PhD Scholarship in Media, Technology and Surveillance: Understanding Public Attitudes Toward The Use of Facial Recognition Systems in Australia
Job No.: 626652
Location: Caulfield campus
Employment Type: Full-time
Duration: 3-year and 3-month fixed-term appointment
Remuneration: The successful applicant will receive an Arts Research Living Allowance, at current value of $29,500 per annum 2021 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: www.monash.edu/graduate-research/study/scholarships/scholarship-policy-and-procedures. A tuition fee scholarship and Single Overseas Health Cover (OSHC) will be provided for a successful international awardee.
The Monash Node of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S Centre) is funding a PhD scholarship that focuses on the social, cultural, and/or political issues associated with automated decision-making systems. The candidate would work within the Data Program of the Centre, which focuses on topics related to the collection and processing of data for automated decision-making from a cultural, theoretical, and historical perspective. The ADM+S Centre is a new, cross-disciplinary, national research centre, which aims to aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making. Funded by the Australian Research Council from 2020 to 2026, ADM+S is hosted at RMIT in Melbourne, Australia, with nodes in eight other Australian universities. It brings together leading researchers in the humanities, law, social and technological sciences in an international research, industry and civil society network. Its research is structured into four programs—Institutions, Data, People and Technology—and four priority domains for public engagement—news and media, transport, social services and health. ADM+S students will participate in a national ARC Centre-based research and professional development program, collaborating with peers and Centre members across a range of disciplines, Australian and international universities and industry organisations.
The successful applicant will have a foundation in critical theories of digital media and will work on a project related to one of the four focus programs in the Centre: Social Services, Health, News and Media, and Transport/Mobilities. Within these areas, the scope of possible projects is broad, but the proposed research will need to fit within the expertise of the available advisory team, which includes critical theory, digital media theory, and social theory with a focus on qualitative methods.
Undertaking a PhD as part of the Centre project has several advantages. The successful candidate will be incorporated into a network of interdisciplinary researchers and will benefit from the Centre’s research training program, which includes reading groups, summer schools, hackathons, media training, and competitive grant opportunities for supporting PhD research. The candidate will also be able to participate in Centre events including symposia, conferences, public talks, and other public facing events.
Monash University is the largest university in Australia and regularly ranks in the top 100 universities worldwide. It has six globally networked campuses and international alliances in Europe and Asia. The applicant will be based at the Caulfield campus in Melbourne. For more information about the university and the school of MFJ please refer to the following link: www.monash.edu .
The successful applicant will have an excellent academic track record in Media Studies or another relevant discipline. The successful candidate will have experience of research methods in one or more of the following area: qualitative research, survey research, document-based research, digital research techniques.
In its assessment, the selection committee will prioritise applicants who hold an Australian (or equivalent international) Honour’s or Master’s degree (both in a relevant field), with a significant research component and with first-class honours/H1 awarded.
Details of eligibility requirements, including English-language proficiency skills, to undertake a PhD in the Faculty of Arts are available at www.monash.edu/arts/graduate_research/how-to-apply . Applicants should ensure they familiarise themselves with these requirements before deciding whether they should apply.
Scholarship holders must be enrolled full-time and on campus. Please note: applicants who already hold a PhD will not be considered.
Successful applicants will be expected to enrol by March 2022. However, there may be some flexibility as to the date of commencement.
Submit an Expression of Interest (EOI)
EOIs shall comprise:
- A cover letter that includes a brief statement of the applicant’s suitability
- A brief research proposal not exceeding 750 words in length that fits within the broad project aims and objectives, and demonstrates some understanding of the area of research
- A curriculum vitae, including a list of any published works, conference presentations and relevant work experience
- A full statement of academic record, supported by scanned copies of relevant certified documentation
- Contact details of two academic referees
- Copy of your current passport (if available)
It is important that you contact lead CI Professor Mark Andrejevic prior to submission of the EOI to discuss the project.
Once you have discussed your EOI with Professor Mark Andrejevic, EOIs should be sent, preferably in the form of a single attachment to an email, to Ms Kinda Say, Senior Graduate Research Administrator, Faculty of Arts, at the following email address email@example.com . State “EOI [your name] - PhD Scholarship in Media, Technology and Surveillance: Understanding Public Attitudes Toward The Use of Facial Recognition Systems in Australia” in the subject heading of the email.
Shortlisted candidates will be interviewed (over Skype if necessary). The interviews will be conducted in English.
Professor Mark Andrejevic, firstname.lastname@example.org
Friday, 12th November 2021, 11:55pm AEDT
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