PhD fellowships in Natural Language Processing and Machine Learning
PhD Project in Handwriting Recognition, Fairness and Interpretability, and/or Multilingual NLP
Department of Computer Science
Faculty of SCIENCE
University of Copenhagen
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.
Start date is (expected to be) June 1 2022 or as soon as possible thereafter.
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.
Who are we looking for?
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.
Our group and research- and what do we offer?
The PhD students will join CoAStaL [http://coastalcph.github.io/] – 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.
Principal supervisor is Full Professor, Anders Søgaard, Department of Computer Science, firstname.lastname@example.org Direct Phone: +45 35329065.
The PhD Programme
To be eligible for this PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the programme
Employment as PhD fellow is full time and for maximum 3 years.
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.
Responsibilities and tasks
- 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
We are looking for the following qualifications:
- 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
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
- Motivated letter of application (max. one page) as well as a description of your research interests
- Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
- 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.
- Publication list (if possible)
- Reference letters (if available)
The deadline for applications is Tuesday February 1 2022, 23:59 GMT +1.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified or not. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.