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Detecting a failure before it occurs: that is the goal of the research being conducted by Antoine Hubermont, a doctoral student at UNamur. This project, named Monsater, is funded by SPW Research as part of the Win4Doc program in collaboration with the space company Telespazio Belgium. It addresses a key strategic challenge: ensuring the reliability of complex systems, particularly in the space sector. 

ContextThe University of Namur organises sporting events or supports participation in events organised by third parties. In this context, it may be required to manage event registration, timing and the publication of participants' performances in events it organises, or to grant discount codes for participation in the Namur Marathon for instance.Categories of personal data processed and purposes of useFor the purposes of this activity, the University of Namur processes data falling into the following categories:General identification data [category including the following types of data: surname, first name, postal address, email addresses, copy of identity card, identity photograph, telephone number, …] Personal characteristics [a category comprising the following types of data: date of birth, gender, place of birth, marital status and nationality, residence status in Belgium, mother tongue, languages spoken, possession of a driving licence, etc.]Identifiers assigned by UNamur [category including the following types of data: student number, internal registration number, eID for access to internal resources, access card identifiers, student card number, …]Data relating to sound, photographs or video recordings [category including the following types of data excluding CCTV images and identity photographs: recordings, metadata associated with recordings, …]Data relating to membership of a group [category including the following types of data: student, UNamur staff member, …]Data relating to participation in a sports competition [category including the following types of data: registration, race time, ranking in a race, …]Data relating to the category of athletes [gender, age, individual/team, disabled sports team, …]These data are used to:Manage the registration of participants in a sports event organised by UNamurManage the participation of UNamur members in sports events organised by third parties (e.g. the Namur Marathon)Manage the participation of registered persons in an event (allocation of race numbers, timekeeping, participant rankings, …)Manage the compilation and publication of rankingsManage publications relating to these events, including on social mediaBasis of lawfulness for data processingFor events organised by UNamur, registration and participation data are processed insofar as this processing is necessary for the performance of a contract with the data subject or for the implementation of pre‑contractual measures taken at the request of that person (Article 6(1)(b) GDPR).For the management of the participation of UNamur members in events organised by third parties, UNamur relies on its legitimate interest in processing participants’ data (Article 6(1)(f) GDPR), this interest consisting in promoting sport by encouraging voluntary participation of students and staff in sports competitions.For publications relating to these events, UNamur relies on its legitimate interest in processing data (Article 6(1)(f) GDPR), this interest consisting in promoting the event and informing the public about the competition and participants’ results.SPECIFIC CATEGORIES OF DATA In pursuit of the aforementioned purposes, the University of Namur may also need to process data relating to the existence of a disability where a team associated with a participant with a disability registers under a team name that identifies the participant with a disability, although this is not mandatory. In such cases, this identification, which reveals information relating to the participant’s health, must be made with the consent of the data subject (Article 9(2)(a) of the GDPR).Categories of data subjectsThe categories of persons whose data are processed for the purposes of this activity are:Enrolled studentsStaff membersParticipants in an eventData sourcesThe data included in this processing activity come from the following sources:The data subject has provided themThe data are retrieved from a University databaseRecipients of the dataThe data are processed solely by individuals and services of the University for the purposes of carrying out the activity. Internal recipients mainly belong to the following category:Administrative staff of the UniversityExternal recipients belong to the following categories:External organisations involved in the organisation of sports eventsExternal service provider O’TOP Services, acting on behalf of and on the instructions of the University to manage registrations and timing. This service provider is responsible for publishing the results. It also offers its own services to individuals who create an account on its website. The public with access to publications relating to sports eventsCharacteristics of the processingThe retention period is determined according to the operational needs linked to the purpose for which the data are used.As part of this processing activity, the University of Namur makes use of services provided by third parties involving transfers of personal data outside the territory of the European Economic Area, namely to the United States.This transfer takes place under the following safeguards:The transfer is made to an organisation (social network) that undertakes to implement measures in line with the requirements of the European Commission to ensure an adequate level of protection.Rights of data subjectsData subjects have rights described on the page: https://www.unamur.be/en/privacy-policyFor any other request, the first point of contact is: secretariat.vecu@unamur.be

ContextThe University of Namur offers members of the university community and external users the possibility to access sports activities through an access card and a subscription system. This involves the processing of personal data relating to subscriptions and registration for sports activities. Most activities are accessible upon presentation of the access card. Some activities (such as tennis and volleyball) require prior registration via a dedicated application (NOVA SPORT).Categories of personal data processed and purposes of useFor the purposes of this activity, the University of Namur processes data falling into the following categories:General identification data [category including the following types of data: surname, first name, postal address, email addresses, copy of identity card, identity photograph, telephone number, …]Identifiers assigned by UNamur [category including the following types of data: student number, internal registration number, eID for access to internal resources, access card identifiers, student card number, …]Personal characteristics data [category including the following types of data: date of birth, gender, place of birth, civil status and nationality, residence status in Belgium, mother tongue, spoken languages, possession of a driving licence, …]Data relating to participation in an activity [category including the following types of data: attendance, nature of the activity, …]Billing and payment data [category including the following types of data: transaction‑related data, amount, payment date, debtor, creditor, purpose of the transaction, …]Data relating to membership of a group [category including the following types of data: student, staff member, external participant, …]Data relating to the subscription period [category including the following types of data: start date, duration, …]These data are used to:Manage sports activity subscriptionsManage registrations for specific activitiesBasis of lawfulness for data processingThe activity is necessary for the performance of a contract with the data subject or for the implementation of pre‑contractual measures taken at the request of that person (Article 6(1)(b) GDPR).Categories of data subjectsThe categories of persons whose data are processed for the purposes of this activity are:External beneficiaries of university resourcesStaff membersEnrolled studentsNon‑enrolled students at UNamurData sourcesThe data included in this processing activity come from the following sources:Data generated by an activity of the personData retrieved from a University databaseRecipients of the dataThe data are processed solely by individuals and services of the University as required for the performance of the activity. The internal recipients principally belong to the following categories:Administrative staff of the UniversityIT support staffExternal recipients belong to the following categories:Public authoritiesAccounting and financial bodiesExternal service providers acting on behalf of and under the instructions of the UniversitySports activity supervisors (access card verification)Characteristics of the processingData relating to the sports subscription are retained until the expiry of the subscription.Data relating to the use of the NOVA SPORT digital platform are retained for up to 3 years after use of the platform.Data contained in the accounting system are retained for the legally required period.Rights of data subjectsData subjects have rights described on the page https://unamur.be/en/privacy-policyFor any other request, the first point of contact is: secretariat.vecu@unamur.be 

JuryProf. Timoteo CARLETTI (UNamur), ChairProf. Anne-Sophie LIBERT (UNamur), secretaryProf. Benoît FRENAY (UNamur)Prof. Ugo LOCATELLI (University of Rome Tor Vergata)Prof. Konstantin BATYGIN (California Institute of Technology)Prof. Adrien LELEU (University of Geneva)AbstractThe growing number of extrasolar systems detected over the past three decades has made it necessary to develop fast and reliable methods for studying the long-term stability of planetary systems. In this work, we address the complex problem of the stability of compact three-planet systems—in which resonant and chaotic behaviors are intrinsically linked—using chaos indicators and machine learning. In the first part, we design four (variational and non-variational) chaos indicators and test their performance on a synthetic dataset. In the second part, we examine the predictive power of the chaos indicators when combined with different machine learning strategies. Finally, we apply these methods to a synthetic population generated by the Bern formation model, providing results on the long-term behavior and dynamical characterization of the multiple-planet systems in this population. Our analysis highlights the effectiveness of the dynamical tools developed here for assessing the stability of near-resonant systems and paves the way for their use in future space missions.

At UNamur, a doctoral thesis led by Juliette Liégeois—with support from SPW Recherche as part of the Win4Doc program—aims to modernize the automated production of radiotracers used, in particular, to diagnose certain cancers and other diseases. Called SMART, the project is being developed in collaboration with Synlock, a company that designs synthesis robots for academic and industrial laboratories.

At UNamur, a doctoral thesis led by Jozie Tientcheu—with support from SPW Recherche as part of the Win4Doc program—is exploring a new approach to speed up the diagnosis of bacterial antibiotic resistance. Called STABLE2, the project is being developed in collaboration with Coris BioConcept, a Walloon company specializing in rapid diagnostic tests. 

Are you a high school student, college student, graduate, or an adult returning to school? Info études is here to guide you through the process and help you make the right choices.

Assimilation is a special status for students of non-EU nationalities. This status entitles the student to an exemption from the higher tuition fees and to be considered as a European Union student with regard to his or her tuition fees.

UNamur offers two certificates in the field of sustainable development. 

On the Bachelor of Arts in Germanic Languages and Humanities course, you'll discover rich and varied cultures, literatures and linguistic approaches, starting with two languages from among English, German and Dutch.

The PDID symposium is finally back in 2026!Following a successful first edition that notably brought together leading figures known for discovering and conceptualizing intrinsically disordered proteins—Drs. Vladimir N. Uversky, Peter Tompa, and Sonia Longhi—we are pleased to announce that the second edition of the One-Day Symposium on Protein Disorder, Interactions, and Dynamics (PDID 2026) will be held on Friday, December 18, 2026, at the University of Namur (UNamur) in Namur, Belgium.Organized every two years by the Belgian Biophysical Society (BBS) and the Laboratoire de Chimie Physique des Biomolécules (CPB), the PDID symposium is an intimate and welcoming event for exchanging new ideas and meeting leading experts in the field in the quintessentially Belgian city of Namur, the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.We welcome participants from any scientific background who are particularly interested in delving into the world of biomolecular dynamics and exploring their unique behaviors, including structural transitions, interaction networks, protein-ligand interactions, self-assembly, amyloid fibrillation, condensation, phase separation, and phase transitions. Through the lens of biophysics, biochemistry, bioinformatics, and molecular biology, the program aims to cover both experimental and computational approaches for characterizing such intricate and elusive systems in health-related, biotechnological, and biomaterial contexts.