30.2182, Jobs: Computational Linguistics: IT Developer, Oxford University Press

Fri May 24 17:53:08 UTC 2019

LINGUIST List: Vol-30-2182. Fri May 24 2019. ISSN: 1069 - 4875.

Subject: 30.2182, Jobs: Computational Linguistics: IT Developer, Oxford University Press

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Date: Fri, 24 May 2019 13:52:53
From: Roger Foster [roger at iad.co.uk]
Subject: Computational Linguistics: IT Developer, Oxford University Press

University or Organization: Oxford University Press 
Department: GA PDT
Job Location: Oxford, United Kingdom (Telecommute)
Web Address: https://global.oup.com/?cc=gb
Job Title: Language Technologist - NLP Developer
Job Rank: IT Developer; Other

Specialty Areas: Computational Linguistics 

Description:

We’re Oxford University Press (OUP) a global business that’s part of the
University of Oxford. We further the University’s aims of excellence in
research, scholarship, and education.

Our Dictionaries business is a global leader/ innovator focused on unlocking
the power of language for lexical publishing and data licensing. We partner
with the world’s largest technology and information providers to share our
language expertise.

About the Role:
Our hugely successful teams are growing and we’re searching for 2 developers
to join us and share our success. We require people with experience of NLP
(natural language processing), computational linguistics, and language
technology, to work on a range of projects including the development of new
multilingual linguistic corpora and related resources. Other projects
undertaken by the team use linked data, semantic technologies, and machine
learning for automating language data creation.

You’ll have proven experience in software development for the creation of NLP
tools or language resources (e.g., corpora, lexicons). We expect you to enjoy
problem solving and sharing what you’ve learnt, as well as learning from your
peers. You should appreciate working with a variety of technological resources
and from different methodologies, and have enough experience to pick the
appropriate tool for the job at hand.

We are a diverse group of people and thrive by working collaboratively in
cross-functional Agile teams. OUP offers the unique opportunity to build
professional experience in a team that enjoys the advantages of working in a
start-up culture but in an organization with a long-standing reputation and a
mission for good. Moreover, you’ll be able to benefit from seeing the real
time impact of your successful delivery.

OUP is an equal opportunities employer and fully supports flexible and remote
working arrangements. We welcome applicants from diverse non-academic
backgrounds.

About You:

To be successful in this role you’ll have:
- A degree in Computer Science, Artificial Intelligence, Linguistics or
similar; or several years of experience in the field
- Proven experience in one or more areas within NLP (POS tagging,
lemmatization, parsing, semantic analysis)
- Familiarity with corpus building projects
- Experience with quantitative, machine learning-based and/ or graph-based
approaches to linguistic data
- Good programming skills in Python (some Java experience would also be
beneficial)
- Effectiveness in the transfer of technical expertise to technical and
non-technical stakeholders

Benefits:
We offer a fair salary, 25 day’s holiday (plus bank holidays), pension
contributions to 11% and a 35-hour working week, along with the flexibility to
start and finish late or early as required. Your wellbeing’s really important
so we also have a wide range of facilities including; a canteen that serves a
wide variety of healthy and delicious meals, a subsidized onsite gym,
subsidized coffee shops. We believe this helps make OUP a great place to work,
and offers you a truly fantastic work/life balance.

We believe that the skills you bring to OUP are just a starting point. We want
you to have the opportunity to expand your abilities, and to innovate and
develop in areas, which both interest you, and support your aspirations.

To discuss this position in more detail contact Craig Cheetham at the contact
information provided below.

Application Deadline: 24-Jun-2019 

Web Address for Applications: https://jobs.oup.com/uk/jobs/vacancy/language-technologist---nlp-developer-1046-oxford/1064/description/ 
Contact Information:
	Craig Cheetham 
	Email: craig.cheetham.contractor at oup.com 

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