| Application Deadline: | July 14, 2025 | Tentative Start Date: | July 28, 2025 | Duration: | 12 Months (Full-Time) |
This research focuses on utilizing and developing open sourced intelligence (OSINT) tools in the domain of Natural Language Processing to extract data and identify patterns of language used by corrupt police officers in the United States of America. The primary aim is to leverage publicly accessible official documents, including affidavits, offence reports, and similar records, to uncover patterns and recurring language features such as specific vocabulary or communication styles that may indicate misconduct or corruption within law enforcement. The research also focuses on developing automated tools capable of efficiently processing large volumes of text, thereby enabling timely detection and monitoring of potential corruption cases. Ultimately, this study aims to contribute to broader efforts in enhancing police accountability and promoting public trust.
Supervised by:
| Attorney George C. Lobb | Dr. Nisansa de Silva |
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We are looking for a capable individual, who is passionate about rooting out systematic abuse and corruption, to conduct research in the area of Natural Language Processing. The ideal candidate will conduct in-depth research in the field of Natural Language Processing, applying advanced analytical methods to uncover patterns and indicators of misconduct within law enforcement documentation.
Qualifications Required:
- An undergraduate degree in Computer Science or any other related field from a recognized university with a 2nd-class upper division or above.
- Solid programming and problem-solving skills.
- Experience in Deep Learning, Natural Language Processing (Especially handling Open Sourced LLMs) is beneficial.
What We Offer:
- An attractive monthly stipend (Arrangements can be made to pay the equivalent in USD).
- The selected candidate(s) will be registered to pursue an MSc (by Research) at the Department of CSE, UoM.
- Up to 60% tuition waivers on the degree pursued.
- Opportunity to contribute to impactful research publications.
- Support for advancing your research career.
Responsibilities:
- Request and collect police reports and other documents “data”
- Process data and metadata to detect patterns in language by each author (officer)
- Take samples of known corrupt police officers and compare it with others
- Distinguish between corruption of lies vs. corruption of omission or exaggeration
Academic Expectations:
- Please read the FGS MSc page to learn about university academic expectations.
- Please read the MSc (Research Degree) parts of this page to learn about Dr de Silva's research supervison expectations.