PhD position Tensor decomposition methods for data fusion: Application to multi-subject fMRI data, CRAN

We are offering a PhD position on tensor decomposition methods for data fusion, with application to multi-subject fMRI data.

Location: The CRAN laboratory (University of Lorraine) at Nancy, France, with visits to the MLSP laboratory (UMBC) in Maryland, USA. The candidate will work with Prof. Sebastian Miron, Dr. Ricardo Borsoi and Prof. David Brie in the CRAN laboratory, Nancy, and with Prof. Tülay Adali at the MLSP laboratory, UMBC, USA.

The starting date is flexible (the position is open until filled).

Description: Given the recent explosion in the amount of data from multiple modalities, a fundamental problem is fusing heterogeneous datasets containing dataset-specific information. The objective of the project is to develop flexible and directly interpretable unsupervised learning algorithms based on tensor decompositions for neuroimaging data fusion. Specific objectives include the study of their theoretical properties and demonstrate their performance on multi-subject and multimodality neuroimaging data for personalized medicine applications.

Candidate profile: Master's degree or equivalent, with experience in signal processing, machine learning or applied mathematics.

To apply: If interested, please send your application including an academic CV and a motivation letter to [email protected], [email protected], [email protected], and [email protected].

For further information, please see: https://cran-simul.github.io/assets/jobs/Phd_these_LUE_2024.pdf