Job offer

European Commission; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une institution académique en France recrute un chercheur postdoctoral pour optimiser les méthodes analytiques en rapport avec les arts de la scène et l'humanisme numérique. Le candidat retenu appliquera des méthodes de vision par ordinateur pour évaluer des données visuelles et multimodales liées aux performances historiques, tout en rejoignant une équipe interdisciplinaire innovante.

Prestations

54 jours de congés payés par an

Accès à l'infrastructure universitaire

Qualifications

• Expérience démontrée en approche basée sur les données de corpus visuels ou multimodaux.
• Capacité à mener des recherches académiques de haute qualité.
• Compétences en travail d'équipe dans un cadre interdisciplinaire.

Responsabilités

• Co-concevoir et appliquer des workflows d'analyse visuelle.
• Participer à la construction de corpus et aux tâches d'annotation visuelle.
• Rédiger des publications et présenter les résultats.

Connaissances

Analyse de données visuelles

Collaboration interdisciplinaire

Programmation en Python

Formation

PhD en Humanités Numériques, Études Médiatiques, ou domaines similaires

Outils

NumPy

pandas

OpenCV

scikit-learn

PyTorch

TensorFlow

git

Description du poste

Organisation/Company Université Rennes 2 Department Arts: Pratiques & Poétiques Research Field Arts » Performing arts Computer science » Other Cultural studies » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 8 Sep 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 36:30 Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101097091 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Université Rennes 2 is the host institution of the ERC Advanced Grant project STAGE – From Stage to Data: The Digital Turn of Contemporary Performing Arts Historiography. At the intersection of historiography, digital humanities and the performing arts, STAGE explores how computational methods can contribute to a new understanding of mise en scène and creative processes in Europe since WWII.

We are looking for a postdoctoral researcher with a strong background in computer vision to join an interdisciplinary research project at the intersection of visual data analysis, cultural heritage, and digital historiography. The successful candidate will apply and adapt computer vision methods to the analysis of visual and audiovisual traces of performance. This is a full-time position starting in October 2025 for one year, renewable up to three years.

The successful candidate will contribute to the development and implementation of novel methodologies for analysing visual and multimodal corpora (e.g. photographies and video recordings of performances). This position is designed for a DH researcher with proven technical skills , especially in Python , a strong interest in visual data and/or digital methods for cultural analysis, and ideally first publication experience.

The researcher will have the opportunity to participate in international conferences.

Key Responsibilities

• Co-design and apply visual analysis workflows to explore patterns of staging, scenography, and performer presence in historical performance archives (e.g. similarity search, feature extraction, pattern detection, pose detection, dimensionality reduction)
• Participate in corpus construction and visual annotation tasks
• Collaborate with CS researchers on the adaptation of computer vision models to cultural data
• Contribute to the conceptual articulation between visual features and performance studies or historiography
• Engage in writing publications and presenting results in DH and interdisciplinary venues.
• PhD in Digital Humanities, Media Studies, Cultural Heritage, or related disciplines
• Strong proficiency in Python (including libraries such as NumPy, pandas, OpenCV, scikit-learn, etc.)
• Experience with data-driven approaches to visual or multimodal corpora
• Experience using version control systems such as git
• Familiarity with digital annotation tools and/or IIIF environments is a plus
• Experience with machine learning frameworks (e.g. PyTorch, TensorFlow) is a plus
• Ability to conduct high quality academic research, reflected in demonstrable outputs
• Demonstrated ability to work collaboratively in an interdisciplinary team
• Languages: Excellent proficiency in English. French is a plus

Languages ENGLISH Level Excellent

Languages FRENCH Level Good

Years of Research Experience 1 - 4

Additional Information

Fixed-term contract (CDD): 1 year, renewable up to 3 years

Net monthly salary: €2,840.72 (INM 718)

54 days of paid leave per year

Access to university infrastructure

Selection process

Please submit your application (in English or French) by September 8, 2025, including:

• A detailed CV
• Copy of diploma/PhD certificate
• Links to GitHub/GitLab portfolios or relevant digital projects

Shortlisted candidates will be notified by September 15 2025 and interviews will be held end of September (remote option available).

Additional comments

The researcher will join the STAGE project team, an interdisciplinary group based at the University of Rennes 2, in close collaboration with partners in computer science, theatre institutions, and digital heritage infrastructures. The position is based in Rennes.