With the launch of a new National Center of Competence in Research (NCCR) Evolving Language, which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, and the establishment of the University of Zurich Technology Platform LiRI (Linguistic Research Infrastructure), we seek to hire 3 data science consultants specialized in statistical modeling at the University of Zurich. One of the positions is placed in a data science task force at the NCCR's headquarters in Zurich in co-affiliation with LiRI. The other two positions are placed in the LiRI tech team in Zurich and will cooperate closely with the NCCR task force. All three will work intensively with researchers across the entire network of the NCCR and language scientists in Switzerland more broadly. Conditions permitting, this may involve also spending limited periods of time in labs outside Zurich. The positions are initially limited for a period of two years with the possibility of extension and a permanent contract.
The data science consultants will support the different research groups of the NCCR with all types of statistical tasks, ranging from design of experiments and observational studies to development of new statistical methodologies. The successful candidates are expected to actively interact with other data science platforms in Switzerland, e.g. at the ETH Zurich and the Swiss Data Science Centre, as well as with partners in industry (e.g. the Google Research Natural Language Processing Group in Zurich).
Ideal candidates have an MSc or PhD degree in statistics or data science and profound domain knowledge in language science, or a degree in language science and strong expertise in data science/statistics, are able to quickly immerse in different interdisciplinary research topics, and are able to efficiently communicate with scientists working on language from a large variety of perspectives and/or on animal communication. The NCCR and LiRI place 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
Start of employment
Applications should include
a cover letter stating your motivation and vision for the field,
a CV with publication list,
a copy of the highest degree,
and the names of three references.
Review of applications starts November 1 and applications are accepted until the position is filled. Please submit your application as a single PDF file labelled "DataScienceStats-YourSurname.pdf" via this job portal. Questions can be addressed to the coordinating Professor Reinhard Furrer (for the NCCR) or Professor Volker Dellwo (for LiRI).