Emilie Morvant
               Assistant Professor (Maître de Conférences) in Machine Learning

1-year Post-doc position
(an extension of the duration up to 1-year is possible)
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Expected Starting date: as soon as possible

Machine Learning for Multiview Learning

KEYWORDS: Statistical Machine Learning Theory, Transfer Learning, Representation Learning, Deep Learning, Multitask Learning, Multimodalities.


This position is proposed in the context of the french project LIVES for Learning with Interacting ViEwS: theoretical framework, algorithms, and benchmarks funded by the ANR - the french national research agency.
This project gathers 4 research labs: the Laboratoire Hubert Curien (LabHC) of Saint-Etienne, the Laboratoire d'Informatique de Paris 6 (LIP6), the Laboratoire d'Informatique Fondamentale de Marseille (LIF), and the Institut des Neurosciences de la Timone (INT, Marseille). It has for objective the development of well-founded machine learning frameworks for learning in the presence of multiple and interacting view and its confrontation to real-world problems. It covers a large spectrum from learning theory, algorithms to real applications in neuro-imaging and interactive gaming.

The Post-doc candidate will join the Data Intelligence research team of the Laboratoire Hubert Curien in Saint-Etienne (France), and will have the opportunity to collaborate with the other partners of the project.
The Data Intelligence team is specialized in machine learning, data mining and information retrieval, it is composed of 15 permanent researchers and 15-20 non-permanent researchers. The candidate will be part of the machine learning project of the lab whose main specific topics include statistical learning, learning theory, transfer learning, metric learning, representation learning, anomaly and fraud detection.

Scientific objectives

The objective of this project is to propose new machine learning methods to fill the hole in the current multiview machine learning state-of-the-art by providing new theoretical work(s) based on the characterization of the interactions between views, and enabling the construction of new methods and algorithms for multiview learning.

Research topics of interest include but are not limited to: Exploratory approaches in representation learning, transfer learning, dealing with missing data will be appreciated (but are not mandatory).

Required skills

We are searching for an *outstanding and highly motivated candidate* with:

Working environment

Saint-Etienne is a mid-size city (14th biggest city in France) and one of the cheapest in terms of living cost accommodation, food). It is 70 km from Lyon (45 min by train) and in a middle of a splendid regional park where skiing, hiking, climbing, biking are possible. The hosting research group has established expertise in relevant domains including statistical machine learning, transfer learning, metric and representation learning, unsupervised learning and computer vision. The successful candidate will have the opportunity to work in synergy with two Ph.D. students. The **expected salary is 2193 euros NET per month** (gross salary: 2,727 euros), including health care.

Application instructions

The candidates should send: