Josiane Mothe

Professor - Information Systems, Big Data, Information Retrieval, Information Exploring and Machine Learning

Phone number: +33(0)5 61 55 64 44
Email: mothe [at] irit [dot] fr
Institut de Recherche en Informatique de Toulouse (IRIT) / SIG team
118, Route de Narbonne
31062 Toulouse Cedex 04

Proposals for theses, internships and post-docs

Post-doc: information retrieval, data mining and machine learning.

Thesis: deep learning, machine learning, applied to medical and agricultural fields, security, social network search.

Internships (bac+2, L, M): Internships in connection or not with companies in the fields of information retrieval, data mining, machine learning, neural networks, artificial intelligence, applied machine learning.

Interested in these topics?
=> Please send your CV by email.

Région Observation de la Terre et territoire en transition challenge

In the general context of the UN's "Sustainable Development Goals" and the Paris Agreements, several large-scale international programs aim to better understand the origins and trajectories of climate forcings and outline roadmaps for action.

Earth observation data are powerful resources to understand the functioning of our planet, anthropogenic uses and pressures, which are key elements to understand the "Earth system" and implementing mitigation and adaptation strategies to global changes.

However, this global approach, which is essential to understand the general context, must be accompanied by specific efforts at the scale of the territory in question. These efforts must include both a better understanding of the environmental conditions of the territory, but also the associated human and social uses and issues.

The Occitania region is particularly well suited to the development of such an initiative:

Supported by the very favourable general context of the multi-disciplinary academic and industrial fabric, the approach proposed here is to identify a small number of locks that will allow significant progress to be made in a relatively short period of time and accessible to the proposed funding levels.

The three methodological locks selected are:

Organisation of the challenge:

The community will be asked to make proposals for "case studies" based on one or more of the identified challenges, but on a specific territory. We will ensure that the use cases supported cover the different geographical typologies of the territories (mountain, plain, coastline, urbanised areas), by articulating them when the problems studied require it and that they are based on a strong multi-and inter-disciplinarity.

Framing letter.