Sort by
Refine Your Search
-
We combine research in psychology and human-computer interaction to address mental health issues in young people through conversational AI. Specifically, we seek to strengthen identity through
-
, 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
-
, 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
-
. 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
-
technologies Programming skills in C++/Python and familiarity with ROS is a plus Background in human factors or human-in-the-loop systems is beneficial PhD Stipend 3: Computer Vision and Multimodal Sensing
-
closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine
-
. Including tests/exams, course/study 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
-
, to various qualitative methods; also emphasizing the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and
-
of musicology and be capable of teaching several modules within the music program. The primary teaching responsibilities will include one or more of the following subject areas: music and sound production, music
-
interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT2 on Physics-based