Postdoctoral Researcher in Bio Statistics: Developing Adaptive Interventions for Lifelong Learning

5 days ago


Umeå, Västerbotten, Sweden Umeå University Full time
Job Description

Project Overview

The proposed project aims to develop and implement adaptive interventions to promote lifelong learning. This involves leveraging existing prospective cohort studies and intervention data to predict individual factors conducive to lifelong learning trajectories.

Research Objectives

  • To develop methods for predicting health outcomes using dynamic and adaptive modeling.
  • To address statistical challenges associated with the analysis of longitudinal data.
  • To construct individualized, AI-based interventions that can be updated using individual characteristics that may change over time.

Key Responsibilities

  • Develop and implement adaptive interventions to promote lifelong learning.
  • Analyze longitudinal data to identify individual factors conducive to lifelong learning trajectories.
  • Collaborate with the Department of Computer Science and Umeå Center for Functional Brain Imaging (UFBI) to develop and implement AI-based interventions.

Requirements

  • Ph.D. degree in a relevant area such as (bio)statistics, computational cognitive neuroscience, computer science, or epidemiology.
  • Expertise in computational neuroscience, probabilistic programming, and (bio-)statistical analysis.
  • Proficiency in academic written and spoken English.

Working Environment

The postdoctoral fellow will be based within the Department of Statistics at Umeå University and will work closely with the Department of Computer Science and UFBI. The research will also connect with other sub-projects in the research initiative.

Umeå University

Umeå University is a leading institution in research and education, with a strong focus on interdisciplinary collaboration and innovation. The university is committed to creating a diverse and inclusive environment that fosters academic excellence and creativity.



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