Monica Baciu
6 months ago
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Postdoctoral Researcher in Neurocognitive Aging and Brain Energy Modeling Université Grenoble Alpes in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral position for 18 months, with possible extension. Funding amount, stipend, and tuition details are not mentioned.
Deadline
Expired
Country
France
University
Université Grenoble Alpes
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About this position
Postdoctoral position in neurocognitive aging and brain energy modeling at Université Grenoble Alpes in Grenoble, France, within the Laboratory of Psychology and Neurocognition (LPNC, CNRS UMR 5105).
The NEUROAGE project focuses on neurocognitive aging, cognitive reserve, brain energy dynamics, and individual aging trajectories. The work aims to move beyond group-average approaches and develop a precision neuropsychology framework integrating cognitive reserve and brain energy measures to explain resilience, vulnerability, and aging phenotypes.
Research topics include multimodal data integration, structural and functional connectivity, graph theory, Bayesian modeling, GAM, mediation analyses, machine learning, and predictive phenotyping. The role involves structuring and harmonizing multimodal datasets, constructing a CBR index and energy metrics, modeling reserve-energy-cognition relationships, and identifying phenotypes and trajectories.
Applicants should have a PhD in computational neuroscience, strong neuroimaging expertise (especially fMRI/connectivity), strong Python and machine learning skills, and experience with multivariate modeling (e.g., PCA/PLS). Experience with multimodal integration, dynamic modeling (HMM), and MEG is a plus.
The position is 18 months long, with a possible extension. The post does not mention a stipend amount or full funding details. To apply, prepare a CV, publication list, three selected papers, a cover letter, and recommendation letters, then contact Monica Baciu by email.
Funding details
Postdoctoral position for 18 months, with possible extension. Funding amount, stipend, and tuition details are not mentioned.
What's required
PhD in computational neuroscience is required. Strong neuroimaging expertise, especially fMRI and connectivity, is required. Python and machine learning skills are required. Experience with multivariate modeling such as PCA/PLS is required. Experience with multimodal integration, dynamic modeling such as HMM, and MEG is listed as a plus. Applicants should be able to structure and harmonize multimodal datasets and work on reserve-energy-cognition modeling.
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Professors
Professeur des universités
France
Research Interests
Cognitive Neuroscience
Neuropsychology
Neuroscience
Learning And Memory
Neuroinformatics
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.