PhD Position on High Performance Computing - ESR6 for H2020 Project ENABLE (GA no. 764979)

BCAM - Basque Center for Applied Mathematics is looking for 1 PhD Student in the field of High Performance Computing, under the supervision of:

  • Johan Jansson, CFD Computational Technology research line leader at BCAM (Spain) and Assistant Professor at KTH (Sweden)
  • Franck Girot, Ikerbasque Research Professor at UPV/EHU (Spain)

This position is one of the 9 positions available within the ENABLE project, financed by the EU under the Marie Skłodowska-Curie actions in the H2020-MSCA-ITN Program.

The European Training Network actively involves academics and industrial partners in training a new generation of young researchers for the future of manufacturing. By developing new solutions for forecasting and mastering processes relevant for all factories using metallic alloys, ENABLE proposes a complete rethink of the usual process simulation methods. Innovative multiscale (from microscopic to macroscopic scales), and multi-physics (strong thermomechanical and microstructural couplings) are addressed multi-level advanced (TRL 1 to 8) simulation. We will perform these simulation on several widely-used processes: Machining, Friction Stir Welding and Additive Manufacturing, to address the needs of our wide range of industrial partners. Titanium, Nickel based and Aluminium alloys, the most popular metals in industry, have been chosen for this scientific investigation.

ENABLE will develop new tools that are better suited to production addressing such issues as reduced premature wear, increased service life, improved tools, etc. which will reduce production time and thereby production costs.

Training Programme for ESRs

A group of 9 Early Stage Researchers will be trained within world leading research teams. They will be introduced to novel approaches and applications while exploiting advances in fundamental research. To “enable” this vision, each trainee will join a team of closely integrated world-class experts in mechanical science, materials science and computer science/numerical methods.

Additional cross-disciplinary training (intellectual property, patenting, entrepreneurship, communication, open science, gender balance awareness, etc.) and a strong involvement on the part of the 12 Industries, SMEs, and research centres will provide the students with transferable skills and complementary competencies which will improve their research abilities and enhance their future employability.

About ENABLE Project

  • 6 countries : France, Spain, Sweden, Belgium, Denmark and United Kingdom.
  • 5 universities : University of Bordeaux, École Nationale Supérieure des Mines de Paris, École Nationale des Ingénieurs de Tarbes, Luleå Technology University, University of Basque Country.
  • 3 research centres: Basque Centre for Applied Mathematics (BCAM), Danish Advanced Manufacturing Research Centre (DAMRC) and Lortek.
  • 9 companies : Tecnalia, Safran Tech, Sirris, Innovation plasturgie composites, GKN Aerospace, Metallicadour, Timet, ESI Group et Sandvik Coromant.

To learn more about each of the nine thesis topics proposed in this project, please click on the following link:

ESR6 Researcher Profile

  • Title: Development and implementation of computational methods in the open source automated massively parallel FEniCS framework. Ap- plication to multiplatform portability.
  • Objective of the PhD project: To develop and implement computational methods for the future of manufacturing of metals in the open source automated massively parallel FEniCS framework, in collaboration with leading researchers and companies in the ENABLE project. The research will focus on highly efficient general continuum modelling with adaptive error control in the Unified Continuum methodology, and to develop the FEniCS framework in general to support this type of advanced modelling.
  • Mobility: Visits to private sector partners and 10 months of secondment will be mandatory, to provide the ESRs with good exposure to the job market and private sector requirements
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