PhD Projects

Applications are invited for 8 PhD student positions (“Early Stage Researchers”-ESRs) to be funded by the Marie-Sklodowska-Curie European Training Network TEMPERA (Teaching Emerging Methods in Paleaoproteomics for the European Research Area).

Few other disciplines have been so profoundly changed by new technological advances and integration of such diverse disciplines. The first high resolution MS/MS analysis of biological tissues was undertaken at the end of the last century, by 2012 the technology had been transferred to ancient samples. In 2014 one of the first combined proteomics/genomics studies was conducted on a medieval oral microbiome. This project brings together a diversity of leading edge techniques within a coherent theoretical and thematic framework; as such it will contribute not only to a better understanding of protein-based cultural heritage material, but will also provide us with tools to explore the use and application of proteins in the past.

The TEMPERA ETN will establish a new multidisciplinary training environment focused at preparing a cohort of specialists in analysis of ancient protein residues from cultural heritage materials. This will improve knowledge about production techniques and chemical preservation of cultural heritage materials, ultimately improving their safeguard and conservation. TEMPERA will also guide the ESRs to develop the advanced interdisciplinary knowledge required to achieve seamless integration of this innovative analytical approach with the established principles and practices of cultural heritage restoration and conservation. Through the creation of a coherent and powerful training environment, interdisciplinary knowledge, as well as specific research-related and transferable skills, will scaffold future ESRs’ professional thinking. The mind-set (or “forma mentis”) TEMPERA alumni will have acquired during their early-stage training experience will strongly affect their professional practice.

DISCLAIMER: The information reported on this website reflects only the TEMPERA consortium view. The European Research Agency is not responsible for any use that may be made of the information it contains.

🇪🇺 This project has received funding from the European Union's EU Framework Programme for Research and Innovation Horizon 2020 under Grant Agreement No. 722606. 🇪🇺