Ethnographer/Ergonomics/UX - Internship - Naver Labs Europe
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28 September 2020
Meylan, Grenoble, France, France
Start date
January 2021


We have a research internship position in Ethnography/Ergonomics/UX.

The candidate should be able to participate in the user research process in its entirety, including  fieldwork and data gathering, post-treatment of the data, analysis and sharing of the result. This internship will be settled in a diverse team of ethnography, design and technology experts. As a UX researcher s/he will work in autonomy, with the support of ethnographers, designers and computer scientists from the group. The main topic of the internship is to better understand the current practices of delivery in town by focusing the study on restaurants or retail shops. It is an opportunity to work with experienced professionals in the research field and collaborate with scientists and developers working on the latest technologies to create knowledge on the needs of people today’.

Note: Due to the changing travel restrictions related to COVID-19, it may not be possible to host candidates from certain regions. This will depend on the conditions at the specific starting date of the internship.

Preferred skills

● Have very good skills for observational studies (ethnography, ergonomics, psychology, sociology)
● Be able to extract insights from an in-depth analysis of the data
● Have a strong interest in research
● Have communication skills in both French and English

Application instructions

You can apply for this position online. Don't forget to upload your CV and cover letter before you submit. Incomplete applications will not be accepted.


NAVER LABS Europe has full-time positions, PhD and PostDoc opportunities throughout the year which are advertised here and on international conference sites that we sponsor such as CVPR, ICCV, ICML, NeurIPS, EMNLP etc. NAVER LABS Europe is an equal opportunity employer.

NAVER LABS are in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.

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