical methods for the solution of partial differential equations in thermo-mechanical problems involving laminates.

Formal requirements

Possession of a 4 or 5-years undergraduate degree or equivalent MSc’s level education in Engineering, Physics or related areas. Experience in the development of techniques to reduce the computational complexity of mathematical models in numerical simulations, model order reduction techniques, with applications to heat conduction, thermo-mechanics, and modelling of thermo-visco-elastic materials are requested skills. The candidate must have a curriculum with a suitable scientific and professional background for carrying out research activity in the required field. Excellent knowledge of English, both written and spoken.

Specific requirements

Articles published in scientific journals, in conference proceedings, and doctoral experience confirming the requested skills


“CA2PVM - Multi-field and multi-scale Computational Approach to design and durability of PhotoVoltaic Modules” financed in the framework of FP7 ERC Starting grant

Scientific area

Ingegneria Civile e Architettura, Settore Scientifico Disciplinare ICAR/08 Scienza delle Costruzioni

Gross amount

€ 25.000,00/ a year


1 year renewable based on funding availability, and up to the end of the project “CA2PVM - Multi-field and multi-scale Computational Approach to design and durability of PhotoVoltaic Modules”

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Assegno di ricerca
Full call
Calendar latest update

February 3rd, 2016 from 9:30 am - Piazza San Ponziano, 6 Lucca

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Preliminary shortlist
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Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.


  • Personal info and contact info (compulsory)
  • Number of your Identity Document (Passport or Identity Card) (compulsory)
  • University degree and ongoing PhD (compulsory)


  • Your CV in English (compulsory)