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ISCApad Archive » 2020 » ISCApad #268 » Jobs » (2020-10-08) Job offer: 1-year postdoc position at LSP (ENS Paris), France |
ISCApad #268 |
Saturday, October 10, 2020 by Chris Wellekens |
Job offer: 1-year postdoc position at LSP (with a possibility of 1-year extension) The Laboratoire des Systèmes Perceptifs (LSP, ENS Paris / CNRS, https://lsp.dec.ens.fr/en) is offering a postdoc position for the ANR project fastACI ('Exploring phoneme representations and their adaptability using fast Auditory Classification Images') supervised by Léo Varnet (leo.varnet@ens.psl.eu). The fastACI project aims to develop a fast and robust experimental method to visualize and characterize the auditory mechanisms involved in phoneme recognition. The fast-ACI method relies on a stimulus-response model, combined with a reverse correlation (revcorr) experimental paradigm. This approach, producing an 'instant picture' of a participant’s listening strategy in a given context, has already yielded conclusive results, but remains very time-consuming. Therefore, the main objectives of this postdoc contract will be (1) to improve the efficiency of the process using advanced supervised learning techniques (e.g. sparse priors on a smooth basis) and an online adaptive protocol (e.g. Bayesian optimisation); then (2) to use this technique to map the phonemic representations used by normal-hearing listeners. For this purpose, a large number of experiments on phoneme-in-noise categorization tasks (e.g. /aba/ vs. /ada/) will be carried out, in order to insure the broadest possible mapping of the French phonological inventory. As a second step, the new tool will be used to explore the adaptability of speech comprehension in the case of sensorineural hearing loss and noisy backgrounds. The post-doc will be involved in all activities in line with the project, including data collection, coding and statistical analyses. The post-doc will also coordinate trainees’ and students’ work involved in the project, and contribute significantly to publication of the findings. Required profile: Background in psychoacoustics and/or machine learning (the candidate should preferably hold a PhD in one of these fields) High skills in statistical data processing (in particular supervised learning algorithms) and practical knowledge in psychophysics Basic understanding of psychoacoustics and psycholinguistics
Good knowledge of Matlab programming (other languages such as R can also be useful) Strong communication skills in English (working language in the lab) and French (interactions with participants, etc.). Duration: 12 months or 24 months Start: Early 2021 Net salary: ~ 2100€/ month Application Procedure: Applications must include a detailed CV and a motivation letter, a link to (or copy of) the PhD thesis, PhD Viva report, plus the email contact of 2 referees. Applications are to be sent to: Léo Varnet (leo.varnet@ens.psl.eu) before 08/11 (interviews should take place on the 18/11 by videoconference) |
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