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NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-Digital-Humanities-%28Department-of-Philosophy%2C-and-CSSH%29/33069-en_GB/?st=27CF5936A55A2B7A914BA56A6DB2771EB8ECC8AF
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Job Description
1. To act as lead engineer in bringing to fruition the project English Philosophy Texts Online (EPTO), a free library of early modern philosophical and theological texts, whose pilot website is at English Philosophical Texts Online. This builds on the long-term project Hume Texts Online, developed by Professor Millican together with Dr Amyas Merivale (who will continue to act as a consultant). Hume Texts Online has become the standard resource for Hume scholars worldwide, and the aim of English Philosophical Texts Online is to do the same for a wide range of early modern texts, while extending significantly the analytical tools provided.
2. To support the development of technical and organisational software infrastructure for digital humanities within the Centre for Computational Social Science and Humanities, with a view to future grant applications and projects.
3. To provide materials, teaching and practical classes to support the application aspects of the course HS1503, Living with AI: Understanding the Technology that’s Changing Everything. These include AI in humanities research, languages, texts, creative work, and related professional contexts. Practical work will cover use and critical evaluation of relevant tools, e.g. in textual analysis, translation, research assistance, content generation, and decision support.
Teaching and support for the HS1503 course would be undertaken in close liaison with the course’s principal lecturer (likely to be Assistant Professor Daniel Waxman in Semester 1, and Professor Peter Millican in Semester 2). It is expected that the appointee will be fully responsible for producing materials and running practical classes and tutorials on the application aspects of the course (but not on the philosophical or historical aspects), and for preparing the corresponding lectures.
Qualifications
This position requires a good first degree and an appropriate Master’s or Doctoral degree, with at least 2 years’ relevant work experience, and good knowledge, technical skills and expertise in the field of digital humanities.
The appointee is expected to have expertise and at least two years’ experience in relevant programming, with a keen interest in software development and exploration of new techniques for digital humanities (including application of machine learning to OCR and textual analysis, and innovative display of analytical results). In addition, he or she should have some experience in teaching at a university level (or similar), and in producing appropriate educational materials. Experience in mentoring junior staff, and in providing technical guidance on a variety of projects, would also be desirable.