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Professor at University of Koblenz-Landau
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Research in Natural Language Processing (Analysis and Generation) with mildly context-sentive grammar formalisms: - Contextual Grammar - Performance Grammar - Tree Adjoining Grammar and Application of NLP techniques in: - Tutorial E-Learning systems for language teaching - Communication Aids based on Ambiguous Keyboards
Universität des Saarlandes
Dr. rer. nat., Natural Language Parsing with Tree Adjoining Grammars
January 1, 1984 – January 1, 1989
Universität des Saarlandes
Diploma (Dipl.-Inform.), Formal Languages
January 1, 1978 – January 1, 1983
University of Koblenz-Landau
Professor of Computational Linguistics & Artificial Intelligence
April 1, 1995 – Present
Universität Hamburg
Professor of Computer Science
October 1, 1990 – April 1, 1991
DFKI - The German Research Center for Artificial Intelligence
Project manager
July 1, 1989 – March 1, 1995
Saarland University
Researcher
April 1, 1985 – June 1, 1989
DIaLOGIKa GmbH
Free lancer
August 1, 1984 – June 1, 1986
Saarland University
Researcher
December 1, 1983 – March 1, 1985
Saarland University
Student Researcher
November 1, 1980 – October 1, 1983
Cultural Fit Analysis
The candidate's background is predominantly academic and research-focused, with significant contributions to theoretical and applied computational linguistics and AI. This profile aligns well with a research-heavy or academic environment. For a typical industry 'Software Engineer' role, the cultural fit might be challenging due to the lack of explicit modern software development experience, project diversity outside of academic research, and breadth of contemporary industry skills. The experience is highly specialized in NLP/AI research.
Soft Skills & Operational Fit
The candidate's long academic career suggests strong analytical thinking, problem-solving, and research capabilities. The roles as Professor and Project Manager indicate leadership, mentorship, and communication skills. However, the operational fit for a modern 'Software Engineer' role, which typically involves contemporary software development practices, agile methodologies, and specific programming languages/frameworks, is not directly evident from the provided data. The experience is heavily research-oriented rather than product development.