英国伦敦国王学院2023年招聘博士后职位（分布式人工智能），具体情况以公告为准。原文如下：

伦敦国王学院（King's College London，简称King's或KCL）是位于英国伦敦的一所公立综合性研究型大学，1829年由英王乔治四世和首相阿瑟·韦尔斯利在泰晤士河畔创立，为伦敦大学创校学院、罗素大学集团成员、被誉为“金三角名校”。

伦敦国王学院是英格兰第四古老的大学，在2021年的REF英国官方大学排名中位居全英第六位 。学校有世界上古老的护理学院，旗下圣托马斯医院被《新闻周刊》评为英国最佳医院；国王商学院获得AACSB及EQUIS认证，牙医学、护理学、精神病学、心理学、哲学位列世界前十，法律、医学、地理、政治、历史、文学、电信工程均位列世界前二十。此外，伦敦国王学院拥有英国大学中唯一的战争系，为英国培养出了大量的军事和外交人才。

Postdoctoral Research Associate

Kings College London

Job Description

We are seeking to appoint a postdoctoral research associate with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering.

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.

The post holder will work closely with Prof Elena Simperl and Dr Albert Meroño Peñuela and a team of 10 researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of research hackathons in prompt engineering for knowledge engineering, aligned with the activities of the Knowledge Graph Interest Group at the Alan Turing Institute. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with ontology engineering methodologies, in theory and practice, is a bonus, but not a firm requirement.

The post is full-time, but we can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 12 months provided funding is available.

Contact details: Prof Elena Simperl, elena.simperl@kcl.ac.uk

This post will be offered on a fixed-term contract for 12 months

Closing date: 26 March 2023.

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