We’re recruiting!

We are recruiting !

We are looking for a 18-month Postdoctoral Fellow and a highly motivated PhD students for the following funded PhD in distributed machine learning over the period 2018-2021. More detail is available below and in the attached documents.

PhD1: Robust and light-weight overlay management for decentralized learning

A growing number of companies are extracting value from the digital data produced by our modern society using Machine learning (ML) techniques. Most of these companies rely today on centralized or tightly coupled ML systems hosted in data centers or in the cloud. This is problematic as this concentration poses strong risks to the privacy of users, and limits the scope of ML applications to tightly integrated datasets under unified learning models.

To address these limitations, this PhD proposes to explore an alternative approach inspired by peer-to-peer networks in which users control their own system, and only exchange a limited amount of information to construct local machine learning models. This strategy is more amenable to preserving user privacy, and respecting the constraints possibly imposed on sensitive data-sets (such as health records, or personal financial data), and holds the potential for highly scalable and robust learning systems. This project aims to study the challenges raised by this strategy in terms of distribution and overlay management.

Application

Applicants should apply, in the first instance, by submitting on-line a CV (up to two A4 pages), a short statement outlining their research interests and motivation for a embarking on a Ph.D. (up to half an A4 page), a recent grade transcript (when applicable), and the names and addresses of at least two academic referees.

A rolling deadline applies.

More details available here. Apply on line (CV, grade transcripts, references).

PostDoc (18 months): Web-Of-Browsers: Towards a fully decentralized web

The WIDE team is recruiting a post-doctoral researcher for a duration of 18 months, with an immediate starting date.

The project Web of Browser aims at exploring the construction of a decentralized and browser-based web. This objective stems from the observation that browsers have become the most widely deployed execution environments in the world. Initially only designed to display HTML pages, they have evolved into comprehensive runtime platforms able to execute complex local code, interact with humans, and with remote web services. The recent introduction of WebRTC has further extended the capability of browsers by introducing support for browser-to-browser communication. This turns browsers into a decentralized execution environment where interactions between human and web services are enabled without third party.

The objective of this post-doctoral project is to explore the programmability of browsers as the building block of a decentralized web. We would in particular like to develop a framework for emergent localities on the basis of our existing work, i.e. allow practionners to easily construct advanced decentralized services by assembling simpler and composable distributed bricks. The postdoc offers scope for both algorithmic and experimental developmental work, notably in the domains of information discovery, routing, and coordination.

The project holds potential for strong synergies with related on-going projects running in the WIDE group, notably on private decentralized aggregation, privacy-preserving decentralized learning, and browser-fingerprinting anonymization.

Candidate profile and eligibility

The recruited post-doctoral researcher should hold a PhD in Computer Science, with ideally a focus on large distributed computer systems and web technologies. The candidate should be a driven and creative individual, with an interest in innovative and paradigm changing technologies.

Due to funding conditions, the offer is limited to candidates who have spent at least 12 months outside of France over the last 3 years.

Application

Applicants should apply, in the first instance, by submitting on-line a CV (up to two A4 pages), a short statement outlining their research interests and motivation (up to half an A4 page), and the names and addresses of at least two academic referees.

A rolling deadline applies.

More details available here. Apply on line (CV, research statement, references).

Internships

For Internships, contact Francois.Taiani@irisa.fr

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