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Research Fellow in Machine Learning (Leverhulme Trust Project)

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About us

As part of our work in Machine Learning, the UCL Electronic and Electrical Engineering invites applications for one (1) postdoctoral research position in Machine Learning associated with a Leverhulme Trust Research Project on “Liability for Autonomous Decisions Systems”.

About the role

The research project addresses two issues:

  • It aims to develop new mathematical instruments to diagnose the quality of machine learning (ML) decisions, identify its failures, and identify root causes of such failures.
  • It also aims to build on these instruments to formulate robust legal principles attaching liability to different actors involved in the production/operation of faulty ML systems.

This research is also supported by a team of scientists working at the intersection of technology and law.

The successful candidate’s work will specifically involve the development of new mathematical, statistical, and machine learning based tools to diagnose the quality of machine learning decisions, identify its failures, and identify root causes of such failures. The work will also involve publishing high quality research papers in high-profile journals and conferences. The successful candidate will work within an established research team led by Prof. Miguel Rodrigues.

The post is available from January 2024 for 18 months in the first instance. Further funding to support the post may be available.

If the successful candidate has not yet been awarded their PhD, appointment will be made as a Research Assistant (Grade 6B salary, £36,832 to £38,466 per annum inc. London Allowance). Payment at Grade 7 will be backdated to the date of final submission of the PhD thesis including corrections, once the PhD has been awarded.

About you

Applicants should have a PhD (or about to submit) in a relevant subject area, or similar experience demonstrated via publications in international journals/conferences or patents. Experience of working with machine learning and statistical tools and techniques is essential, in addition to knowledge of statistical theory, machine learning theory, and/or information theory & processing. Applicants should possess strong programming skills in Python and other relevant languages. Knowledge of machine learning technology, engineering, and operations is desirable.

Application details:

  • Application closing date on 15th November at 23:59
  • To apply, click the ‘Apply’ button
  • A job description and person specification can be accessed at the apply link, as well as contact details for enquiries about the post

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits.

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

We particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people.

You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/

Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.

Click Here to Apply For The Job

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