Phd Position Extended Target Tracking&classification with Phased Array Radar

**PhD Position Extended Target Tracking&Classification with Phased Array Radar**:
**Job description**:
Climate change is a pressing issue that can drastically affect the ecosystem. Understanding the changes in weather in different parts of the globe is one of the significant steps that should be taken to address the issue of climate change.While the large-scale challenges are critical, focusing on local challenges driven by climate change requires immediate action. One such local challenge is the impact of severe precipitation events. These events affect many sectors, from agriculture to urban infrastructure, but a particularly critical area is aviation safety. Unpredictable and intense precipitation, such as heavy rain or snow, can disrupt flight operations and pose serious risks.

Radar technology has proven indispensable in detecting, tracking, and classifying severe precipitation events. It provides high-resolution data that is crucial for identifying and predicting severe weather. However, significant challenges remain, especially in accurately classifying precipitation types, detecting fast-evolving weather patterns, and optimizing radar systems for real-time response. This project addresses these challenges by improving radar-based detection and tracking methods using multiple beams simultaneously generated by the phased array radar PHARA.

The intended scientific breakthrough is to derive, implement, and validate a new type of rain classification algorithms which benefit from modern phased array technology.

**Responsibilities**:

- Conduct in-depth research on precipitation sensing with radar, staying abreast of the latest advancements and breakthroughs in the field.
- Extend existing simulator for precipitation sensing with a single beam radar to multi-beam radar and with its help study and compare performances of different beam topologies on precipitation characterization.
- Design new parameter extraction algorithms to satisfy project requirements.
- Verify theoretical results experimentally by PHARA radar.
- Contribute to the scientific community knowledge through high-quality publications.
- Collaborate with industry partners, academic institutions, and research organizations to stay connected with the latest developments and foster collaborative opportunities.
- Prepare and defend the Ph.D. thesis, which summarizes the results of the research.

**Microwave Sensing, Signals and Systems**

**Job requirements**:

- MSc degree in Electrical Engineering, Physics, or a related field
- Strong background in signal processing and estimation theory. Background in remote sensing with electromagnetic waves is appreciated.
- Proficiency in programming languages such as Python or MATLAB. Experience with simulation tools and software for electromagnetic analysis is appreciated.
- Excellent analytical and problem-solving skills.
- Effective communication and collaboration skills.

**TU Delft (Delft University of Technology)**:
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

Challenge. Change. Impact

**Faculty Electrical Engineering, Mathematics and Computer Science**:
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

, Mathematics and Computer Science.

**Conditions of employment**:
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service pr