Postdoctoral Researcher in Statistical Data Analysis
University of Oxford - School of Anthropology and Museum Ethnography
|Salary:||£30,738 to £37,768|
|Contract Type:||Contract / Temporary|
|Placed on:||12th October 2016|
|Closes:||17th November 2016|
The Institute of Cognitive and Evolutionary Anthropology (ICEA) seeks to employ a Postdoctoral Researcher in Statistical Data Analysis on a 14-month fixed-term basis, based at the School of Anthropology and Museum Ethnography, Oxford.
This post has been created as part of an international project: ‘ALIGNED quality-centric software and data engineering’. This Horizon2020-funded project brings together an interdisciplinary team of computer scientists, software engineers, historians, archaeologists and social scientists from around the world. The part of the programme led by ICEA investigates how the introduction of digital data curation and gathering tools changes the way historical and archaeological data are gathered and analysed. This post will focus on the statistical analysis of historical and archaeological data collected for over 400 polities from the past 5000 years. The analysis will also focus on the metadata, especially metadata pertaining to levels of productivity, data quality and agility, of the dataset.
Your duties will involve designing statistical models and arranging data analysis, contributing to research publications, and presenting and discussing findings at national and international academic meetings.
You must hold a PhD in a relevant discipline and have relevant experience, particularly in testing rival hypotheses with data, and writing code in R. You must have excellent communication skills, and an understanding of complex data structures with non-independent observations/data points due to historical relationships, and/or spatial or temporal autocorrelations.
For further details, including the job description and selection criteria, please click on the link below. You will be required to upload a CV and supporting statement as part of your online application for this fixed-term position.
The closing date for applications is 12.00 noon on 17 November 2016.
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