Organisation/Company: UVSQ
Department: UFR des sciences
Research Field: Engineering » Biomedical engineering
Researcher Profile: First Stage Researcher (R1)
Positions: Postdoc Positions
Country: France
Application Deadline: 1 Jun 2025 - 12:00 (Europe/Paris)
Type of Contract: Permanent
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 2 Dec 2024
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? Yes
Offer Description Position Context
Our research laboratory ( www.lisv.uvsq.fr ) is dedicated to exploring new methods for detecting neurovisual disorders, particularly in patients who have suffered a stroke. As part of our "APTICONDUITE" research project funded by the Road Safety Delegation (DSR), we use a driving simulator equipped with biometric sensors to collect behavioral and physiological data.
We are looking for a motivated Data Scientist to analyze this data and contribute to the development of an innovative methodology aimed at identifying neurovisual dysfunctions.
The goal is to propose a better solution to support diagnosis based on the classification of aptitude test results carried out through the simulator.
Responsibilities
Process and analyze data collected via biometric sensors (ECG, eye tracking, EEG, etc.) during driving simulation sessions.
Implement machine learning techniques to identify patterns related to neurovisual disorders.
Collaborate with a multidisciplinary team of researchers (neurologists, engineers, psychologists).
Develop and validate predictive models to detect neurovisual anomalies in patients.
Participate in the drafting of scientific reports and the communication of results at conferences or through publications.
Required Profile
Education : PhD in Data Science, Computer Science, Applied Mathematics, or a related field.
Technical Skills : Mastery of machine learning techniques, automatic classification, and significance tests.
Proficiency in programming languages for data processing.
Experience in processing biometric, physiological, or medical data is a plus.
Knowledge of signal processing tools (EEG, ECG, eye tracking) is a plus.
Proficiency in libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
Analytical Skills : Ability to interpret complex data and propose suitable methodological solutions.
Qualities : Autonomy, scientific rigor, teamwork, and curiosity about medical applications and neuroscience.
The candidate will join a dynamic and growing research team at the LISV Laboratory of the University of Versailles Saint-Quentin ( www.lisv.uvsq.fr ), a member of the Paris-Saclay University. The work will take place in the "Interactive Robotics" team, led by Professor Abderraouf Benali, which explores the interaction between users and robotic systems in their environment.
Conditions
Duration : 10 months, with the possibility of extension depending on the project's progress.
Where to apply E-mail: ******
Requirements Research Field : Computer science » Other
Education Level : PhD or equivalent
Skills/Qualifications
Education : PhD in Data Science, Computer Science, Applied Mathematics, or a related field.
Technical Skills : Mastery of machine learning techniques, automatic classification, and significance tests.
Proficiency in programming languages for data processing.
Experience in processing biometric, physiological, or medical data is a plus.
Knowledge of signal processing tools (EEG, ECG, eye tracking) is a plus.
Proficiency in libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
Analytical Skills : Ability to interpret complex data and propose suitable methodological solutions.
Qualities : Autonomy, scientific rigor, teamwork, and curiosity about medical applications and neuroscience.
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