The Department of Computing is seeking to appoint a post-doctoral Research Associate to help investigate real-time anomaly detection in streaming data. Applications are solicited from applicants with a relevant background in data science, machine learning, or algorithms.
Duties and responsibilities
The Research Associate will study normal and anomalous streaming data in the context of distributed computer systems, ensuring that the analysis can be efficiently performed using the latest advances AI/ML for anomaly detection. The post holder is expected to implement scalable low-footprint algorithms able to cope with concept drift and missing data.
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 streaming data.
- To hold (or shortly expect to receive) a PhD in Computer Science or a closely related discipline, or equivalent research, industrial or commercial experience.
- Experience with unsupervised classification, hyper-parameter tuning, missing data, anomaly detection algorithms is essential.
- Knowledge of Python and a fast compiled language such as C, C++ or Java.
- Applicants with a theoretical track-record in online anomaly detection will also be considered.
- Practical experience within a research environment and / or publication in relevant and refereed journals or conferences
- Strong background in systems engineering and AI
- Knowledge of research methods and statistical procedures.
Please see job description for full list of requirements
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant salary range £36,045 – £39,183 per annum.
In addition to completing the online application candidate should attach:
- A full CV
For queries regarding the application process contact Jamie Perrins: firstname.lastname@example.org
For technical issues when applying online please email email@example.com
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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.
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For technical issues when applying online please email firstname.lastname@example.org .