Junior Research Groups

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig. It is one of five new AI centers in Germany funded under the federal government’s AI strategy and is established as a permanent research facility.

To promote research excellence in the field of AI and data science, ScaDS.AI supports early career research group leaders in this field that complement and extend our current research areas.

We are offering thematic and open topics calls to explore AI-based learning at TU Dresden:

Junior Research Group “AI-based Coaching of Students” (JRG 001)

The applicants should demonstrate research in intelligent interactive systems or adaptive user interfaces for coaching learners using machine learning. Through coaching self-directed learning with AI support can improve learning behavior and learning outcomes. Focus is on developing ambient intelligent user interfaces to include a conversational paradigm based on multimodal language models for learners attending a degree program in higher education. Experience with diversity of learners having sensory or cognitive needs and AI-based modelling of such user needs for multimodal interaction should be demonstrated as well as demonstrable ability to plan and manage independent research. Requirements include a Ph.D. (or equivalent) degree in Human-Computer-Interaction.

More Information and Application:
https://tu-dresden.de/stellenausschreibung/9598

Junior Research Group “Situating AI-based Mentoring” (JRG 002)

The applicants should demonstrate research work on interactive and/or AI-based systems in situated teaching and learning processes (in formalized education or another area of knowledge cooperation). These can include, for example, working with learning progress data and their individualized ad hoc interpretation in real time, in the context of impact-based pedagogical interventions via different (mobile, physiological, graphic, physical, etc.) interfaces. Applications can be found, for example, in the form of AI-supported learner evaluation, as a comparison between learning and knowledge levels, when using process-accompanying data on learning activity.

Other fields of work concern trustworthy infrastructure when working with learner data, in the sense of an open learning record store. The question of possible “new” data types relating to the generation of data through data and their use at meta and micro level is also being researched.

The overarching focus can be the disadvantage-free AI-supported design of the teaching and mentoring processes and their evaluation on the basis of process data, related to both human and machine learners, and follows up on current ethical debates.

More Information and Application:
https://tu-dresden.de/stellenausschreibung/9599

Junior Research Groups (JRG 003 – JRG 007)

In addition, up to nine positions will be offered for junior research group leaders, up to five groups in Dresden (JRG-003 – JRG-007) and up to four groups in Leipzig.

More Information and Application at TU Dresden:
https://tu-dresden.de/stellenausschreibung/9600

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut