Two positions in NLP at the University of Cambridge: post-doctoral RA and PhD studentship

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Applications are invited for two positions in NLP at the University of
Cambridge:

1. Post-doctoral Research Associate

Deadline for applications: 6 June, 2016
Start date: 1 September, 2016
Duration: 3 years
Details of how to apply: http://www.jobs.cam.ac.uk/job/10073/

2. PhD studentship

Deadline for applications: 16 May, 2016
Start date: 1 October, 2016
Duration: 3 years
Details of how to apply: http://www.jobs.cam.ac.uk/job/10045/

The two positions will be part of the new LEXICAL (Lexical Acquisition
across Languages) project, funded by the European Research Council (ERC) in
the form of a Consolidator Grant awarded to Anna Korhonen. The aim of the
project  is to develop a novel computational framework for learning and
transferring lexical information across languages without the need for
parallel resources. The project will cover a variety of typologically
diverse languages and language domains and will demonstrate the usefulness
for NLP applications such as machine translation.

1. The Research Associate position is for 3 years starting from 1 September
2016. The successful applicant will have completed a Ph.D. degree in
computational linguistics, artificial intelligence, machine learning,
computer science, or a related discipline and will be able to demonstrate
an excellent track record of independent research and strong publications.
Essential skills include: excellent programming skills, statistical natural
language processing techniques, machine learning, as well as proven
collaborative, communication and networking skills. Previous experience
with deep learning and/or joint learning and inference may be considered an
advantage.

Details of how to apply can be found at:
http://www.jobs.cam.ac.uk/job/10073/

2. The PhD studentship is for 3 years starting from 1 October, 2016. The
successful applicant will have a good Master's degree (equivalent of
first-class distinction) in computational linguistics, artificial
intelligence, computer science, or a related discipline, completed by 30
September 2016. He/she will have strong programming skills and previous
experience in NLP and/or machine learning. Previous experience with deep
learning and/or joint learning and inference may be considered an
advantage. The grant covers university fees and maintenance for the period
of three years. Both UK/EU and overseas candidates are encouraged to apply.

Details of how to apply can be found at:
http://www.jobs.cam.ac.uk/job/10045/

The RA  and the PhD student will work with Anna Korhonen as part of the ERC
project team. They will be members of the vibrant and highly
research-active Language Technology Lab  (http://ltl.mml.cam.ac.uk) at the
Department of Theoretical and Applied Linguistics and the large community
of NLP researchers in the University of Cambridge.

Informal enquiries may be addressed to Anna Korhonen (alk23 at cam.ac.uk).

--
Anna Korhonen
Reader in Computational Linguistics
Language Technology Lab
DTAL, University of Cambridge
http://www.cl.cam.ac.uk/~alk23/

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<div dir=3D"ltr"><div>Applications are invited for two positions in NLP at =
the University of Cambridge:</div><div><br></div><div>1. Post-doctoral Rese=
arch Associate</div><div><br></div><div>Deadline for applications: 6 June, =
2016</div><div>Start date: 1 September, 2016</div><div>Duration: 3 years</d=
iv><div>Details of how to apply: <a href=3D"http://www.jobs.cam.ac.uk/job/1=
0073/">http://www.jobs.cam.ac.uk/job/10073/</a></div><div><br></div><div>2.=
 PhD studentship =C2=A0</div><div><br></div><div>Deadline for applications:=
 16 May, 2016</div><div>Start date: 1 October, 2016</div><div>Duration: 3 y=
ears</div><div>Details of how to apply: <a href=3D"http://www.jobs.cam.ac.u=
k/job/10045/">http://www.jobs.cam.ac.uk/job/10045/</a></div><div><br></div>=
<div>The two positions will be part of the new LEXICAL (Lexical Acquisition=
 across Languages) project, funded by the European Research Council (ERC) i=
n the form of a Consolidator Grant awarded to Anna Korhonen. The aim of the=
 project =C2=A0is to develop a novel computational framework for learning a=
nd transferring lexical information across languages without the need for p=
arallel resources. The project will cover a variety of typologically divers=
e languages and language domains and will demonstrate the usefulness for NL=
P applications such as machine translation.</div><div><br></div><div>1. The=
 Research Associate position is for 3 years starting from 1 September 2016.=
 The successful applicant will have completed a Ph.D. degree in computation=
al linguistics, artificial intelligence, machine learning, computer science=
, or a related discipline and will be able to demonstrate an excellent trac=
k record of independent research and strong publications. Essential skills =
include: excellent programming skills, statistical natural language process=
ing techniques, machine learning, as well as proven collaborative, communic=
ation and networking skills. Previous experience with deep learning and/or =
joint learning and inference may be considered an advantage.</div><div><br>=
</div><div>Details of how to apply can be found at:</div><div><a href=3D"ht=
tp://www.jobs.cam.ac.uk/job/10073/">http://www.jobs.cam.ac.uk/job/10073/</a=
></div><div><br></div><div>2. The PhD studentship is for 3 years starting f=
rom 1 October, 2016. The successful applicant will have a good Master&#39;s=
 degree (equivalent of first-class distinction) in computational linguistic=
s, artificial intelligence, computer science, or a related discipline, comp=
leted by 30 September 2016. He/she will have strong programming skills and =
previous experience in NLP and/or machine learning. Previous experience wit=
h deep learning and/or joint learning and inference may be considered an ad=
vantage. The grant covers university fees and maintenance for the period of=
 three years. Both UK/EU and overseas candidates are encouraged to apply.=
=C2=A0</div><div><br></div><div>Details of how to apply can be found at:=C2=
=A0</div><div><a href=3D"http://www.jobs.cam.ac.uk/job/10045/">http://www.j=
obs.cam.ac.uk/job/10045/</a></div><div><br></div><div>The RA =C2=A0and the =
PhD student will work with Anna Korhonen as part of the ERC project team. T=
hey will be members of the vibrant and highly research-active Language Tech=
nology Lab =C2=A0(<a href=3D"http://ltl.mml.cam.ac.uk">http://ltl.mml.cam.a=
c.uk</a>) at the Department of Theoretical and Applied Linguistics and the =
large community of NLP researchers in the University of Cambridge.=C2=A0</d=
iv><div><br></div><div>Informal enquiries may be addressed to Anna Korhonen=
 (alk23 at <a href=3D"http://cam.ac.uk">cam.ac.uk</a>).</div><div><br></div=
><div>--</div><div>Anna Korhonen</div><div>Reader in Computational Linguist=
ics</div><div>Language Technology Lab</div><div>DTAL, University of Cambrid=
ge</div><div><a href=3D"http://www.cl.cam.ac.uk/~alk23/">http://www.cl.cam.=
ac.uk/~alk23/</a></div></div>

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