34.3451, Jobs: English; Cognitive Science: Post-Doctoral Researcher in Data Analysis, University of Fribourg
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LINGUIST List: Vol-34-3451. Thu Nov 16 2023. ISSN: 1069 - 4875.
Subject: 34.3451, Jobs: English; Cognitive Science: Post-Doctoral Researcher in Data Analysis, University of Fribourg
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Date: 11-Nov-2023
From: Stephanie Durrleman [stephanie.durrleman at unifr.ch]
Subject: English; Cognitive Science: Post-Doctoral Researcher in Data Analysis, University of Fribourg
University or Organization: University of Fribourg
Department: Autism, Bilingualism, Cognitive and Communicative
Development, Faculty of Science & Medicine
Job Location: Fribourg, Switzerland
Web Address: https://www.unifr.ch/med/de/research/group/durrleman/
Job Title: Post-Doctoral Researcher in Data Analysis
Job Rank: Post Doc
Specialty Areas: Cognitive Science
Required Language(s): English (eng)
Description:
The Autism, Bilingualism, Cognitive and Communicative Development
(ABCCD) group in Fribourg, Switzerland is looking for a post-doctoral
senior expert in data analysis to join their team (starting between
April/May and September 2024), either full time/90% for 18 months
(75,000 chf per year) or part time/60% for 2.5 years, with a slight
preference for the latter arrangement.
This member of our team will bring expertise in statistics and will be
instrumental in the discussion and support of ongoing data analyses,
training/ advice in the use of specific analysis techniques and
interpretation of the results along with the team members. The
candidate will also be comfortable in academic writing in English as
s/he will play an integral role in preparing/co-authoring manuscripts
for publication, thus a solid track-record attesting to academic
writing skills is required.
Our collaborator will ideally come from the field of experimental
psychology to facilitate gaining a full grasp of our research
questions on bilingualism and autism, and methods applied to address
them. Most studies underway in our group are concerned with
elucidating the impact of bilingualism on cognition and communication
and determining which potential mediators play a role. We are seeking
someone to help us decide on the most suitable statistical techniques
to analyze these very complex relationships, capable of incorporating
both cross-sectional and longitudinal data to evaluate the relevance
of bilingualism as a predictor of our dependent variables, integrating
both continuous and categorical predictors at all levels of
measurement (i.e., subject- and time-varying), and handling missing
data (e.g., due to some children not completing all tasks in the
protocol, dropout, etc). Ideally, s/he would be comfortable with an
array of techniques (linear mixed effect regression, Bayesian
Analysis, Structural Equation Modeling, cluster analyses, Latent Class
Analysis, Deviation Sum Coding…).
Interested candidates should send a CV (including 2 potential
references) and letter of motivation to the contact's email listed
below.
Application Deadline: 15-Jan-2024
Mailing Address for Applications:
Email Address for Applications: stephanie.durrleman at unifr.ch
Contact Information:
Prof. Dr. Stephanie Durrleman
Email: stephanie.durrleman at unifr.ch
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