Faculty position at Telecom ParisTech

France Life Imaging; Palaiseau; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Une université de technologies cherche un Professeur Associé en modélisation d'images et apprentissage machine. Le candidat devra enseigner et développer des projets dans l'imagerie biomédicale. Une excellente formation académique ainsi qu'une expérience en enseignement sont requis. La position est permanente et sera située à Paris jusqu'en 2019.

Qualifications

• PhD ou équivalent requis.
• Dossier académique remarquable.
• Expérience d'enseignement souhaitée.

Responsabilités

• Enseigner des cours sur l'apprentissage machine et le traitement d'image.
• Développer des projets collaboratifs.
• Modéliser des méthodes d'image et d'intelligence artificielle.

Connaissances

Modélisation en informatique ou mathématique

Apprentissage machine et intelligence artificielle

Imagerie biomédicale

Compétences pédagogiques

Capacité à travailler en équipe

Formation

PhD ou équivalent

Description du poste

Type de structure

Telecom ParisTech, a CS/EE school of Université Paris-Saclay, is hiring an Associate Professor in the domain of image modeling and understanding. The position will be located in the Image Processing and Understanding Group, within the Signal and Image Processing department of the Information Processing and Communication Laboratory (LTCI).

Contexte et mission

The group aims at developing its research activities at the cross‑road for artificial intelligence and image understanding, with applications in the domain of health, in particular biomedical imaging: data and knowledge representation, reconciliation of uncertain, heterogeneous, inconsistent data, exploitation of domain knowledge to produce information of better quality, complete, patient specific, and to enrich automatically knowledge models, optimized analysis exploiting knowledge and reasoning methods, etc.

The association of symbolic and structural methods on the one hand (graphs, semantic networks, ontologies, spatial logics) and of numerical methods on the other hand (learning, image analysis, computer vision) is therefore of prime importance, but still under‑explored.

The applicant is expected to have competences and skills in the domain of image and artificial intelligence, including modeling, with a strong background in applied mathematics or computer sciences. The applicant should also show pedagogical skills and be able to teach in particular courses in machine learning and image processing. The candidate will also be encouraged to participate in new collaborative projects.

Required skills

• PhD or equivalent
• Outstanding academic record
• Strong knowledge, at both theoretical and applicative levels, in one or several of the following domains:
  • mathematical or computer science modeling for images
  • machine learning and artificial intelligence
  • biomedical imaging
• Experience in teaching if possible and pedagogical skills, ability to teach basic and advanced methods in machine learning, and applications in biomedical imaging.

Languages

• English
• French, or willing to learn french on the long term.

Desired skills

• A post‑doctoral or international experience, in an academic or industrial environment will be appreciated.

Other skills

• Team player, good social skills, able to develop international academic and industrial partnerships.
• Ability to attract grants and funding at national and European levels.
• Autonomous, self‑motivated.

Application

• The application file should be sent to the "service des Ressources Humaines" (recrutement[at]telecom-paristech.fr) with copy to isabelle.bloch[at]telecom-paristech.fr and should contain:
  • a detailed curriculum vitae
  • a letter of motivation
  • a document summarizing her/his experience in research and teaching, each of these activities being exposed with a thorough description of the different items
  • his/her three major publications
  • names, addresses and electronic addresses of two highly qualified faculty members able to make recommendation on the applicant
  • a research and teaching project (maximum length: 3 pages)
  • if relevant, a link to a web page with additional information (demonstrations, courses, complete publications…)

Important dates

• Deadline for applications: November 2, 2016.
• Interview of selected candidates: December 2, 2016
• Position start: beginning of 2017

Lieu

The position will be located in Paris until 2019, then at Plateau de Saclay, and is a permanent position.