BCAM - Basque Center for Applied Mathematics
PhD Position on High Performance Computing ESR6 for H2020 Project ENABLE
BCAM - Basque Center for Applied Mathematics
The Department of Education, Language policy and Culture of the Basque Government, The University of the Basque Country and Ikerbasque have promoted BCAM - Basque Center for Applied Mathematics, a world-class interdisciplinary research center on Applied Mathematics.
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Publicado: hace 23 días
Fecha límite de solicitud: may. 31
Ubicación: Bilbao, Bizkaia, España
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How to Apply
Send an email to the following address esr6-application@enable-project.com. Please, put in the subject of your email that your are applying for the ESR6 position and check that you meet all eligibility criteria.

Envisaged job starting date: 01/02/2019 (at the latest)

PhD Position on High Performance Computing ESR6 for H2020 Project ENABLE

Contract and offer: 3-year contract, extensible one year more as KTH employee
Salary and conditions: BCAM will appoint the successful applicant under an employment contract with a very competitive salary. Additional funding for participation to courses, workshops, conferences, etc. is ensured. Free access to the Public Health System in Spain is also provided to all employees. It will be your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency.
Application deadline: 31 May 2018 at 17:00 CET (UTC+1)

General Information
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: www.enable-project.com

EU Eligibility Criteria for Candidates

  • The ESR may be a national of a Member State, of an Associated Country or of any Third Country.
  • The applicant shall at the time of recruitment be in the first four years of his/her research career and have not been awarded a doctoral degree.
  • The ESR must not have resided or carried out her/his main activity (work, studies, etc.) in the country of her/his host organization for more than 12 months in the 3 years immediately prior to her/his recruitment (Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account).

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

Click on the link to see the job offer: http://www.enable-project.com/esrs.html



  • MSc degree (preferable in Mathematics, Computer Science, Mechanical Engineering or Material Science).
  • Solid knowledge and experience of computational mathematics and FEM is a requirement, as well as software development for distributed memory architectures.

Skills and track-record:

  • Good communication and interpersonal skills.
  • Ability to effectively communicate and present research ideas to researchers with different background (e.g., mathematicians and engineers).
  • Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Good command of verbal and written English. Programming competence in C++ and Python.

Scientific Profile:

  • The preferred candidate will have research interest in adaptive FEM in a high-performance scientific computing setting.

Application and Selection Process

Required documents:

  • CV
  • Letter of interest
  • 2 recommendation letters


Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. The selected candidates will be invited for an interview (on site or Skype). The selection committee is constituted by the supervisory team and the coordination team of ENABLE project.

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Ubicación: Bilbao, Bizkaia, España
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