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), your objectives will be the following ones:

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. One of the two PhD theses will
focus on designing neural models of discourse-level dependencies, while
the other one will design and compare methods for leveraging and
combining such models on demand in neural vs. statistical MT systems.

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


The 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

Language requirements:

Good command of English and good writing skills

Specific requirements:

Starting date: 1 April 2018 or later

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


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