Assistant Professor in Applied Natural Language Processing

1 week ago


Århus, Århus Kommune, Denmark Aarhus University Full time
Assistant Professor in Applied Natural Language Processing

The Department of Management at Aarhus BSS, Aarhus University, invites applications for an assistant professor position in the field of Applied Natural Language Processing.

Application link: Apply Here

The assistant professorship is an open-ended tenure-track position with a tenure review in four to five years, transitioning to a position as associate professor after a positive assessment. The starting date is May 1, 2025, or as soon as possible hereafter subject to mutual agreement.

The ideal applicant will be part of the Department of Management on the tenure track and part of TEXT, a new Center of Excellence funded by the Danish National Research Foundation. The applicant will split their research time on two of TEXT's work packages: one focusing on formal linguistic analyses and one focusing on implementing and testing practical applications of Large Language Models in educational, research, and business contexts. All teaching and supervision activities will take place at the Department of Management.

We expect you to teach and supervise students at the Bachelor's and Master's levels and to carry out individual and group-based research of the highest international standard, contributing to the development of the academic field in question.

The department especially welcomes applicants who can teach and supervise in the following areas:

  • Coding
  • Data Analysis
  • Natural Language Processing
  • Practical applications of Large Language Models

Qualifications

To qualify for the position as assistant professor in Applied Natural Language Processing, you must hold a relevant PhD or have equivalent qualifications.

Applicants should possess a strong academic background with a relevant PhD degree or equivalent qualifications in Computational Linguistics, Cognitive Sciences, Learning Sciences, Computer Science, or a related field. The ideal candidate will have the following qualifications:

  • A promising record of research in Applied Natural Language Processing, as evidenced by publications in reputed international journals and conferences.
  • A clear and well-developed strategy for future high-quality research, aligning with the objectives of TEXT's work packages.
  • Teaching experience or demonstrated potential for excellence in teaching, course management, and student supervision in the areas listed above.
  • An interest in engaging with industry and society, promoting dialogue with practitioners, and exploring practical applications of language technologies.
  • A track record of or demonstrated potential for attracting external research funding.
  • Evidence of scientific leadership or a strong potential for it, reflected in abilities such as managing research projects, engaging in collaborations across disciplines and with industry, and participating in international networks.

For non-Danish speakers, a willingness to acquire a reasonable knowledge of the Danish language within three years. The department will provide support for learning Danish during the first two years of employment.

As this is an assistant professor position on tenure track, we value potential and promise as much as proven track records. We encourage early-career researchers with a strong foundation in Applied Natural Language Processing to apply.

Who we are

The Department of Management is one of the six departments at Aarhus BSS, one of the five faculties at Aarhus University. Aarhus BSS unites the research fields of business and social sciences bringing them closer together to reflect the close relationship between society and the business community. As part of a Top-100 university, Aarhus BSS, and specifically the Department of Management, has achieved the distinguished AACSB, AMBA, and Equis accreditations.

The department's research and teaching environment is highly international and culturally diverse with a mix of Danish and international academic staff members and PhD students. We employ more than 160 academic staff including researchers, PhD students, research associates and cover a broad range of disciplines within management. We aim to conduct high-quality research and prioritize publishing our research in leading academic journals and presenting it at recognized conferences.

For more information about the Department of Management, please visit: Department of Management.

About the Center for Contemporary Cultures of Text

The Center for Contemporary Cultures of TEXT, launching on May 1st 2025, focuses on understanding the impact of large language models (LLMs) and AI on writing cultures during this pivotal moment in history. The center will address challenges confronting several academic disciplines and society at large.

For more information about TEXT, please visit: Center for Contemporary Cultures of Text.

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