[FieldTrip] MEG job Sydney Australia

Paul Sowman paul.sowman at mq.edu.au
Fri Sep 6 02:56:45 CEST 2013

Senior Scientific Advisor

    Located in new state of the art premises, the Australian Hearing Hub
    Working in a leading Research Centre
    Handy to bus, trains, onsite parking available

The Faculty of Human Sciences is a unique and exciting combination of
disciplines across 4 key areas of expertise - Health, Education, Language
and the Mind. The faculty is known for its high calibre professionally
accredited courses and its research excellence across our Departments of
Education and Early Childhood, Linguistics, Psychology, Cognitive Science,
Health Professions and Advanced Medicine.

The Faculty of Human Sciences covers a broad range of disciplines and is
home to the Department of Cognitive Science. The Faculty is building in
health education and healthcare and is investing in the ARC Centre of
Excellence in Cognition and its Disorders as part of their expansion.

The Role

We are seeking a bright, self-motivated person to support research
objectives of the ARC Centre of Excellence and the Department of Cognitive
Science through the provision of scientific and technical support at the
KIT-Macquarie Brain Research Laboratory (Magnetoencephalography (MEG)

The role will involve technical support and logistical planning of the MEG
Laboratory, training staff and students in MEG system hardware and
software, performing routine tests for specific research projects,
providing recommendations and reports to the MEG Committee and advising
them on options for resolution of technical problems. Importantly, the
incumbent will be motivated to develop his/her own research into new
analysis methods and enhanced MEG signal quality.

Selection Criteria:

Please address the following selection criteria and upload as a separate
document as part of the application process. It is recommended that
applicants also attach a covering letter providing a concise overview of
their background, career interests, and suitability for the advertised


    Minimum requirement is a Master's degree in Neuroscience, Engineering,
Physics or related field.
    Understanding of the electromagnetic theory needed for signal analysis.
    Knowledge of signal processing techniques/methods.
    Experience with MEG and/or functional neuroimaging acquisition and
    Excellent reporting, numerical, statistical and computing skills
(including MATLAB and experimental control software).
    Experience in developing, implementing and maintaining protocols,
polices and procedures
    Good organisational skills including planning, prioritisation, time
management and initiative.


    Ability to design and deliver training
    Ability to communicate and engage with preschool children.

Employment in this position is conditional upon holding a Working with
Children Check Clearance

For full details of the role please view the position description.


Package: Level 7, base salary from AUD$79,437 – $86,127 p.a. plus 17%
employer's superannuation and annual leave loading.

Appointment Type: 3 years Full-time, fixed term. Position available

Specific Role Enquiries: Specific enquiries related to this position should
be directed to Lesley McKnight on lesley.mcknight at mq.edu.au or

General Recruitment Enquiries: please contact Patsy Moss on
patsy.moss at mq.edu.au or +61-2-9850 9821

Applications Close: 11:55pm22 September 2013 (Australian Eastern Standard

Macquarie University is an EO Employer committed to diversity and social
inclusion. Applications are encouraged from people with a disability; women
(particularly for senior and non-traditional roles); Indigenous
Australians, people who identify as GLBTIQ; and those from culturally and
linguistically diverse backgrounds.

Applications need to be submitted through the Macquarie University online
recruitment system. Where circumstances such as disability or remote
location prohibit your access to our online system please contact the
enquiries person listed in this advertisement for assistance.

Paul F Sowman
ARC DECRA Postdoctoral Fellow
Department of Cognitive Science
ARC Centre of Excellence for Cognition and its Disorders (CCD)
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