6 Research Associates - Dresden, Deutschland - Technische Universität Dresden

Technische Universität Dresden

Geprüftes Unternehmen

Dresden, Deutschland

vor 1 Woche

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. lt
develops innovative solutions for the world's most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD embodies a
university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation
and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.

The
School of Embedded Composite AI (SECAI), a
DAAD Konrad Zuse School of Excellence in

Artificial Intelligence in cooperation with
Leipzig University offers
six positions as

Research Associate / PhD Student (M/F/x)***starting
September 1, 2024. The positions are limited to 3 years. The period of employment is
governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).
The positions offer the chance to obtain further academic qualification (usually PhD). Balancing family

Topics and Work Location:
Researchers of several disciplines are collaborating in SECAI on advancing
AI. The spectrum of available topics ranges from core areas of computer science and electronics over
-
_Composite AI:__ How can machine learning and symbolic AI methods be combined?_
-
_AI

Compute Paradigms:
__ How will future AI hardware look and how will it be used?_
-
_

Intelligent Medical Devices:
__ How can AI advance cybermedical systems?_
-
_AI Methods for Health:__ How can AI methods support therapy and diagnostics?_
-
_Societal Framework of AI:__ How can AI become trustworthy and free of legal risks?_

The location of work (Dresden or Leipzig) depends on the topic assigned for each position. Information

Tasks:
As a member of the SECAI graduate school, you are answering challenging research questions
under the supervision of leading researchers and together with other teams members from Dresden
and Leipzig. You develop your own research profile, publish and present your findings are
international venues, and network with the international research community.

Requirements:
very good research-oriented university degree in a discipline that is relevant to
SECAI's research fields (e.g., computer science, mathematics, electronics, medical devices,
bioinformatics, or law); fluency in English. Creativity, taking pleasure in research, and a sense for
research quality and ethical behavior in research are an advantage. Please specify for which of the

Opportunities:
SECAI offers a first-class environment for advancing your career. You can work with
internationally renowned researchers and benefit from the school's strong networks in industry and
research. The graduation of highly qualified researchers is a central project goal in SECAI and doctoral
students receive strong support for their professional and personal development.

TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

Theoretische Informatik, Professur für Wissensbasierte Systeme, Herrn Prof. Dr. Markus

Krötzsch, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your
upon prior invitation.

Reference to data protection:
Your data protection rights, the purpose for which your data will be processed,