ESBiomech24 Congress in Edinburgh

PhD in Multiscale simulations for translational explorations of emphysema

POSITION DESCRIPTION

-Research Project / Research Group Description:

The proposed PhD will involve the Biomechanics and Mechanobiology, the Image analysis and the machine learning laboratories of the BCN MedTech research unit at the University Pompeu Fabra (UPF). BCN MedTech focuses on biomedical integrative research, including mathematical and computational models, algorithms and systems for computer-aided diagnosis and treatment of health problems. It has 60 full time researchers and belongs to the Department of Information and Communication Technologies, awarded with the prestigious label of Unit of Excellence through the Spanish Maria de Maeztu Strategic Research Program.
The project focusses on multiscale modelling and simulations to identify early biomarker candidates in emphysema. Emphysema is the most harming form of chronic obstructive pulmonary diseases (COPD) and its current diagnostic is usually confirmed at a relatively advanced stage of disease progression, through computed tomography image analyses. In order to cope with this limitation and support the early prevention of emphysema progression, we propose a multiscale modelling approach that combines image analysis, tissue finite element modelling and cell-cytokines agent-based modelling. Such approach has already allowed successful simulation of emphysema progression, as a response to cigarette smoking [1]. The proposed PhD will push forward this research towards the use of disease mechanism models for the identification of early emphysema biomarkers.

-Job position description:

Specifically, the work will include
• The development and implementation of advanced constitutive equations for the lung parenchyma
• The systematic evaluation of computational networks to simulate the dynamics of the biological processes that control the turnover of parenchyma macromolecules
• The meta-analysis of patient data and multiscale simulation results
The grant is supported by a European Marie Sklodowska-Curie co-fund and provides a competitive gross annual salary of 34.800 € during a period of three years to attract young talents. This salary is supplemented by a research allowance of 3.564 € per year, and a PhD award of 7.500 € will be granted if the PhD thesis is submitted within 6 months after the end of the fellowship.

The successful candidate will work in the Poble Nou Campus of UPF, in the beautiful town of Barcelona, in collaboration with the Barcelona Super Computing center for the multiscale simulations, and with ISGlobal for epidemiological data.

Applicants are expected to have a bachelor’s and master’s degrees in biomedical engineering, physics, applied mathematics or any related fields. They should be motivated to work in an international environment and have good communication skills. Experience in Python programming is welcome and proficient English is mandatory.

– Deadline for application: February 6th 2019

Apply here: https://www.lacaixafellowships.org/index.aspx

For any inquiry, please contact Dr Jerome Noailly: Jerome.noailly@upf.edu

New post @Marco Viceconti’s group in Bologna: dissemination, communication, and community engagement on in silico medicine

In the frame of the Strituvad project we are opening a new position for communication officer.  The position is initially for 12 months, but can be extended for additional two.

The aim of this research contract is the creation of a community of practice around the emerging applications of the so-called in silico medicine, with particular reference to in silico trials, where modelling and simulation technologies are used for the certification of new drugs or medical devices. Under the guidance of Prof Marco Viceconti one of the tope world-wide experts on in silico medicine, the researcher will create the content and manage web sites, social network accounts, e-newsletters, and online communities allowing all those interested in the topic who work in academia, industry, consulting or service firms or in regulatory agencies to exchange good practices on the use of modelling and simulation in medicine. The post is funded by the EU project STRITUVAD, which aims to develop in silico methods to reduce the cost of clinical trials for new therapies for tuberculosis in developing countries where this disease is endemic.

The ideal candidate should have:

  • A Master degree (Laurea Magistrale) or equivalent title in scientific disciplines or Communication Science
  • Excellent knowledge of English language (written and spoken)
  • Priority will be given to candidates with experience in Science Communication, dissemination of research results, networking and community building among scientists, production of press releases

If you are interested apply here: https://www.aricweb.unibo.it/BandiPubblicati/zz_Bandi_din.aspx?strid=961

or contact me by email for further information.


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