2021-03532 - Post-Doctoral Research Visit F/M [Campagne post-doctorants] - Deep learning for brain imaging

Renewable contract : Oui

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit

Context

You will work within the ARAMIS lab (www.aramislab.fr) at Inria and at the Paris Brain Institute. The institute is ideally located at the heart of the Pitié-Salpêtrière hospital, downtown Paris.

The ARAMIS lab is dedicated to the development of new computational approaches for the analysis of large neuroimaging and clinical data sets. With about 35 people, the lab has a multidisciplinary composition, bringing together researchers in machine learning and statistics and medical doctors (neurologists, neuroradiologists).

The research project will be carried out within the framework of the Olivier Colliot Chair at the Interdisciplinary Institute of Artificial Intelligence (3IA) PRAIRIE (http://prairie-institute.fr/ ), one of the four 3IA institutes created as part of the French plan for artificial intelligence.

Assignment

Working within the ARAMIS team, the researcher's mission will be to develop research on the topic of deep learning for brain imaging. More specifically, the research project can tackle one of the following subjects or their combination:

- interpretable deep learning through joint training (e.g. joint segmentation, classification and grading)

- automatic classification for differential diagnosis

- training and validation from very large scale clinical routine datasets (N>100,000)

- integration of medical image analysis and natural language processing

- reproducibility of machine learning systems

He/she will be able to contribute to the training and co-supervision of students (Master, PhD).  

Main activities

- Develop research in the field of deep learning for brain imaging

- Write scientific articles for publication in international journals and conference proceedings

- Present results at international conferences

- Contribute to the implementation and dissemination of open source software

- Provide advice and expertise and ensure training for students and engineers

Skills

- Good writing skills

- Good communication skills

Benefits package

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training