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Research Associate

Mathematics & Statistics
Salary:   £28,331 to £32,817
Closing Date:   Monday 16 December 2019
Interview Date:   Monday 13 January 2020
Reference:  A2902

Applications are invited for a Post-Doctoral Research Associate to develop scalable Bayesian algorithms for Big Data challenges. This is an exciting opportunity to develop cutting-edge and theoretically-supported scalable Monte Carlo methods which are fit-for-purpose for modelling and analysing complex data structures, including large-scale spatio-temporal and network data. 

This research is funded by EPSRC under the Innovation Fellowship scheme in close collaboration with industrial stakeholders, Prowler.io, the Heilbronn Institute of Mathematical Research and the Alan Turing Institute. The agenda for this research is to co-design and implement the next generation of data science tools capable of fitting complex statistical models to data, which can be implemented within a modern-day data science environment (e.g. cloud-based services). 

You should have, or be close to completing, a PhD in Statistics, Machine Learning, or a related discipline. You will work directly with the principal investigator to undertake and support the research necessary to achieve the aims within the grant. This will include, for example, publishing in leading statistics and machine learning journals/conference proceedings, presentation of research at workshops and conferences, developing code to implement new statistical methods, and active involvement in project meetings.  You will be experienced in one or more of the following areas: Bayesian statistics, computational statistics, statistical machine learning, probabilistic modelling. You will have demonstrated the ability to develop new statistical methodology and produce academic writing of the highest publishable quality is essential. Experience of developing research-level software is desirable but not essential.

This position is available for immediate start and will run for up to 6 months. Interviews will be carried out shortly after the closing date.

Interested candidates are strongly advised to contact Dr.Christopher Nemeth (c.nemeth@lancaster.ac.uk) in advance of making an application. Please state in your cover letter your suitability to the role and how you will contribute to the Department.

Applications from people in all diversity groups are strongly encouraged.

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