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Research Assistant/Associate in Trustworthy Machine Learning (Fixed Term)

Closing date: 
Thursday, 18 March 2021

Department of Engineering, Central Cambridge, Cambridge

We are seeking a highly creative and motivated Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering at the University of Cambridge. The position will be part of a research programme on Trustworthy Machine Learning, working with Dr Adrian Weller, other members of the ML group (http://mlg.eng.cam.ac.uk/), and collaborators both within and outside the University.

The goal of the programme is to develop new fundamental theory and methods to enable Machine Learning systems to be deployed in a trustworthy way, with a focus on technical approaches to advance fairness, interpretability and robustness. There is specific attention on applications in criminal justice and healthcare - both domains with urgent needs, high stake decisions and clear goals. Leading partners in each domain will ensure that we understand stakeholder requirements and facilitate impact. The programme is funded by EPSRC as a Turing AI Acceleration Fellowship. This is an exciting opportunity to develop strong technical foundations while engaging with real-world practitioners, broader stakeholders and policy makers.

Key responsibilities and duties include contributing to projects of technical research in fairness, interpretability and/or robustness, looking at specific applications in criminal justice (preferred) or healthcare; communicating effectively and coordinating with partners. Additional responsibilities include planning and organising research resources and workshops.

 

https://www.jobs.cam.ac.uk/job/28786/

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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