[Job-offers-cs] PhD and postdoc positions on low-rank tensor decomposition methods for spatiotemporal data analysis and data fusion

[Pekka Orponen]

We are offering PhD and postdoc positions on low-rank tensor 
decomposition methods for the analysis of spatiotemporal data and 
heterogeneous data fusion, with application to neuroimaging data.


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

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

Description: Low-rank matrix and tensor decompositions are fundamental 
tools in data analysis and fusion, as they take into account the 
multi-dimensional representation inherent to many real-world 
applications and readily provide insight into the relationships learned 
from the datasets. However, developing low-rank decomposition methods 
which are flexible to represent real-world datasets while at the same 
time retaining the strong theoretical guarantees is challenging. The 
general objectives of the project are to: 1) develop coupled tensor 
decompositions for data fusion which account for dataset-specific 
information, and 2) develop tensor decomposition methods for the 
analysis of heterogeneous data leveraging both algebraic (e.g., low-rank 
decompositions) and statistical frameworks. An important objective is to 
study the theoretical properties of the developed algorithms. The 
methods will be applied to multi-subject and multimodal neuroimaging 
data for personalized medicine applications.

Candidate profile:
- for the PhD position: Master's degree or equivalent, with experience 
in signal processing, machine learning or applied mathematics.
- for the postdoc position: Ph.D. degree in electrical engineering, 
applied mathematics or related fields.

To apply: If interested, please send your application including an 
academic CV and a short motivation letter to 
sebastian.miron at univ-lorraine.fr, ricardo.borsoi at univ-lorraine.fr, 
david.brie at univ-lorraine.fr, and adali at umbc.edu.

For further information on both positions, please see:
- For the PhD position: 
https://cran-simul.github.io/assets/jobs/Phd_these_LUE_2024.pdf>- For 
the PhD/postdoc position: 
https://cran-simul.github.io/assets/jobs/P_postdoc_these_NSF_2024.pdf>/dmanet/>