|Job Ref:||204622625||Employer:||cv-library.co.uk||Job Type:||Permanent||Country:||United Kingdom||County/State:||Hampshire||City:||Southampton||Address:||Post Code:||SO14||Salary:||£40000 - £55000/annum||Post Date:||05/10/2016 03:40|
Do you love machine learning and data analytics? Do you dream about new regression algorithms?
We're currently implementing the art of the possible in prognostics, diagnostics, anomaly detection, optimization and more 'run of the mill' analytics. It certainly aint easy.
Senseye is an exciting start up in the field of condition monitoring and prognostics. We are developing a cutting edge product to provide scalable prognostics to the manufacturing sector. Our team of engineers consist of software engineers, UI experts, physicists and mechanical engineers. We are based in Southampton, UK.
Who are we looking for:
We are seeking a prognostics researcher to support the development and evolution of our prognostics algorithms. You will achieve this through the research and application of the latest developments in machine learning and statistical analysis. Working closely with real data and a deep understanding of machine failure conditions, you will analyse data and research the best approaches for applying prognostics.
PhD in Prognostics (or similar - e.g. Data Science)
BSc/MSc in Computer Science/Engineering (or other numerical discipline)
Experience of applying prognostic algorithms to different machine types and operating conditions
Experience in machine learning, including supervised and unsupervised techniques
Experience in feature extraction and signal processing of high frequency data streams
Basic experience in software programming (e.g. golang, python)
Strong communication skills and able to discuss complex problems with senior and junior staff
Able to support customer engagement activities
Ideally, an awareness and/or experience in the condition monitoring industry
Research prognostics algorithms
Keep abreast of the latest research and best practise in prognostics, machine learning and data science
Analyse time series data to understand patterns and machine condition indicators
Extract features and other noteworthy artefacts from data streams
Provide technical guidance and specification to the software engineering team
Occasionally attend customer engagement events, conferences and exhibitions
Salary: £40,000 to £55,000 (depending on experience)
Location: Southampton, UK
Closing date: October 14th, 2016