PhD Position in Psychology at Uppsala University

Uppsala University, Sweden is inviting excellent candidates to apply for a PhD position in artificial intelligence. This position is available for 5 years. Applications are welcome before July 29, 2019.

Duties/Project description: The PhD student position is embedded in the SAPIENS consortium, a European Marie Sklodowska-Curie Innovative Training Network, in which 15 PhD students investigate how the dynamics of early social interactions support the development of the social brain. SAPIENS combines advances in ecological, mobile real-time brain and behaviour measurement, data modeling and artificial intelligence to study early social development and to train a new generation of researchers in these ground-breaking approaches. The other nodes in the network are well-reputed research institutes located in the UK, the Netherlands, Belgium, Poland, and Italy.

This particular PhD student project will be based on existing large datasets of infants at risk for autism (Early Autism Sweden; EASE). EASE is a part of the world-leading autism consortium AIMS-2-TRIALS (www. aims-2-trials. eu) and the EUROSIBS network (www. eurosibs. eu), and is very well connected internationally. The student will be analyzing this rich dataset to increase our understanding of early development in children with autism. More specifically, the PhD student will analyze data from live eye tracking studies of social interaction (e. g. between infant and experiment leader or between infant and parent; see example below). In addition, several other possibilities for analyses are available; we try to take the particular strengths and interests of the PhD candidate into account when formulating the individual study plan. The EASE study includes behavioral data (e. g. eye tracking, motion tracking, pupillometry) and brain imaging (MRI) and electrophysiological data (EEG).

Candidates should have completed 4 years of university-level studies, of which at least 1.5 years should be within psychology (if it is unclear whether these formal requirements are fulfilled one should argue why ones training should be considered equivalent). Demonstrable experience with different quantitative data analysis and statistical approaches relevant for the project is highly desirable (e.g. time series analysis, mixed linear models, general computer programming skills). As the project focuses on analysis of longitudinal, multilevel data, you should enjoy working with quantitative data and be able to learn new analytical/statistical techniques quickly. Due to the international and interdisciplinary nature of the research group, good collaborative and communication skills are essential. Excellent English writing skills are a requirement.

  • measured from the date when the candidate obtained the degree which would formally entitle him/her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the candidate is recruited, irrespective of whether or not a doctorate is or was ever envisaged
Deadline: July 29, 2019
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