12/02/2020
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ESR9 - Early Stage Researcher/PhD Position in biomechanics: Clinical image processing and Big Data analysis

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  • ORGANISATION/COMPANY
    Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanità Pubblica CNR - Regione Toscana
  • RESEARCH FIELD
    EngineeringBiomedical engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    02/06/2020 17:00 - Europe/London
  • LOCATION
    Switzerland › Bäch
    Italy › Massa
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    16/06/2020
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • REFERENCE NUMBER
    MEDITATE ESR9
  • MARIE CURIE GRANT AGREEMENT NUMBER
    859836

OFFER DESCRIPTION

Early Stage Researcher (ESR) PhD position in biomechanics within the framework of the project MeDiTATe (The medical digital twin for aneurysm prevention and treatment) funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions (MSCA) Innovative Training Networks (ITN) with Grant Agreement No. 859836.

MeDiTATe is a European Industrial Doctorate (EID). The whole project aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms.

The objective of ESR9 is to identify morphological/bio-humoral/hemodynamic variables which are of greatest importance in aneurysm stabilization or rapture, through big data analysis.  Big Data science refers to the massive amounts of multiple digital data sets that are captured, collected, integrated, and analysed. We intend to bring cutting edge frameworks and techniques in order to maximize Big Data potentials for knowledge discovery in Medical Digital Imaging field, with special focus on cardiovascular diseases (aortic aneurysm). Big data analytics in imaging field is crucial and difficult due to large imaging data to manage for a single patient. In modern hospitals data is consolidated in large PACS (Picture Archive and Communication Systems) installations. Data is related to the EHR (Electronic Health Record) environment by means of standard protocols and taxonomy. Every patient can have multiple studies related to a single pathology, and studies can have hundreds or thousands of images to be analysed. The proposed system must work in parallel with the installed systems (EHR and PACS) thanks to the DICOM (Digital and Communication in Medicine) standard protocol and HL7 (Health level 7) that permit to retrieve, analyse and compare data and are compatible with PACS or VNA (Vendor Neutral Archives) archives and EHR systems. Big data analytics has the potential to transform the way healthcare providers use technologies to gain insight from their clinical and other data repositories in order to make informed decisions. 

More Information

Benefits

The selected candidate will receive a salary in accordance with the MSCA regulations for ESR. The gross salary includes a living allowance (€3,270 per month, subject to MSCA country correction coefficient, i.e. 121.2 % for Switzerland and 104.4 % for Italy), a mobility allowance (€600 per month), and a family allowance (€500 per month, if the researcher has family by the date of recruitment, regardless of whether the family will move with the researcher or not). The guaranteed funding is for 36 months (i.e. EC funding). 

Eligibility criteria

Applicants can be of any nationality and must hold a Master of Science degree (or equivalent) in engineering. They need to fully respect both eligibility criteria (to be demonstrated in the Europass CV): (a) Early-Stage Researchers (ESRs) must, at the date of recruitment by the beneficiary, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. (b) Conditions of international mobility of researchers: Researchers are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. At the time of selection by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in Switzerland for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account. 

Selection process

Send CV, cover letter, BSc and MSc degrees, and letters of recommendation to all the following recipients: biancolini@ing.uniroma2.it, mauro.odino@technevalue.com and s.celi@ftgm.it

Additional comments

ESR9 will be enrolled in the PhD programme of the Department of Enterprise Engineering of the University of Rome “Tor Vergata” (UTV), Italy. The ESR’s individual project will be realized at two different places: (a) TechneValue GmbH – (Switzerland) under the supervision of Mr. Mauro Odino, dynamic entrepreneurial venture providing superior and innovative business IT solutions. Areas of expertise consist in multi-channel customer service and support, sales processes automation, marketing and analytics, mobile and contact centre solutions with a special experience on Big Data science that TechneValue intends to bring in Medical Digital Imaging field; (b) Fondazione Toscana G. Monasterio (Italy) in the BioCardioLab headed by Eng. S. Celi. It is a public entity specialized in healthcare and research activities in the field of cardiology, cardio-surgery and electrophysiology for the treatment of cardiopulmonary diseases, including rare disorders such as congenital heart defects. It has participated in several projects involving big data analysis, numerical simulation and image processing. A one-month secondment is foreseen at National Technical University of Athens (NTUA, Greece). 

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
    Computer science: Master Degree or equivalent
    Mathematics: Master Degree or equivalent
    Physics: Master Degree or equivalent
    Information science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Candidates with background in biomedical image processing and analysis, PACS system (Picture Archive and Communication Systems), DICOM (Digital and Communication in Medicine) standard protocol, HIS (Hospital Information System) and Machine Learning should apply for this position. Good programming skills (SQL, Java, Python) are needed. Motivation and interest in Multi-physics, Medical Informatics and Biomedical engineering is preferable. 

Work location(s)
1 position(s) available at
TechneValue GmbH
Switzerland
Bäch
1 position(s) available at
Fondazione Toscana G. Monasterio
Italy
Massa

EURAXESS offer ID: 491966

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