PhD position in text mining and knowledge extraction from learning materials WeST Lab @ The University of Ottawa

With the development of Massive Open Online Courses, it has become
extremely important to enable automated processing and semantic analysis of
teaching materials and learning content, as well as automated gradingof
students’ writings (e.g., essays and open-ended responses).

In the context of a large research project, spanning across several
universities, this thesis will focus on teaching corpus analysis and
extraction of a disciplinary knowledge model (concepts, relations and
formal axioms) from teaching materials in various domains. The objective
will also be to define disciplinary literacy features and to enable the
extraction of these features from learners' open-ended responses.

The candidate will explore open information extraction methods, Linked
Data-based semantic annotation, machine learning (including deep learning)
and text mining methods.

All these topics and techniques are in high demand both in academia and
industry and will be strong assets for the retained candidate.


Requirements:
- A master's degree in informatics, computer science, or information systems
-Expertise in Semantic Web/Linked Data, knowledge extraction, text mining,
natural language processing, and/or machine learning will be considered as
a strong asset

To apply:
Please compile into one PDF document a detailed curriculum vitae, master's
degree transcripts, selected publications (if available), a list of
references, and your master's thesis, and send the document by email to
Prof. Amal Zouaq (azouaq@uottawa.ca).

Applications will be considered for the position until it is filled.

Selected candidates will be interviewed on the fly.

The PhD is expected to start in January 2017 (latest).



-- 
Dr. Amal Zouaq
Professeure agrégée | Associate Professor
Université d'Ottawa | University of Ottawa
Ecole de science informatique et de génie électrique  | School of
Electrical Engineering and Computer Science
Office / Bureau: STE 5062
Telephone:  (613) 562-5800 ext. 6227
http://www.site.uottawa.ca/~azouaq/