3 PhD students in Computational linguistics, Natural language processing, Machine learning, Artificial intelligence

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Qualification Details

The applicants must have a master's degree in computational linguistics, natural language processing, machine learning, artificial intelligence, computer science, or a closely related field. Due to the project’s interdisciplinary angle, the applicant must have a strong background in machine learning and/or linguistics. Outstanding spoken and written communication skills in English are essential.

Responsibilities/Job Description

The goal of the project is to make use of linguistic typology to improve low-resource NLP. In this project, we will dig deeper into the nature of linguistic structure, and how we can make use of these structures in the context of low-resource NLP. This requires a solid foundation of both linguistic theory, as well as artificial intelligence and machine learning. As such, the project leans heavily on interdisciplinarity, and this is expected to be reflected in the profiles of the PhD students in the team. Concretely, we are interested in candidates with profiles ranging from (i) a linguistic focus (ideally with experience in computational linguistics) to (ii) a technical focus, including NLP, machine learning, or artificial intelligence more broadly. In addition to the three PhD students, the project team will also consist of a postdoc and the principal investigator, Associate Professor Johannes Bjerva. The project offers a large amount of freedom and autonomy in terms of research directions within the umbrella of typologically inspired low-resource NLP. Scientific dissemination is expected to focus on venues such as ACL, NAACL, EACL, EMNLP, TACL, COLING, AAAI, ICML, and the CL Journal.

For further information about the project, see: https://www.carlsbergfondet.dk/en/Forskningsaktiviteter/Bevillingsstatistik/Bevillingsoversigt/CF21_0454_Johannes-Bjerva

How to Apply?

Application Method: Online Application
Ref. No.: 16-22005

Application Procedure

The application must contain:

1) A cover letter of max. 1 page, including (i) motivation for applying, (ii) preferred starting date (specifically if other than the project’s starting date of 1 September 2022), and (iii) a brief explanation of the applicant’s background in (computational) linguistics and machine learning.

2) A research statement (project description) roughly within the frame of “multilingual NLP” of max. 2 pages (excl. references). This description should outline the applicant's thoughts and ideas on possible research directions within the context of the topic outlined above.

3) CV

4) Diploma and transcripts of records

5) Other relevant information

About the Department/Section/Group

The three PhD students will be working on Natural Language Processing (NLP) / Computational Linguistics within a project on typologically inspired multilingual NLP for low-resource languages. The project is funded by a Carlsberg Foundation Young Researcher Fellowship (‘Multilingual Modelling for Resource-Poor Languages’ CF21-0454). The physical location of these positions will be at the Copenhagen campus of Aalborg University. The Department of Computer Science features a broad range of synergistic activities within research and education in the general area of computer science, including curiosity-driven research and targeted research in collaboration with industrial partners, as well as traditional university education, with a unique problem- and project-based focus, and continued education and knowledge dissemination.

About the Employer:

Note or Other details

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

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Contact details

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Sofie Jensen, The Doctoral School at The Technical Faculty of IT and Design, email: [email protected], phone: +45 9940 3478.

Interested applicants are encouraged to contact the project’s principal supervisor, Associate Professor Johannes Bjerva, Department of Computer Science, e-mail: [email protected], regarding the scientific aspects of the position.

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