Contact: Mrs. Ornella Sciuto (recruit@oii.ox.ac.uk)
Deadline: September 3 2018
The Oxford Internet Institute (OII) is seeking to appoint a Course Tutor for an introductory level course in social statistics.
We are looking for a colleague who can take lead responsibility for delivery of this course, including design and delivery of lectures, leading of workshop/surgery sessions, coordinating the work of teaching assistants, and setting and marking of assessments. The course forms a core requirement for the MSc Social Science of the Internet degree and admits students with a range of disciplinary backgrounds. The objective by the end of the term is to have equipped students with a shared foundation of statistical literacy covering, inter alia, probability distributions and their description, sampling, hypothesis testing, and univariate regression analysis. The course is taught with the R statistical language, and students should acquire a basic familiarity with both producing and interpreting the output from this software.
The positions are suited to candidates who have recently completed (or are near completion of) a doctorate in a relevant discipline (for example, mathematics, statistics, economics, sociology, political science, or social data science, although this list is only indicative) and with experience of working with and teaching statistical methods. The ideal candidates will have a substantial record of teaching excellence within the domain of social statistics.
Excellent communication skills and presentation abilities are required. Teaching takes place in central Oxford during Michaelmas Term 2018 (1 October –30 November 2018), with examinations to occur immediately after this period.
To apply for this role and for further details please click on the link below
Only applications received before 12.00 midday on 3 September 2018 will be considered. Interviews for those short-listed will take place the week commencing 17 September 2018.
Source: Job Opening: Part-time Course Tutor – Digital Social Research | Oxford Internet Institute