Research Associate in real-time cloud monitoring analysis

Job summary

The Department of Computing is seeking to appoint a post-doctoral Research Associate to help investigate real-time analysis of cloud monitoring data. Applications are solicited from applicants with a relevant background in machine learning, real-time algorithms, or distributed systems.

Job listing information

  • Reference ENG01479
  • Date posted 25 November 2020
  • Closing date 23 December 2020

Job description

Job summary

The Department of Computing is seeking to appoint a post-doctoral Research Associate to help investigate real-time analysis of cloud monitoring data. Applications are solicited from applicants with a relevant background in machine learning, real-time algorithms, or distributed systems.

Duties and responsibilities

The Research Associate will study normal and anomalous monitoring data in the context of distributed software systems (e.g., microservices), ensuring that the analysis can be efficiently performed using the latest advances AI/ML for anomaly detection. The post holder is expected to implement low-footprint algorithms to efficiently analyze microservices monitoring data in real-time. Experience with stream processing techniques, anomaly detection algorithms, graph analysis, distributed tracing, and unsupervised learning is desirable. Applicants with a theoretical track-record in anomaly detection will also be considered.

In addition, the Research Associate will be expected to submit publications to refereed journals and conferences and will be required to produce a correct and efficient prototype for use in industrial setting in the presence of high rates of monitoring data. The position is fixed term but further extension may become available in due course.

Essential requirements


  • To hold (or shortly expect to receive) a PhD in Computer Science or a closely related discipline, or equivalent research, industrial or commercial experience.

  • Practical experience within a research environment and / or publication in relevant and refereed journals or conferences

  • Experience of dealing with specific groups of people, e.g. sponsors, project partners

  • Experience with monitoring and tracing in distributed software systems

  • Strong background in systems engineering and AI

  • Knowledge of research methods and statistical procedures

Further information

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant salary range £35,477 - £38,566 per annum.

in addition to completing the online application candidate should attach.

  • A full CV
  • Up to 1 page statement outlining why you think you would be ideal for this post. 

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/

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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.

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

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