NCCR Evolving Language

1 Data Engineer
80-100 %

With the launch of a new National Competence Center in Research (NCCR) "Evolving Language", which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to hire a data engineer.

Your responsibilities

Responsibilities include developing, expanding, and maintaining a suite of databases (including corpora) and ancillary tools and processing pipelines for handling complex data on animal and human communication, partly building on existing resources.
The successful candidate will join a data science task force at the NCCR's headquarters in Zurich in co-affiliation with the University of Zurich's Technology Platform LiRI (Linguistic Research Infrastructure). The task force will work intensively with researchers across the entire network of the NCCR and so the members of the task force are expected to also spend time in the various labs of the network (conditions permitting). The task force will actively collaborate with data science platforms at the ETH Zurich and EPF Lausanne (e.g. the Swiss Data Science Centre) as well as with partners in industry (e.g. the Google AI Natural Language Processing Group in Zurich).

Your profile

The ideal candidate will have a MSc or PhD in data science, computer science, computational science, etc with hands-on experience in information retrieval and/or databases. The NCCR places great emphasis on teamwork and on multidisciplinary perspectives. Excellent communication and collaboration skills are essential.

What we offer

We offer varied and interesting work in an inspiring and socially relevant environment.
Diversity and inclusion are important to us. We strongly aim at gender diversity, and we particularly encourage women to apply.

Place of work

Zurich

Start of employment

Applications should include
The reviewing of applications has already started, and applications are accepted until the position is filled. Please submit your application as a single PDF file labeled "YourName-DataEngineer.pdf" via the UZH job portal. Questions can be addressed to Professor Richard Hahnloser.

Further information