Nicolas Dobigeon @ Univ. of Toulouse
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Nicolas Dobigeon

Professor @ Toulouse INP
University of Toulouse, IRIT/INP-ENSEEIHT

AI Research Chair @ ANITI
Artificial and Natural Intelligence Toulouse Institute

Scientific Advisor @ Hcéres
High Council for Evaluation of Research and Higher Education

Honorary Member @ IUF (Junior Class 2017)
Institut Universitaire de France




Open positions

Informations for M.Sc., Ph.D. and post-doc applicants

If you are interest in joining our group, please read these guidelines carefully before applying.

Current openings

  • Assistant professor (Maître de Conférences) position offered at IRIT/INP-ENSEEIHT:
    Signal, image and machine learning (at large)
  • Postdoctoral position funded by CNES:
    On the use of machine learning methods to boost LISA's global fit
  • Ph.D. position funded by CNES and Magellium, as part of the ANITI RELEO AI Research chair:
    Conditional generative models informed by physics for Earth observation
  • Ph.D. position funded by Univ. Orléans :
    Bayesian deep learning methods for uncertainty quantification in inverse problems: model, theory and applications

Biosketch

Nicolas Dobigeon received the Eng. degree in Electrical Engineering from INP-ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the Institut National Polytechnique de Toulouse (Toulouse INP), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from Toulouse INP in 2007 and 2012, respectively. From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor.

Since 2008, Nicolas Dobigeon has been with Toulouse INP (INP-ENSEEIHT, University of Toulouse) where he is currently a Professor. He conducts his research within the Signal and Communications (SC) group of IRIT and is an associate member of the Apprentissage Optimisation Complexité (AOC) project-team of CIMI. He currently holds an AI Research Chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI) and he is an Honorary Member of the Institut Universitaire de France (IUF, Junior Class 2017).

His recent research activities have been focused on statistical signal and image processing, with a particular interest in Bayesian inverse problems and applications to remote sensing, astronomy and astrophysics, biomedical imaging and microscopy.

He is currently a Senior Area Editor for IEEE Trans. Signal Processing (since 2022) and a Scientific Officer/Advisor for the Dept. of Research Evaluation at the High Council for Evaluation of Research and Higher Education (Hcéres, since 2023).

He was an Associate Editor for IEEE Trans. Signal Processing (2020-2022), Signal Processing (2016-2020) and Digital Signal Processing (2018-2020) and a member of the SPTM TC of the IEEE Signal Processing Society (2018-2020). He was the Deputy Head of the Dept. of Signals and Images at IRIT (2017-2024), a member of the scientific working group dedicated to "Data science and digital society" for the Fed. Univ. Toulouse Midi-Pyrénées (2020-2022), a steering committee member of the French research group GDR-ISIS (2013-2018), a member of the French National Council of Universities (CNU/Section 61, 2012-2016) and an elected member at the Research Council of Toulouse INP (2014-2016). He was the Head of the Major Program on "Signal and Image Processing" (2011-2019) and the Founding Head of the Major Program on "Artificial Intelligence for Information Processing" (IATI, 2022-2024) at INP-ENSEEIHT.

He is an IEEE Senior Member and a Member of the European Laboratory for Learning and Intelligent Systems (ELLIS).

CV (Web)» CV (PDF)»

News

Highlights Accepted papers Submitted papers Events Other info

  • Jan. 2025 Accepted paper on dual-modality scanning for fast Raman micro-imaging @ Biomed. Optics Express
  • Nov. 2024 Accepted paper on a Bayesian formulation of regularization-by-denoising (RED) @ IEEE TIP
  • Oct. 2024 Accepted paper on on-the-fly (sequential) unmixing @ Chemom. Intell. Lab. Systems
  • Sep. 2024 Appointed as Scientific Advisor @ Hcéres
  • Aug. 2024 Accepted paper on NF-SAILS, a sampling method for pre-trained normalizing flows @ Mach. Learning
  • July 2024 New preprint on posterior sampling for Bayesian imaging with explicit score function-based priors
  • July 2024 New preprint on on-the-fly (sequential) spectral unmixing based on Kalman filtering
  • July 2024 New preprint on source separation with Sinkhorn divergence-based allocation of the source power
  • May 2024 Accepted paper on removal of RFI from dynamic spectra of pulsar observations @ ASCOMP
  • Apr. 2024 Accepted paper on plug-and-play split Gibbs sampler @ IEEE TIP
  • Feb. 2024 Accepted paper on hyperspectral unmixingwith deep autoencoder and RED @ IEEE TGRS
  • Feb. 2024 New preprint on a Bayesian formulation of regularization-by-denoising (RED)
  • Feb. 2024 Accepted paper on generative adversarial network for change detection @ Information Fusion
  • Dec. 2023 Accepted paper on superpixels-based fast Raman hyperspectral microimaging @ Optics Express
  • Nov. 2023 New preprint on removal of RFI from dynamic spectra of pulsar observations
  • Nov. 2023 Accepted paper on spatial-spectral multiscale sparse unmixing @ IEEE GRSL
  • Oct. 2023 Accepted paper on generative model-based spatial regularization for multiband imaging @ IEEE TIP

Old news/events »


Miscellaneous

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Contact

INP - ENSEEIHT Toulouse
2, rue Charles Camichel
B.P. 7122
31071 Toulouse Cedex 7
FRANCE
Google map / Access map
Office : F420 - 4th floor
Tel. : (+33) 05 34 32 22 40
Fax : (+33) 05 34 32 21 57
E-mail : dobigeon [at] n7 [dot] fr
www : https://ndobigeon.github.io/
Follow @NicolasDobigeon

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