LINGUIST List 32.3518

Fri Nov 05 2021

Jobs: Computational Linguistics: Data Science Consultant Specialized in Machine Learning (80-100%), University of Zurich

Editor for this issue: Lauren Perkins <>

Date: 05-Nov-2021
From: Manuel Widmer <>
Subject: Computational Linguistics: Data Science Consultant Specialized in Machine Learning (80-100%), University of Zurich, Zurich, Switzerland
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University or Organization: University of Zurich
Department: NCCR Evolving Language
Job Location: Zurich, Switzerland
Web Address:
Job Title: Data Science Consultant Specialized in Machine Learning (80-100%)

Job Rank: Consultant

Specialty Areas: Computational Linguistics; Data Science, Machine Learning


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, we seek to fill a position as data science consultant specialized in machine learning at the University of Zurich. The position is initially limited to one year but will be converted into a permanent position after a positive performance assessment.

Your responsibilities:
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 Research Natural Language Processing Group in Zurich).

Your profile:
The ideal candidate has a PhD degree in a relevant discipline such as speech recognition, sound separation, computational neuroscience, neuroinformatics, or natural language processing. S/he is knowledgeable in problem settings in the domains relevant to the NCCR and well versed with machine learning techniques including deep learning and reinforcement learning. S/he is experienced in developing efficient solutions in both small and big data settings. 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. The NCCR places great emphasis on gender balance; we particularly encourage women to apply.

Place of work: Zurich

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 15 and applications are accepted until the position is filled. Please submit your application as a single PDF labelled 'MachineLearning-YourSurname.pdf' via the job portal of the University of Zurich (see the application link below).

Application Deadline: (Open until filled)

Web Address for Applications:
Contact Information:
Prof. Richard Hahnloser

Page Updated: 05-Nov-2021