|Salary:||£33,309 to £40,927 pro rata|
|Placed On:||13th October 2021|
|Closes:||23rd November 2021|
Cambridge Digital Humanities seeks to appoint a part-time, fixed term (0.75 FTE for 12 months) Research Associate, to be responsible for the technical aspects of the AHRC/NEH funded project "Digital approaches to the capture and analysis of watermarks using the manuscripts of Isaac Newton as a test case"
The aim of the project is to investigate the use of images of watermarks in the papers of Isaac Newton to infer information about the organisation and chronology of the archive. The role holder will work with researchers and library and imaging staff on both sides of the Atlantic to address the research questions of the project. The post will be based in Cambridge Digital Humanities and the project has links to Indiana University, the École Nationale des Chartes and the École des Ponts in Paris. The core activity of the role will be the adaptation, development and application of computer vision methods to the problem of identifying and grouping watermarks with particular reference to new and existing images of Isaac Newton's manuscripts. This will involve adapting existing software developed as part of the Filigranes Pour Tous project, as well as the development of specific tools to meet the project's needs. The role holder will be fully involved in the project's research and will contribute to the project's published outputs.
The purpose of this role is to work with other project members to address the core research questions of the project, taking main responsibility for technical aspects. The role holder will:
- Apply computer vision methods to the problem of identifying watermarks in new transmitted light images and investigate and develop methods for existing reflected light images.
- Adapt existing software developed by the Filigranes Pour Tous project in order to cluster together manuscript material with the same watermarks across the dispersed corpus of images, and to provide for the integration of that software with IIIF.
- Reconcile the results of the clustering process with existing datasets based on visual inspection of the manuscripts.
- Generate new data inferred from the results of the clustering process on the organisation and dating of Newton manuscript material, and integrate into existing metadata.
- Publish and document data, code and methodologies of the project.
- Contribute to the project's published outputs and to project events and workshops.
The successful candidate will be someone with a strong academic record including holding a PhD in a relevant subject, for example in Computer Vision, Machine Learning, Digital Humanities, Documental analysis, etc. They will have experience with relevant tools such as IIIF or TEI and possess research experience in Deep Learning. Ideally, they will have published first-author papers in relevant journals.
The closing date for applications is midnight (GMT) on 23 November 2021. If you have any questions about this vacancy or the application process, please contact firstname.lastname@example.org.
To apply online for this vacancy and to view further information about the role, please visit :
Please quote reference VM28487 on your application and in any correspondence about this vacancy
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