- JOB
- France
STATUS: EXPIRED
23 Jan 2024
Job Information
- Organisation/Company
- Université Rennes II
- Department
- Arts: practices and poetics
- Research Field
- Computer science » Database managementComputer science » ProgrammingArts » Performing artsComputer science » Modelling tools
- Researcher Profile
- First Stage Researcher (R1)
- Country
- France
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 36:30
- Offer Starting Date
- 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
University Rennes 2 is the host institution of the ERC project "STAGE: From Stage to Data, the Digital Turn of Contemporary Performing Arts Historiography", which was awarded an ERC advanced grant. STAGE proposes an innovative theoretical and methodological framework merging culture analytics, actor-network theory, data modeling, and computer vision to challenge conventional approaches to the paradigm shift of digital traces in performing arts studies. At the intersection of history, epistemology, and digital humanities, STAGE’s key goal is to move performing arts studies into a digital context to establish a new historiography of mise en scène and creative processes in Europe since WWII. The team is composed of up to 10 people (researchers, data scientist, data engineer, junior developer, PhD students).
The Data Scientist will play a pivotal role within the ERC STAGE project, reporting directly to Ms. Clarisse Bardiot, the project manager and professor in performing art studies and digital humanities. This role involves shaping datafication processes sourced from historical documents and contemporary performances traces. Responsibilities include software development, machine learning, as well the identification and implementation of data mining tools that will be tailored to the specific requirements of the project to establish processing pipelines.
If you are passionate about driving innovation and reshaping historiography in the digital age, we invite you to apply to join an open team with a modern working culture.
Key Responsabilities
- Spearhead the establishment of digital infrastructure for datafication processes from historical and performing arts company sources (mainly playbills, texts, photographs and videos).
- Development of prototypical software solutions in the field of performing arts and digital humanities in close collaboration with domain experts involved in the project (senior researchers, PostDocs, PhD students).
- Supervision of a junior developer (2 years contract from year 2).
- Participation in the publication of STAGE results and methods.
Where to apply
Requirements
- Research Field
- Computer science » Database management
- Education Level
- Master Degree or equivalent
- Research Field
- Computer science » Modelling tools
- Education Level
- Master Degree or equivalent
- Research Field
- Computer science » Programming
- Education Level
- Master Degree or equivalent
Skills/Qualifications
Requirements
We are seeking a committed individual with a self-driven and problem-solving approach to work, excellent analytical abilities, and a strong inclination towards teamwork. Effective communication skills are also highly valued in this role.
- Advanced degree and potentially a doctorate in Data Science, Computer Science, Computational Linguistics or a related field.
- Proficiency in software development and machine learning techniques.
- Solid knowledge of Python (NumPy, PyTorch, TensorFlow).
- Experience in data analysis and visualization.
- Strong problem-solving skills and ability to work independently.
- Excellent communication skills and a collaborative mindset.
- Open to engaging in interdisciplinary collaboration and working in diverse environments, such as bridging computer science with the humanities and social sciences.
- Languages: Excellent proficiency in both English and French.
- Familiarity with current methods and technologies in at least one of the following domains: Natural Language Processing (NLP), semantic web, computer vision, machine learning, NoSQL.
The following skills and knowledge areas are highly valued, although not strictly required, for the position:
- Proficiency in modern research software engineering (RSE), which encompasses modularity, reproducibility, and reusability.
- Experience in collaborative software development.
- Experience in writing data papers.
- Languages
- ENGLISH
- Level
- Excellent
- Languages
- FRENCH
- Level
- Good
- Research Field
- Computer science
Additional Information
Benefits
Fixed-term contract (CDD) for 1 year, renewable for a further 2 years.
Remuneration according to the Research Engineer grid and experience (Net salary 2 800 euros / month).
Advantages of working in the public sector, such as 54 days of vacation / year (full time).
Possibility of part time.
Possibility of remote work (individually tailored solutions are possible but not fully remote work)
Selection process
Selection process
Please send your application in French or in English (detailed CV, cover letter, copy of documents certifying the required level of study, names and email addresses of two referees) by February 26, 2024 at the latest, in PDF format.
Successful candidates will be informed by email and invited to take part in interviews in Rennes (or remotely) in late February 2024.
Additional comments
For further information, please contact Clarisse Bardiot (clarisse.bardiot@univ-rennes2.fr)
Website application: https://recrutement.univ-rennes2.fr/poste/c4gttzfwu2-data-scientist-drv/
Work Location(s): Rennes, France Website: http://www.univ-rennes2.fr/ E-Mail: clarisse.bardiot@univ-rennes2.fr,drv-pole-europe@univ-rennes2.fr
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Université Rennes II
- Country
- France
- City
- Rennes
- Postal Code
- 35043
- Street
- Place du recteur Henri Le Moal, CS 24307 - 35043 Rennes cedex
Contact
- City
- Rennes
- Website
- Street
- Place du Recteur Henri Le Moal
- clarisse.bardiot@univ-rennes2.frdrv-pole-europe@univ-rennes2.fr