University of Cambridge
Research Assistant, non-invasive analysis of illuminated manuscripts Zeno Karl Schindler, MINIARE Fellow
GBP 25,298 - 29,301
Twelve-month contract starting January 2018
The Fitzwilliam Museum houses the principal collections of art and antiquities of the University of Cambridge, and holds over half a million objects in its care. The Department of Manuscripts and Printed Books (MSSPB) preserves one of the finest collections of illuminated manuscripts in the world, dating from the tenth to the sixteenth century.
The successful candidate, supported by the MINIARE Fellowship of the Zeno Karl Schindler Foundation, will join the cross-disciplinary team of the research project MINIARE (Manuscript Illumination: Non-Invasive Analysis, Research and Expertise, www.miniare.org). Based at the Fitzwilliam Museum, University of Cambridge, MINIARE focuses on the non-invasive analyses of the materials and techniques used in medieval and Renaissance illuminated manuscripts.
Under the supervision of the Fitzwilliam Museum's Research Scientist and the Keeper of Manuscripts and Printed Books, the Zeno Karl Schindler / MINIARE Fellow will analyse medieval and Renaissance illuminated manuscripts with a combination of non-invasive analytical tools. He/she will be trained in the combined, mutually complementary use of different imaging and analytical methods. He/she will become fully aware of the conservation needs of unique and exceptionally fragile manuscripts, as well as of the broader cultural and historical questions that the Museum's cross-disciplinary research endeavours to clarify.
Candidates should hold a Bachelor's or Master's Degree in physics, chemistry, materials science or cultural heritage science. Those who have recently completed a PhD in any of these fields will also be considered. They should be familiar with a range of analytical and technical imaging methods.
A collaborative, supportive and flexible team working style is essential. The ability to deal with people at all levels and in a professional manner is crucial. A high degree of IT literacy, preferably including the use of software for data acquisition and analysis and image processing, is required. A strong interest in art and art conservation would be an advantage.
To submit an application for this vacancy, please click on the link in the 'Apply online' section of the advert published on the University's Job Opportunities pages http://www.jobs.cam.ac.uk/.. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Closing date for applications is midnight Friday 20 October 2017
Planned interviews: w/c 13 November 2017
Any queries should be directed to email@example.com or Tel: 01223 764840.
Offers of employment will be conditional upon the satisfactory outcome of a Security check. Whether an outcome is satisfactory will be determined by the University