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PhD fellowship in Natural Language Processing, Machine Learning – UCPH, Denmark – Feb 2022

Denmark, University of Copenhagen (UCPH)

The Natural Language Processing Section in the Department of Computer Science invites applicants for a PhD fellowship in Multilingual, Trustworthy NLP, including Handwriting Recognition: The project is part of the so-called MGR project, which is financed by the Novo Nordisk Foundation.

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General Info

Position: PhD fellowship
No. of Positions: 1
Research Field: ,
Joining Date: June 01, 2022
Contract Period: 3 Years
Salary: According to Standard Norms

Natural Language Processing Section
Department of Computer Science
University of Copenhagen (UCPH)

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Qualification Details

We are looking for candidates within the fields of Computer Science, Machine Learning, Software Engineering, Artificial Intelligence, Computational Linguistics, Statistics, or Computational Psychology. Applicants can have a background in Deep Learning, including Computer Vision and Natural Language Processing.

  • Professional qualifications relevant to the PhD project
  • Relevant publications
  • Relevant work experience
  • Other relevant professional activities
  • Curious mind-set with a strong interest in Natural Language Processing and/or Handwriting Recognition
  • Good language skills

Responsibilities/Job Description

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

How to Apply?

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Reference Number: -
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Documents Required

  1. Motivated letter of application (max. one page) as well as a description of your research interests
  2. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  3. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  4. Publication list (if possible)
  5. Reference letters (if available)

About the Project

The scholarships are funded by the Novo Nordisk Foundation. The project goal is to develop robust, fair, and interpretable handwriting recognition models to digitize historical tables of names and birth dates. The prospective PhD students can engage in all related research topic, including, but not limited to, handwriting recognition, fairness and interpretability, transfer learning and temporal drift, cross-lingual transfer, and constrained inference.

About the Department

The PhD students will join CoAStaL [] – one of the world’s best, most diverse, and friendliest research groups in NLP and Machine Learning. NLP at University of Copenhagen is ranked 2nd in Europe. We cover most if not all NLP applications, with a particular emphasis on scenarios where supervision is limited, including transfer learning, multilingual learning, multi-task learning, and reinforcement learning.

The group is a part of the Department of Computer Science, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen.

About the Employer: University of Copenhagen (UCPH)

Note or Other details

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

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Contact details

Principal supervisor is Full Professor, Anders Søgaard, Department of Computer Science,  Direct Phone: +45 35329065.

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