Current Opportunities

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The following opportunities may be of interest to those wanting to pursue data science related research.

2018 Call for Members

2018 Call for Members of Lancaster's Data Science Institute - closing date Wednesday 28th February 2018

For 2018 we welcome new membership applications from academic staff and graduate students. Membership of the institute indicates a commitment to engage with DSI’s aims and objectives, undertaking research aligned to the institute’s goals and participating in institute activities. This includes a willingness to work with other institute members across traditional discipline boundaries, including the development of new proposals for research funding. 

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Research Vacancies

Research Associate/Senior Research Associate in Statistics - closing date Sunday 4th March 2018

An exciting opportunity exists for a statistical researcher on the Innovate UK funded LHOFT project (Liverpool - Humber Optimisation of Freight Transport). The LHOFT project seeks to unlock the full potential of the ports and logistics services along the M62 corridor to better move freight originating from or destined for the north of England. 

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Research Associate/Senior Research Associate: Next-Generation Converged Digital Infrastructure (NG-CDI) - closing date Friday 2nd March 2018

Two research positions are available to work on Next Generation Converged Digital infrastructure (NG-CDI), an exciting, cross-disciplinary research project led by tt娱乐.  NG-CDI is a five year, £5M programme of research funded by EPSRC and BT that will forge the next generation converged digital infrastructure for the UK, delivering a radically new data-driven architecture for the autonomous operation of future telecommunications infrastructure. 

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Senior Research Associate Position in Environmental Data Science: Integrated statistical modelling - closing date Sunday 18th March 2018

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment (http://www.abminiaturehorses.com/dsne).  This particular position focuses on the development of methods for combining different statistical modelling frameworks with emulations of computer code, using Gaussian processes as an interface. 

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Senior Research Associate Position in Environmental Data Science: Learning and Optimisation - closing date Sunday 18th March 

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment (http://www.abminiaturehorses.com/dsne).   This particular position focuses on the development of machine learning approaches for learning in environmental data science. 

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Senior Research Associate Position in Environmental Data Science: Spatio-temporal extremes - closing date Sunday 18th March

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment (http://www.abminiaturehorses.com/dsne).  This particular position focuses on the development of a new methodology for spatiotemporal extreme value statistics, and to interface these methods with environmental process models. 

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Senior Research Associate Position in Environmental Data Science: Virtual Labs in the Cloud - closing date Sunday 18th March

Four post-doctoral research positions, each of four years, are available in an exciting, cross-disciplinary programme of research to develop and deploy a data science of the natural environment (http://www.abminiaturehorses.com/dsne).  This particular position focuses on virtual lab development, and we seek a post-doc with research experience of big data/ cloud environments, with supplementary skills in at least one of at least one of distributed systems, eScience or software engineering/ software architecture. 

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Masters Studentships

Our MSc Data Science programme offers students the opportunity to gain the skills needed to succeed in Data Science and to shape their learning according to their interests.  To learn more about our Programme and any funding opportunities please visit our Education pages.