[Forum SIS] Lectureship in Social Statistics/Data Science

[Fulvia Pennoni]

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*Lectureship in Social Statistics/Data Science*

50th Anniversary Lectureships - Sociology and Data Science

Salary:   £33,574 to £46,414

Closing Date:   Monday 29 February 2016

Interview Date:   To be confirmed

Reference:  AL08

https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=AL08

As part of a major investment in Data Science we are seeking 
applications from outstanding individuals with interests in Social 
Statistics/Data Science to join the Child and Family Justice Research 
Centre. The Centre is a new interdisciplinary research grouping 
resulting from collaboration between Sociology, the Lancaster Law School 
and the Data Science Institute. The Centre aims to achieve step-change 
in child and family justice research through innovative national and 
international research that sheds new light on outcomes for children and 
families. You must have a keen interest in social issues, and either 
hold or be willing to develop substantive knowledge of law and policy 
relating to children and families.

In addition, you will join Lancaster’s vibrant Data Science Institute.

Data Science is a key area of growth for Lancaster University and is 
founded on historic strengths in Computer Science, Statistics and 
Operational Research coupled with an outstanding track record in 
multidisciplinary research. Together with more than 70 academics with 
existing expertise at Lancaster, these positions are a key part of the 
new world-class, multidisciplinary Data Science Institute that is 
starting to set the global standard for an interdisciplinary approach to 
contemporary data-driven research challenges in areas including data and 
society, justice, health, and the environment. Appointments will help 
play a key role in shaping this exciting new initiative.

You must be able to bring to the Centre a range of statistical/data 
science methodologies for working with quantitative social science data 
and must be able to work across disciplinary boundaries. Applications 
are particularly welcome from candidates with

·experience in working with administrative and survey datasets

·Experience or keen interest in range of data linkage techniques.

·An interest in cohort studies and linked clinical trials data

For informal discussion about this post please contact Professor Karen 
Broadhurst, Department of Sociology Email: 
_<mailto:k.broadhurst a lancaster.ac.uk>k.broadhurst a lancaster.ac.uk_

(Sociology) And /or: Professor Idris Eckley, Data Science Institute 
Email:_<mailto:i.eckley a lancaster.ac.uk>i.eckley a lancaster.ac.uk_

See also 
<http://www.lancaster.ac.uk/anniversary-lectureships>www.lancaster.ac.uk/anniversary-lectureships.


-- 
Fulvia Pennoni
Department of Statistics and Quantitative Methods
University of Milano-Bicocca
http://www.statistica.unimib.it/utenti/pennoni/



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