Research Assistant in Machine Learning

Job summary

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality. The post is to improve the performance and scalability of real-world...

Job listing information

  • Reference ENG00941
  • Date posted 5 August 2019
  • Closing date 3 September 2019

Job description

Job summary

The Department of Computing is a leading department of Computer Science among UK Universities, and has consistently been awarded the highest research rating. In the 2014 REF assessment, The Department was ranked third (1st in the Research Intensity table published by The Times Higher), and was rated as "Excellent" in the previous national assessment of teaching quality.

The post is to improve the performance and scalability of real-world machine learning systems that use GPUs and other types of accelerators. The successful candidate will join the project, led by Professor Peter Pietzuch in collaboration with industrial partners, to carry out a research programme in the areas of systems and machine learning research, to undertake project management and/or help supervise multi-disciplinary teams. In addition, the Research Associate will be expected to submit publications to refereed conferences and journals. 

Duties and responsibilities

The position offers an exciting opportunity for conducting internationally leading and impactful research work, which aims to solve real-world machine learning problems in the context of big data processing in cloud environments. The Research Associate will be responsible for designing new distributed machine learning architectures, providing abstractions and APIs for scalable data processing, and implementing and evaluating experimental software prototypes. They will be expected to publicise their research results at premier systems, distributed systems, and database conferences and journals.

Essential requirements

To apply for this position you must have a strong computer science background and have experience, including a proven publication track-record, in one or more of the following areas: machine learning, distributed systems, software systems and/or big data management.

You should also have:

  • A Master’s degree in computer science or a related area.
  • Experience with the design and implementation of complex software systems in systems programming languages, such as C and/or C++
  • You must have excellent communication skills and be able to organise your own work and prioritise work to meet deadlines.
  • Knowledge of research methods and statistical procedures.

Further information

For further information on the group and related projects, see: http://lsds.doc.ic.ac.uk.

Informal enquiries related to the position should be directed to Dr Peter Pietzuch: prp@doc.ic.ac.uk

In addition to completing the online application, applicants must include the following:

  • A full CV, with a list of all publications
  • A 2-page research statement 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 contact Jamie Perrins: j.perrins@imperial.ac.uk

For technical issues when applying online please email recruitment@imperial.ac.uk

Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

 

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.