- Salary Package: remuneration is in accordance with Macquarie University Academic Enterprise Staff Agreement schedule for casual academic rates of pay
- Appointment Type: casual appointments, Session 1, 2020
- Macquarie University (North Ryde) location
Casual academic staff are wanted to tutor in this undergraduate unit within Cognitive Science in Session 1, 2020. Classes for this Session run from 24 February – 5 June 2020. Typically, tutors will be asked to take on 1-3 tutorial classes per week, depending on enrolment numbers, and are expected to assist with student consultation and the marking of unit assessments and examinations. Final exam marking for this session will have to be completed between 8 June and 26 June 2020. Some details on this unit:
COGS2020 – Experimental Design and Data Analysis for the Cognitive and Brain Sciences will teach students essential principles of experimental design and data analysis skills for research in the cognitive and brain sciences. Students will gain first-hand experience applying these skills by analysing real-life behavioural and neural data sets such as those from fMRI, MEG, and EEG. Students will learn the R programming language, which is widely used throughout the statistics and data science communities in academia and private industry. Topics covered include programming statistical analyses and visualising data in R, effective experimental design for hypothesis testing, and critically examining the results of statistical analyses in the cognitive and brain sciences.
The tutorials for this unit are 2 hours long and offered on a weekly basis, with tutorial sessions scheduled on Fridays. Tutorials include hands-on interactive and research-driven learning activities that require the use of the R programming language and software environment.
All interested tutors, who are available for this time period, are encouraged to register their interest. Experience tutoring in similar units, as well as having a background in a neuroscience-related field will be looked upon favourably. Competence in introductory-level statistics and performing data analysis in R is essential.
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To be considered for these positions, please register your interest online by submitting your cv and a separate (2-page maximum) cover letter addressing how you meet the following (essential and desirable) selection criteria. If you are applying for tutoring positions in multiple Cognitive Science units, please clearly highlight this in your cover letter, and indicate your order of preference. Your academic qualifications and industry, teaching, work experience should be clearly identified within your CV. If you are going to be unavailable for a period during the session, please note this clearly in your cover letter.
- A postgraduate qualification or current enrolment in a higher degree research program relevant to the teaching discipline;
- Competence in introductory-level statistics;
- Competence in performing data analysis in R;
- Ability to work independently and collaboratively with others;
- Demonstrated strong interpersonal skills and ability to communicate effectively with students;
- The right work in Australia for the duration of the semester.
- Preference will be given to applicants who can demonstrate tertiary level teaching experience.
- Background in a neuroscience-related field;
- Tertiary-level teaching experience, especially experience in a similar unit.
Interviews for the available positions may be scheduled mid-late January.
By providing an expression of interest (EOI) for these positions, you agree that your details may be placed on file for a period of 24 months. Successful EOIs will be kept on file, and may be considered when a vacancy arises that is an appropriate match to skill and disciplinary background.
Specific Role Enquiries: Bianca de Wit, Deputy Director Learning and Teaching on email@example.com or 9850 2987
General Enquiries: Rohana Nagarajah, HR Administrator on firstname.lastname@example.org
Applications Close: Sunday 5th of January 2020 at 11:55pm (AEST)
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We work to ensure genuine equality of opportunity for people regardless of their gender, age, cultural background, sexual orientation, gender identity, disability and/or family status, and we encourage you to apply for a position at Macquarie University.