28.3509, Jobs: Cognitive Science; Computational Linguistics: Research Engineer, Cambridge Cognition
The LINGUIST List
linguist at listserv.linguistlist.org
Wed Aug 23 16:10:03 UTC 2017
LINGUIST List: Vol-28-3509. Wed Aug 23 2017. ISSN: 1069 - 4875.
Subject: 28.3509, Jobs: Cognitive Science; Computational Linguistics: Research Engineer, Cambridge Cognition
Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Helen Aristar-Dry, Robert Coté,
Michael Czerniakowski)
Homepage: http://linguistlist.org
Please support the LL editors and operation with a donation at:
http://funddrive.linguistlist.org/donate/
Editor for this issue: Clare Harshey <clare at linguistlist.org>
================================================================
Date: Wed, 23 Aug 2017 12:10:00
From: Nick Taptiklis [nick.taptiklis at camcog.com]
Subject: Cognitive Science; Computational Linguistics: Research Engineer, Cambridge Cognition, UK
University or Organization: Cambridge Cognition
Department: R&D
Job Location: Cambridge, United Kingdom
Web Address: http://www.cambridgecognition.com/
Job Title: Research Engineer
Job Rank: Programmer
Specialty Areas: Cognitive Science; Computational Linguistics; Voice analysis
Description:
Cambridge Cognition is an innovative neuroscience technology company dedicated
to measuring and improving brain health. We develop a wide range of digital
health solutions to the scientific and practical challenges of improving
neural function, from identifying new digital biomarkers of neuropsychiatric
disorders through to FDA-approved medical devices to assess dementia.
We are currently recruiting in Cambridge UK for a talented speech and voice
research engineer to join a research team exploring the potential to use
language and voice-based assessments to capture cognitive processes and other
mental states in conditions such as Alzheimer’s, depression, and chronic pain.
The ideal candidate will have a broad understanding of voice analysis tools
and approaches, as well as practical experience addressing voice analysis
challenges such as speaker identification, emotion recognition or fraud
detection, along with strong experience with machine learning / deep learning
toolkits such as TensorFlow or Theano and voice analysis toolkits such as
SRILM or Open SMILE.
The role will involve the design and development of interactive voice
applications and the application of state of the art machine learning
techniques to voice audio data, therefore experience with dialog systems and
speech recognition is highly desirable.
The candidate should have a Masters or PhD in a relevant discipline.
Application Deadline: (Open until filled)
Email Address for Applications: recruitment at camcog.com
Contact Information:
Nick Taptiklis
Email: nick.taptiklis at camcog.com
Phone: +441223810700
------------------------------------------------------------------------------
***************** LINGUIST List Support *****************
Please support the LL editors and operation with a donation at:
http://funddrive.linguistlist.org/donate/
----------------------------------------------------------
LINGUIST List: Vol-28-3509
----------------------------------------------------------
More information about the LINGUIST
mailing list