Challenge: Design new algorithms for next-generation automotive radars in multi-user environments.
Change: Use advanced techniques from multi-dimensional optimization, distributed signal processing, and machine learning.
Impact: Enable situational awareness in dense radar environments.
Job description
Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure.
The PhD candidate will work on distributed signal processing on radar data using the communication backbone network. The goal is to exploit vehicular connectivity to enhance perception in mixed traffic conditions where vehicles have varied sensing capabilities.
The candidate will be embedded in the research group of Dr. Geethu Joseph and will have close collaboration with colleagues from the section Circuits and Systems and the department Microelectronics within the Faculty of EEMCS at the TU Delft and the Faculty of 3mE. The PhD candidates will also work in close collaboration with industry experts from NXP.
Candidates are also encouraged to look at another PhD vacancy: TUD02957 – PhD Position Robust Signal Processing for Next Generation Automotive Radars within the project SPEAR, in the group of Nitin Myers at 3ME.
Requirements
You should have:
- A Masters degree in Electrical Engineering, Systems & Control, Engineering Physics, Applied Mathematics, or any field related to the lab’s research topics;
- A background in applied mathematics, particularly, linear algebra and probability;
- A solid understanding of statistical signal processing and optimization;
- A background in radar and wireless communication is desirable, but not mandatory;
- An experience in programming e.g., Python, MATLAB, R
- A good command of English (verbal and written);
- Excellent communication and interpersonal skills;
- Ability to work in a collaborative environment
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.
Conditions of employment
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.
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.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
Faculty Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines – electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.
Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
The department Microelectronics (ME) focuses on microelectronics, microfabrication, signal processing, radar, and microwave systems. The research is clustered in three main themes: Health and Well-Being, Next-Generation Communication and Sensing, and Autonomous Sensor Systems. The department’s activities are highly multi-disciplinary, involving innovative combinations of device physics, material science, and chemistry, on the one hand, with signal processing, circuit, and system design, on the other. They are also multidisciplinary about their scope of applications, as they play a crucial role in nearly all fields of innovation, ranging from advanced health care to telecommunications and smart grids.
Additional information
For more information about this vacancy, please contact Geethu Joseph at G.Joseph@tudelft.nl or Nitin Myers at N.J.Myers@tudelft.nl.
For information about the application procedure, please contact Marjolein van der Heijden, HR Advisor, M.F.E.vanderHeijden@tudelft.nl
Application procedure
Are you interested in this vacancy? Please apply by January 31, 2023, via the application button, and upload:
- A cover letter stating your motivation (max 1 page) and mentioning your preferred project (distributed signal processing or waveform design);
- A detailed curriculum vitae;
- Name and contact information of two professional referees;
- A list of courses taken with grades obtained in Bachelors and Masters degree;
- A list of publications (if any);
- A summary of Bachelors and Masters thesis.
The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.
A pre-employment screening can be part of the selection procedure.
You can apply online. We will not process applications sent by email and/or post.
Acquisition in response to this vacancy is not appreciated. FACULTY/DEPARTMENT
Faculty of Electrical Engineering, Mathematics & Computer Science
JOB TYPE
PhD
SCIENTIFIC FIELD
Engineering
HOURS PER WEEK
36-40
SALARY
€ 2.541,00 – € 3.247,00
DESIRED LEVEL OF EDUCATION
University graduate
VACANCY NUMBER