Research Assistant/associate

1 week ago


South Kensington, United Kingdom Imperial College London Full time

In this project, we are interested in developing symbolic learning methods for learning context-dependent, causal relations to aid human decision-making. In particular, the project will investigate and develop learning-based techniques to synthesize causal models from causal interpretations of different experts correctly even in the presence of conflicting and partial opinions. The project will also investigate methods for verifying data-driven, machine learning models against expert causal models.

The Department of Computing at Imperial College London is a leading department of Computer Science among UK Universities. The department has achieved top results in each of the research assessment exercises undertaken by the Higher Education Funding Council for England. There are over fifty academic staff members actively involved in research, creating a lively and stimulating atmosphere. The department is located in central London, next to Hyde Park and the museums of South Kensington.

**Duties and responsibilities**:
The project is an exciting opportunity for the post holder to build theoretical and practical experience with societal impact. The post-holder will be part of a multidisciplinary team from University of Birmingham, University of Leicester and Imperial College London, and involved in an ongoing collaboration with the National Crime Agency (NCA) aimed at developing decision-support for the crime linkage of serial offences (the practice of linking offences suspected to be committed by the same individual).

The research contract is initially agreed until 31st March 2024 starting asap but follow-on funding is anticipated (although cannot be guaranteed).

**Essential requirements**:
We are seeking a highly motivated applicant for a Research Assistant/Associate post to play a critical role to this end. The successful applicant will have a strong background in symbolic reasoning and/or machine learning research. Expertise in causal modelling is desirable. You will be expected to develop research initiatives within the scope of the position, design and implement novel analysis techniques, conduct experiments, and assist in developing further projects with partners, and to be comfortable working across disciplines.

Please see job description for full list of requirements.

**Further information**:

- A two-page CV including a publication list.
- A two-page research statement

**Documents**:

- Research Associate JD.pdf


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