INRIA proposes young scientists a PhD in one of its research teams. Priority will be given to candidates with mobility background and to topics pertaining to the Institute's priority themes.

Opening campaign: 3 March, 2008.

• View positions available and apply on-line.
http://www.talentsp lace.com/ syndication1/ inria/ukdoc
the list is frequently updated.

• Offers are posted on-line as and when they become available. Please consult the list regularly. End of the campaign : 15 May, 2008.

You have a degree in computer science, automatic control or scientific computing equivalent to the French research master, you are planning to become a researcher in an academic environment, or, after training through research, to join a company or create one ?

Join INRIA for a PhD.

INRIA is at the leading edge of research and its scientific themes are innovative. You can meet there scientists of international stature or work with them. Novel ideas are considered with interest. INRIA maintains special relations with industry and fosters the emergence of startups founded by its research scientists (80 such
companies founded in 20 years). At least 80 different nationalities are present at INRIA and activities are regularly organized in order to ease the integration of newcomers. The ambiance is relaxed and everyone can contribute to the social life of the community.

Survey into the professional integration of doctoral students - class of 2005

This inquiry, focussing on the 277 INRIA doctoral students who completed their thesis in 2005, reveals a particularly positive outlook. On average, 18 months after completion of their thesis, 97% of the doctoral graduates now hold posts that are consistent with their career path: 35% are researchers or research lecturers, 28% are
engineers and 23% hold post-doc placements. Discover the full-length version of the survey.

PhD subjects by specialist field:

Communicating system

• Distributed systems and software architecture
• Networks and telecoms
• Embedded systems and mobility
• Architecture and compiling

Cognitive systems

• Statistical modeling and machine learning
• Perception, indexing and communication for images and video
• Multimedia data: interpretation and man-machine interaction
• Image synthesis and virtual reality

Symbolic systems

• Reliability and safety of software
• Algebraic and geometric structures, algorithms
• Management and processing of language and data

Numerical systems

• Control and complex systems
• Grids and high-performance computing
• Optimisation and inverse problems for stochastic or large-scale systems
• Modeling, simulation and numerical analysis Available subjects Biological systems
• Modeling and simulation in biology and medicine