Contract type: Public service fixed-term contract
Level of qualifications required: PhD or equivalent
Function: Post-Doctoral Research Visit
Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 35 research teams and 9 research support departments.
Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas.
Present in the fields of software, high-performance computing, Internet of things, image and data, but also simulation in oceanography and biology, it participates at the best level of international scientific achievements and collaborations in both Europe and the rest of the world.
Within the framework of a partnership (you can choose between)
The postdoc project will be conducted in collaboration with the members of the Inria Privatics group and the other partners of the SPAI Inria Project Lab. It will be adapted in agreement with the successful candidate, based on his expertise and motivation.
Transparency is important on the Internet but even more in the context of IoT (Internet of Things), which, by definition, measures and collects a large amount of personal data in a continuous manner. Transparency is a necessary condition to allow users to make informed choices about the disclosure of their personal data. However, transparency is not sufficient in itself. The EU General Data Protection Regulation (GDPR) emphasises the fact that data subjects should be made aware of the risks related to personal data processing.
The approach followed in the SPAI Inria Project Lab consists in expressing information and consent through privacy policies (for data controllers and data subjects respectively). When they are endowed with a formal semantics, these policies can be analysed to provide information about the privacy risks taken by the user.
The candidate should have a PhD in computer science or a related field. Knowledge and motivation for one of the following fields would be appreciated: privacy, formal semantics, human-computer interaction.
Knowledge of French is not required.
Monthly income before taxes: 2 653€
Inria, the French national research institute for the digital sciences, promotes scientific excellence and technology transfer to maximise its impact. It employs 2,400 people. Its 200 agile project teams, generally with academic partners, involve more than 3,000 scientists in meeting the challenges of computer science and mathematics, often at the interface of other disciplines. Inria works with many companies and has assisted in the creation of over 160 startups. It strives to meet the challenges of the digital transformation of science, society and the economy.
Starting date: 1st September 2019, duration: 16 months.
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST). Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Warning: you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.Apprenez-en davantage
|Intitulé||2019-01456 - Post-Doctoral Research Visit F/M Risk Analysis of Privacy Policies|
|Job location||Inria Grenoble Rhône-Alpes, 655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin|
|Publié||mai 17, 2019|
|Date limite d'inscription||août 31, 2019|
|Types d'emploi||Post doc  |
|Domaines de recherche :||Intelligence artificielle,   Cyber Security,   Extraction de données,   Structures de données,   Interactions homme-machine,   Systèmes d'information (informatique de gestion)  |