Network-based biomarker discovery of Parkinson’s disease at various stages

November 30, 2022
Offerd Salary:Negotiation
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Contract Type:Other
Working Time:Negotigation
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2022-05472 - Network-based biomarker discovery of Parkinson's disease at various stages

Contract type : Internship agreement

Level of qualifications required : Master's or equivalent

Fonction : Internship Research

About the research centre or Inria department

The Inria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres and has more than thirty research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.


The selected person will work at Inria/IRISA, UMR CNRS 6074, among the Empenn U1228 team. The work will be in close link with a neuropsychologist from the Neurology Department ofRennes University Hospital (Neurology Dept.), associate researcher in the Empenn team.


The goal of this approach will be to identify the pattern of progression using the Parkinson's Progression Markers Initiative (PPMI) database, which is a longitudinal multi-site study of newly diagnosed untreated PD patients. To do so, the student will first analyze the functional and structural connectivity metrics at each stage. Then, the second objective for this position will be to look at how the integration of the functional and structural MRI data may allow a better definition of the brain change patterns that are related to classical pathways involved in Parkinson disease. After that, the student will develop a multi-stage approach using innovative machine learning methods, to provide non-invasive, reliable and easy-to-track candidate biomarkers for PD.


We look for candidates strongly motivated by challenging research topics in machine learning and neuroimaging. The applicant should present a good background in machine learning and applied mathematics. Basic knowledge in image processing would be a plus. Good knowledge of computer science aspects is also mandatory, especially in Python and Matlab.

Benefits package
  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Remuneration

    Grant of 3.90 € per hour

    General Information
  • Theme/Domain : Computational Neuroscience and Medicine
  • Town/city : Rennes
  • Inria Center : CRI Rennes - Bretagne Atlantique
  • Starting date : 2023-02-01
  • Duration of contract : 6 months
  • Deadline to apply : 2022-11-30
  • Contacts
  • Inria Team : EMPENN
  • Recruiter : Coloigner Julie /
  • About Inria

    Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

    Instruction to apply

    Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

    Recruitment Policy : As part of its diversity policy, all Inria positions are accessible to people with disabilities.

    Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.

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