As Data Scientist / MLOps engineer, you will play a leading role in an international research project, pro-actively contributing to the design and development of datafication processes sourced from multimodal documents. You will be expected to conduct high-quality research, coming up with creative solutions, leading initiatives end-to-end, interacting with peers and researchers worldwide. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. 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.
University Rennes 2 is the host institution of the research project "STAGE: From Stage to Data, the Digital Turn of Contemporary Performing Arts Historiography", which was awarded an ERC advanced grant (2,5 million €). 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 scientists, data engineer, junior developer, PhD students).
As Data Scientist / MLOps engineer, you will play a leading role in an international research project, pro-actively contributing to the design and development of datafication processes sourced from multimodal documents. You will be expected to conduct high-quality research, coming up with creative solutions, leading initiatives end-to-end, interacting with peers and researchers worldwide. You will also help promote machine learning best practices and encourage new approaches to problem-solving within the team. 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.
STAGE's website : https://stage-to-data.huma-num.fr/
Fixed-term contract (CDD): 1 year, renewable for a further 3 years
Remuneration: according to the Research Engineer grid and experience (INM 718, Net salary 2 840,72 euros / month)
Advantages of working in the public sector, such as 54 days of vacation / year.
Possibility of remote work (individually tailored solutions are possible but not fully remote work)
Selection process :
Application : https://euraxess.ec.europa.eu/jobs/224350
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 May 13, 2024 at the latest, in PDF format. Gitlab/Github profiles and portfolios are most welcome !
Successful candidates will be informed by email by May 17, 2024 at the latest, and invited to take part in interviews in Rennes (or remotely) in late May 2024.
For more information, please contact Clarisse Bardiot clarisse.bardiot@univ-rennes2.fr