As novel applications emerge, the requirements on radar systems have grown significantly from being a blip on the radar , to providing an image like reconstruction of the surroundings.
Currently, multi-static and widely-separated MIMO radars offer multi-view perspective. However, these systems suffer from the need for high rate synchronization, lack of performance guarantees, minimal exploitation of advances in waveform processing and machine learning among others.
Thus, it is essential to go beyond the mature co-located MIMO and the current widely-separated MIMO radars towards achieving reliable imaging like performance for extended targets.
In fact, many of these networks, such as in the automotive scenario, can involve large number of dynamic nodes. This necessitates devising novel radar-
network architectures as well as exploring various optimization methodologies for waveform design, super-resolution parameter estimation and decentralized resource allocation.
This emerging field opens interesting avenues for pursuing research in radar signal processing, especially on
resolution parameter estimation as well as their adaptation to dynamic scenarios
The research associates will have further the opportunity to work towards in-lab demonstration of the developed techniques using USRP / SDR implementations.
The SIGCOM research group is in a unique position towards realizing the objectives of the project having exposure to radar signal processing through ongoing research projects, evolution of communication standards through participation and contribution as well as experience with prototype chip sets from the test-
bench development activity.
The successful candidates will join a strong and motivated research team lead by Prof. Björn Ottersten in order to carry out research in the area of signal processing for next generation radar systems.
The position holder will be required to perform the following tasks :
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Qualification : The candidate should possess (or be in the process of completing) a PhD degree or equivalent in Electrical / Electronics Engineering, Computer Science or Applied Mathematics.
Experience : The ideal candidate should have research project-based experience (FP7 / H2020, Industry) and publication record in a number of the following topics :
Exposure to USRP / SDR implementation and familiarity with FPGA programming is considered as an advantage. Development skills in one of the programming languages, MATLAB, LabVIEW or C++ are required.
Exposure to the latest radar technology and digital communications is desirable.
Language Skills : Fluent written and verbal communication skills in English are required.
The University offers a two-year employment contract that may be extended up to five years. The University is an equal opportunity employer.
You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.