Research Assistant/Associate in Trustworthy Machine Learning
University of Cambridge
United Kingdom

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.

Successful applicants will have (or be near to completing) a PhD in Computer Science, Information Engineering, Statistics or a related area, knowledge of machine learning and excellent mathematical and programming skills. We will also consider candidates who can offer equivalent experience to a PhD.

Interviews are expected to happen remotely in March 2021. Applicants are encouraged to ensure that referees are able to submit their letters before such date. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges: Research Assistant: £26,715 - £30,942 Research Associate: £32,816 - £40,322

Fixed-term: The funds for this post are available for 24 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that by midnight on the closing date you upload a short Curriculum Vitae (CV) of 2-3 pages including publications highlighting up to 3 most relevant, and a brief covering letter highlighting your match to the role, past research and future plans. If you upload any additional documents, they will not be considered.

If you have any questions, please contact Dr Adrian Weller, aw665@cam.ac.uk, for queries of a technical nature about the role or Rachel Fogg, cbl-enquiries@eng.cam.ac.uk, for queries about the application process.

Please quote reference NM25769 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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