15 machine learning PhD positions at CNRS

PhD Position in Physics (M/F)

professors, teacher-researchers, engineers, and doctoral students. The team is mainly involved in the PALLAS laser-plasma accelerator project. Optimizing Laser-Plasma Accelerators through Machine Learning The

PHD Student in Neuromorphic attention models for event data (M/F)

of Research ExperienceNone Additional Information Additional comments Programming skills in Python/C++ are expected, as well as an interest in research, machine learning, bio-inspiration, electronics, and

(M/F) PhD offer : Automatic prediction of intonation from speech gestures

machine learning, speech science, cognition and behavioural studies. If all disciplines are addressed in this PhD position, candidates without expertise in some of the areas listed below are nevertheless

PHD Candidate (M/F/D) Numerical design of bottom-up fabricated optical Huygens metasurfaces

is an impossible task in metasurfaces composed of millions of elements. The PhD aims to develop methods using machine learning surrogate models to solve this complex design problem. The project aims

M/F: PhD: Localization and map building for a fleet of agricultural outdoor field robots

, control, machine learning. Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD

Fully funded NLP/ML PhD position (M/F): Language modeling under distribution shifts

of this project are expected to be published in the main natural language processing conferences/journals (*ACL/EMNLP/TACL) and/or main machine learning conferences/journals (NeurIPS/ICLR/ICML/AISTATS/TMLR

PhD position in Geography M/F

, etc.). He/she will benefit from the site's infrastructures and services (computer equipment, on-site catering). Professional travel is to be expected (work meetings and field missions). Learning from

PhD Student (M/F) at IRIF - Algorithms and complexity related to quantum computing

-dimensional Euclidean spaces - Machine learning - Distributed computing - Complexity (communication, queries, memory) - Continuous optimization The specific topic can be refined based on the candidates' skills

PhD position on physics of neuroscience M/F

. The project involves data driven statistical approaches, such as maximum likelihood inference, Granger Causality inference and machine learning. Requirements Research FieldChemistryEducation LevelMaster Degree

PhD in Neutrino Physics on DUNE (M/F)

as machine learning are being developed, however all those fancy methods relies on the very basic information which is the charge reconstructed on each channel. The detector response was modeled