14/06/2017

RESEARCH ENGINEER: ANALYST in COMPUTATIONAL NEUROSCIENCE


  • ORGANISATION/COMPANY
    INSERM
  • RESEARCH FIELD
    Computer scienceModelling tools
    NeurosciencesNeuroinformatics
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    14/07/2017 23:00 - Europe/Brussels
  • LOCATION
    France › Orsay
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    03/09/2017

https://www.inserm-u1000.u-psud.fr/wp-content/uploads/2017/06/Inserm_job-IT-English_U1000_data-scientist.pdf

Job title : ANALYST in computational neuroscience

DESCRIPTION

job-type: Research Engineer – expert in Big Data analysis, Deep Learning

The research engineer will analyze new data tackling the development of mental disorders in cohorts of children, adolescents, and adults followed up for years. The laboratory hosts international and regional mutidisciplinary databases obtained from thousand of participants.

The engineer will implement new methods to analyze these « big data ». The core of the engineer task will be to adapt and test computational statistics methods to analyze the developmental variations in adolescence, and determine risk and protective factors useful for prevention, pronostic, or treatment monitoring, in syndromes such as depression, drug addiction, or autism.

He will supervise students and advise the researchers, in order to develop a team. He will contribute to draft and bring manuscripts to publication in leading journals.

Other activities: The engineer will implement quality-control procedures for clinical, neuroimaging, and genetic measures (e.g., questionnaires and behaviour measures, structural and functional magnetic resonance imaging, GWAS).

He will establish collaborations with laboratories harnessing the data in Europe and US

 

DURATION & SALARY

Duration : 3 years –extension possible to 5 years - evolving to permanent Research Engineer (INSERM examination)

Salary : INSERM - according to CV

Social security INSERM

Starting Date : between july and end of september 2017

 

REQUIREMENTS

 

Experience in Big Data tackling with multivariate analysis methods (ICA, PCA), AI predictive analytics (e.g. machine learning, classification), or network analysis. The Engineer will explore how deep learning can be used to deal with multiscale multidimensional biomedical data.

Familiarity with Unix or Linux.

Solid background in programming, especially in Matlab, R, Python…

English : B2, C1, or C2

Previous experience in predictive epidemiology applied to healthcare, or in computational neuroscience, or in brain imaging, would be a plus.

PhD Degree in computational statistics, engineering, or equivalent.

 

 

APPLICATION

Candidates should send a CV, a statement of research interests, and potential references to:

jean-luc.martinot@inserm.fr

Selection process

Candidates should send a CV, a statement of research interests, and potential references to:

jean–luc.martinot@inserm.fr

Web site for additional job details

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: PhD or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent
    FRENCH: Good

Skills/Qualifications

https://www.inserm-u1000.u-psud.fr/wp-content/uploads/2017/06/Inserm_job...

DURATION & SALARY

Duration : 3 years –extension possible to 5 years - evolving to permanent Research Engineer (INSERM examination)

Salary : INSERM - according to CV - Social security INSERM

Starting Date : between july and end of september 2017

 

DESCRIPTION

job-type: Research Engineer – expert in Big Data analysis – Deep Learning

The research engineer will analyze new data tackling the development of mental disorders in cohorts of children, adolescents, and adults followed up for years. The laboratory hosts international and regional mutidisciplinary databases obtained from thousand of participants.

The engineer will implement new methods to analyze these « big data ». The core of the engineer task will be to adapt and test computational statistics methods to analyze the developmental variations in adolescence, and determine risk and protective factors useful for prevention, pronostic, or treatment monitoring, in syndromes such as depression, drug addiction, or autism.

He will supervise students and advise the researchers, in order to develop a team. He will contribute to draft and bring manuscripts to publication in leading journals.

Other activities: The engineer will implement quality-control procedures for clinical, neuroimaging, and genetic measures (e.g., questionnaires and behaviour measures, structural and functional magnetic resonance imaging, GWAS).

He will establish collaborations with laboratories harnessing the data in Europe and US

Specific Requirements

Experience in Big Data tackling with multivariate analysis methods (ICA, PCA), AI predictive analytics (e.g. machine learning, classification), or network analysis. The Engineer will explore how deep learning can be used to deal with multiscale multidimensional biomedical data.

Familiarity with Unix or Linux.

Solid background in programming, especially in Matlab, R, Python…

English : B2, C1, or C2

Previous experience in predictive epidemiology applied to healthcare, or in computational neuroscience, or in brain imaging, would be a plus.

Work location(s)
1 position(s) available at
INSERM U 1000
France
Orsay
91401
4 Place General Leclerc , SHFJ - CEA

Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)

Know more about it at INSERM

Know more about OTM-R

EURAXESS offer ID: 224807