25/03/2021
The Human Resources Strategy for Researchers

VAC-2021-32 - PhD Position in Credible data-driven models "Data-driven patient-specific reduced-order models supporting decision making in bioengineering"

This job offer has expired


  • ORGANISATION/COMPANY
    Centre Internacional de Mètodes Numèrics en la Enginyeria
  • RESEARCH FIELD
    Engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    31/05/2021 12:00 - Europe/Brussels
  • LOCATION
    Spain › Barcelona
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40

OFFER DESCRIPTION

Title of the PhD project: Data-driven patient-specific reduced-order models supporting decision making in bioengineering

Numerical models are important tools for decision making in the broad field of biomedical engineering and, in particular, in computer-assisted surgery: from thrombectomy interventions [1] to cell mechanobiology and tissue engineering [2]. In this context, the systems and the phenomena to be modelled are extremely complex. The resulting computational models rely on a large number of input parameters (their values depend on the specific patient) and require using fine grids inducing high computational costs. Consequently, clinicians and experimentalists are, in practice, deprived of these models as a support for decision making. Moreover, the credibility of the results (associated with accuracy, robustness, and dispersion of the results) is jeopardized by the limited computational resources and the necessity of a prompt response. This calls for strategies that effectively reduce complexity and increase computational efficiency. Accordingly, this PhD project will be carried out in a strongly multidisciplinar environment (from Biomechanics to Computational Engineering) and will focus on developing, analyzing and implementing data-assisted parametric models of patient-specific vascular tissues and biocompatible structural devices. Emphasis is made on low-dimensional parametric models producing real-time responses [3,4], in front of parameter variations accounting for patient-specific features. A standard model might take hours or days of computational time, here we aim at seconds or minutes. The computational accuracy and credibility of the surrogate models devised in the project will be assessed using verification and validation strategies.

The functions assigned to the candidate will be:

  • Complete a PhD on Civil Engineering at Universitat Politècnica de Catalunya – Barcelona Tech. The candidate is expected to complete the PhD thesis in a maximum of three years.
  • Collaborate with various research groups within CIMNE and worldwide, namely Laboratory of Biological Structure Mechanics, Dept. of Chemistry, Materials and Chemical engineering “G. Natta”, Politecnico di Milano
  • To publish a minimum of two papers in JCR journals during the PhD period, author and co-author articles in high-impact international journals
  • Carry out quality research, training and management.
  • Participate on the dissemination and outreach activities associated with the project
  • Participate in international conferences presenting her/his work

More Information

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Specific Requirements

  1. A bachelor and MSc degree (or equivalent) in Mathematics, Civil or Mechanical Engineering, Biomedical Engineering, Physics or a related field in a recognized high-education institution
  2. A good command of English
  3. An enthusiastic attitude to conduct research, being hard-worker and critic
  4. Knowledge of programming languages such as Matlab, Python, Fortran
  5. Familiarity and curiosity for data science and modelling.

Work location(s)
1 position(s) available at
Centre Internacional de Mètodes Numèrics en la Enginyeria
Spain
Barcelona
08034
C/Gran capità S/N, Edifici C-1, Campus Nord UPC

EURAXESS offer ID: 620087

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