Dr. Marco Kuhlmann

Professor

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Biography

Marco Kuhlmann is a Professor at Linköping University, where he leads the Natural Language Processing Group. His research focuses on various aspects of natural language processing (NLP), particularly the development of new algorithms for natural language understanding. Kuhlmann combines concepts from theoretical computer science and machine learning to address practical challenges in human language technology and text mining. He has contributed significantly to the understanding of semantic parsing and has developed fundamental algorithms that are widely used in the field. Among his recent projects, he collaborates with Chalmers University of Technology and Recorded Future to advance the interpretation and integration of contextualized language representations. Beyond research, Kuhlmann is passionate about teaching, believing in making complex subjects accessible and motivating students in their learning. He has taught courses related to NLP and machine learning across several academic programs at the University, is involved in community engagement through events like the European Researcher's Night, and actively contributes to discussions on the societal implications of advancements in AI and language models.

Research Interests

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.