Data Science Consultant Specialized in Machine Learning

Updated: about 22 hours ago
NCCR Evolving Language
Data Science Consultant Specialized in Machine Learning
80-100 %

Within the 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 University of Zurich Technology Platform LiRI (Linguistic Research Infrastructure), we seek to hire an expert in machine learning.
The successful candidate will join our small Team of Data Scientists and contribute to our mission of delivering state-of-the-art machine learning solutions and workflows. The position is initially limited for a period of one year with the possibility of extension and a permanent contract. 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).
Your responsibilities
If you are interested in language evolution, you want to develop the next generation machine learning solutions for research on brain and behavior, and you enjoy collaborating with language scientists, ethologists, and neuroscientists, then you are the person we are looking for. You will be expected to work proactively in a team of data scientists and software engineers, to provide consulting services, to help organize workshops, and to spend time in the various labs of the NCCR network. We collaborate with data science platforms at the ETH Zurich and EPF Lausanne as well as with partners in industry (e.g. the Google Research Natural Language Processing Group in Zurich).
Your profile
You have a PhD degree in a relevant discipline such as natural language processing, speech recognition, sound separation, computational neuroscience, neuroinformatics, action recognition, etc. You are knowledgeable in problem settings in the domains relevant to the NCCR and are well versed with machine learning techniques including deep learning and reinforcement learning. You are experienced in developing efficient solutions in both small and big data settings. You have excellent communication and collaboration skills. We place great emphasis on teamwork and on multidisciplinary perspectives.
What we offer
We offer varied and interesting work in an inspiring and respectful environment. We promote a work environment of diversity and inclusion. We place emphasis on gender balance; 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 May 20 and applications are accepted until the position is filled. Please submit your application as a single PDF labelled 'MachineLearning-YourSurname.pdf'. Questions can be addressed to Prof. Richard Hahnloser .
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