Post-Doctoral Fellow - Analytics and AI Ecosystem
Queen's University
Kingston, Ontario, Canada
18h ago

Description of Area or Topic of Research :

The Smith School of Business at Queen’s University invites applications for an Industrial Postdoctoral Fellow (iPDF) position to take a leadership role in the Digital Technology Supercluster project Wellbeing.

ai. The iPDF will use modern techniques in artificial intelligence, machine learning and more specifically, natural language processing, to tackle research problems and advancements in the following (yet not limited to) areas under the supervision of Dr.

Stephen Thomas, his collaborators and industry partners :

  • Automatic topic generation
  • Virtual assistant diagnostics
  • Recommendation / Inference engines optimization
  • Voice to text
  • This role will position the iPDF to transition to industry or to a teaching role at a research institution. The iPDF will conduct research to support new methodology and perform benchmarking comparisons in real-data exercises provided by two leading industry partners : Wysdom.

    AI and lululemon athletica. Ultimately, the research will support the development of a model to understand wellbeing, enabling a digital brain’ (virtual assistant) to understand human interactions to deliver an immersive and personalized coaching experience.

    The iPDF will create and edit written materials for publications as well as give talks to engage the broader Smith School of Business Analytics & AI community.

    The iPDF is expected to be independently motivated to execute high-quality research in a collaborative environment.

    Qualifications

    The successful candidate should have a PhD completed within the last 5 years in Computer Science, Machine Learning, Statistics, Operations Research, Engineering or a related field.

    They will ideally have familiarity with supervised and unsupervised machine learning, deep learning, natural language processing, chatbots, recommender systems, and related AI / ML and statistics literatures.

    Experience with both shallow NLP procedures (e.g., TF-IDF) and deep NLP procedures (e.g., RNNs, large pre-trained language models such as GPT-3) is preferred.

    Experience in Python is preferred.

    This position will require the ability to work independently as well as in teams and to communicate effectively with a variety of project stakeholders both internal and external to Smith.

    The ability to communicate technical material effectively to a broad audience as well as the ability to set goals, track progress and prioritize as necessary to meet the deadlines are highly desired.

    Compensation

    $60,000 minimum with consideration given to industry experience. Additional funding pending.

    Start Date and Duration of Appointment :

    Start date is negotiable; 2-year postdoc term.

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