31.3049, Jobs: Computational Linguistics; Text/Corpus Linguistics: Programmer, University of Zurich

[The LINGUIST List]

LINGUIST List: Vol-31-3049. Thu Oct 08 2020. ISSN: 1069 - 4875.

Subject: 31.3049, Jobs: Computational Linguistics; Text/Corpus Linguistics: Programmer, University of Zurich

Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Jeremy Coburn
Managing Editor: Becca Morris
Team: Helen Aristar-Dry, Everett Green, Sarah Robinson, Lauren Perkins, Nils Hjortnaes, Yiwen Zhang, Joshua Sims
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           https://funddrive.linguistlist.org/donate/

Editor for this issue: Becca Morris <becca at linguistlist.org>
================================================================


Date: Thu, 08 Oct 2020 12:10:33
From: Manuel Widmer [admin at evolvinglanguage.ch]
Subject: Computational Linguistics; Text/Corpus Linguistics: Programmer, University of Zurich, Switzerland

 
University or Organization: University of Zurich 
Department: NCCR Evolving Language
Job Location: Zurich, Switzerland 
Web Address: https://www.evolvinglanguage.ch/
Job Title: 2 Positions Specialized in Machine Learning
Job Rank: Programmer

Specialty Areas: Computational Linguistics; Text/Corpus Linguistics; Speech Recognition; Neuroinformatics; Natural Language Processing


Description:

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 two permanent
positions as data science consultants specialized in machine learning at the
University of Zurich.

The successful candidates 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).

The ideal candidates have a PhD degree in a relevant discipline such as speech
recognition, sound separation, computational neuroscience, neuroinformatics,
or natural language processing. They 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. They are
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.

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.

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
labelled 'MachineLearning-YourSurname.pdf via the application email provided
below. 

Questions can be addressed to Prof. Richard Hahnloser at the contact
information below.



Application Deadline:  (Open until filled)
	  
Email Address for Applications: jobs at evolvinglanguage.ch 
Web Address for Applications: https://jobs.uzh.ch/offene-stellen/2-positions-specialized-in-machine-learning/d1bf2ecb-44b1-4cc9-931d-866c692576fb 
Contact Information:
	Prof. Richard Hahnloser 
	Email: rich at ini.uzh.ch 


------------------------------------------------------------------------------

***************************    LINGUIST List Support    ***************************
 The 2020 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
  to find out how to donate and check how your university, country or discipline
     ranks in the fund drive challenges. Or go directly to the donation site:
                   https://crowdfunding.iu.edu/the-linguist-list

                        Let's make this a short fund drive!
                Please feel free to share the link to our campaign:
                    https://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-31-3049	
----------------------------------------------------------