Job title:
PostDoc Title: Deep learning for the prevention, diagnosis and monitoring of knee injuries in athletes
Company:
Job description
Offer DescriptionBrief description and estimated completion date of the project :Knee injuries are the most frequent traumatic pathologies in sports. Among other things, the management of cruciate ligament (CL) pathologies necessarily raises the question of return to sport, whether competitive or non-competitive, and even constitutes a public health issue. This project therefore aims to improve knee injury prevention by developing an artificial intelligence algorithm for classifying healthy and experimentally impaired motor performance. We hypothesize that training a neural network model to discriminate between time series of biomechanical signals of healthy and impaired motor performance will enable better prediction of knee injury risk. This project therefore aims to produce a proof of concept of the ability of artificial intelligence to identify subtle differences in force production as objective markers of functional impairment, whether for predictive purposes and/or post-surgical follow-up. Project completion: June 2026 (18-month contract).Missions / functions performed :The post-doctoral researcher will mainly be involved in experimental research (data collection) and computational research (development of processing algorithms). He or she will mobilize mathematical and computational methods to optimize programming and propose appropriate tools.Main activities (in order of importance) :Gathering experimental data involving the human body on motor tasks involving the lower limbs (setting up experimental design, recruitment, test taking); Providing researchers in a given field with expertise in the use of mathematical methods and computing techniques; Guiding the choice of relevant methods and tools according to the problem posed; Designing methods for modeling, calculating and visualizing results; Reviewing the literature (deep learning for health data exploitation) and the state of the art in data processing techniques (image transformation, data fusion); Statistical analysis; Communicating knowledge through presentations and research reports (original scientific articles); Supervising student trainees (Master’s degree).Event – Objective result(s) fixing the end of the agent’s mission :Completion of the database (n = 100 participants) and operational classification of motor performance (confusion matrix, interpretability) Drafting of a research report in the form of an original scientific article for submission to a peer-reviewed journal.Assessment and monitoring of results achieved :Construction of a provisional schedule listing the progress of the various stages/missions of the project (experimental and computational aspects). Monthly meetings with the project leaders, with a presentation of recent progress at each stage.Finance: (DEEPKNEE) – Project supported by IDEX UGA – Grenoble Alpes 2024 Research Initiatives.Document to be sent :Please send your CV and a letter explaining your motivation to work on this subject and the skills you possess. The document can be written in English or in French.Put the title of the email subject: [Post-Doc]: Application – NameContacts:
- Dawood AL CHANTI, Associate Professor,
Julien FRERE, Associate Professor,Where to apply E-mail[email protected]RequirementsResearch Field Engineering Education Level PhD or equivalentSkills/QualificationsTrade skills/ expertiseKnowledge of Computer Engineering, Automatics (Machine Learning, Deep Learning) and Signal Processing (images, time and frequency series);Analysis of biophysiological signals and knowledge of human experimentation;Programming in various computing environments (Matlab / Python)Communicate according to scientific standards (oral and handwritten) in French and EnglishPersonal skillsAbility to make decisions quickly and report back to management;Organize work to handle several tasks at the same time;Respect work environment (internal regulations, charters).Previous formation, diplomas:Academic training in Computer Engineering, Automation and Signal Processing.PhD thesis.Experience in the public sector would be appreciated.Restriction or constraints related to the positionWork in a team AND independently, mainly face-to-face, according to laboratory opening hours. Possibility of teleworking according to current legislation (2 days/week maximum).Possibility of teaching on a sessional basis (64 h EQTD maximum).Travel possible within the region (Bordeaux university site) ; 1-2/yearLanguages ENGLISH Level ExcellentResearch Field EngineeringComputer science Years of Research Experience 1 – 4Additional InformationWork Location(s)Number of offers available 1 Company/Institute Gipsa-Lab Country France State/Province Auvergne-Rhône-Alpes City Saint Martin d’Hères Postal Code 38402 Street 11 rue des Mathématiques GeofieldContact State/ProvinceAuvergne-Rhône-Alpes CitySaint Martin d’Hères WebsiteStreet11 rue des Mathématiques Postal Code38402 E-Mail[email protected][email protected] PhoneSTATUS: EXPIREDShare this page
Expected salary
Location
Saint-Martin-d’Hères, Isère
Job date
Wed, 26 Jun 2024 03:04:43 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.
