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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointment from September 1st. 2025
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, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred. Stipend 2:Safety alignment in NLP models. Using Cybersecurity expertise
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at the Department of Computer Science at Aalborg University (AAU), Denmark. The position is temporary from 2025-09-01 to 2025-12-31. About the Data Engineering, Science and Systems (DESS) group: DESS research focuses
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. The main case will be generative AI for architecture visualization, and possibly computer vision for understanding buildings. Candidates for this stipend should have a background in software engineering or
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programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed on the extent, to which the applicant, has developed the academic discipline
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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academic production at an international level and experience from teaching at different levels. Including tests/exams, course/study programme management as well as contributions to the development
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, distributed algorithms, secure multiparty computation, and information theory. You are expected to speak and write in English at an academic level, and preferable also in Danish. Qualification requirements
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teaching at different levels. Including tests/exams, course/study programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed
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on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish: Copy of diplomas/transcripts List of written work