Menu

Home / Opportunities / Research Assistant/Associate in Machine Learning (AI Alignment) (Fixed Term)

Warning message

Cambridge-based members of C2D3 can log in to view more information about this opportunity.

Research Assistant/Associate in Machine Learning (AI Alignment) (Fixed Term)

Closing date: 
Tuesday, 2 August 2022

Department of Engineering, Central Cambridge

The Department of Engineering are seeking a post-doctoral Research Associate ("post-doc") to join the Machine Learning Group (MLG) (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme "Deep Learning and AI Alignment".

The programme's goal is to increase our understanding of how to align AI systems -- especially those based on Deep Learning - with human preferences/values/intentions.

The post-doc will work with Assistant Professor David Krueger on topics in AI Alignment, Deep Learning and/or Reinforcement Learning. They will have the opportunity to work with members of the MLG including Professor Richard Turner and Dr. Adrian Weller, and other professors at Cambridge, such as Assistant Professor Samuel Albanie, and Associate Professor Ferenc Huszar. They will also have the opportunity to assist in supervising PhD students, Master's students, and research assistants.

https://www.jobs.cam.ac.uk/job/35317/

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 

Join us