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

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 di?erent 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) Informations générales Thème/Domaine : Neurosciences et médecine numériques Plateformes expérimentales logiciel (BAP E) Ville : Sophia Antipolis Centre Inria : Centre Inria d'Université Côte d'Azur Date de prise de fonction souhaitée : 2024-12-01 Durée de contrat : 2 ans, 6 mois Date limite pour postuler : 2024-11-30 Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti. Consignes pour postuler Applications must be submitted online on the Inria website. Collecting applications by other channels is not guaranteed. Sécurité défense : Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement. Politique de recrutement : Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap. Contacts Équipe Inria : EPIONE Recruteur : Delingette Hervé / [email protected] A propos d'Inria Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'e?orce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie. #J-18808-Ljbffr