FILLED: Postdoctoral Research Fellow In Unsupervised Learning for Forensic Bloodstain Pattern Analysis

The Forensic Chemistry & Materials Lab and Trustworthy AI Lab at Ontario Tech University have an opening for a Postdoctoral Fellow (PDF) on an exciting new interdisciplinary project in the area of machine learning for bloodstain pattern analysis in crime scene investigation.

The position will be supervised by Dr Theresa Stotesbury, Assistant Professor in Forensic Science, and Dr Peter Lewis, Canada Research Chair in Trustworthy AI. The position is offered for 2 years at a salary of $60,000 per year.

We are looking for a collaborative researcher with an interdisciplinary mindset and a curiosity to look at problems from a new perspective. The successful candidate will take a leading role in and make substantial contributions to the Reimagining Bloodstain Pattern Analysis from the Bottom-Up project, which is funded by the Canadian federal government’s New Frontiers in Research Fund.

Candidates should have a background in computer science or artificial intelligence, and a strong working knowledge of machine learning. We are particularly interested in candidates who have experience with unsupervised learning and/or image data. An interest in achieving transparency, fairness, and trustworthiness in the criminal justice system will be an advantage.

Drawing on domain expertise from the broader project team, the successful candidate will conduct research on data-driven machine learning to identify emergent classification schemes arising from bloodstain pattern data. Engaging with the forensic science and AI communities, as well as partners in the criminal justice system, the successful candidate will identify, describe, and evaluate new classification schemes suitable for use by forensics practitioners.

As a member of both the Forensic Chemistry & Materials Lab and Trustworthy AI Lab at Ontario Tech, here will be substantial opportunity for mentoring junior researchers and developing collaborations with companies and other research groups. The successful candidate will be expected to play an active role in these activities, as well as for advancing our broader mission to advance trustworthy technology in service of society.

We aspire to be a collaborative, open-minded, inclusive, supportive, and fun environment for researchers to work and grow in, and we welcome applications from candidates who want to help us to advance this culture.

To apply, please click here.