National Research Council Canada (NRC) is seeking a postdoctoral candidate with an interest in ethical aspects of Natural Language Processing (NLP). The goal of the project is to develop tools and techniques to address two critical issues in ethical NLP applications design and use: fairness and explainability. AI applications often inadvertently perpetuate and accentuate unfair biases that can originate from multiple sources, such as training data, labeling process, data sampling, etc. Biased outputs can negatively affect certain demographic groups of users and even lead to discrimination. The ability of an AI system to provide understandable explanations for its decisions is a crucial factor in real-life applications both for developers to better understand the system’s behavior and for users to gain trust in the system. The techniques will be developed with the focus on one application area, abusive language detection in social media, while ensuring their applicability and/or transferability to other natural language understanding tasks and domains.
The successful applicant will join the Text Analytics group at NRC Digital Technologies Research Centre, which has a world-renowned reputation in Natural Language Processing and Computational Linguistics, including sentiment and emotion analysis, information extraction, medical informatics and health-related applications. The applicant will work in close collaboration with the project leads, Dr. Svetlana Kiritchenko and Dr. Isar Nejadgholi, but will also have access to diverse expertise of other NRC researchers.
Position duration: 2 years
Start time: flexible
Location of position: NRC Montreal Road Campus, Ottawa, Ontario, Canada
Degree: An applicant has to have obtained a Ph.D. degree within the last 5 years (or expect to obtain within the next 6 months) in one of the following or related fields:
- Computer Science
- Social Sciences
- working experience in computational analysis of textual or other kinds of data;
- good working knowledge of at least one programming language, preferably Python;
- excellent written and communication skills.
An applicant has to have a working experience or ability and desire to learn the following:
- machine learning pipeline;
- deep neural network algorithms;
- automatic text processing;
- text processing, machine learning, and deep learning libraries, such as NLTK, spaCy, scikit-learn, keras, PyTorch.
How to apply: please send your CV and an expression of interest to svetlana<dot>kiritchenko<at>nrc-cnrc<dot>gc<dot>ca before July 1, 2020 for full consideration. After the deadline, the applications will be accepted until the position is filled.
National Research Council Canada
The National Research Council Canada (NRC) is Canada's largest federal research and development organization. It brings together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. The NRC’s text analytics team conceives, builds, and evaluates tools that help extract information from textual data: explicit, implicit and inferred information, composite information (summaries), subtext information (sentiment, sarcasm, metaphor) and meta-information. The team collaborates with government, industry, and academia to drive text analytics technologies for a range of problem-driven and data-driven applications. The team has been working in areas such as situational awareness, clinical research informatics, sentiment and emotion analysis, and intelligence. Its innovative capacity and technical competency in machine learning methods and (big-) data-oriented methods have resulted in world-leading research, collecting multiple first-place rankings in text analysis research challenges such as i2b2 NLP for Clinical Data and the Sentiment Analysis track of SemEval.
At NRC, we know diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, an open and inclusive work environment, and contributing to a more inclusive Canadian innovation system.
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