Internship, Ph.D., Postdocs, and Research Engineer positions

Feel free to contact me (paul.boniol@inria.fr) if you are interested in one of the positions below.

📢 Postdoctoral Position at Inria/ENS Paris

Topic: Multivariate and Streaming Time Series Management and Analysis
Location: École Normale Supérieure (ENS), Paris, France
Host Institution: Inria & ENS
Duration: 2 years
Project: Part of the i-Demo Cyberté collaboration with Scality

Project Description

We are seeking a highly motivated Postdoctoral Researcher to join a dynamic team working at the intersection of data management, streaming analytics, and machine learning for multivariate time series. The position is hosted at ENS Paris, within a collaboration between Inria and Scality under the i-Demo Cyberté project.

The overarching goal is to design and develop novel methods, models, and systems for efficient management, indexing, and real-time analysis of large-scale multivariate time series data, with applications in cybersecurity, infrastructure monitoring, and intelligent storage systems.

Candidate Profile

Ph.D. in Computer Science, Data Science, or a related field
Strong background in time series analysis, streaming systems, data management, or machine learning
Experience with large-scale data platforms is a plus

Start Date

Flexible — ideally Fall 2025.

📩 How to Apply

Interested candidates should send me a CV, a short motivation letter.

📢 Research Engineer Position at Inria/ENS Paris

Role: Research Engineer – Time Series Systems
Location: École Normale Supérieure (ENS), Paris, France
Host Institution: Inria & ENS
Duration: 2 years
Project: i-Demo Cyberté collaboration with Scality

Position Overview

We are hiring a Research Engineer to support the development and deployment of research prototypes and experimental platforms in the context of multivariate and streaming time series analysis. This position is part of the Cyberté i-Demo project, conducted in partnership with Scality, and hosted at ENS Paris in collaboration with Inria.

You will work closely with a Postdoctoral Researcher and the broader project team to implement novel algorithms, manage data pipelines, and contribute to the validation and benchmarking of research outcomes.

Responsibilities

Design and implement efficient pipelines for ingesting and processing multivariate time series data
Build and maintain prototypes and experimental tools for time series indexing, querying, and anomaly detection
Collaborate on the integration of research outputs into scalable systems
Support reproducible research: code quality, documentation, and experiment tracking
Interface with industry partner Scality to align development with practical needs

Desired Skills

Master’s degree (or equivalent experience) in Computer Science, Data Engineering, Data Science, or related field
Solid programming skills (Python, C++, or Java)
Familiarity with time series management and analytics systems
Experience in systems development, benchmarking, or data engineering is a strong plus

Start Date

Flexible — ideally Fall 2025.

📩 How to Apply

To apply, please send me your CV and a brief motivation letter.