Barkhausen Institut gGmbH: Research Associate “Adaptive and Energy-Efficient Wireless Communications

Barkhausen Institut gGmbH; Dresden; Vor Ort; EUR 53.000 - 75.000; Vollzeit

Benefits dieser Stelle

Flexible Arbeitszeiten

Unterstützung beim Umzug nach Dresden

Flache Hierarchien, cross-diziplinäre

Zusammenfassung

Das Barkhausen Institut sucht eine/n Research Associate für adaptive und energieeffiziente drahtlose Kommunikation. Die Position umfasst Systemsimulationen, die Entwicklung und Analyse von PHY-Algorithmen sowie die Umsetzung auf SDR-Plattformen.

Ziel ist die Optimierung von Energieverbrauch, Datenrate und Zuverlässigkeit in enger Zusammenarbeit mit RF-Forschenden. Sie verfügen über einen überdurchschnittlichen Abschluss in Kommunikationstechnik oder verwandten Bereichen, gute

Qualifikationen

• Above-average university degree in communications engineering, electrical engineering, computer science or related field; strong knowledge of digital communications and signal processing.
• Good programming skills in Python or MATLAB and interest in modelling and simulating wireless systems, as well as experimentally validating algorithms.
• Experience with energy or hardware models, SDR or C/C++ is desirable; you can develop your expertise in the others with us.

Aufgaben

• Development of system simulations covering transmitter, receiver and wireless channel, including models of energy consumption in signal processing and RF hardware, and hardware impairments.
• Development and analysis of PHY algorithms, for example for modulation, synchronisation, channel estimation and adaptive operating mode selection, subject to data rate, latency and reliability requirements.
• Joint system and component optimisation: investigation of waveforms, bandwidth and hardware operation using simulated or measured component characteristics in close collaboration with RF researchers.
• Implementation of selected algorithms on a software-defined radio (SDR) platform and reproducible measurements to validate models and transmission schemes; quantitative evaluation of energy efficiency, link performance and implementation effort, and publication of results with research and industry partners.

Kenntnisse

Digital communications

Signal processing

Python

MATLAB

C/C++

Team collaboration

Ausbildung

Diplom/Master oder PhD in Communications Engineering oder verwandtes Gebiet

Tools

Python

MATLAB

C/C++

Jobbeschreibung

The Barkhausen Institut performs research on the latest hardware, software and communication technologies and demonstrates their application in tomorrow's society. Our goal is to build a flexible and trustworthy IoT platform based on reliable electronics and secure communication methods.

The Wireless Connectivity and Sensing (WiCon) group investigates future wireless systems with a focus on security, reliability and sustainability. You will develop adaptive transmission schemes that adjust waveforms, signal processing and hardware operation to changing communication requirements. The focus is on modelling, system simulation and algorithms for energy-efficient communications. Together with RF researchers, you will investigate the interaction between communication systems and components and validate the results through SDR-based experiments.

At the earliest possible date we are looking for a

Research Associate “Adaptive and Energy-Efficient Wireless Communications” (m/f/d)

The position will initially be filled for a period of 2 years and will be remunerated in line with TV-L E-13. The position aims at supporting further academic qualification (e.g. PhD).

Responsibilities

• Development of system simulations covering transmitter, receiver and wireless channel, including models of energy consumption in signal processing and RF hardware, and hardware impairments.
• Development and analysis of PHY algorithms, for example for modulation, synchronisation, channel estimation and adaptive operating mode selection, subject to data rate, latency and reliability requirements.
• Joint system and component optimisation: investigation of waveforms, bandwidth and hardware operation using simulated or measured component characteristics in close collaboration with RF researchers.
• Implementation of selected algorithms on a software-defined radio (SDR) platform and reproducible measurements to validate models and transmission schemes; quantitative evaluation of energy efficiency, link performance and implementation effort, and publication of results with research and industry partners.

What we expect

• An above-average university degree (Diplom/Master or PhD) in communications engineering, electrical engineering, computer science or a related field; strong knowledge of digital communications and signal processing, with a focus such as PHY algorithms, modelling or system simulation.
• Good programming skills in Python or MATLAB and an interest in modelling and simulating wireless systems, as well as experimentally validating algorithms.
• Experience with energy or hardware models, SDR or C/C++ is desirable. Experience in some of these topics is sufficient; you can develop your expertise in the others with us.
• A collaborative and inclusive approach, excellent interpersonal and communication skills, and very good written and spoken English.

What we provide

• An open and creative team
• Agile working hours and workflows
• Cross-disciplinary projects
• Work on future technologies
• Flat hierarchies for your ideas and flexible teams
• Competitive salary
• Support for arriving in Dresden (all formalities, apartment etc.)

Our remuneration is based on the collective agreement for the federal states. If you meet all the professional requirements (diploma/master's degree or doctorate), this position is classified as TV-L E 13. Depending on your professional experience, the basic monthly salary ranges between €4.759,37 and €6.764,69. We will be happy to provide more details during the interview.

Life and science are compatible at our institute. We offer a range of recognised family-friendly measures, such as part-time work, mobile working and flexible working hours that take family needs into account. We also offer support for arriving in Dresden (all formalities, apartment etc.).

Barkhausen Institute strives for gender and diversity equality. We welcome applications from all backgrounds. Severely disabled persons are given preference in the event of equal suitability.

The data submitted by you in the course of the application procedure will be processed by the Barkhausen Institut (BI). BI shall use the data for the purposes of the application procedure. No data shall be passed on to third parties.

Schlagworte: IoT, Internet of Things, BI, Barkhausen Institut, Wireless Connectivity, system simulations, PHY algorithms, Python, C++, Communication system, Empfehlungsbund

Quelle/Bewerbung via: https://www.empfehlungsbund.de/jobs/306142/research-associate-adaptive-and-energy-efficient-wireless-communications-m-strich-f-strich-d

Kurzinfo zum Unternehmen

Das Barkhausen Institut ist ein international anerkanntes Forschungsinstitut, das die Brücke zwischen Grundlagenforschung und der praktischen Umsetzung der Vertrauenswürdigkeit vernetzter elektronischer Systeme schlägt.

Wir erforschen innovative Informations- und Kommunikationstechnologien, um die Vertrauenswürdigkeit für eine vernetzte Welt zu ermöglichen. Unser Fokus liegt auf Eigenschaften wie Integrität, Zurechenbarkeit, Authentizität, Verfügbarkeit und Datenschutz.

Neben unserer anwendungsorientierten Grundlagenforschung engagieren wir uns als Kooperationspartner und als Meinungsführer im Diskurs zum Thema Vertrauenswürdigkeit. Wir legen besonderen Wert auf eine professionelle Wissenschaftskommunikation und suchen den Dialog mit der Öffentlichkeit.