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Research Associate

vor 3 Monaten

Dresden, Deutschland Technische Universität Dresden Vollzeit

**Technische Universität Dresden** - **Faculty of Electrical and Computer Engineering, Institute of Communication Technology, Chair of Information Theory and Machine Learning**:

- Die Technische Universität Dresden (TUD) zählt als Exzellenzuniversität zu den leistungsstärksten Forschungseinrichtungen Deutschlands. 1828 gegründet, ist sie heute eine global bezogene, regional verankerte Spitzenuniversität, die innovative Beiträge zur Lösung weltweiter Herausforderungen leisten will. In Forschung und Lehre vereint sie Ingenieur
- und Naturwissenschaften mit den Geistes
- und Sozialwissenschaften und der Medizin. Diese bundesweit herausragende Vielfalt an Fächern ermöglicht der Universität, die Interdisziplinarität zu fördern und Wissenschaft in die Gesellschaft zu tragen. Die TUD versteht sich als moderne Arbeitgeberin und will allen Beschäftigten in Lehre, Forschung, Technik und Verwaltung attraktive Arbeitsbedingungen bieten und so auch ihre Potenziale fördern, entwickeln und einbinden. Die TUD steht für eine Universitätskultur, die geprägt ist von Weltoffenheit, Wertschätzung, Innovationsfreude und Partizipation.
Sie begreift Diversität als kulturelle Selbstverständlichkeit und Qualitätskriterium einer Exzellenzuniversität. Entsprechend begrüßen wir alle Bewerber:innen, die sich mit ihrer Leistung und Persönlichkeit bei uns und mit uns für den Erfolg aller engagieren möchten.
- Research Associate (M/F/x)

Research Associate (M/F/x)

starting as soon as possible. The position is limited until December 31, 2025 with the option of extension. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification.

**Working field**:

- As part of the research team in the Cluster of Excellence CeTI, the research activities are in the area of wireless communications with a particular focus on information and communication theory, machine learning for communications, and security and privacy of information systems. Your tasks include:

- development of novel communication and security approaches based on machine learning
- collaboration with the interdisciplinary group of researchers of CeTI to publish scientific contributions to show the possibility of fulfilling the vision of the excellence cluster.

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 the research topics. The results of the work are to be published at international conferences and in recognized journals.

**Requirements**:

- above-average university and, if applicable, PhD degree in the field of electrical engineering, communications engineering or information systems engineering, computer science, mathematics, physics or similar; profound knowledge of wireless communications, communications engineering, information theory; independent, goal
- and solution-oriented approach; confident command of written and spoken English. Knowledge of machine learning and programming languages such as Matlab, Python, C++, or TensorFlow is a plus.

**What we offer**:
**How to apply**: