18/06/2019
Marie Skłodowska-Curie Actions

BoostUrCareer CoFund Ph.D Programme : DECISION

This job offer has expired


  • ORGANISATION/COMPANY
    Université Côte d'Azur
  • RESEARCH FIELD
    Computer scienceOther
    MathematicsOther
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    12/08/2019 17:00 - Europe/Brussels
  • LOCATION
    France › Nice
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37
  • OFFER STARTING DATE
    15/11/2019
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions COFUND
  • REFERENCE NUMBER
    SEP-210513493
  • MARIE CURIE GRANT AGREEMENT NUMBER
    847581

Deep Learning for Clinical Score Prediction

Datasets in medicine routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic and proteomic measures. The analysis of these datasets is challenging, especially when the number of measurements exceeds the number of individuals. Deep learning methods have brought breakthroughs in many fields including image recognition, video and sound analyses among others.

The DECISION PhD project aims to develop a novel clinical decision support system for diagnosis, prognosis and personalized treatment in the field of Psychiatry. It is worth noting that, in the European Union, more than 30% of people are affected each year by mental disorders.

The PhD student will process datasets consisting of both biological and clinical variables with a convolutional neural network. Her/his main objectives will be to show that such a deep neural network can make a piecewise linear approximation of the data manifold and that it can exploit this approximation to predict a (clinical) score defined over this manifold. Deep learning architectures are known to act as black boxes. By studying the theoretical properties of a deep architecture for linearizing the data manifold, we expect to make the results explainable.

This work will be done in collaboration with The King's College of London (UK).

 

Benefits

The programme will provide excellent working conditions to the ESRs:

  • Attractive salary of 2709,00 € (gross salary) per month, as well as, different allowances (between 815 and 1215 euros per month) ;
  • The legal working time is 37 hours per week, with a daily working duration that does not exceed 10 hours ;
  • Subsidized lunches and monthly pass for public transportation ;
  • A total amount of yearly vacations of 45 days ;
  • Paid sick leaves ;
  • Parental leaves following the birth/adoption of a child ;
  • Sick and parental leaves add up to the 42-month duration of the contract ;
  • In addition to their income, the doctoral candidates who have family obligations will receive an extra family allowance of €400 per month. Furthermore, they will benefit for each child of a monthly financial help from the French social security (calculations based on the household income and on the number of children under the age of 20).

 

Eligibility criteria

BoostUrCAreer will abide by the mobility rule defined for MSCA, the reference date being the call deadline, meaning applicants will only be eligible if they have lived or had their main activity (work, studies etc.) in France for less than 12 months within the past three years at the time of recruitment (November 15th).

Applicants must have a master’s degree or an international equivalent.

 

Selection process

The selection process is detailed in the Applicant Guide available on the BoostUrCAreer application website.

 

Web site for additional job details

Offer Requirements

  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Candidates should have (or expect to achieve prior to August 2019) a MSc degree (or equivalent) in Applied Mathematics or Computer Science (or a related discipline).

Specific Requirements

Applicants are expected to possess fundamental knowledge and skills in one or more of the following aspects:

  • Machine learning,
  • Deep learning,
  • Statistical estimation/decision theory,
  • Numerical optimization,
  • Good programming skills.

Work location(s)
25 position(s) available at
Université Côte d'Azur
France
France
Nice
06103
28 avenue Valrose

EURAXESS offer ID: 418634

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