You will be working at the School of Criminal Justice (ESC), which is the oldest institution offering a complete course in forensic science (Ba, MSc, PhD), combined with a 2nd and 3rd cycle program in criminology. The school adopts an integrated approach that brings together researchers who share a common role in developing knowledge aimed at protecting people, institutions, property and physical or digital environments from the current dangers associated with life in society and the threats that cause harm. From the diversity of the exchanges, there emerges a shared vision of the impact of criminal science research on the diagnosis and prevention of criminal problems, as well as the resilience of systems and the definition of policies and practices to fight crime and enhance security.
The specification includes the development of high-quality teaching aimed at strengthening and broadening the core areas of forensic and data analysis covered in the Bachelor of Forensic Science and ESC Masters degrees. In particular, you will develop teaching on the use of machine learning methods and data mining in forensic science.
You will develop research in the field of processing and exploiting trace data (machine learning - AI, data mining and visualisation) crime analysis purposes, as well as analysing digital investigation processes and practices (forensics, criminal intelligence and prevention). Your research can be integrated into both legal processes and security (incident response, anticipation, analysis and prevention).
As part of your work, you will be required to support and develop the ESC's casework service and continuing education courses in digital forensic science and crime analysis.
