BRIEF DESCRIPTION
The University of Melbourne's Department of General Practice, in collaboration with the University of Melbourne’s School of Computing and Information Systems invite applications for a 3.5 year funded PhD scholarship focused on the development and validation of NLP algorithms for the automatic extraction of adolescent risk-taking behaviours (e.g. substance use, risky sexual behaviours) and health conditions (e.g. depression, anxiety) from clinical notes.
SELECTION CRITERIA
Eligibility will be assessed on the following criteria:
* Applicants must be an outstanding applicant with an Australian first class undergraduate degree (or international equivalent), or masters degree in Computer Science or a related discipline * Applicants must demonstrate strong Python skills * Applicants must have some experience with Natural Language Processing methods * Applicants must demonstrate an interest in medical and health research with a focus on data analysis skills * Applicants must demonstrate an openness to learn new things, versatility, creativity, problem solving skills, and attention to detail * Applications must demonstrate effective verbal and written English language communication skills
It is also desirable, but not necessary, that applicants have experience working with data derived from electronic health records.
FURTHER DETAILS AND HOW TO APPLY
For more information regarding this opportunity, see:
https://www.statsoc.org.au/forum-job-vacancies/13086448
To apply for this position, please email PCTU-enquiries@unimelb.edu.aumailto:PCTU-enquiries@unimelb.edu.au with a cover letter addressing the selection criteria, a CV, and academic transcripts
SCHOLARSHIP VALUE & DURATION
The scholarship consists of living allowance of AU$33,000 per year (2023, indexed annually) for up to a maximum of 3.5 years. Additional "top-up" funding may be available