Consulter les offres d’emploi

Two-year Postdoc position in Mathematics (funded by Amidex)

Publiée le 30/06/2025 15:34.

Postdoc, Marseille.

Entreprise/Organisme :	Aix-Marseille University, Marseille Institute of Mathematics
Niveau d'études :	Doctorat
Date de début :	October 2025
Durée du contrat :	24 months
Rémunération :	according to the French scale
Secteur d'activité :	Statistics
Description :	Applications are invited for a two-year full time post-doc position starting in October 2025 in the A*MIDEX Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should not be currently employed by the University of Aix-Marseille and should have obtained their last degree outside AMU. Interviews with candidates will be conducted in English. The selection process will proceed on a continuous basis, with applications reviewed and interviews conducted until the position is filled. TFurther details about the position are available in the document accessible via the following link: https://drive.google.com/drive/folders/1fed7lczc1Kegb0IwxBjlZLE2A96wLXhz?usp=sharing.
En savoir plus :	https://drive.google.com/drive/folders/1fed7lczc1Kegb0IwxBjlZLE2A96wLXhz?usp=sharing PostDoc.pdf
Contact :	aedudek@agh.edu.pl

Project Manager - Permanent position

Publiée le 30/06/2025 15:34.

CDI, Bordeaux.

Entreprise/Organisme :	HORIANA
Niveau d'études :	Doctorat
Description :	Horiana is a consulting company dedicated to epidemiology and biostatistics, designing and conducting healthcare real-world Studies. Horiana aims to support its clients  private and public/academic professionals in the healthcare field  at all stages of their projects. We are currently expanding our team with a full-time permanent position for a Project Manager (M/F). The position is based in Bordeaux (33) or remotely, depending on the profile of the candidate. Job overview You will be responsible for managing and overseeing evidence synthesis and systematic literature review projects, including the planning, execution, and completion of high-quality, evidence-based reviews. Your role will involve strategic planning, resource management, and effective communication to ensure the successful delivery of comprehensive and impactful review findings. Profile - Education in Healthcare administration or related field (MSc or ideally a Doctorate degree (PhD, PharmD. MD is a plus) - At least 3y of experience in PM in the healthcare sector, ideally within the CRO/pharma industry - Strong knowledge of project management principles, methods, and techniques - Knowledge of systematic literature review processes, including familiarity with protocols, Cochrane standards, guidelines, and report preparation, is considered a plus - Excellent communication, and organizational skills - Fluency in English - Ability to identify priorities and to anticipate potential issues - Strong team spirit Missions - Participate in project proposals writing, and in presenting the operational part to the clients - Prepare and facilitate kick-off and scientific board meetings - Ensure the timely delivery of all project-related outputs, including protocol development, studies selection, data extraction, and final report preparation, while adhering to quality standards and project timelines. - Build and maintain a strong relationship and a good communication with the customers - Manage risks and issues, and devise risk mitigations plans as necessary - Ensure that deliverables comply with contract and quality standards - Conduct post-project evaluations to assess project performance and identify areas for improvement Contact: info@horiana.com
En savoir plus :	https://horiana.com/ 202506 Project Manager.pdf
Contact :	info@horiana.com

Chaire Professeur Junior, Machine Learning for Natural Language Processing

Publiée le 11/06/2025 17:44.

CDI, Lyon.

Entreprise/Organisme :	Université Lyon 2
Niveau d'études :	Doctorat
Date de début :	01/12/2025
Rémunération :	3500€ bruts
Description :	Lyon 2 University recruits a Junior teacher in Natural Language Processing and Machine Learning, application to tool-based linguistics (TALMaL)
En savoir plus :	https://eric.msh-lse.fr/wp-content/uploads/2025/06/TALMaL-avis-de-recrutement.pdf TALMaL - avis de recrutement.pdf
Contact :	julien.jacques@univ-lyon2.fr

Noyaux reproduisants caractéristiques pour des données fonctionnelles

Publiée le 09/05/2025 09:51.

Postdoc, Rennes.

Entreprise/Organisme :	Université Rennes 2
Niveau d'études :	Doctorat
Durée du contrat :	15 mois
Description :	Ce postdoc, proposé dans le cadre du projet ANR FUNMathStat, porte sur la construction de noyaux reproduisants caractéristiques adaptés aux données fonctionnelles. Ces noyaux, essentiels pour des tâches statistiques telles que les tests à deux échantillons ou d’indépendance, sont bien étudiés en dimension finie, mais leur extension au cadre fonctionnel soulève des défis théoriques importants. L’objectif du postdoc est d’étendre les noyaux existants à ces espaces fonctionnels et de concevoir de nouvelles familles de noyaux, en prenant en compte notamment l’impact de la représentation discrète des données fonctionnelles.
En savoir plus :	https://sites.google.com/view/funmathstatanrproj/accueil?authuser=0 Sujet_Postdoc.pdf
Contact :	anouar.meynaoui@univ-rennes2.fr

Postdoctoral position: Quasi-Gaussian Likelihood Estimation of General Fractional Time Series

Publiée le 09/04/2025 18:01.

Référence : EM2025.

Postdoc, Institut du Risque et de l'Assurance, Laboratoire Manceau de Mathématiques, Le Mans, France.

Entreprise/Organisme :	Le Mans Université
Niveau d'études :	Doctorat
Date de début :	Juin 2025
Durée du contrat :	18 mois
Rémunération :	2897,09€ brut
Secteur d'activité :	Statistique des processus
Description :	Ce postdoc s’inscrit dans le cadre d’un projet de recherche innovant visant à développer des méthodes avancées d’estimation et de prévision pour des modèles de séries temporelles fractionnaires, non stationnaires et non gaussiens. Ces modèles sont particulièrement importants pour l’analyse de données complexes, telles que celles observées en économie, en finance et en climatologie, où des dépendances à long terme et des comportements non linéaires sont fréquemment rencontrés. L’objectif principal du projet est de développer et d’améliorer des techniques d’estimation du type quasi-maximum de vraisemblance pour ces modèles complexes, tout en relevant les défis liés à la prévision dans des contextes non stationnaires et non gaussiens.
En savoir plus :	https://lmm.univ-lemans.fr/fr/index.html Postdoc.pdf
Contact :	youssef.esstafa@univ-lemans.fr

Post-Doc in Machine Learning (Multiple Fairness in Recommending Systems)

Publiée le 05/02/2025 10:39.

Référence : Postdoc in Télécom Paris.

CDD, Télécom Paris, 19 Place Marguerite Perey, 91120 Palaiseau.

Entreprise/Organisme :	Télécom Paris
Niveau d'études :	Doctorat
Date de début :	Printemps 2025
Durée du contrat :	18 ou 36 mois
Secteur d'activité :	Intelligence Artificielle
Description :	Post-Doc in Machine Learning (Multiple Fairness in Recommending Systems) The group dedicated to Research in Machine Learning, Statistics & Signal Processing (the research group S2A) in Télécom Paris is recruiting a postdoc in Machine Learning (18 months contact, extendable to 36 months). The post-doc recruited will take part in an interdisciplinary collaborative research project involving the SES (Economics and Social Sciences) department of Télécom Paris and the Caisse des Dépôts et Consignations, a leading French public financial institution. Research assignment Research activities will focus on fairness issues for recommendation engines designed by means of machine-learning methods. With the explosion of digitized content available online, recommender systems have become an essential technology and a key element in the development of new services. In a commercial context, the algorithmic principles at work (e.g. collaborative filtering, user/content-based methods, hybrid approaches) in their operation are most often aimed exclusively at maximizing user satisfaction and increasing the platform's level of use. In the context of a public service, many other criteria and objectives must be integrated to ensure a fair service from the point of view of both users and suppliers (multi-sided fairness). It is precisely the subject of this collaborative project to propose and analyze (theoretically and empirically) methods for achieving acceptable trade-offs between the relevance of recommendations and bias mitigation. In addition to producing methodological research, the post-doc's mission will also include applied work on the current version of a deployed recommendation system, aimed at quantifying the presence of different types of bias resulting from its operation. Keywords: public service recommender system, fair and explainable AI, bias mitigation, multi-sided fairness Supervision: the recruit will work under the supervision of Sephan Clémençon (https://perso.telecom-paristech.fr/clemenco/) Winston Maxwell (https://www.telecom-paris.fr/winston-maxwell). Charlotte Laclau (https://laclauc.github.io/) Skills Education : PhD in Computer Science or in Applied Maths A short international postdoctoral experience is welcome but not mandatory English: fluent Expertise in Python programming, familiarity with database queries Capacity to work in a team and develop good relationships with colleagues in other disciplines Excellent writing and pedagogical skills Knowledge and experience required Research publications in Machine Learning (e.g. in Neurips, ICML, AISTATS, …) Knowledge of how recommending systems work Taste for AI applications and interest in its societal aspects Additional information The position does not involve teaching. However, on a voluntary basis, the postdoc recruited may take part in machine-learning courses (undergraduate/master level) coordinated by the supervisory team. The position 18 months position (extendable to 36 months) Télécom Paris, 9 place Marguerite Perey - 91120 Palaiseau - France Application Applicants should submit a single PDF file that includes: motivation letter curriculum vitae one or two major publications contact information for one or two references Important dates First-Quarter 2025: interviews with candidates (by visio-conference eventually) Spring 2025: beginning Contact for information/application Stephan Clémençon stephan.clemencon@telecom-paris.fr Charlotte Laclau charlotte.laclau@telecom-paris.fr Winston Maxwell winston.maxwell@telecom-paris.fr Related Websites https://s2a.telecom-paris.fr/ www.telecom-paris.fr/ai-ethics
En savoir plus :	https://s2a.telecom-paris.fr/ Post-Doc in Machine Learning (Multiple Fairness in Recommending Systems).pdf
Contact :	stephan.clemencon@telecom-paris.fr