Associate Researcher, Communication Technology job with TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
The Technische Universität Dresden (TUD), as a university of excellence, is one of the most important and dynamic research institutions in the country. Founded in 1828, it is today a leading university with a global vocation and rooted in the region, as it focuses on the great challenges of the 21st century. It develops innovative solutions for the world’s most pressing problems. 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 particularity, facilitating interdisciplinarity and the transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in education, research, technology and administration. The objective is to promote and develop their individual abilities while allowing everyone to reach their full potential. TUD embodies a university culture characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD, diversity is an essential characteristic and quality criterion of an excellent university. Accordingly, we welcome all applicants who wish to commit their achievements and productivity to the success of the entire institution.
At Faculty of Electrical and Computer Engineering, Institute of Communication Technologies, Chair of Information Theory and Machine Learningthe 6G-life Research-Hub “Digital transformation and sovereignty of future communication networks” offers three positions of
Research Associate (m/f/x)
(subject to personal qualification, employees are paid according to salary group E 13 TV-L)
departure as soon as possible. Positions are limited until August 14, 2025. The period of employment is governed by the Fixed-Term Research Contracts Act (Wissenschaftszeitvertrags-gesetz – WissZeitVG). The positions offer the possibility of obtaining an additional academic qualification (e.g. a doctoral/habilitation thesis).
Tasks: Research activities are in the field of wireless communications for future 6th generation (6G) communication systems with particular emphasis on information and communication theory, machine learning for communications, and security and confidentiality of information systems. Possible topics are:
- information-theoretical analysis of communication beyond the Shannon approach (Post-Shannon communication or semantic communication),
- new security concepts such as physical layer security,
- new communication and security approaches based on machine learning.
- All tasks are carried out in cooperation with partners from industry and science. The field of activity also includes the supervision of student work related to research topics. The results of the work must be published at international conferences and in recognized journals.
Terms: Above average university degree in the field of electrical engineering, communications engineering or information systems engineering, computer science, mathematics, physics or similar; in-depth knowledge of wireless communications, communications engineering and information theory; independent, goal-oriented and solution-oriented approach; assured fluency in written and spoken English. Knowledge of machine learning and programming languages such as Matlab, Python, C++ or TensorFlow is a plus.
More details about the 6G-life Research-Hub are given under www.6g-life.de.
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 service. We welcome applications from applicants with disabilities. If more than one applicant is found to be equally qualified, persons with disabilities or equivalent status under German Social Code IX (SGB IX) will be given priority for employment.
Please send your complete application accompanied by the usual documents by October 24, 2022 (the stamped arrival date of the university’s central mail service applies), preferably via the TU Dresden SecureMail portal https://securemail.tu-dresden.de by sending it as a single pdf document to [email protected] or to: TU Dresden, Fakultät Elektrotechnik und Informationstechnik, Institut für Nachrichtentechnik, Professur für Informationstheorie und maschinelles Lernen, Herrn Prof. Dr. Rafael Schaefer, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Costs incurred to attend interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further data protection information can be found on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
Please find the German version under: