Funded #PhD position at University of Burgundy, France
on
*Information Diffusion in Online Social Networks*
Keywords: #Social_networks (online), #diffusion, #virality, #communities, #topology, #polarization, #fake-news,
#patterns, #Twitter.
"It amounts to 1758 euros gross monthly for the research activity alone. It can be higher with teaching activities."
Application Deadline June 04, 2019
Thesis Director: Hocine Cherifi
Co-supervisors: Eric Leclercq and Marinette Savonnet
The candidate should be able to complete high quality and innovative research. He/She will develop
research with the goal of both: (i) addressing fundamental theoretical problems, and (ii) designing models
and algorithms that can be used to understand diffusion processes in multilayer networks.
The ideal candidate has good knowledge in applied mathematics, linear algebra, statistics and computer
sciences (algorithm). He/she holds a Master’s degree (or equivalent) in the field of computer science,
applied mathematics Electrical Engineering, physics or a related discipline obtained with very good final
grade (with an average grade of B or better).
• She/he has experience (or interest) in modeling, quantitative empirical data analysis, and
preferably working with large-scale networks.
• Good command of programming languages and databases access and storage.
• Experience (or interest) in developing efficient techniques for large-scale data analysis.
• Very good command of English (oral and written) and excellent communication skills.
• Curiosity, self-reliance, integrity, and creativity.
🙏🏻Thanks to “Samin”
🆔@PositionClub
on
*Information Diffusion in Online Social Networks*
Keywords: #Social_networks (online), #diffusion, #virality, #communities, #topology, #polarization, #fake-news,
#patterns, #Twitter.
"It amounts to 1758 euros gross monthly for the research activity alone. It can be higher with teaching activities."
Application Deadline June 04, 2019
Thesis Director: Hocine Cherifi
Co-supervisors: Eric Leclercq and Marinette Savonnet
The candidate should be able to complete high quality and innovative research. He/She will develop
research with the goal of both: (i) addressing fundamental theoretical problems, and (ii) designing models
and algorithms that can be used to understand diffusion processes in multilayer networks.
The ideal candidate has good knowledge in applied mathematics, linear algebra, statistics and computer
sciences (algorithm). He/she holds a Master’s degree (or equivalent) in the field of computer science,
applied mathematics Electrical Engineering, physics or a related discipline obtained with very good final
grade (with an average grade of B or better).
• She/he has experience (or interest) in modeling, quantitative empirical data analysis, and
preferably working with large-scale networks.
• Good command of programming languages and databases access and storage.
• Experience (or interest) in developing efficient techniques for large-scale data analysis.
• Very good command of English (oral and written) and excellent communication skills.
• Curiosity, self-reliance, integrity, and creativity.
🙏🏻Thanks to “Samin”
🆔@PositionClub