The Network Dynamics Lab at McGill University is recruiting a Postdoctoral
Fellow to lead a study developing novel methods for analyzing the impact of
sponsorship on scientific research, as part of the Canadian Institutes of
Health Research-funded project, ?Automating Scientific Transparency: Using
Machine Learning to Build a Comprehensive Database of Disclosure

This role offers excellent opportunities for research, development, and
publication. We are looking for individuals who are able to independently
lead a project developing machine learning and natural language processing
methods for extracting information on the sponsorship of scientific
research. The scope of the study includes devising the novel machinery for
extracting sponsorship patterns, and conducting analyses that use inferred
patterns to understand the influence of sponsorship on research and
publication activities.

Working under the supervision of Dr. Derek Ruths (McGill School of Computer
Science) and Dr. Nicholas King (McGill Faculty of Medicine, Department of
Ethics and Policy), the fellow will lead a project to automatically extract
metadata and disclosure information from scientific articles, and develop
natural language processing algorithms to extract and verify information
about relationships between authors and sponsors. The Network Dynamics Lab
conducts high impact research aimed to advance the responsible use of data
science. This position is an opportunity to join a vibrant
interdisciplinary research team working at the forefront of applied AI and
data science. Applicants should have a familiarity with working with large,
unstructured textual datasets and experience with natural language
processing. Experience with entity linking, entity relation extraction, and
data analysis in Python are pluses. Applicants with backgrounds in computer
science, data science, sociology, ethics, and any other related fields are

The project is based in Montreal but remote work may be possible. We
welcome and encourage applications from racialized persons/visible
minorities, women, Indigenous persons, persons with disabilities, ethnic
minorities, and LGBTT2SQ* persons, as well as from all qualified candidates
with the skills and knowledge to productively engage with diverse


McGill University


Applicants should have at the time of award completed a PhD in
a relevant discipline including, but not restricted to, computer science,
sociology, political science, or a related field.

Educational level:

Ph. D.

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