[Ieee_vis_open_positions] PhD position at University Grenoble Alpes in Information Visualisation

[renaud.blanch at imag.fr]

Dear colleagues,

We are looking for a motivated PhD student to work with us on the Dynamic Visualization of Social Interaction Network in Preschool.
This work will be part of a chair funded by the Multidisciplinary Institute in Artificial intelligence (Univ. Grenoble Alpes), led by Aurélie Nardy (LIDILEM) : 
SoLaS : Socialization and Language at School: An Opportunity and a Challenge for AI in the Exploitation of Massive Data
<https://miai-cluster.univ-grenoble-alpes.fr/miai-institute/miai-cluster-finalizes-chair-selections-for-the-2024-2025-call-1585256.kjsp?RH=1744016045316>
It will take place in the Engineering Human-Computer Interaction research group <http://iihm.imag.fr/en/> of the LIG Computer Science Lab <https://www.liglab.fr/en> in Grenoble, France, under the supervision of Renaud Blanch <http://iihm.imag.fr/en/member/blanch/> and Aurélie Nardy <http://aurelie.nardy.free.fr/>.

The PhD will leverage data collected as part of the DylNet project (Language dynamics, linguistic learning, and sociability at preschool: benefits of wireless proximity sensors in collecting big data <https://dylnet.univ-grenoble-alpes.fr/>).

Over a period of two and a half years, one week per month, approximately 200 individuals (children, teachers, and school staff) in a socially mixed preschool were equipped with wireless sensors.
These sensors recorded both the proximity between individuals (with measurements taken every 5 seconds via RSSI signal exchange) and their speech.
In total, 655,958,381 RSSI signals were collected, corresponding to 1,705,126 social interactions.
The data is available in the form of matrices that provide, for each dyad and each individual over time, the number of contacts and the duration of interactions during classroom and free time.
This large-scale dataset also includes sociodemographic information on participants and their level of language development.

The objective of this PhD is to develop exploration tools adapted to this dataset and usable by researchers in the field of Social Sciences and Humanities.
Although visualization techniques for dynamic networks already exist, the challenge with the DyLNet data lies both in its sheer volume and in accounting for multiple temporal scales of differing orders of magnitude.
Furthermore, an understanding of the issues relevant to research in the Social Sciences and Humanities will be essential for designing effective visualization tools


If you are interested, please check out the full subject attached below.
If you know somebody else who might be interested in this position, please forward this message.

Deadline for applications: 15 June 2025
For additional information, feel free to contact Renaud Blanch <mailto:blanch at imag.fr>.

Best regards,
Renaud Blanch

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-- 
Renaud Blanch
http://iihm.imag.fr/blanch
mailto:renaud.blanch at imag.fr
tel:+33.4.57.42.14.56