PhD in Big Data Analytics, Stream Processing or High-Performance Computing

Job description

Looking for an exciting opportunity for a PhD thesis in the area of Big Data Analytics, Stream Processing or High-Performance Computing? Check these open PhD positions available at Inria (Rennes) / Irisa in the KerData team:

  • Open PhD position on Machine-Learning based Elastic In Transit Data Analysis for HPC Applications
  • Open PhD position on HPC/Big Data Convergence
  • Open PhD position on Cloud and Edge Stream Processing

 

Benefits and opportunities

As a PhD student in the KerData team, you will join a dynamic and enthusiastic group, committed to top-level research in the areas of High-Perfomance Computing and Big Data Analytics.

The KerData team is leading projects in top-level national and international collaborative environments, e.g., the JLESC international Laboratory on Extreme-Scale Computing. It has active collaborations with top-level academic institutions all around the world (including the USA, Mexico, Spain, Germany, Japan, Romania, etc.). The team also has close connections with the industry (e.g., Microsoft, Huawei, Total).

The KerData team's publication policy targets the best-level international journals and conferences of its scientific area. The team also strongly favors experimental research, validated by implementation and experimentation of software prototypes with real-world applications on real-world platforms, e.g., clouds such as Microsoft Azure and some of the most powerful supercomputers in the world.

  • 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 (after 6 months of employment) 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

 

 

Requirements

A MS-level Degree in Computer Science or equivalent is required

Instructions on how to apply are available on the offer page: https://team.inria.fr/kerdata/phd-theses/

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