Research Engineer for AI project in prostate cancer analysis from medical images

Télécharger l'offre au format PDF
Le descriptif de l’offre ci-dessous est en Anglais

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur  is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

Contexte et atouts du poste

This position takes place within the French national AICOO project, which brings together several innovative companies and both public and private clinical centers.

The AICOO project focuses on the analysis of multiparametric MRI images of the prostate. Inria's role in the project is to develop artificial intelligence (AI) capable of analyzing and interpreting MRI images in order to improve the diagnosis and monitoring of patients with prostate cancer.

Indeed, prostate cancer is one of the most common cancers affecting men in developed countries. Multiparametric Magnetic Resonance Imaging (mp-MRI), which involves the combined analysis of multiple MR sequences, is now regarded as the most accurate imaging method for detecting prostate cancer. However, a significant barrier to its widespread use as a diagnostic tool is the extensive training required for radiologists to perform accurate analyses.

This challenge has driven the development of decision support systems to assist radiologists in detecting, characterizing, and monitoring prostate cancer lesions.

Mission confiée

  • AI algorithm development: Participate in the design, implementation and optimization of image processing and machine learning algorithms to analyze multiparametric MRI images (T2, DWI, ADC, etc.).
  • Data collection and structuring: Ensure the generation, structuring and quality control of MRI image databases and associated clinical annotations.
  • Research and development: Participate in research on the latest techniques in artificial intelligence (deep learning, convolutional neural networks, etc.) and propose innovative solutions to address medical image analysis issues.
  • Clinical validation: Collaborate closely with clinicians (radiologists, urologists, etc.) to validate the results of the models developed and ensure their clinical relevance.
  • Documentation and scientific communication: Document research results, participate in the writing of scientific articles.

Principales activités

Main activities (5 maximum) :Design experimental platforms, Write documentation, Test until validation, Present the works’ progress to partners, Analyse the requirements of partners

 

Compétences

  • Expertise in artificial intelligence techniques: Expertise in machine learning and deep learning, particularly in the field of image processing (neural networks, segmentation, classification, anomaly detection, etc.).
  • Programming skills: Mastery of programming languages ​​such as Python, as well as AI libraries and frameworks (TensorFlow, Keras, PyTorch, etc.).
  • Knowledge of medical imaging: Knowledge of medical image formats (DICOM) and the specificities of multiparametric prostate MRI.
  • Ability to process massive data: Experience in handling large databases, data pipeline management, and image preprocessing.
  • Research spirit: Ability to conduct bibliographic research, propose solutions

Avantages

  • 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 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
  • Contribution to mutual insurance (subject to conditions)

Rémunération

From 2692 € gross monthly (according to degree and experience)