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Fully funded PhD Scholarship in Deep Learning, Data Analytics, Natural Language Processing and Artificial Intelligence

Durham University - Department of Computer Science

Qualification Type: PhD
Location: Durham
Funding for: EU Students, International Students
Funding amount: £19,000
Hours: Full Time
Placed On: 8th August 2018
Closes: 30th September 2018

PhD Scholarship is to start between October-December 2018

Project Description: To further strengthen the Innovative Computing research group, the Department of Computer Science at Durham University are pleased to offer a PhD studentship for an internally-funded project, in the areas of deep learning, data analytics, natural language processing and artificial intelligence. Applications in areas such as e-learning, social or e-government data mining, health or business data analytics, as well as cross-disciplinary applications, triangulating data from different areas, are especially encouraged. High-Performance Computing facilities will be available if necessary either in the Computer Science department or on the CIS High Performance Computing Linux cluster known as Hamilton.

The fully funded studentship will start ideally between October-December 2018 and the successful applicant will receive a scholarship for four years (subject to satisfactory progression). The studentship includes: - A stipend of £19,000 per year (tax-free) - Research costs to cover publications/travel expenses/consumables up to £1500 per year - Full fees covered for three years for Home/EU and Overseas students Additionally, PhD students in Computer Science are allocated their own desk space in the graduate students’ room, usually close to other students doing related research, and a new desktop computer or a laptop will be provided.

Entry Requirements: You need minimally a 2:1 Bachelor’s degree or equivalent in an appropriate subject such as Computer Science or a related discipline, from a recognised university.

EU and Overseas students would also require a minimum overall IELTS 6.5 score of which no element of less than 6.0 (or equivalent). Excellent programming skills and an interest in machine learning and AI are essential criteria. Experience in the area of machine learning and data mining is an advantage. How to Apply: To apply for this studentship, applicants should submit an application using the online system found at

Documentation should include:

  • A cover letter
  • An initial project proposal (minimally containing your project’s application area, motivation, research questions, related research, data sources, research plan for the three years, plus a potential fourth write-up year)
  • A CV
  • Full and final academic transcripts and certificates
  • IELTS certificate
  • Two references
  • Academic contact is Professor Alexandra I. Cristea
  • For the scholarship, put: Fully funded PhD Scholarship in Deep Learning, Data Analytics, Natural Language Processing and Artificial Intelligence.

Informal enquiries can be made to the project supervisor:

Professor Alexandra I. Cristea (Computer Science):

Further information on the department can be found at:

Short-listed applicants will be invited for interview 11th – 12th October 2018

Interview dates: 15th and 16th October 2018 (VoIP interviews will also be accepted where the candidate is abroad)

Interviewees notified of outcome: 16th October 2018

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