Department of Chemical Engineering and Biotechnology

Applications are invited for a full time post doctoral researcher to work on an international collaboration to develop AI-based solutions for research on archival materials as part of the Humanities and AI Virtual Institute (HAVI), funded by the Schmidt Sciences Foundation. The research assistant will work with Dr Sebastian Ahnert's Structural Complexity research group in the Department of Chemical Engineering and Biotechnology and in close collaboration with teams at Stanford University and the Politecnico di Milano.

This position is being hired for a project working at the interface of AI, knowledge graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for the humanities. The current working prototype for this unique design avoids the pitfalls of traditional knowledge graph architecture, is transparent and interpretable, allows queries of high complexity, and has the ability to perform reasoning and generate novel insights from the represented data.

Candidates should be proficient in Python, and ideally have some expertise in one or more of the following areas: digital humanities, knowledge graphs, ontologies, graph databases, network analysis, natural language processing, computer vision. They should also have a PhD in one of the following areas: Digital Humanities, Computer Science, Physical Science, Engineering, Mathematics, Statistics, Data Science, or a closely related discipline. 

https://www.cam.ac.uk/jobs/research-assistantresearch-associate-fixed-term-nq48310