[R-sig-ME] Open PhD position on mixed effect models at University of Geneva
Olivier Renaud
o||v|er@ren@ud @end|ng |rom un|ge@ch
Wed Oct 28 11:51:34 CET 2020
I would appreciate it if you can forward this email to anyone who might
be interested.
The Methodology and Data Analysis group ( https://www.unige.ch/fapse/mad
) at the University of Geneva (Switzerland) is considering applications
for a 4-year PhD position funded by the Swiss National Science Foundation.
The PhD student will be enrolled in the statistics PhD program and will
be under the supervision of Prof. Olivier Renaud. The topic of the
thesis focusses on the development of new methods in mixed effect models
to be applied in psychology and in neurosciences. Broadly speaking, it
will consist in both statistical and computational extensions of
Frossard J, Renaud O (2019) Choosing the correlation structure of mixed
effect models for experiments with stimuli.
http://arxiv.org/abs/1903.10766 .
Ideal candidates would hold a Master in statistics, or a related field,
have excellent skills in mathematical statistics, have excellent
programming skills, be interested in interdisciplinary research, and be
proficient in English.
Geneva is a great place to work and is noted for its international
character and its high quality of life. The research environment is very
interdisciplinary, with great conditions, the possibility to interact
and to improve general and technical skills e.g. through programs for
doctoral students.
For more information and to apply send an e-mail to
mailto:Olivier.Renaud using unige.ch . Applications should include a short
statement of research interests, CV, copies of Bachelor and Master
degrees, including the grades obtained, and contact details of potential
references, who can be contacted for more information.
Review of applications will begin immediately and will continue until
the position has been filled.
Olivier Renaud https://www.unige.ch/fapse/mad/renaud/
full text: https://www.unige.ch/fapse/mad/openposition/
[[alternative HTML version deleted]]
More information about the R-sig-mixed-models
mailing list