Research Associate Job at Imperial College London (Data Analytics/Privacy for personal/home data)

https://www.imperial.ac.uk/jobs/description/ENG00357/databox-research-associate

Applications are invited for a Senior Postdoctoral Research Associate position on Data mining, Analytics, Privacy Protocols and Machine Learning aspects of Personal and IoT data for the the EPSRC Databox Project (http://www.databoxproject.uk ) and the EPSRC Defense Against Dark Artefacts project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R03351X/1 ), ideally with a focus on edge computing, Internet of Things, data mining, data visualization, or designing and implementation of and security and privacy protocols and machine learning algorithms.

 

Job listing information

  • Reference ENG00357
  • Closing date 1 July 2018

Salary £36,800 – £44,220 plus benefits

This is full time fixed term position for 14 months, with high possibility of further extensions.

Duties and responsibilities

  • Design and building efficient and scalable privacy protocols and machine learning algorithms in conjunction with the Databox system
  • Designing intuitive data discovery and visualisation apps for IoT/Personal data
  • Engage with the other team members in design and conduct of experiments assessing the interaction of users with exemplar apps and data
  • Work on a team including the PI, CoIs, and other PDRAs to design the Databox prototype

Further information and job details available via https://www.imperial.ac.uk/jobs/description/ENG00357/databox-research-associate

 

Databox Version: 0.4.0

Databox Version 0.4.0 is now available for download: https://github.com/me-box/databox

Changes since last version:

Changes to me-box/databox:

  • Add funding/grant information see me-box/databox/pull/250
  • Always update node modules see me-box/databox/pull/247
  • enable broadcast traffic relay see me-box/databox/pull/243
  • Adds the needed authorization headers to the tests see me-box/databox/pull/241
  • Authentication see me-box/databox/pull/239
  • Update year in license see me-box/databox/pull/238

Changes to core repositories:

Changes to me-box/core-container-manager:

  • Fix app driver startup order see me-box/core-container-manager/pull/26
  • Fixes proxy DNS lookup errors see me-box/core-container-manager/pull/25
  • UI Updates see me-box/core-container-manager/pull/24
  • Adds a timeout and makes sure next() is called see me-box/core-container-manager/pull/23
  • Fix broken link #21 see me-box/core-container-manager/pull/22
  • Authentication see me-box/core-container-manager/pull/20

Changes to me-box/core-arbiter:

  • No changes in this version

Changes to me-box/core-export-service:

  • No changes in this version

Changes to me-box/core-network:

  • Enable driver to see broadcast packets see me-box/core-network/pull/5
  • ignore reverse lookup request see me-box/core-network/pull/4

Changes to me-box/core-store:

  • Update to zest 0.0.6 see me-box/core-store/pull/5
  • Update to v0.0.4 see me-box/core-store/pull/4
  • Move to jptmoore/zest:v0.0.4 see me-box/core-store/pull/3
  • Core-store v2 see me-box/core-store/pull/2

Changes to me-box/lib-node-databox:

  • Fix parsing of observe response with spaces in the payload see me-box/lib-node-databox/pull/36
  • Core store v2 see me-box/lib-node-databox/pull/35
  • Update to core-store v2 api see me-box/lib-node-databox/pull/34

Changes to me-box/lib-go-databox:

  • Fixes parseRawObserveResponse for payloads with spaces see me-box/lib-go-databox/pull/9
  • Update to new care-store API see me-box/lib-go-databox/pull/8

Market engagement in the Databox project

A new Report, commissioned by the Horizon Digital Research Institute, looks at the industry and consumer market engagement opportunities of the Databox project. The report looks at market engagement with the Databox concept, as it emerges from a limited number of conversations with project stakeholders, business consultants and industry experts. It seeks to explore its value proposition for individuals, ‘data-rich’ companies and ‘data-poor’ companies.

See the full report on http://www.horizon.ac.uk/wp-content/uploads/2017/01/Market-engagement-in-the-Databox-project.pdf

 

 

Creating the living room of the future…

In 2018 we will showcase a live engagement event and demonstrator of the ‘Future of the Living Room’ with the BBC R&D at FACT in Liverpool as part of the States of play exhibition and at the Western Balkans Culture Summit.

The living room will be open to the public at States of Play in May 2018 at FACT, Liverpooland at The Western Balkans Culture Summit in August 2018.

See the details on: http://www.bbc.co.uk/rd/blog/2017-10-on-the-living-room-of-the-future

Databox Version: 0.2.0 released!

Databox Version 0.2 has been released in time for our MozFest 2017 Hackathon next week. See the release notes on:

https://github.com/me-box/databox/releases/tag/0.2.0

 

Changes since last version:

Changes to me-box/databox:

Changes to core repositories:

Changes to me-box/core-container-manager:

Changes to me-box/core-arbiter:

Changes to me-box/core-export-service:

Changes to me-box/store-json:

Changes to me-box/store-timeseries:

  • No changes in this version

Changes to me-box/lib-node-databox:

Changes to me-box/lib-go-databox:

  • No changes in this version

Downloads

Databox Annual Symposium: Fri, November 17, 2017

Please register via:  https://www.eventbrite.com/e/databox-annual-symposium-tickets-37562808371

The Databox project will be have its first birthday this November. A lot has happened since last year, especially on the platform and analytics side. Please join us for the Year 1 roundup of the research, prototype, and demos of the Databox project. the event will be in the IET London and will include fun and interactive demos with personal data and IoT devices, in addition to research highlights, panel discussions, and debates around the next steps for the project over the next 2 years.

Confirmed Invited Speakers:

Joel Obstfeld (Distinguished Engineer , Cisco)

Eleanor Birrell (PhD candidate, Cornell University)

Andrius Aucinas (Head of Engineering at the Hub of All Thingsproject)

Laura James (Technology Principal at Doteveryone)

Guy Cohen (Strategic Relationships Manager, Privitar)

 

More information is on the Eventbrite page.

https://www.eventbrite.com/e/databox-annual-symposium-tickets-37562808371

In the mean time, please keep in touch with us via the forum https://forum.databoxproject.uk/

Databox HackDay at MozFest 2017 (Thu. 26 Oct)

As part of Mozilla Festival 2017, we are inviting you to join us in Databox Hackathon event as a joint summit hosted under the Mozilla Festival pre-week events and a BBC R&D community event.

Please register here:

We will present the public release of a working open source Databox platform, which can be run on any device capable of running Docker containers. We endeavour to provide support for ARM devices such as the Raspberry Pi 3 for this release. This initial release has basic data collection support through mobile sensing libraries and selected APIs, provides basic data flow policing and privacy policy enforcement, and supports installation and operation of simple personal data processing apps. At this event we will briefly introduce and demo the Databox to you, then we hope to engage with security & privacy enthusiasts, data visualisation & analytics fans, and potential app developers to begin building a community and ecosystem around the Databox. We’re open to contributions of all kinds, from improvements to core components, to helping you integrate your favourite IoT devices, to brainstorming what apps and devices you want to see the Databox support!

The full schedule is available on the Eventbrite page.

Databox at BT Innovation 2017

Last week, our team showcased our Databox platform at BT Innovation week at Adastral Park, Ipswich, UK. There were nearly 5000 visitors over 5 days at the show.

Over the week, our team talked to a mix of businesses – a couple of banks, healthcare providers, a housing association, IoT developers, BBC, Sky, EPSRC and BT researchers. We presented three use-cases: fraud detection, personalised adverts and health insurance. Many attendees were able to see use-cases for their sectors – typical questions were “how much will it cost?”, “when will it be ready/commercialised?”, “how centralised local datastore model is more secure than distributed”, “what would be the physical form factor of the product if deployed?”, “Does it require dedicated hardware?”, “Can it run in BT’s home hub”, “how data usage would be analysed”.

In addition to this, many industry attendees mentioned concerns around GDPR (EU – General Data Protection Regulation) and could see how Databox can help industries/businesses to address the personal data storage related issues. Most of the discussions were about the overall concept and were around “how would I do this/that” and discussion on new potential applications. Overall, the project got positive feedback and follow-up invitations from the audience.

 

 

Databox 0.1.2 with Docker Swarm Mode and better ARM support

Databox 0.1.2 has been released. Lots of bugs have been squished, ARM7 and 64 support for Raspberry PI and other ARM devices has been improved and the developer experience has been enhanced using local docker images.  This is the best Databox release yet!

Get the software at:

https://github.com/me-box/databox

Release notes:

  1. Moving to Docker swarm mode
  2. No need to install nodejs locally anymore
  3. Don’t pass sensitive data in ENV vars
  4. Better ARM support

Also:

  • Removed need for local registry for development
  • Moved the container manager into it own repo me-box/databox-cm
  • All platform image are now built locally