Postdoctoral Researcher in Data Science and Modeling

Postdoctoral Researcher in Data Science and Modeling

Institut Pasteur

Paris, France

A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH) directed by Professor Paul Avan at the Institut de l’Audition, Institut Pasteur, in Paris, France.

We are seeking an outstanding, highly motivated researcher for a project aimed at improving our understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models of the auditory nerve [2] and brainstem to simulate neurograms and guide the development of diagnostic tools based on Auditory Brainstem Responses (ABRs). Despite normal audiograms, individuals with ANSD often experience severe speech-in-noise difficulties, likely due to disrupted neural synchrony and impaired transmission along the auditory pathway [3], [4]. This research will integrate modeling and empirical ABR data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population.

Mission

The postdoctoral researcher will collaborate with other postdoctoral fellows under the supervision of Prof. Paul Avan, working with diverse datasets collected to improve the diagnosis and follow-up of hearing-impaired patients. Responsibilities will include:

• Developing expertise in audiological test batteries;
• Data wrangling, cleaning, and feature engineering;
• Applying and implementing statistical or machine learning methods, depending on project objectives;
• Participating in the formulation and development of analytical approaches;
• Validating and testing methods for clinical applicability;
• Documenting results and refining methods for integration into diagnostic tools;
• Preparing manuscripts for submission to both medical and machine learning journals.

Qualifications

Required:

• PhD in mathematics, statistics, data science, computational neuroscience, or a related field;
• Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++;
• Demonstrated experience in statistical analysis and/or machine learning methods (e.g., random forests, support vector machines, clustering, logistic regression);
• Proven track record of scientific publication in relevant fields;
• Proficiency in scientific English, particularly in writing.

Preferred:

• Experience with MATLAB (especially for auditory modeling or signal processing);
• Familiarity with audiological data and test batteries;
• Working knowledge of French is a plus.

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