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Research Assistant/Research Associate/SRA in Federated Learning (Open-source Flower Framework) (Fixed Term)

Closing date: 
Sunday, 19 December 2021

Department of Computer Science and Technology, West Cambridge

We seek an independent detail-oriented individual with strong hands-on systems skills, and familiarity with machine learning, to participate in projects within an active research team of PhD students and other RAs (see team description below). The primary focus of this role will be on the topic of federated learning.

The core responsibility of this role will be to contribute our current on-going research projects related to federated learning, as well as bootstrapping new investigations within this area. We approach this work as a collaborative team exercise and so a team-centric style to research is expected from this role. Our lab is also actively developing and growing an exciting open-source framework for federated learning (called Flower - http://flower.dev), as part of a wider community effort. Successful applicants will be expected to become active members of this initiative and engage in translating research outcomes into this framework, as well as extending the capabilities of Flower in novel directions that better facilitate the exploration of federate methods.

In keeping with the role of an RA, this position will have other satellite responsibilities. Hands-on assistance on one other smaller project within the lab will be expected, but this will be limited to around 1 day per week on average. Additionally, this individual will be expected to perform certain lab responsibilities such as providing forms of mentorship to PhD students (depending on prior experience), organizing select lab activities, maintaining select lab software and equipment, and assisting in preparing materials (like grant applications and presentations). Such activities will be appropriately scoped so that research remains the focus, but being part of the activities that keep the lab running is expected.

https://www.jobs.cam.ac.uk/job/32148/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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