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June

Postdoctoral Fellow

UNSW - Sydney, NSW

Health, Medical & Pharmaceutical
Source: uWorkin

JOB DESCRIPTION

This Job is based in Australia

The Black Dog Institute

UNSW Medicine & Health

REF#501995

The Black Dog Institute is a Medical Research Institute affiliated with UNSW Sydney, and a global leader in translational mental health research. The Institute harnesses the latest technology and other tools to quickly turn our world-class research findings into clinical services, education and e-health products that improve the lives of people with mental illness and the wider community. The areas of research strength include digital mental health, suicide prevention, workplace mental health, novel treatments, and prevention of depression and anxiety in young people.

We are looking to employ a Postdoctoral Fellow who will be responsible for working with Black Dog Institute researchers as part of its adaptive trials and digital phenotyping research themes. These themes are focussed on the relationships between changes in behaviour, measured using smartphone sensors, digital intervention, and mental health and cognition in young adults. They span major research projects in prevention and artificial intelligence being run by the Institute.

  • Salary: Level A/B, depending on experience and qualification
  • Appointment Type: Full-time (35 hours a week), fixed term position for 24 months.
  • Location: The Black Dog Institute, Randwick, Sydney


Skills And Experience Required For The Role
  • A university degree in data science methods, signal processing, biostatistics or a related discipline where such methods are used (e.g. engineering/applied mathematics) and/or relevant work experience.
  • A PhD that substantially incorporates quantitative analysis of data relating to human behaviour or health.
  • Strong understanding of theory and methods relating to quantitative analysis of data within human behaviour or health.
  • Strong applied skills in the quantitative analysis of high dimensional temporal data sets with clear evidence of hands-on expertise in data cleaning/transformation and data analysis planning/execution leading to peer-reviewed publications.
  • Strong understanding and technical knowledge of commonly used and complex statistical methods, and of statistical software packages.
  • Demonstrated skills with manipulating large datasets and developing custom software code for analysis using e.g. Python, R, or a related technical language.
  • Familiarity with Research Data Governance and Human Research Ethics principles and their application to the analysis of sensitive research data.
  • Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.


In Addition To The Above For Level B
  • Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
  • A track record of significant involvement with the profession and/or industry.
  • Demonstrated ability to conceptualise novel research questions in areas relevant to data science, signal processing, biostatistics or engineering and develop these into research outputs.
  • Experience in supervision of research assistants and undergraduate students.


To Apply: To be considered for this position, please submit your CV and respond to the skills and experience section of the position description.

For any specific role enquiries please contact Jill Newby (E: j.newby@unsw.edu.au), do not send applications directly to the above contact.

Applications close: 11.55PM, 17th June 2021.

Sydney, NSW

Health, Medical & Pharmaceutical




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