High Performance Computing infrastructure for Numerical Analysis of Metal Additive Manufacturing Systems Using Artificial Intelligence (AI4AM), CUP: I53C24001770006, Project code: EFRE1052, Programme ERDF 2021-2027

Italian Ministry of Education, University and Research; Italia; On-site; EUR 40,000 - 70,000; Full time

Job summary

Libera Università di Bolzano cerca un ricercatore per supportare lo sviluppo e la validazione di metodi computazionali per PDE e modelli agli elementi finiti. Il candidato lavorerà su codici di simulazione, includendo architetture parallele e infrastrutture HPC del laboratorio di intelligenza artificiale, analizzando dati numerici ed esperimenti per modelli predittivi.

Responsibilities

• Supporto nello sviluppo, implementazione e validazione di metodi computazionali per PDE e modelli agli elementi finiti.
• Implementazione e ottimizzazione di codici di simulazione, anche su architetture parallele e infrastrutture HPC dell laboratorio di intelligenza artificiale.
• Elaborazione e interpretazione di dati numerici/experimental per costruire modelli predittivi; documentazione e reporting periodico.

Job description

Organisation/Company Libera Università di Bolzano Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 21 Oct 2026 - 12:00 (UTC) Country Italy Type of Contract Other Job Status Other Offer Starting Date 1 Jan 1970 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The selected candidate will, in coordination with the scientific supervisor, support activities related to the development, implementation, and validation of computational methods for problems described by partial differential equations and finite element models. The activities will include the implementation and optimisation of simulation codes, including on parallel architectures and on the high-performance computing infrastructure of the artificial intelligence laboratory, as well as the processing and interpretation of numerical and/or experimental data supporting the construction of predictive models. Applications will concern, in particular but not exclusively, metal additive manufacturing and the related thermo-mechanical processes. The activity will be carried out at the university premises and involves documenting the codes developed and reporting periodically on the activities performed.