*PhD Position in Neural Machine Translation*

The School of Business and Engineering Vaud (www.heig-vd.ch) offers
bachelor and master programs in engineering and management as well as
post-graduate programs. With over 2,000 students, it is the largest
school in the University of Applied Sciences of Western Switzerland
(www.hes-so.ch). HEIG-VD conducts applied research and development
activities through its 13 institutes.



As a member of the Department of Information and Communication
Technology (heig-vd.ch/tic) and of its Institute for ICT
(iict.heig-vd.ch), you will:

Participate in a Swiss National Science Foundation project on
heterogeneous knowledge integration within statistical and neural
machine translation systems.

Carry out research towards a PhD degree, to improve and unify models of
document-level dependencies, in order to demonstrate a cumulative
improvement of translation quality. The thesis will focus on designing
neural models of discourse-level dependencies, and will leverage and
combine such models on demand in neural vs. statistical MT systems.

The PhD student will be registered in one of the doctoral schools of a
partner university (e.g., EPFL or the Universities of Geneva, Lausanne,
or Zurich).


School of Business and Engineering Vaud



Masters degree or equivalent in computer science, statistical methods,
or natural language processing. Previous experience with NLP, machine
translation, machine learning, deep neural networks. Strong programming
skills (e.g. in Python or C++). Strong academic record and a clear
aptitude for research. Autonomy, creativity, good capacities for
analysis and organization of work. Good command of English and good
writing skills.

Specific requirements:

Full-time position, starting date: 1 January 2019 (to be discussed)

Annual contracts, with a maximum duration of four years

Educational level:

Master Degree

How to apply:

Please mention NLP People as a source when applying

Contents of application: cover letter, CV, copy of university diplomas,
academic transcripts of courses and grades, summary of master thesis and
publications, and the names of three persons who can provide reference

Applications should be submitted at

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