*Job Description*
We at the Unviersity of British Columbia's okanagan campus in Kelowna are
currently looking to recruit a postdoctoral fellow with a background in
natural language processing. Ideally, the candidate would have experience
working within social chat ecosystems working on areas such as language
prediction, conversation prediction, single line predictions.
The project is sponsored by an industry partner in the domain of cyber
security and cyber surveillance on social networks and other platforms
where the environment is uniquely challenging as the users actively try and
subvert the filtering process. Deliberate misspelling of words, short
(sub-18 character) text, high volumes of data, and evolving cultural trends
make this a particularly fun area of discovery.
The post-doc will have to work with a team of full-time data scientists and
interns that work across the country to move the cutting edge research
forward and we are looking for a postdoc to join the team and lead a
section of this research agenda.
*Summary of Project:*
The aim of this partnership with Université Laval in Quebec City is to
develop the next generation of tools to detect, filter out, and anticipae
toxic content in conversations in online communities. Since online content
comes in dozens of languages, one major challenge will be detecting toxic
messages in this multilingual context.
A great opportunity for a Post-Doctoral Fellow to conduct cutting-edge
research in the Rapidly-Growing Tech Hub of the Beautiful Okanagan Valley
and the one of the world renowned the University of British Columbia, in
its Okanagan campus in British Columbia.
*Research Objectives/Sub-Objectives:*
· Create toxicity detection tools that can work in a language
agnostic way or that can easily be adapted to new languages.
· Assist graduate students in designing and implementing natural
language processing (NLP) tools that can work in multiple languages
*Methodology:*
We do not require one specific methodology. However, the methodology
selected must be capable of:
· Handling noisy short user-written messages in a variety of
languages
· Handling a massive stream of messages in real time
*Expertise and Skills Needed:*
· Deep neural networks
· Natural language processing
· Research team leadership and management
*About the industry partner:*
Two Hat Research has developed the next generation of moderation tools for
virtual worlds and social networking apps. Our Community Sift product lets
clients define which kinds of chat messages are acceptable and which are
high risk. We are committed to eliminating bullying from the web. We work
with some of the largest video game, social media, and messaging companies
on the internet and are scheduled to process 4 billion chat messages per
day.
*Salary: *
The contract will be initially 1 year but extendible upto 3 year based on
performance. The salary will be competitive starting at a minimum of
C$45,000/year based on experience.
Interested candidates may forward their CV with 2 recent research articles
to Dr. Apurva Narayan, Assistant Professor, Department of Computer Science,
The University of British Columbia, Okanagan campus, Kelowna, BC, Canada
Email: apurva.nara...@ubc.ca
--
*Dr. APURVA NARAYAN* PhD
Assistant Professor | Department of Computer Science
The University of British Columbia | Okanagan
Campus
Adjunct Assistant Professor | Department of Systems Design Engineering,
University of Waterloo,
Waterloo, ON, Canada
3187 University Way | Kelowna BC | V1V 1V7 Canada
Phone 250 807 8272 Ext. 78272
http://people.ok.ubc.ca/anaray02/
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