at Umeå center for Functional Brain Imaging (UFBI) and related institutes/labs.
Postdoctor (3 years) on the Development of Adaptive Interventions to Promote Life-Long Learning at Umeå University, Faculty of Science and Technology.
We are seeking a candidate for a 3-year postdoc position to be included in the research initiative "Learning and Brain Plasticity throughout the lifespan", which is one of Umeå University’s prioritized research areas. This project spans a multidisciplinary network of 20 principal investigators across three faculties with Professor Lars Nyberg as the project leader. The postdoc will be based within the Department of Computing Science and work closely with both the Department of Statistics at USBE and Umeå Center for Functional Brain Imaging (UFBI). The research will also connect with other sub projects in the research initiative.
The candidate will be part of the sub project “Adaptive Interventions to Promote Life-Long Learning”, aimed at leveraging the rich longitudinal databases to better understand how health-promoting lifestyle interventions can promote cognitive abilities in aging. The main task is to develop methods for predicting health outcomes using dynamic and adaptive modeling whilst addressing computational challenges the analysis pose. This will contribute to constructing individualized, AI-based interventions that can be updated using individual characteristics that may change over time, e.g. motivation, health, and activity. Outputs from this project will include new models and estimation tools, and will inform the design of the ongoing development of interventions, as well as future interventions to promote life-long learning.
The Elliott Lab at the University of Minnesota is seeking applicants for a 12-month, 100%-time postdoctoral associate. This position is ideal for applicants who have MRI processing and data analysis experience and are interested in studying individual differences in cognitive and brain aging. The successful applicant will join an active laboratory, under the direction of Professor Max Elliott, that is addressing a wide array of questions in aging, brain imaging, and psychopathology research. This position will include a central role in an active, funded collaboration between the Elliott Lab and researchers at Harvard University, Stanford University, the University of Chicago, the Massachusetts Institute of Technology, the University of Oslo, and Umea University. The initial appointment will be for one year, with the possibility of renewal based on available funding, performance, and departmental need. Salary range: $62-65K, depending on qualifications and experience.
Duties: ● 50% - Prepare manuscripts to submit for publication based on data sets in the lab, including, but not limited to, MRI, epigenetics, blood biomarkers, and cognitive assessments. ● 20% - Data management and analysis. Organizing, cleaning, analyzing, and acquiring data. ● 15% - Train and supervise undergraduates, graduate students, and personnel responsible for data collection and related data analyses. ● 15% - Participate in the design, implementation, and evaluation of research studies.
Required qualifications: ● Ph.D. in a related field or discipline.
Preferred qualifications: ● Expertise in MRI data collection, processing, and analysis ● Experience in mentoring and supervising staff ● An established scientific publication record ● Strong data management skills
