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Lecturer in Computational Social Science

University of Essex - Department of Sociology

Location: Colchester
Salary: £41,527 to £49,553 per annum
Hours: Full Time
Contract Type: Permanent
Placed On: 1st October 2019
Closes: 29th November 2019
Job Ref: REQ03155

The Department of Sociology is seeking a Lecturer (Assistant Professor) in Computational Social Science to help develop our curriculum in this area and to undertake high quality research.

The Department of Sociology was established in 1964 and is renowned for its research excellence. It is ranked 27 in the QS World Rankings and has been in the top ten for the quality of its research in all of the research assessment exercises since 1986.

The department is one of the largest in the country and currently has 36 permanent full-time academic staff. All are research active, and they work in a wide array of fields including sociological theory, social and cultural history, philosophy, anthropology and ethnography, quantitative social science, economic sociology, globalisation, international migration, environmental sociology, social psychology, criminology, cultural studies, LGBT studies, and feminism and gender studies. Journals currently edited from the Department include Sexualities and Crime, Media, and Culture and, from 2020, British Journal of Criminology.

Duties of the Role

The post-holder is required to conduct research in computational science and quantitative methods (individual and/or collaborative) that is in keeping with REF criteria and to teach (designing and delivering substantive and effective teaching and learning support) at the undergraduate and postgraduate levels. You will also supervise student projects, fieldwork and placements, and postgraduate taught students appropriate for the discipline.

In addition, you will be expected to generate external research funding, in collaboration with colleagues and that is appropriate in scale to career stage and subject area norms, and to undertake administrative duties within the Department, which might include student recruitment, and sitting on Departmental committees and Boards of Examiners.

A full list of key responsibilities and main duties can be found within the job pack.

Qualifications and Skills required

The successful candidate will need to have completed a relevant doctoral level research degree in Criminology, Sociology or cognate Social Science discipline, or be in the final stages of completion of PhD studies.

You will have proven experience in teaching at undergraduate and/or postgraduate levels, or demonstrable potential to achieve this, have evidence of a research agenda, engagement in high-quality research activity and a developing research profile and be able to demonstrate a clear publication plan for submission to future Research Excellence Framework (REF) programmes.

In addition, you will need experience computational and quantitative research methodologies including, for example, machine learning, automatic data collection, text analysis, network science and analysis of big data and be proficient in both programming for social science research in Python and statistical computing in an established software environment - preferably R but also Stata and/or IBM SPSS.

We are seeking an individual who also possesses the ability and willingness to complement and enhance the department/school’s research and education strengths and areas of planned development, contributing to courses in areas of Sociology other than their main area of specialisation; can engage with and motivate students; and who is willing to participate in extra-curricular departmental activities.

Please use the ‘Apply’ button to read further information including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed. You will also find details of how to make your application here.

Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please telephone (01206) 876559.

   
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