In the framework of the DeepRestore project, acquired EMG signals will be converted into speech. Combination with lip-reading modality will also be tested. The main tasks for the candidate will be:
a) taking part in the design and performing of EMG and video recordings
b) to process and prepare the acquired signals
c) to investigate and evaluate different deep learning strategies to decode the signals into speech
d) to document the process and contribute to scientific publications.
The candidate should preferably have a BSc degree in telecommunications engineering, artificial intelligence, computer science or equivalent preferably with a MSc. Degree. Outstanding curriculum vitae, good programming abilities, education in machine learning and experience in programming is necessary. Strong motivation, team working skills, and fluent spoken and written English will be highly appreciated.
The candidate should send an e-mail in English to inma.hernaez@ehu.eus with a CV and a brief description of the applicant particular merits to get the position. All applications will be considered regardless of gender, age, cultural background, nationality or impairments. Open until filled.