Post-Doctoral Research Visit F/M Multivariate and Streaming Time Series Management and Analysis

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Type de contrat : Fixed-term contract

Niveau de diplôme exigé : PhD or equivalent

Fonction : Post-Doctoral Research Visit

Contexte et atouts du poste

Main information:

  • 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.

Mission confiée

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.

 

Principales activités

 

  • Designing New Models and Algorithms: Develop novel representations, indexing structures, and algorithms for managing and analyzing multivariate and streaming time series data.

  • Prototyping and Experimental Validation: Implement research ideas into functional prototypes and evaluate their performance on real-world and synthetic datasets.

  • Collaborative Research and Publications: Collaborate with academic and industry partners (including Scality) to publish results in top-tier conferences and journals.

  • System Integration and Benchmarking: Work on integrating developed components into scalable systems and running comparative benchmarks against existing solutions.

  • Mentoring and Team Involvement: Contribute to guiding interns and research engineers, participate in team meetings, and engage in project-related scientific discussions.

 

Compétences

  • 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

Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage