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Post-Doctoral Fellow (Text Mining)

Apply now Job no: 499531
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Post doctoral research fellow


The Kirby Institute

UNSW Medicine



  • One of Asia-Pacific’s leading research-intensive Universities
  • Full time (35 hours/week) fixed term for 6 months
  • $107K-$126K plus 9.5% superannuation and leave loading
  • Based in Sydney

The Kirby Institute is a leading global research institute dedicated to the prevention and treatment of infectious diseases. Established in 1986 in response to the then emerging HIV epidemic, the Kirby Institute now contributes to knowledge on a broad range of diseases, including viral hepatitis and sexually transmissible infections. The Justice Health program was formed in 2011 at the Kirby Institute and undertake a broad range of research activities many at the intersection of the public health and criminal justice systems.

We are seeking to appoint a Post-Doctoral Fellow to undertake Text Mining of police event narratives to better understand factors associated with domestic violence through the use of information from the NSW Police’s “Computerised Operational Policing System” (COPS). The position will be responsible for using Text Mining to examine the features of domestic violence events to identify risk factors associated with the perpetrator, victim and the context of the FDV events. The position will be based initially at Parramatta but the analysis of the output from the Text mining will occur at the Kirby Institute.

To be successful in the position you will have:

  • PhD in public health, epidemiology or text mining. Experience with research and knowledge of issues and behaviours affecting those in contact with the justice system (e.g., substance use and mental illness) will be highly regarded.
  • Experience in designing complex text mining applications. Natural Language processing skills.
  • Able to work with GATE, cTAKES, Prodigy and programming skills in Python and R.
  • Demonstrated experience in data management and analysis in SPSS, SAS or STATA. Experience working with large datasets will be highly regarded.
  • Experience working with criminal justice data.
  • Excellent verbal and written communication skills with highly developed interpersonal skills and ability to work with staff, students and peers from diverse backgrounds.


You should systematically address the selection criteria in your application. Please apply online, applications sent directly to the contact below will not be considered.

Download File Post-Doctoral Fellow (Text Mining)_PN 00048628_Lvl B.docx

Contact: Professor Tony Butler


Applications close: May 30th 2020

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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