[Postdoc] Gravitational Instability Detection with InSAR and Deep Learning – DIGIRAP

Université Savoie Mont Blanc is recruiting: Position Overview One Postdoctoral Researcher (M/F)Full-time fixed-term contractPeriod: March 2, 2026 to March 1, 2028Reference: LISTICDIGIRAP Location Primary affiliation:LISTIC Laboratory (Polytech Annecy-Chambéry)Site du Bourget-du-LacBâtiment 2 – Avenue du lac d’Annecy73370 Le Bourget-du-Lac Partner laboratories: ISTerre and EDYTEMCampus scientifique73370 Le Bourget-du-Lac About the Research Units…

Lire la suite

[PostDoc] Deep Anomaly Detection in Time Series

Anomaly detection is a challenge in itself. The capacity to detect anomalies is a major ingredient of safe and trustworthy AI systems across major application areas. Anomaly detection is unsupervised by nature, since abnormal events are rare, varied, and cumbersome to collect. Conventional methods can be roughly grouped into three…

Lire la suite

[Post-doc] Online Optimal Transport

Keywords: Optimal Transport, Sinkhorn algorithm, Online Learning, Machine Learning, Signal Processing. Description: Optimal transport (OT) is a powerful framework to define and compute distances between distributions (a.k.a. Wasserstein or earth mover’s distance), with a tractable computation thanks to the Sinkhorn algorithm [1]. Entropic regularization, which enables fast iterative scaling and…

Lire la suite

[PostDoc] Post-Doctoral Research Visit F/M Integrating fuNctional MRI and EEG with Carbon-wire Loops : towards the characterization of mUltimoDal functional biomarkErs (INCLUDE).

This 2-year postdoctoral position is part of the exploratory action INCLUDE (Integrating fuNctional MRI and EEG with Carbon-wire Loops: towards the characterization of mUltimoDal functional biomarkErs), funded by Inria (PI: Julie Coloigner and Claire Cury, researchers at IRISA/Inria, Univ Rennes, Empenn team, julie.coloigner@irisa.fr, claire.cury@inria.fr) https://jobs.inria.fr/public/classic/en/offres/2025-09390 Context The human brain is organized as…

Lire la suite

[PostDoc] Postdoctoral Researcher Position

AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…

Lire la suite