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Research Assistant/Associate x 2 in Machine Learning Systems (Fixed Term)

Closing date: 
Friday, 21 August 2020

Department of Computer Science and Technology

We are seeking to appoint two Research Assistants/Associates to join a team working on the developing machine learning methods within the systematic approach we call Auto-AI. The aim of this project is to look at machine learning systems in deployment with a holistic view. How can we design safe, reliable and interpretable methods that are capable of interacting in a deployed critical system? Where machine learning traditionally have studied methods and task in isolation, this project focuses on understanding and developing these methods with a system perspective. How can we understand sequential decision processes at scale, how can we create the required software and data architectures, how can we optimise and adapt large systems when the circumstances change.

This position can be filled by an appropriate candidate at Research Assistant or Research Associate level, depending on relevant qualifications and experience. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded the appointment will initially be made as a Research Assistant level, which will then be amended to Research Associate when the PhD is awarded.

Essential requirements: Candidates should have a degree in Computer Science/Statistics/Mathematics or related discipline (Research Associate) or significant experience in the deployment of Machine Learning methods (Research Assistant).

Research Assistant: (£26,715 - £30,942) Research Associate: (£32,816 - £40,322)

Fixed-term: The funds for this post are available for 2 years.

http://www.jobs.cam.ac.uk/job/26359/

 

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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