PhD with Integrated Study in UKRI Centre for Doctoral Training in Natural Language Processing
国际学生入学条件
A minimum UK 2:1 honours degree, or its international equivalent, in computer science, linguistics, cognitive science, AI, or a related discipline. Most students accepted to the programme hold a first class degree.
Applicants coming directly from a bachelors or masters degree are welcome.
We particularly welcome applications from members of communities under-represented in computer science.
IELTS Academic: total 6.5 with at least 6.0 in each component.
TOEFL-iBT (including Special Home Edition): total 92 with at least 20 in each section.We do not accept TOEFL MyBest Score to meet our English language requirements.
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:92
- 托福笔试总分:160
- 其他语言考试:PTE Academic: 62 overall with at least 59 in each component.
课程简介
NLP is transforming the way humans communicate with each other and with machines.<br><br>We have witnessed the rapid evolution of a wide range of natural language processing (NLP) systems that translate text, recognise or produce speech, answer questions, retrieve documents or facts, respond to commands, summarise articles, and simplify texts for children or non-native speakers.<br><br>The rapid proliferation of online news, social media, and scientific articles has created an exploding demand for NLP systems that enable people to derive critical insights from massive streams of data in many languages.<br><br>About our programme<br>The Centre for Doctoral Training (CDT) in Natural Language Processing is jointly run by the School of Informatics and the School of Philosophy, Psychology and Language Sciences.<br><br>Its aim is to equip you with the fundamental skills for advanced research in NLP and language science, giving you foundations in:<br><br>linguistics<br>machine learning, statistics, algorithms<br>programming<br>working with other modalities such as vision and design, ethics and responsible innovation as they apply to NLP systems<br>The four-year training programme will give you a solid foundation in the challenge of working with language in a computational setting and its relevance to critical engineering, scientific, and ethical problems in our modern world.<br><br>It also offers training in the key software engineering and machine learning skills necessary to solve these problems.<br><br>The programme aims to have a transformative effect as we train, and on the field as a whole, by developing future leaders and producing cutting-edge research in both methodology and applications.<br><br>Our researchers<br>The CDT brings together researchers in NLP, speech, linguistics, cognitive science and design informatics from across the University of Edinburgh.<br><br>You will be supervised by over 60 world-class faculty and will benefit from cutting edge computing and experimental facilities.<br><br>Our partners<br>The CDT involves over 20 industrial partners, including:<br><br>Amazon<br>Facebook<br>Huawei<br>Microsoft<br>Naver<br>Toshiba<br>BBC<br>Close links also exist with the Alan Turing Institute and the Bayes Centre.
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