- Applications close
- 24 December 2020
What you'll receive
The successful applicant will receive a scholarship, tax exempt and indexed annually of $28,597 per annum for a period of three years, with a possible 6 month extension, subject to satisfactory progress.
International students will also receive either:
- an Australian Government Research Training Program (RTP) fees offset (International)
- a QUT research degree (HDR) tuition fee scholarship.
As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field of the psychology of emotional expression processing.
To apply for this scholarship, you must meet the entry requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students.
You must also have:
- An English language IELTS level of 6.5 of higher, with a minimum of 6.5 in written English
- A background in Experimental Psychology or a related discipline
- First class honours or equivalent
It would be desirable for applicants to also demonstrate:
- Experience in programming experiments
- Experience in psychophysiological recordings
How to apply
Interested applicants must submit an Expression of Interest (EOI) for consideration prior to applying for this scholarship, as per QUT's how to apply website.
The EOI must include:
- an up-to-date curriculum vitae (CV), including recent IELTS or equivalent score for international applicants
- a two-page research proposal addressing the scholarship topic a writing sample (e.g. copy of an article/essay/thesis you have completed)
- contact details for 2 academic referees
The EOI must indicate that you are applying for this scholarship, and must have Professor Ottmar Lipp nominated as your potential supervisor
What happens next?
Applications will be contacted directly with an outcome of their Expression of Interest,
For questions about the research project, please contact Prof Ottmar Lipp via firstname.lastname@example.org
For questions about the application process, please feel free to E-Mail email@example.com
About the scholarship
We are seeking a full-time, highly motivated PhD candidate to perform cutting-edge research in the psychology of emotional expression processing. The successful candidate will be working under the direct supervision of Professor Ottmar Lipp in the School of Psychology and Counselling. During the course of their PhD, the candidate will drive a research project that extends current knowledge about the manner in which facial expressions are processed and the factors that influence it. It is expected that the new basic knowledge generated will contribute to high-quality publications. Travel to national and international conferences will be available to the successful candidate.
About the Project - The Emotional Face
Faces are a rich source of social information communicating, for instance, the sex, age or ethnicity of a person. In addition, they also inform about a person’s emotional state via facial expressions of emotion. Past research has shown that social category cues, information about a person or facial cues of attractiveness affect the manner in which we perceive emotional expression information. For instance, happiness is recognised faster than negative expressions like anger on faces that are evaluated as positive (faces that are young, female or members of an in group, faces that are attractive or of persons thought to be good), whereas this difference is smaller on faces that are less positive (faces that are old, male or members of an out group, faces that are not attractive or of persons thought to be bad).
The current PhD project will extend on this work by investigating the nature of the information that can affect the speed of emotion recognition. Past research has suggested several avenues in which this question may be pursued. Details will be developed in collaboration with the successful applicant.
In all likelihood, the current project will require the collection of behavioural data from simple categorization tasks. However, it is conceivable that physiological measures such as event related brain potentials may be assessed as well.