ExposUM Doctoral Nexus: 2025 thesis topics open for applications
What is ExposUM Doctoral Nexus?
The Doctoral Nexus proposed by the ExposUM Institute are networks of 3 to 4 doctoral students doctoral students from different disciplines, affiliated to at least two different research units.
Compared with a traditional thesis, taking part in a Doctoral Nexus will foster the ability to work in a team and design projects in a transdisciplinary way, while deepening one's own field of expertise.
A specific pedagogical program will be offered, and the doctoral student concerned will also have the opportunity to organize a seminar within the Nexus network.
Theses are funded from the outset for 4 years, including the doctoral student doctoral student 's salary and an environmental allowance.
On the following page, you'll find the ExposUM Doctoral Nexus projects that won the AAP Doctoral Nexus 2025.
How to apply?
The specific application procedure is described in the thesis topics. Interested candidates are invited to submit their applications by May 31, 14:00 CET.
Thesis topics closed to applications:
Nexus EXPO-PMT "Integrated approach to Persistent, Mobile and Toxic pollutants in water resources: assessment of their contribution to EXPOsome, recommendation of adaptation solutions".
- Topic 1 "Contribution of PMTs to aquatic exposure: diagnosis and treatment of water resources intended for human consumption"
EXPO-PMT Topic 1 Brosillion, Gomez EN - Topic 2 "Modelling the spatio-temporal toxicological impacts of PMTs in the drinking water sector"
EXPO-PMT topic 2 Servien, Patureau EN - Topic 3 "Exploring strategies for adapting drinking water services to resource degradation by emerging micropollutants: Development of a diagnostic and decision-support method"
EXPO-PMT subject 3 Guérin-Schneider FR
Thesis topics open for application:
Nexus AMYLOPATH " Exploring Microbe-Induced Amyloidoses through an Interdisciplinary Approach "
- Topic 1 "Development and application of computational approaches to study the mechanisms of microbe-induced amyloidogenesis."
AMYLOPATH Topic 1 Kajava EN - Topic 2 "Co-condensation of yeast prion-like proteins"
AMYLOPATH Topic 2 Caudron EN - Topic 3 "Gut microbiota and amyloidosis in Alzheimer's disease"
AMYLOPATH topic 3 Claeysen FR
AMYLOPATH topic 3 Claeysen EN
Nexus CLIMAnX "Climate Change and Mental Health: from Anxiety to Adaptive Well-Being".
- Topic 1 "Impact of environmental disasters on the consumption of psychotropic drugs in France"
CLIMAnX topic 1 Artero & Parmentier FR
CLIMAnX topic 1 Artero & Parmentier EN - Topic 2 "Preclinical study of the influence of heat stress on brain activity and cognitive and social performance"
CLIMAnX subject 2 Becamel & Givalois FR
CLIMAnX subject 2 Becamel & Givalois EN - Topic 3 "Climate anxiety, mental health and student success: factors, consequences and pedagogical interventions"
CLIMAnX topic 3 Bächtold & Brun EN - Topic 4 "Modalities of exposure to climate risks, eco-anxiety and social cohesion"
CLIMAnX topic 4 Rey-Valette & Bazart FR
CLIMAnX topic 4 Rey-Valette & Bazart EN
Nexus LEPTONEX "Leptospires and Exposure Nexus: interactions between humans, dogs, coypu and the environment".
- Topic 1 "Geographical, social and cultural determinants of risks related to interactions between humans and coypu"
LEPTONEX topic 1 Caillon FR - Topic 2 "Multi-scale modelling of coypu spatial dynamics"
LEPTONEX topic 2 Gimenez FR
LEPTONEX topic 2 Gimenez EN - Topic 3 "Characterization of the diversity and circulation dynamics of leptospires in coypu populations by combining epidemiological and landscape genetic approaches"
LEPTONEX topic 3 Charbonnel FR
LEPTONEX topic 3 Charbonnel EN
Nexus INTEGRAAL "Interoception, Exposome, Gut Microbiota, Rheumatoid Arthritis, Artificial Intelligence & ontological Linking".
- Subject 1
INTEGRAAL subject 1 Olié FR - Topic 2 "Integrative understanding of the link between environment, microbiota, self-perception and rheumatoid arthritis"
INTEGRAAL topic 2 Immediato-Daien & Bourinet FR - Topic 3 "Hybrid prediction model for rheumatoid arthritis (RA) based on machine learning enriched by a dynamic ontology of the disease and the exposome"
INTEGRAAL topic 3 Bringay & Abrouk FR