Job opening: Postdoc positions in automatic speech recognition

The Idiap Research Institute seeks qualified candidates for several postdoctoral positions in the field of Deep Learning applied for acoustic, and/or language modeling in Automatic Speech Recognition (ASR).

The position will be aligned with one of currently ongoing (EU H2020, Swiss NSF, or US (IARPA)) projects researched by speech group.
The research will focus on new ASR approaches using novel deep neural networks (through Kaldi, Pytorch, or other open source machine learning platforms) towards a principled, generalized, hierarchical model ranging from feature extraction to lexical, syntactic and language modeling (possibly also exploiting word embedding approaches).

The Postdoc candidate will work under supervision of one of senior researchers at Idiap, together with other colleagues from the speech group.
The Postdoc candidate should hold a PhD in relevant fields, while demonstrating excellence and motivation in research in general, and in the targeted research areas. A background in one of the following relevant fields - statistics, applied mathematics, optimization, linear algebra, signal processing - is expected. Postdoc applicants should ideally have good expertise in hidden Markov models, deep neural networks, and/or statistical language modeling/natural language understanding.
The applicants should also have strong programming skills and be familiar with Python, C/C++, and with the Linux environment.

The postdoc contract will be for one year, with a start salary of 80,000 CHF/year, with a reasonable chance to be renewed based on performance.

Interested candidates are invited to submit a cover letter, a detailed CV, and the names of three references through the Idiap online recruitment system:

Postdoc positions in automatic speech recognition