Opportunities

PhD Scholarship in Contextual Modulation in Human Visual Processing at UNSW Sydney

https://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/contextual-modulation-human-visual-processing

The UNSW Scientia PhD scholarship scheme aims to attract new PhD scholars of exceptional quality to undertake projects in strategic research areas at UNSW. This scheme is particularly targeted at candidates with an honours degree in addition to relevant work and/or research experience in academia, government and/or industry.

UNSW Scientia PhD scholars are awarded $50k per year, comprising a tax-free living allowance of $40k per year for 4 years, and a support package of up to $10k per year to provide financial support for career development activities. The student will be encouraged to make use of these funds to present their research at national and international conferences, and extend their research network through visits to other research institutes and/or industry and government placements. All tuition fees are covered for the full 4 year period.

Supervisory Team: Prof Colin Clifford, Dr Damien Mannion, Prof Branka Spehar

Colin W G Clifford, PhD
Professor, School of Psychology
UNSW SYDNEY
NSW 2052 AUSTRALIA
T: +61 (2) 9385 1050
F: +61 (2) 9385 3641
E: colin.clifford@unsw.edu.au
W: unsw.edu.au
CRICOS Provider Code 00098G
[updated on: 2 July 2018]

PhD scholarship in face identification at UNSW Sydney

Call for Expressions of Interest: UNSW Scientia PhD Scholarship
“Understanding super-recognition to improve face identification systems”
The UNSW Forensic Psychology Group invites Expressions of Interest for a unique PhD scholarship opportunity.
UNSW Scientia PhD scholars are awarded $50k per year, comprising a tax-free living allowance of $40k per year for 4 years, and a support package of up to $10k per year to provide financial support for career development activities.
The project is targeted at PhD candidates that are qualified to honours and/or masters level in psychology, computer science of cognitive science. We are particularly interested to hear from applicants with work experience in research, government or industry.
The topic of this thesis is open to negotiation, but we hope that the work can contribute to our broader goal of understanding how the best available human and machine solutions to face identification can be combined to produce optimal systems.
For more details and to apply see the following links:
Please direct informal inquiries to david.white@unsw.edu.au
[updated on: 13 June 2018]

PhD / Postdoctoral fellowship on depth perception using behavioural / neuroimaging (fMRI) measurements in human and non-human primate

Centre de Recherche Cerveau et Cognition, Toulouse, France

Starting date: September – December 2018

A PhD / postdoctoral (depending on the experiment of the applicant) research position is available to work with Benoit Cottereau in the ECO-3D team of the CerCo laboratory (Toulouse). The aim of the project is to investigate how 3D properties within natural scenes influence visual processing and depth perception in primate. The project will include behavioural (psychophysics) and neuroimaging (fMRI) recordings in both human and macaque (see Cottereau et al., Cerebral Cortex 2017 for an example of fMRI study in non-human primate) so as to determine the homologies but also the differences between the neural mechanisms involved in the two species.

The city of Toulouse is an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border).

The position is for 36 months for a PhD student and 18 months (with potential for a renewal) for a post-doctoral student with standard French salaries. The starting date should be between September 1st and the end of 2018. Applications should be sent to benoit.cottereau@cnrs.fr including a CV and 2 names of references.

Reference:

– Cottereau, B. R., Smith, A. T., Rima, S., et al. (2017). Processing of egomotion-consistent optic flow in the rhesus macaque cortex. Cerebral Cortex, 27(1), 330-343.

[updated on: 18 May 2018]

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