|Salary:||£36,647 to £44,140 pa inclusive with potential to progress to £47,456 pa inclusive of London allowance|
|Placed On:||17th March 2021|
|Closes:||12th April 2021|
LSE is committed to building a diverse, equitable and truly inclusive university
Salary from £36,647 to £44,140 pa inclusive with potential to progress to £47,456 pa inclusive of London allowance
This is a fixed term appointment for 12 months
This full-time position is to work with Dr Eleanor Power in the Department of Methodology on her ESRC-funded collaborative project aimed at developing novel latent network models and associated R and Python packages. A core part of this will involve collaborating with an interdisciplinary team of network scientists and social scientists, primarily including Dr Caterina De Bacco (Max Planck Institute in Intelligent Systems) and Dr Daniel Redhead (Max Planck Institute in Evolutionary Anthropology), to develop these tools. This project will also involve contributing to the writing of conference papers, peer-reviewed journal articles, and software documentation.
The software development role entails developing R and Python packages, intended for use by social scientists. The software developed in this position will translate research code into maintainable, deployable and robust software. The software projects are intended for wide use and will be made available open-source.
The successful candidate will have:
We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.
We will strive to have as much flexibility as possible in accommodating the successful candidate’s needs surrounding residence during the duration of the appointment. If the successful candidate cannot relocate to London to commence their position, a remote working arrangement may be possible.
We particularly encourage applicants who are members of groups that are under-represented in academia, especially the STEM fields. This could be on the grounds of age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, nationality, ethnic or national origin, religion or belief, sex and sexual orientation, social and economic background, or other possible identities or statuses.
For further information about the post, please see the how to apply document, job description and the person specification.
To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email firstname.lastname@example.org.
The closing date for receipt of applications is 12 April 2021 (23.59 BST / GMT). Regrettably, we are unable to accept any late applications.
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