From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.

Teaching Assistant in Economics (Maternity Cover)

The Teaching Assistant will carry out teaching and assessment of the course ECON2601 (Economics 2 - Combined Studies), taken by second-year undergraduates pursuing BSc joint honours degrees within the Departments of Mathematics and Statistical Science. The successful candidate will be expected to teach nine one-hour support classes (comprising approximately twenty students each) every other week during the second half of Term 1 and the entire Term 2 – a total of 72 hours of classes; to mark six coursework assignments for each student; to offer regular office hours and to keep records of attendance and coursework marks. The role will entail a total of 300 hours of preparation, marking and teaching work over the entire contract.

Candidates must be able to demonstrate small-group teaching ability of undergraduate courses in Economics from a mathematical perspective to students with strong quantitative backgrounds. Excellent organisational and communication skills are essential. Applicants should hold a relevant undergraduate qualification in Economics (or a related subject) and ideally will be currently studying (or have studied) for a PhD in the same area.

The post is available from 1 November 2017 and is to undertake specific maternity cover the duration of which is dependent upon completion of the cover, return of the post holder or cessation of the funding, whichever is soonest. In the first instance, the cover is estimated to be for 5 months.

Closing date: 26 October 2017

Senior Research Associate in Statistics for Food, Environment & Health

The post holder will be expected to conduct research on the synthesis of evidence from multiple models and data sources, to understand the interactions between food systems, the environment and human health. The research will contribute to the Sustainable and Healthy Food Systems (SHEFS) research programme, which is funded by the Wellcome Trust. This programme is a collaboration between the London School of Hygiene and Tropical Medicine (LSHTM), University College London (UCL), the University of Aberdeen and several other institutions in London, along with collaborators in South Africa (UKZN, Durban) and India.

The main purpose of the role is to provide a statistical framework for integrating the evidence from the different strands of the SHEFS programme, accounting appropriately for uncertainties in the underlying data and models and delivering results in a form that is appropriate for the evaluation of policy options. The post holder will help to co-ordinate the activities of the other London-based research team members, and will collaboratively write-up research for publication in international, peer-reviewed journals.

Candidates should hold a PhD (or equivalent qualification) in Statistics, or a closely related field. It is essential that the successful candidate has the proven ability to formulate, implement and evaluate appropriate statistical solutions to complex applied problems; excellent programming skills in one or more modern computing environments (e.g., R, C#, Python); experience of working effectively in an interdisciplinary environment and the ability to communicate complex concepts across disciplines. Applications are particularly welcome from candidates who have experience in the use of Bayesian methods.

The post is available from 1 December 2017 and is funded until 31 March 2021 in the first instance.

Closing date: 27 October 2017

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