Program Centre for Doctoral Training in Designing Responsible Natural Language Processing PhD with Integrated Study University of Edinburgh The University of Edinburgh

Centre for Doctoral Training in Designing Responsible Natural Language Processing PhD with Integrated Study

Inggris

2

Apa yang akan saya pelajari?

The Centre for Doctoral Training (CDT) in Designing Responsible Natural Language Processing (NLP) aims to develop doctoral graduates that represent a new paradigm of interdisciplinary NLP researcher: individuals who can harness the full potential of NLP-based systems and create richer interactions between humans and AI.Our training will give you foundational knowledge across five fundamental skills domains, along with expertise in at least one of these areas. The training programme aims to create an NLP practitioner culture of responsibility, with graduates who are confident in combining technical expertise with:ethicsgovernanceconsideration of users and use contextsYou will train together in cohorts formed from various disciplines and background experiences. You will be supported to collaborate on 'team science' applied NLP projects. Through these projects, you will also get the chance to work with some of our 70+ partners in the following sectors:industrypublicnon-profitresearch

Saya termasuk departemen apa?

University of Edinburgh

Pilihan kuliah

Purna Waktu (4 tahun)

Biaya kuliah
£34.800,00 (Rp 704.237.836) per tahun
Ini adalah biaya sementara yang belum ditetapkan
Tanggal mulai

September 2027

Tempat

Main Campus

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

Purna Waktu (4 tahun)

Biaya kuliah
£34.800,00 (Rp 704.237.836) per tahun
Ini adalah biaya tetap
Batas akhir pendaftaran

Direncanakan January 2027

Tanggal mulai

September 2026

Tempat

Main Campus

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

A UK 2:1 honours degree, or its international equivalent, in an area related to the topic of the CDT, for example informatics, computer science, AI, cognitive science, mathematics, design, linguistics, psychology, philosophy, law, and social and political science.

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