[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…

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[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…

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[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…

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[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…

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[PostDoc] Generalizable instance segmentation under visual style and domain shifts.

Keywords: instance segmentation, self-supervised learning, weakly supervised learning, multimodal analysis.Place: LIFO – Laboratoire d’Informatique Fondamentale d’Orléans, Orléans, FranceStarting: (approximative) May 2026, for 18 months. Salary : depending on experiences. The postdoc will contribute to the ANR EnACA project, focusing on AI-based multimodal understanding of comics, manga, and related art forms. The…

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[PostDoc] Long Term Time series prediction in environmental sciences

Profile: PhD in machine learning (computer sciences or applied mathematics); a candidate with a Master degree could apply if experience and skills are fulfilled.Duration: 6 months, starting as soon as possible and up to end of June 2026Affiliation: Computer Science Lab of Université de Tours (LIFAT), Pattern Recognition and Image Analysis Group (RFAI)Salary: around…

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