Junior Research Scientist in machine learning and deep learning on structured data


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INRAE presentation

The French National Research Institute for Agriculture, Food, and the Environment (INRAE) is a public research establishment under the dual authority of the Ministry of Agriculture and the Ministry of Research.

INRAE is recruiting researchers by open competition and offering permanent position.

It is a major player in research and innovation created on 1st of January 2020. INRAE is a research institute resulting from the merger of INRA and IRSTEA. It is a community of 12,000 people with more than 200 research units and 42 experimental units located throughout France.

The institute is among the world leaders in agricultural and food sciences, in plant and animal sciences, and is 11th in the world in ecology and environment. INRAE’s main goal is to be a key player in the transitions necessary to address major global challenges. In the face of the increase in population, climate change, scarcity of resources and decline in biodiversity, the institute develops solutions for multiperformance agriculture, high quality food and sustainable management of resources and ecosystems.

Work environment, missions and activities

The Mathématiques et Informatique appliquées de Toulouse (MIAT) research unit is part of the Mathematics, computer and data sciences, digital technologies (MathNum) division of INRAE. The research unit is composed of two research teams (SaAB and SCIDyn) and three platforms (GENOTOUL Bioinfo, RECORD, and SIGENAE). In this laboratory, you will join the Statistics and Algorithmics for Biology (SaAB) team made up of ten researchers and engineers, a multi-disciplinary team in computer science/bioinformatics/statistics whose scientific applications are oriented towards biology. The team has developed skills on the topic of deep neural networks, and more particularly on neural networks capable of using or predicting structured information (for example graphs). The team also holds the "Design using intuition and logic" (DIL) chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI).

You will strengthen the team's synergy around the central theme of machine learning and complement the skills already present on the theme of deep learning, As a specialist in this field, you wil be capable of proposing original solutions/architectures for learning structured objects with neural approaches.
One of the main methodological obstacles concerns the development of original hybridizations between discrete optimization (for structure learning) and continuous optimization (on which neural networks are based). These questions are of great interest for various problems addressed by the team: inference of gene networks, protein design, phenotype prediction, and automatic annotation of genomes.

Our research team tells you more about your future job

Training and skills

PhD or equivalent

You hold a PhD or equivalent.
You preferably have research experience on the methodological aspects of machine and deep learning.
Complementary scientific skills oriented towards graph neural networks, structured prediction, or graphical models would be appreciated.
Likewise, knowledge of applications in molecular biology and genomics is not essential but would be a plus.
You enjoy teamwork and you have good interpersonal skills.
Fluency in English and knowledge of French are desired, as is long-term international experience: successful candidates who have not yet gained such experience will be strongly encouraged to make a stay abroad at the end of the internship year, prepared jointly with the host team.

INRAE's life quality

By joining our teams, you benefit from:

- 30 days of annual leave + 15 days "Reduction of Working Time" (for a full time);
- parenting support: CESU childcare, leisure services;
- skills development systems: training, career advise;
- social support: advice and listening, social assistance and loans;
- holiday and leisure services: holiday vouchers, accommodation at preferential rates;
sports and cultural activities;
- collective catering.

For international scientists: please visit your guide to facilitate your arrival and stay at INRAE

Offer reference

  • Profile number: CR-2024-MATHNUM-6
  • Corps: CR
  • Category: A
  • Open competition number: 35
Living in France and working at INRAE Our guide for international scientists

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