Netherlands: PhD in Radar Imaging
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. The faculty offers an interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future.
Our group educates and performs theoretical and experimental research over a complete chain of wireless systems for remote sensing and navigation, ranging from electromagnetic waves radiation, propagation and scattering through analogue and digital microwave signal processing to detection, positioning and tracking, navigation, classification and imaging of objects in complex environments.
Job description
The proposed research addresses the design, evaluation and experimental validation of new ultra-wideband radar imaging techniques for the reliable detection and location of targets in front of tunnel-boring machines.
The candidate will be responsible for the folowing activities:
- Performing research according to the project plan,
- Preparing and writing all project deliverables for which MS3 is responsible,
- Developing theory for short-range, forward-looking imaging with sparse arrays,
- Experimentally verifying theory with short-range UWB data,
- Developing and analysing the algorithm(s) for non-ambiguous detection of small/weak moving targets in clutter, with adequate waveform coding and processing,
- Developing and analysing practical algorithm(s) for angular resolution of multiple extended targets.
The performance of this technique will be evaluated in simulations and validated with signals measured with real radar research platforms.
The expected results should cover a broad range of applications, such as situation awareness in defence and security applications, traffic control radars - both automotive and infrastructure-based (mounted on highways, crossroads, bridges), and remote sensing applications using SAR. The project has triggered interest in the Dutch industry, which will participate in the research and contribute to the study by making operational radars available for the data acquisition, thus complementing the available radars at TU Delft. The researcher will work in a very international team connected to the main academic and industrial actors in the field.
Requirements
The applicant should have an MSc degree with a background in electrical engineering, physics, computer science or mathematics and preferably strong knowledge of and interest in radar systems and numerical methods. Programming experience in C/C++ and/or MATLAB is expected; experience in working with radar performance estimation will be an advantage. Strong communication skills for interaction with the other members of the project’s team are expected. The researcher should have an open personality and good English language skills in order to closely cooperate with colleagues and students as well as write project documents. European (EU) nationality is an advantage.
Conditions of employment
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
Information and application
For more information about this position, please contact Prof. A. Yarovoy, phone: +31 (0)15-2782496 e-mail: A.Yarovoy@tudelft.nl. To apply, please e-mail a detailed CV along with a letter of application by 31 January 2013 to L.M. Ophey, HR-EEMCS@tudelft.nl. When applying for this position, please refer to vacancy number EWI2012-36
Application Deadline: 31 January 2013
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