- At MIND, you will find a unique mix of leading scientific research and technical expertise to leverage machine learning and statistical signal processing for brain sciences. Working at Parietal is a unique opportunity to develop your expertise.
- MIND is part of Inria, the French computer science institute. This gives us access to collaborations with experts in high-performance computing, databases, machine learning etc.., support services with expert programmers, grid computing and massive storage infrastructures. On top of that, having worked at Inria is a great line on a CV.
- MIND is affiliated with CEA/NeuroSpin, the lead brain-imaging center in France, and works in tight collaboration with world-class neuroscientists such as the members of Unicog, at the frontiers of cognitive science and neuroimaging.
- MIND is committed to high-quality work, both in terms of publications and of open-source software. At MIND you can have a real impact by joining a team that produces methods and software to tackle difficult problems in understanding images of brain function.
Specific offers
Job offers for 2024
Postdoc position
A 3-year postdoc position is available to work on high-resolution functional MRI for humans at 11.7T (NeuroSpin, France). Main supervisor: Philippe Ciuciu, collaboration with Alexandre Vignaud from the METRIC team. CEA funding.
Internships & PhD subjects
Most internships at MIND are intended to lead to PhD positions.
- Distributed Dimensionality Reduction for Large-Scale Physical Simulations. Joint position with the Thot team in Inria Grenoble, supervised by Thomas Moreau & Hadrien Hendrikx
- Benchmarking and improving random search for hyperparameter optimization. Joint position with the SODA Team, supervised by Thomas Moreau & Gaël Varoquaux.
- Changepoint and anomaly detection in industrial monitoring with time series. Supervised by Thomas Moreau, co-advised with Saint-Gobain Research, a possibility of a Cifre PhD.
- Unveiling The Links between Cognition and Neuroimaging through Contrastive Learning Regression. Supervised by Demian Wassermann.
- Realistic fMRI simulations for data augmentation in self-supervised fRMI image sequence reconstruction. Supervised by Philippe Ciuciu.
2024 Developer position:
