Métaprogramme DIGIT-BIO. Crédit photo : @REZOOmarketing
Theses

Theses

DIGIT-BIO provides support for interdisciplinary PhDs theses that meet its scientific objectives.

Co-funded doctoral contracts

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Metaprogramme DIGIT-BIO co-funds two doctoral contracts each year, providing 50% of thesis costs. Thesis topics supported by the metaprogramme must be developed within an interdisciplinary context; these theses are typically supervised jointly by researchers from two different disciplines, and address interface questions.

  • Further information on applying to the metaprogramme for co-funding: INRAE Intranet (restricted access)

Accredited thesis topics

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The metaprogramme is also able to offer accreditation for thesis topics that fall within its research themes. Accreditation allows doctoral students and their supervisors to become part of the DIGIT- BIO scientific community (participating in seminars and events organised by the metaprogramme) and accredited students may apply for occasional grants to support certain activities.

In this folder

Thesis by Yohann Quivet (2025 - 2028 , BF2I). This thesis proposes to explore the relationship between aphid’s nutritional needs and their parthenogenetic development stages, with a specific focus on amino acids and lipids

Thesis by Meije Mathé (2023 - , Toxalim). Awaiting translation

Thesis by Chloé Ladreyt (2025 - , BFP). xxx

Thesis by Adèle Coppel (2025 - 2028, LIPME). The objective of this PhD project is to investigate, through modelling approaches, the role of wind in the modulation of plant immune responses and to identify molecular actors involved in the variability of resistance associated with acclimation and sensitization.

Illustration thèse confinancée

Thesis by Julien Kossi Kowou (2025 - , UMR GABI). This PhD project aims to develop statistical analysis methods to explore inter-species genetic diversity.

Illustration thèse confinancée

Thesis by Aurélien Besnier (2025 - 2028, UMR EMMAH). The overall aim of the thesis is to estimate wheat architectural development traits at the organ level using the Phenomobile V2 unmanned rover, the latest generation of high-throughput field phenotyping (HTP) instruments.

Thesis by Noémien Maillard (2023 - 2025, UMR GenPhyse).

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Thesis by Maxime Multari (2024 - 2026). In this project, we propose to reconstructe a global network of plant molecular interactions, and developing multi-omics integration strategies coupled with network inference modeling.

Thesis by Chloé Weckel (PRC, 2024-2026). Following on from the IMAGO exploratory project funded by DIGIT-BIO, this thesis continues the interdisciplinary development of new formalisms to describe the spatio-temporal dynamics of cell signalling in the context of reproductive control.

Thesis by Alexandre Asset (BREED /MIA-PS, 2024 - 2026). Building on the work of EPINUM, this thesis proposes to investigate the most appropriate AI approaches that integrate epigenetic data into phenotype prediction models.

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