Research Associate in Adversarial ML and Identity Learning*

Imperial College London - Department of Computing, Data Science Institute

The Computational Privacy Group at Imperial College London's Data Science Institute is looking to hire a Research Associate to work on topics related to the application of Machine Learning techniques. Led by Yves-Alexandre de Montjoye (, the group is interested in advances in Adversarial Machine and Identity Learning with a focus on the use of Machine Learning to profile individuals based on their behaviour.

Ever more individuals and companies have the ability to routinely amass massive amounts of data about individuals and the societies in which they live. Data generated by our technologies has the potential to fundamentally transform the way we fight diseases, design transportation systems, develop new drugs, etc. Improperly used, this data can also lead to deep violations of our privacy and large-scale discrimination. The goal of our work is to develop research and technical solutions allowing data to be used for good in a privacy-conscientious and fair manner.

The research project will be defined in close collaboration with the Researcher in the area of adversarial ML and Identity Learning. For example, possible projects could include the development of a rigorous framework to profile individuals based on arbitrary data or the analysis of risks when data collected to train an algorithm for automatic decision making is collected from users who may have nefarious intentions. The CPG’s research projects usually include a mix of theoretical and empirical work with large-scale mobile-phone data, credit card transaction data, healthcare data etc. The group often collaborates with large industry partners and all research projects we carry aim to generate significant real-world impact.

The successful researcher will be expected to help develop the group research in adversarial ML and identity learning and to closely collaborate with the members of the Computational Privacy Group. They are expected to contribute to the dissemination of the work nationally and internationally.

To apply you must have:

  • A PhD (or equivalent) in Machine Learning, Applied Mathematics, Computer Science or a related field.
  • A strong track-record of publications in leading journals or conferences.
  • Experience in developing and applying Machine Learning models is required.
  • A demonstrated interest in the impact of Machine Learning on society (e.g. personal blog) is a plus.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 - £34,040 per annum.

Informal inquiries about the post can be directed to Dr. Yves-Alexandre de Montjoye and Thibaut Lienart

How to apply:

For further details on this opportunity visit our website at the following link and search using vacancy reference number ENG00257.

In addition to completing the online application, candidates should attach:

  • A full CV, including publications, experience and achievements
  • A research statement (~1 page) indicating what you see are interesting research issues relating to the above post and why your expertise is relevant

For queries regarding the application process, please contact Fay Miller (

Imperial Managers lead by example

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role: