[on behalf of Kou Murayama -- please note the deadline for applications is
in 2 days]
*******
Title: Postdoctoral Research Fellow in Educational and Data Science
Place: School of Psychology and Clinical Language Science, University of
Reading, UK
PI: Kou Murayama (http://koumurayama.com/)
Term: Full-time, 2.5 years
Application website: https://jobs.reading.ac.uk/displayjob.aspx?jobid=4496
We are seeking a postdoctoral research fellow to undertake research in the
Motivation Science Lab (PI: Kou Murayama; http://koumurayama.com/) at the
University of Reading in educational and data science, specifically to
examine
the function of interest and curiosity in education using publicly-available
data.
The successful candidate will be part of a big interdisciplinary team
funded by
the prestigious Leverhulme Research Leadership Award --- a 5-year ￡1M
award. We
aim to establish an integrative theory of human interest and its relations
to
extrinsic rewards, combining psychological, neural, computational, and
applied
perspectives.
The postdoctoral research fellow will work on a project that applies
multivariate
statistical analysis and/or machine learning to examine the role of
interest and
curiosity in education, with additional possibility to work on an
educational
intervention study.
The position will be for 2.5 years (full-time) and the expected start date
is on
May 1st, 2019 (negotiable).
The School of Psychology and Clinical Language Sciences at the University of
Reading was ranked in the top 20 (15th) in the UK in its unit of assessment
in
the 2014 Research Excellence Framework based on research power. The
university
provides cutting-edge computational facilities to conduct a variety of
advanced
statistical analysis and statistical simulation.
You will need to have:
- PhD in Psychology, Education, Applied Statistics, or other related
discipline
(or working towards completion)
- Good knowledge about education science in general (ideally good knowledge
on
motivation research in education)
- Good data analysis skills (multivariate statistical analysis, longitudinal
data analysis, machine learning, etc.): Please specify the type of analysis
and
program that you can use.
- Evidence of having published peer-reviewed papers on the relevant topics.
- Ability to work independently, good organizational skills, and good
interpersonal skills.
Application Deadline: 28/02/2019
