2 Early-Stage Researcher PhD fellow positions (3-years) in the fields of Bioengineering,... (# of pos: 2)

Updated: about 2 months ago
Job Type: FullTime
Deadline: 25 May 2021

We would like to encourage applications from candidates worldwide wishing to pursue a PhD degree in the field of Bioengineering, with interest in the research areas related to: neurological disorders, precision medicine, machine learning, bioinformatics, molecular and multiscale modelling.

Politecnico di Torino, Italy, is offering a PhD Fellowship for 2 early-stage researchers (ESR), starting between 01.07.2021 and 01.11.2021 (to be decided with the applicant).

The ESRs will be hosted at the Department of Mechanical and Aerospace Engineering (DIMEAS) Moreover, the selected candidates will be enrolled in the Doctoral School of Politecnico di Torino with the option of being awarded a PhD Degree in Bioengineering and medical-surgical sciences, a Phd programme jointly established by Politecnico di Torino and Università degli Studi di Torino (administrative seat at PoliTo)

The PARENT Project

The positions are posted as part of the exciting PARENT project, PremAtuRe nEwborn motor and cogNitive impairmenTs: Early diagnosis (PARENT), funded by the European Union through the Horizon 2020 Marie Skłodowska-Curie Actions programme under Grant number 956394.Information on the PARENT project can be found at



The PARENT consortium comprises universities with researchers who are leading experts on motor and cognitive impairment diagnosis and treatment, medical diagnostics, clinical data digitalization, machine learning, mechanistic modelling, molecular and multiscale modelling, information and communication technologies.

PARENT Network of Excellence

The successful candidate will join an international network of 15 PhD Fellows (ESRs) to become part of the next generation of specialists able to challenge the traditional way of neurodevelopmental disease follow-ups, by adding to classical approaches methods and technologies such as multiscale and multiphysics modelling, artificial intelligence, hybrid neuroimaging technologies, automatized eye tracking for newborn. All of those technologies can be integrated in a last frontier of a modular intelligent decision support system built on cardinal principles such as Patient-Centred Design and Evidence-based and Personalized Medicine. Therefore, besides training ESRs on premature child related to neuro-diagnostic technologies, clinics, modelling, computer science and data management, PARENT emphasizes aspects related to ethics, privacy, and security which will be an integral part of the network's training program.

The position will offer you an excellent background, working within a strong, cross-disciplinary network among leading Universities and research institutions across Europe and with contacts to industry, governmental- and non-governmental institutions.

TOPIC: Modelling protein/ncRNA biochemical pathways related to neurological impairments with attention to premature newborns.

Description: The PhD will focus on the computational methods to model protein/ncRNAs biochemical pathways and to predict their target interactions in neurodevelopment diseases. Machine learning driven mechanistic modelling, bioinformatics, and molecular modelling techniques may be considered to study the ncRNAs-target interactions at both structural and functional level to shed light on the complex structure-to-function relationships among the neurodevelopmental disease trajectory, biochemical pathways and conformational properties of involved biomolecules.

TOPIC: Design and optimization of an integrative framework to predict neurodevelopmental trajectory

Description: The PhD will be focused on tailoring machine learning driven mechanistic modelling approaches to investigate the neurodevelopmental trajectory starting from early stage clinical and biochemical data. The research will consider basic principles of statistical mechanics and enhanced sampling technologies (molecular dynamics/monte Carlo techniques) and import them to develop predictors of pathology evolution. More in detail, mechanistic learning will be applied to clinical data analysis, behavioral data, images collection, processing, and biomarkers detection to discover the relationships among clinical data and the pathology development. Data will be provided by 4 hospitals partners of the PARENT project.

POLITO Supervisors:

Prof. Marco Agostino Deriu (DIMEAS), Politecnico di Torino. 

Prof. Jack A. Tuszynski (DIMEAS), Politecnico di Torino.

Secondment Periods

The ESR 1 and 2 projects includes secondment periods to other beneficiaries and external partners of the PARENT Project (more information, will be given during the oral interview).


The following 6 criteria must be fulfilled in order to allow the enrolment.

CRITERIA for EU ITN MSCA H2020 projects
  • The applicant MUST NOT have resided and not have carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately before the recruitment date — unless as part of a procedure for obtaining refugee status under the Geneva Convention(N1) . If you are applying from a location that requires a visa or permit, then we will be able to provide support and advice throughout the process of relocation for you and your family. Feel free to ask us questions in advance if you need more information and reassurance.

  • Eligible researcher must not have spent -more than 12 months in the 3 years immediately prior to the date of selection in the same appointing international organization.

  • The applicant must be an Early-Stage Researcher (ESR) i.e. at the time of recruitment she/he must be in the first 4 years (full-time equivalent research experience) (N2) of her/his research career

  • The applicant must not have been awarded a doctoral degree.

  • Notes:

    (N1) 1951 Refugee Convention and the 1967 Protocol

    (N2) This is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited, irrespective of whether or not a doctorate is or was ever envisaged.

    Admission requirements for the PhD School of Politecnico di Torino
  • Master’s Degree (recognized valid by PoliTo Doctoral School):
  • M.Sc. degree in Physics, Chemistry, Engineering, Mathematics, Biology, or other strictly related to the above mentioned disciplines: Master Degree or equivalent

    Notice that Master’s Degree means the 2° level title, as defined by the Bologna Process, issued by an officially recognized academic institution, which grants admission in PhD programmes in the country of issuance.

    If you have not obtained your diploma yet, but expect to do so in the near future (before October 2021).

  • English language certificate (to be verified by PoliTo Doctoral School before the interviews):
  • One of the following certificates of English language knowledge, regardless of when they were issued:

    • Valid GRE certificate to be presented before the enrollment at PoliTO. If needed, the certificate can be obtained following a test at Politecnico di Torino.
    • IELTS with a minimum score of 5.0;
    • one of the language certificates recognized equivalent to IELTS 5.0 by the Foreign Languages Centre and detained in the table published at http://dottorato.polito.it/cla/en/certificates or a declaration of having a Ba. and/or M.Sc. degree issued by a University in which courses are taught in English, i.e. “The medium of instruction was English”.

    Application Procedure:

    The application, in English, must be submitted electronically ONLY using the Google Form


    do not send any document by email!

    Please consider that in order to evaluate the University career, the candidate should provide: Master’s Degree and transcript of records of the Master’s Degree, Bachelor’s Degree and transcript of records of the Bachelor’s Degree. The documents shall be issued by the relevant university in one of the following languages: Italian, English, French, Portuguese or Spanish.

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