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Open Position

Open position's detailed data


Type: PhD Student
Name (ID): Speech recognition and natural language processing for digital interviews (OP-20201013-145814)
Supervised by: Philip GARNER


In the context of a new Swiss NSF grant, we seek a PhD student to work on speech recognition and natural language processing for digital interviews. The project is a collaboration between the universities of Neuchâtel and Lausanne, and Idiap Research Institute.

At a high level, we are interested in how candidates for jobs respond in structured selection interviews; in particular how they are able to tell stories about past work situations. More concretely, we will investigate speech recognition architectures suitable for such interviews, and natural language processing solutions that are able to infer the higher level semantics required by our collaborators in the social sciences.

A-priori, given that it is the higher level semantics that are of interest, we expect to make use of recent lexicon-free approaches to speech recognition. We also expect to draw from the rapidly advancing language modelling field with tools such as BERT and its successors. There will be ample opportunity for research in the component technologies, which are all currently pertinent in the general machine learning landscape. In particular, we expect to make advances in the technological interfaces between component technologies, and in the humanist interfaces between the machine learning practitioners and social scientists.

The ideal Ph.D student should have a master (or equivalent) degree in engineering, computer science, physics or applied mathematics. S/he should have a good background in programming (C/C++, Python, scripting languages); practical engineering skills will be particularly appreciated since the work of our collaborators will be dependent on the output of our part of the project. In order to balance the group, we especially encourage female applicants. However, all applications will be judged on merit.

The student will be registered at EPFL and located at Idiap. However, we expect some time to be spent at our collaborators' locations, especially during data collection and annotation.
The position is available from early 2021, fully funded for four years. Selection will commence in November 2020.

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.

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.

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

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