Post-Doctoral position : Research Associate in Biomechanics - Deep learning automatic meshing in soft-tissue biomechanics - CDD de 1 an renouvelable

Job description

Mines Saint-Etienne (MSE), one of the graduate schools of Institut Mines Télécom, the #1 group of graduate schools of engineering and management in France under the supervision of the Ministry of the Economy, Industry and Digital Technology, is assigned missions of education, research and innovation, transfer to industry and scientific, technological and industrial culture.

MSE consists of 2,400 graduate and postgraduate students, 450 staff, a consolidated budget of €46M, three sites on the Saint-Etienne campus (Auvergne Rhone-Alpes region, Lyon Saint-Etienne metropolitan area), a campus in Gardanne (SUD region, Aix Marseille metropolitan area), a site in Lyon within the digital campus of Auvergne Rhone-Alpes Region, six research units, five teaching and research centres and one of the leading French science community centres (La Rotonde €1M budget and +40,000 visitors per year). The Times Higher Education World University Ranking ranked us for 2022 in the 251-300 range for Engineering and Technology. Our work environment is characterised by high Faculty-to-Student, Staff-to-Faculty and PhD-to-Faculty ratios, as well as comprehensive state-of-the-art experimental and computational facilities for research, teaching and transfer to industry.

The CIS brings together 70 people, including 18 professors in engineering industrial/computing, biomechanics and healthcare engineering. Since its creation in 2004, the CIS has been representative of the ability of Mines Saint-Etienne to acquire leadership on innovative themes such as, for example,

Soft tissue biomechanics. SAINBIOSE (INSERM UMR 1059) brings together researchers from the CIS (biomechanics, biomaterials and bioengineering), the faculty of Medicine from Jean Monnet University, Saint-Etienne University Hospital, Inserm and the French Blood Establishment. The global scientific objective of SAINBIOSE is a better understanding and of biostress in osteoarticular (LBTO team) and cardiovascular pathologie (DVH team).

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Biomechanics, experimental and computational, is a major research topic of SAINBIOSE, which goes from modelling the mechanical behaviour of tissues to clinical and industrial applications, especially with the textile industry.

Job requirements

1) Missions

We are planning to open a non-permanent position of research associate to conduct a project of "applied research" which consists of developing Deep Learning models to create patient-specific aortic meshes from medical images (CT scanner). The project is part of a of a collaboration between Mines Saint-Etienne and the company Predisurge.

The research will be carried out at Mines Saint-Etienne, within the SAINBIOSE research unit (Inserm U1059). It is based at the Centre Ingénierie et Santé (Hospital campus at the North of Saint-Etienne) with regular visits at Predisurge.

The successful candidate will contribute to a project aimed at developing Deep Learning models to create patient-specific aortic meshes from medical images (CT scanner). The work will be carried out in close collaboration with medical imaging experts, digital simulation engineers, clinicians and researchers in order to fully understand clinical needs and technical constraints.

The project will involve: 1) designing and developing efficient Deep Learning algorithms, suitable for industrial integration; 2) collaborating with clinicians and medical imaging experts to validate results and adapt methods according to clinical needs; 3) analyzing and interpreting results to optimize model performance; 4) writing and publishing scientific articles in international journals and presenting the results at conferences.

The project will take place in a research group having 15 years experience in arterial biomechanics ().

2) Profile of the candidate
The candidate should hold a PhD in computer science, biomedical engineering, image processing, artificial intelligence, or a related field, and should satisfy the following criteria:
-Capacity to manage projects and to successfully integrate a team and a group,
-Interest for partnership-based research: collaborative research, support to start-ups …,
-Experience in Deep Learning, ideally applied to medical imaging and/or biomechanics,
-Strong programming skills (Python, TensorFlow, PyTorch, etc.).
-Knowledge of medical imaging techniques (mainly CT scanner) and image analysis methods.
-Excellent writing and presentation skills in English and French.
-Motivation for applied problem related to medicine

3) Recruitment conditions

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