2022-05366 - Post-Doctoral Research Visit F/M Private and Secure Computation
on Personal Data
Contract type : Fixed-term contract
Renewable contract : Oui
Level of qualifications required : PhD or equivalent
Fonction : Post-Doctoral Research Visit
About the research centre or Inria department
The Inria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres
and has more than thirty research teams. The Inria Center is a major and
recognized player in the field of digital sciences. It is at the heart of a
rich R&D and innovation ecosystem: highly innovative PMEs, large industrial
groups, competitiveness clusters, research and higher education players,
laboratories of excellence, technological research institute, etc.
The selected applicant will work within the WIDE research team at Inria of the
University of Rennes (https: // team.inria.fr/wide/). WIDE focuses on large-
scale distributed systems and applications, as well as on privacy, and
distributed machine learning.
This postdoctoral position is funded by the SOTERIA H2020 project
(https: // www. soteria-b020.eu/) which aims to develop a user-centric,
citizen-driven tool to help European citizens to manage their personal data.
The project therefore involves close collaboration with French international
partners such as AriadNext by IDNow, Idiap Switzerland, COSIC Team @ KU
Leuven, a complete list is available at
https: // www. soteria-b020.eu/partners/.
The successful applicant will have the opportunity to travel and collaborate
with such international partners. All travel expenses will be covered by Inria
within the limits set by French regulations.
The recruited postdoctoral researcher is expected to work on the design of a
distributed data vault that can (i) store personal data while keeping it
safe from third parties, (ii) support computation on encrypted or otherwise
protected personal data to obtain aggregate statistics while respecting the
privacy of the individual data items, (iii) provide means to remunerate
users that enable computation on their personal data.
In particular, we aim to address this challenge by relying on a byzantine-
fault tolerant 1,2 decentralized storage platform that can store data
reliably in encrypted form. We plan to combine techniques like multiparty
computation 3 and homomorphic encryption 4 with technologies like
trusted execution environments 5 to enable computation on such encrypted
data. This will allow us to address a variety of use cases, such as
decentralized 6 and federated machine learning algorithms 7. The
system should also keep track of the usage of personal data to support
remuneration schemes. To this end, we plan to leverage our recent theoretical
work on lightweight distributed ledgers 8, 9.
The postdoctoral researcher will contribute by performing original research on
these topics, and will also participate in the supervision of Masters and PhD
students. In doing so, he or she will collaborate with Davide Frey and other
members of the WIDE team, as well as with international partners within the
SOTERIA project and other related projects. Although teaching is not a
requirement, the candidate can also choose to teach relevant courses at the
University of Rennes 1 and affiliated institutions.
1 Leslie Lamport, Robert Shostak, and Marshall Pease. 1982. The Byzantine
Generals Problem. ACM Trans. Program. Lang. Syst. 4, 3 (July 1982), 382–401.
https: // doi.org/10.1145/357172.357176
2 Miguel Castro and Barbara Liskov. 1999. Practical Byzantine fault
tolerance. In Proceedings of the third symposium on Operating systems design
and implementation (OSDI '99). USENIX Association, USA, 173–186.
3 Ran Canetti, Uri Feige, Oded Goldreich, and Moni Naor. 1996. Adaptively
secure multi-party computation. In Proceedings of the twenty-eighth annual ACM
symposium on Theory of Computing (STOC '96). Association for Computing
Machinery, New York, NY, USA, 639–648. https: // doi.org/10.1145/237814.238015
4 Armknecht, F., Boyd, C., Carr, C., Gjøsteen, K., Jäschke, A., Reuter, C.
A. & Strand, M. (2015). A Guide to Fully Homomorphic Encryption.. IACR
Cryptology ePrint Archive , 2015, 1192.
5 PieterMaene, Johannes Götzfried, Ruan de Clercq, TiloMüller, Felix
Freiling, and Ingrid Verbauwhede. 2018. Hardware-Based Trusted Computing
Architectures for Isolation and Attestation. IEEE transactions on computers.
6 Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Fully Decentralized Joint Learning of Personalized Models and Collaboration
Graphs. AISTATS 2020
7 Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H.
Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth.
2017. Practical Secure Aggregation for Privacy-Preserving Machine Learning. In
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications
Security (CCS '17). Association for Computing Machinery, New York, NY, USA,
1175–1191. https: // doi.org/10.1145/3133956.3133982
8 Davide Frey, Lucie Guillou, Michel Raynal, François Taïani:
Consensus-Free Ledgers When Operations of Distinct Processes are Commutative.
PaCT 2021: 359-370
9 Timothé Albouy, Davide Frey, Michel Raynal and Francois Taiani.
Good-case Early-Stopping Latency of Synchronous Byzantine Reliable Broadcast:
The Deterministic Case. DISC 2022.
Carry out theoretical or practical research on privacy preserving
Implement solutions into research prototypes
Write papers or research reports
Present their work to team members, project partners and at International
Attend project meetings and project review meetings
Teach courses at the University of Rennes
Co-Supervise research students
Good collaborative and networking skills, excellent written and oral
communication in English
Good programming skills
Strong analytical skills
Interest and ability to learn new topics in distributed computing,
privacy, security, and machine learning.
Prior knowledge on at least some of the following areas:
Secure Multiparty Computation
Trusted Execution Environments (SGX, Trustzone, others)
Partial reimbursement of public transport costs
Possibility of teleworking ( 90 days per year) and flexible organization
of working hours
partial payment of insurance costs
Monthly gross salary amounting to 2746 euros
Theme/Domain : Security and Confidentiality
System & Networks (BAP E)
Town/city : Rennes
Inria Center : CRI Rennes - Bretagne Atlantique
Starting date : 2023-01-01
Duration of contract : 12 months
Deadline to apply : 2022-11-13
Inria Team : WIDE
Frey Davide / firstname.lastname@example.org
The keys to success
You should hold a PhD in computer science and have a strong background in at
least one of the following topics: multiparty computation, trusted execution
environment, machine learning, distributed systems and algorithms. You should
be interested in learning about the others, and in producing original research
that combines the above variety of topics.
You should submit an academic CV comprising a research statement that covers
at least partially the areas outlined in this offer.
Inria is the French national research institute dedicated to digital science
and technology. It employs 2,600 people. Its 200 agile project teams,
generally run jointly with academic partners, include more than 3,500
scientists and engineers working to meet the challenges of digital technology,
often at the interface with other disciplines. The Institute also employs
numerous talents in over forty different professions. 900 research support
staff contribute to the preparation and development of scientific and
entrepreneurial projects that have a worldwide impact.
Instruction to apply
Please submit online : your resume, cover letter and letters of recommendation
For more information, please contact email@example.com Or
Defence Security :
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.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people
Warning : you must enter your e-mail address in order to save your
application to Inria. Applications must be submitted online on the Inria
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