University of Cambridge

Job Opportunities


Research Associate / Senior Research Associate: AI for Integrative Cancer Medicine (Fixed Term)

Research Associate £31,604 - £38,833 or Senior Research Associate £39,992 - £50,618

Fixed-term: The funds for this post are available for 36 months from the starting date (1 October 2018).

The Department of Computer Science and Technology (Computer Laboratory) is looking to appoint an enthusiastic researcher to join a large project on Integrative Cancer Medicine, funded by the Mark Foundation. The project will aim to develop and use novel AI methods, in particular machine learning algorithms and also logical approaches to integrate diverse types of patient data (e.g., genomic, molecular, imaging, clinical) in order to provide better and more personalised diagnostic and treatment plans. The successful applicant will work directly with Dr Pietro Lio' and Dr Mateja Jamnik in the Department of Computer Science and Technology. This computational team will collaborate in close partnership with 4 other research teams from mathematics, clinical medicine and computational biology at the University of Cambridge, and will have the opportunity to interact with numerous other groups working on AI at Cambridge.

The aim of the project is to develop techniques from supervised and unsupervised machine learning methods, including random forests and various flavours of deep learning (for example graphs, attention, agents based, autoencoders) and combine them with network science (multilayers) and biomedical knowledge to integrate heterogeneous data for individual breast cancer patients such as their genomic, cell and clinical data. In parallel, we propose to use these predictive models to extract a generative logic model with reasoning rules that provides causal explanations of the decisions made by the model. These rules will be used to build medical decision support systems for personalised patient prognosis, therapy and drug optimisation.

We are looking for a strong researcher, either in logic and reasoning with an interest in machine learning, or in machine learning with an interest theory. The ideal candidate for this position will either have a strong background in developing machine learning algorithms, or have a strong background in logic and reasoning. In particular they should:

  • have a strong background in several of: machine learning, artificial intelligence; and/or: logic, mathematics, theorem proving;

  • have some experience in designing formal logical representations, and implementing and evaluating reasoning systems; and/or: in developing new machine learning algorithms;

  • have a PhD in Computer Science, Engineering or maths and have a strong publication record;

  • have good communication and team working skills to collaborate with other AI researchers and clinicians.

The researcher appointed as Senior Research Associate should in addition to the above criteria also have some experience of:

  • managing a (small) research project;

  • supervising PhD and/or Master projects;

  • running research events such as workshops and conferences;

  • collaborating productively with people outside of their immediate research area.

Informal enquiries may be directed to Dr Mateja Jamnik ( and Dr Pietro Lio ( at the Department of Computer Science and Technology, University of Cambridge.

The deadline for receipt of applications is midnight on 12th August 2018. A short list of applicants will be invited for telephone/in-person interview shortly after, in the week of 13 August 2018.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure you upload your curriculum vitae; a statement of the particular contribution you would like to make to the project (maximum 500 words); a description (max 1 page of A4) of the research project you are most proud of and your contribution to it; a transcript of your university grades; and a cover letter with details of your visa status and earliest possible starting date. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR16150 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

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

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