Postdoctoral researcher - Infant Sleep Neurophysiology
Veröffentlicht:
11 Oktober 2024Pensum:
100%Vertrag:
Festanstellung- Arbeitsort:Fribourg
40.00 - 80.00% auprès du Departement of Psychology
Particularité
The University of Fribourg is seeking a highly motivated and technically skilled Postdoctoral Researcher to join a groundbreaking SNSF-funded RCT project focused on infant sleep and the microbiome. The successful candidate will lead the collection and analysis of physiological sleep assessments, including high-density EEG data obtained from infants in their homes, as well as wearable (actimetric) data. This role includes mentoring a PhD student to support these research tasks. Additionally, the Postdoctoral Researcher will be responsible for implementing a novel methodology to remotely assess infant cognition via webcams. Proficiency and independence in sleep EEG preprocessing and advanced coding is essential. Data analysis will be multidimensional, including accelerometric, EEG, cognitive, and other relevant metrics to be implemented in publications.
This role is part of a clinical multicenter randomized controlled trial (RCT) project aimed at understanding how sleep impacts infant development.
How to Apply
Interested candidates should submit the following:
A cover letter outlining relevant experience and motivation for the role.
A detailed CV, including a list of publications.
Contact information for at least two academic references.
Domaine d'activité
Task Setup: Develop and implement an online webcam-linked eye-tracking task using computer vision to measure visual attention, face processing, and learning capacity in infants through smartphone and webcam recordings
Project management and Mentorship: overseeing data collection, organization, and ensuring data quality assurance, and provide direct guidance and mentorship to a PhD student
EEG and Exhalomics Support: Assist in conducting at-home, evening, EEG and exhalomics assessments using advanced techniques
Sleep EEG Analysis: Conduct advanced sleep EEG analyses using MATLAB, beyond foundational analyses of topography, power spectra, and coherence, focusing on markers of oscillation features, neuronal connectivity, and employing sophisticated statistical methods such as multilevel models and random intercept cross-lagged panel models
Neurobehavioral Development: extract and analyse demographic and developmental parameters related to cognitive development in infants
Exigences
PhD in Biomedical Engineering, Neuroscience or Cognitive Science
Language: Fluent in English, German and French (mandatory)
Major experience and independence with sleep EEG data collection and analysis
Proficiency and independence in coding, as well as advanced statistical modeling
Experience in setting up novel tasks and analysis pipeline
Strong skills in data management and quality assurance
Excellent social skills, written and verbal communication skills
Preferred Qualifications
Experience working with infants or young children and their families