Corps enseignant

Current openings

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Postdoctoral position in machine learning for natural language processing and animal communication 

Supervised by: Paola MERLO (Geneva) and Richard HAHNLOSER (ETH)

Description: 

In the framework of the  ‘NCCR Evolving Language’ (https://evolvinglanguage.ch/), a center of excellence on language evolution involving 40 different research groups from a large variety of disciplines across Switzerland, we seek qualified candidates for a postdoctoral position at the intersection of machine learning and natural language processing with possible extension to animal communication. This researcher will investigate generalization abilities of deep learning models applied to lexical and grammatical phenomena, in collaboration with scientists in computational linguistics and neuroscience. 

 Required qualifications:

The ideal Postdoc candidate should hold a PhD degree in computer science, computational linguistics or related fields. They have a background in natural language processing and machine learning. The applicant should also have strong programming skills. The successful candidate will work under the supervision of Prof. Paola Merlo at the University of Geneva and Prof. Richard Hanhnloser at ETH and be affiliated with one of the two institutions according to their profile. 

Appointment for this position is for an initial period of 1 year, with the possibility of renewal based on performance. Funding is currently available for 2 years. 

Starting date is to be negotiated but not later than 1 June 2022. All queries related to the advertised position can be sent to Prof. Paola Merlo (paola.merlo(at)unige.ch). 

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,
  • the names of three references.

Please submit your application as a single PDF labelled 'PostDocML-YourSurname.pdf to Eva.Capitao(at)unige.ch.

Review of applications starts January 24, 2022  and applications are accepted until the position is filled.

With the aim of increasing diversity, we particularly encourage women and minorities to apply.