The Communications Engineering Lab at Technische Universität Darmstadt, Germany invites applications for a
Research Assistant (Ph.D. Position) in Machine Learning Techniques for Wireless Communications Systems
initially limited to a period of three years.
At the Communications Engineering Lab, we are engaged in research and teaching on wireless communication methods for future mobile radio and sensor networks.
In future wireless communication networks for the Internet of Things, Smart Cities, Industry 4.0 or autonomous driving, an extremely high amount of heterogeneous devices, such as smartphones, sensors, robots and vehicles, will communicate with each other. As a consequence, the need for higher data rates and lower latency will increase significantly, posing major challenges for the resource allocation.
Conventional approaches only consider the optimal allocation of communication resources in time, frequency and space (beamforming, massive MIMO). However, future wireless networks must be seen as complete systems with distributed and networked communication, computing and storage resources. In this project, the allocation of all the resources in the wireless communication system, i.e., its communication, storage and computing resources, shall be jointly optimized. The goal is to improve the overall performance of the system, e.g., in terms of throughput, latency or energy efficiency. For this purpose, machine learning methods shall be applied, which can adapt to the dynamic changes of the wireless communication system and its environment and exploit the past experience to improve the future performance of the system. On the one hand, the design and optimization of the physical layer will be investigated using machine learning techniques. On the other hand, machine learning will be leveraged to perform network demand planning based on predicted future data traffic and user demands.
Besides the research in the above mentioned field, the participation in teaching and general administration work of the lab is expected.
- Master of Science (M.Sc.) degree with very good performance in Electrical Engineering and Information Technology or related areas like Computer Science or Mathematics with technical focus.
- Sound knowledge in one or several of the following areas: communications engineering, signal processing, communication networks.
- Excellent skills in programming and in the simulation of communication systems, i.e. using Matlab or Phython.
- Good command of English and German.
- Experience in teaching is advantageous.
- High commitment, ability to work independently and in a team.
- Willingness to supervise Bachelor and Master Theses.
- Willingness to cooperate with partners of science and industry.
What we offer
We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of engineering and computer science. The research assistant will be embedded in the ongoing collaborative research activities and will hence have the opportunity to interact with many other researchers. The conducted research is expected to culminate in a Ph. D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops.
Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.
The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.
We look forward to receiving your application, consisting of a cover letter in which you rationalize your interest in the indicated research area, curriculum vitae, copies of transcripts and certificates, and contact details of two academic references, mentioning the code number. Your application package should be sent as a single PDF-file to Prof. Dr.-Ing. Anja Klein, email@example.com.
Code No. 615
Published on: January 24, 2019
Application deadline: March 03, 2019