Internship position in domain of automatic speech recognition F/H

About Idiap

Idiap is an independent, not-for-profit, research institute recognized and funded by the Swiss Federal Government, the State of Valais, and the City of Martigny, and is academically affiliated with EPFL and University of Geneva.

Idiap offers competitive salaries and conditions at all levels in a young, high-quality, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. The Institute seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourage both genders to apply. Employment at Idiap is thus based solely on a person's merit and qualifications directly related to professional competence. Idiap does not discriminate against any employee or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, marital status, pregnancy, or any other basis protected by law.

Idiap is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language. Free French lessons are also provided on a complimentary basis.

For frequently asked questions (FAQs) about living in Switzerland, please go to https://www.idiap.ch/en/faq

Job description

The project:

The position will be aligned with an European project on automatic speech recognition of air-traffic communication through SESAR Joint Undertaking exploratory research.

More specifically, the planned work will comprise:

• working in collaboration with other researchers from speech and audio processing group on development and evaluation of automatic speech recognition engines for air-traffic communication applications.

• working with other project partners (from other EU countries) on this task.

The foreseen programming platforms used in the project are Kaldi, or Pytorch

The candidate:

The ideal candidate should follow a M.Sc. program or hold a M.Sc. degree in computer science, electrical engineering or related fields. She or he should have a background at least in one of the following fields: statistics, applied mathematics, linear algebra, signal processing.

The applicant should also have strong programming skills and be familiar with Python, C/C++ (MATLAB is not a plus), some of the scripting languages and with the Linux environment.

Knowledge in speech processing and machine learning is an asset. Shortlisted candidate may undergo a test including technical reading and writing in English and programming (in Python and/or C/C++).

The position:

Ideal length of the position is for 6 months (can be discussed). Starting date is early summer 2020.

In case of good performance, the internship application can be turned into PhD position at Idiap.

How to apply:Prospective candidates should apply through the Idiap Online Recruitment System (ORS) only. Inquiries about the position can be addressed to Dr. Petr Motlicek (petr dot motlicek ad idiap dot ch).

Review of applications will begin immediately and proceed until the position has been filled.

Sought profile

The ideal candidate should follow a M.Sc. program or hold a M.Sc. degree in computer science, electrical engineering or related fields. She or he should have a background at least in one of the following fields: statistics, applied mathematics, linear algebra, signal processing.

The applicant should also have strong programming skills and be familiar with Python, C/C++ (MATLAB is not a plus), some of the scripting languages and with the Linux environment.

Knowledge in speech processing and machine learning is an asset. Shortlisted candidate may undergo a test including technical reading and writing in English and programming (in Python and/or C/C++).

In order to avoid discrimination, please do not mention your gender, age and marital status on your CV.

Langues souhaitées

• Anglais - Niveau avancé
• Français - Niveau débutant

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