Eco-system and context :
IMT Atlantique internationally recognized for the quality of its research, is a leading technological university under the authority of the Ministry of Industry and Digital Technologies, ranked in the three main international rankings (THE, SHANGHAI, QS).
The position is open on the campus of Brest within the Image & Information Processing department.
IMT Atlantique has privileged relationships with major industrial national and international partners, as well as a dense network of SMEs, start-ups, and innovation networks. With 290 permanent faculty members, 2000 students among which 300 PhD students, IMT Atlantique produces every year 1000 publications and raises 18M€ of research funding.
The research activity is part of the Medical Information Processing Laboratory – LaTIM INSERM U1101, within the IMAGINE team, Axis “Data-based surgical management”. He will therefore have access to the US Interventional Imaging Platform – Averoes and the Platform for the Design and Evaluation of Innovative Medical Devices – PLaTIMed.
Education :
The education program of IMT Atlantique has been recognized as amongst the most innovative in French High Education and Research and offers large possibilities of developing innovative engineering curriculum and educational approach.
The candidate will contribute to the teaching “Healthcare Engineering”. He will be invited to propose related new educational projects, programs and methodologies, especially inspired by and supported by industrial requirements and partnerships. He will be closely associated with future Digital Health training programs.
He will be invited to propose new projects, programs, and related pedagogical methodologies, particularly the development of pedagogical innovations: digital content, E-learning, mixed reality platform for immersive distance learning due to the constraints of the clinical setting. The recruited person may be required to teach in French and English.
Specifically, he will be involved in teaching related to “CAMI”, “Medical devices and sensors”, “Connected medical devices”, relying on the platforms made available and promoting learning through practice and projects.
Documents to apply:
– Application file to download HERE
– CV + cover letter
– integration project on the 3 axes Teaching / Research / Development
– photocopy of identity card or passport
– photocopy of diplomas or a certificate of success
– report of the thesis defense
– reports from the two thesis jurors
– any other element that could support your application
Benefits :
-49 days of annual leave
– Possibility working at home
– Public transportation paid for
– Sustainable mobility package (for carpooling or cycling)
– Family supplement
– Wide range of social benefits
Expected competences Please read carefully the mandatory and expected qualities of candidates for Associate Professor positions at IMT Atlantique at the following address: https://www.imt-atlantique.fr/en/about/job-offers?arg=7767_2_8158 In the case of this open position, a special and complementary emphasis will be put on the candidates’ skills in the fields of healthcare technologies and more specifically on areas such as: data-driven interventional therapy, medical image analysis for interventional applications, connected medical devices for interventional therapies.
Deadline for applications: March 31st, 2023, 11:59 pm Paris time
Date of the recruitment interview: May 2023
Starting date: 2nd semester 2023
Thematic and research challenges :
The surgical block of the future for a minimally invasive and accurate intervention, a secure gesture, is becoming a reality thanks to methodological and technological innovations. The development of this new generation of interventional environments is based on
– innovative Virtual/Mixed Reality technologies and their integration into the operating room to optimize surgical assistance through personalized planning and multimodal intra-operative visualization.
– the development of accurate interventional imaging based on joint Ultrasound and X-Ray modalities.
-the development and integration into clinical routine of new sensors to optimize each phase of surgery: personalized pre-operative planning, minimally invasive intervention, and patient follow-up.
– the exploitation of heterogeneous data by artificial intelligence approaches to identify new signatures and new multimodal indicators allowing to evaluate or predict the evolution of a treatment or a complication during the different phases of a gesture surgical (pre-, per- and post-operative).
The activity will take place in a multidisciplinary context. The evaluation, optimization and validation of the various developments will be based on the LaTIM’s (LaTIM – INSERM U1101) technological and clinical research platforms, to facilitate technology transfers.
