Post-doctoral RA in NLP at the University of Cambridge
Anna Korhonen <[email protected]> Wed, 1 Jun 2016 12:25:55 +0100
| Newsgroups | gmane.science.linguistics.corpora,gmane.comp.ai.machine-learning |
|---|---|
| Message-ID | <CAJcPS7T-MC8huCK_X-K6A5U9CuoNMdThFkUnptf9e6FPLUtTqg@mail.gmail.com> |
--===============8298089342236904555== Content-Type: multipart/alternative; boundary=001a113d0fc8cdeee9053435c03a --001a113d0fc8cdeee9053435c03a Content-Type: text/plain; charset=UTF-8 Applications are invited for the following position in NLP at the University of Cambridge: 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/ The position will be part of the 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. The 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. The RA will work with Anna Korhonen as part of the ERC project team. S(he) and will be a member 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. Details of how to apply can be found at: http://www.jobs.cam.ac.uk/job/10073/ 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/ --001a113d0fc8cdeee9053435c03a Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Applications are invited for the following position i= n NLP at the University of Cambridge:</div><div><br></div><div>Post-doctora= l Research Associate</div><div><br></div><div>Deadline for applications: 6 = June, 2016</div><div>Start date: 1 September, 2016</div><div>Duration: 3 ye= ars</div><div>Details of how to apply: <a href=3D"http://www.jobs.cam.ac.uk= /job/10073/">http://www.jobs.cam.ac.uk/job/10073/</a></div><div><br></div><= div>The position will be part of the LEXICAL (Lexical Acquisition across La= nguages) project, funded by the European Research Council (ERC) in 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 and transf= erring lexical information across languages without the need for parallel r= esources. The project will cover a variety of typologically diverse languag= es and language domains and will demonstrate the usefulness for NLP applica= tions such as machine translation.</div><div><br></div><div>The position is= for 3 years starting from 1 September 2016. The successful applicant will = have completed a Ph.D. degree in computational linguistics, artificial inte= lligence, machine learning, computer science, or a related discipline and w= ill be able to demonstrate an excellent track record of independent researc= h and strong publications. Essential skills include: excellent programming = skills, statistical natural language processing techniques, machine learnin= g, as well as proven collaborative, communication and networking skills. Pr= evious experience with deep learning and/or joint learning and inference ma= y be considered an advantage.</div><div><br></div><div>The RA =C2=A0will wo= rk with Anna Korhonen as part of the ERC project team. S(he) and will be a = member of the vibrant and highly research-active Language Technology Lab = =C2=A0(<a href=3D"http://ltl.mml.cam.ac.uk">http://ltl.mml.cam.ac.uk</a>) a= t the Department of Theoretical and Applied Linguistics and the large commu= nity of NLP researchers in the University of Cambridge.=C2=A0</div><div><br= ></div><div><div>Details of how to apply can be found at:</div><div><a href= =3D"http://www.jobs.cam.ac.uk/job/10073/">http://www.jobs.cam.ac.uk/job/100= 73/</a></div></div><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>).</di= v><div><br></div><div>--</div><div>Anna Korhonen</div><div>Reader in Comput= ational Linguistics</div><div>Language Technology Lab</div><div>DTAL, Unive= rsity of Cambridge</div><div><a href=3D"http://www.cl.cam.ac.uk/~alk23/">ht= tp://www.cl.cam.ac.uk/~alk23/</a></div></div> --001a113d0fc8cdeee9053435c03a-- --===============8298089342236904555== Content-Type: text/plain; charset="iso-8859-1" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Disposition: inline _______________________________________________ UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora Corpora mailing list [email protected] http://mailman.uib.no/listinfo/corpora --===============8298089342236904555==--