PhD Position Enhacing Security of Joint Communication and Sensing via Explainable ML – TU Delft – Delft

  • Delft

TU Delft

Job description

Are you interested in pushing the boundaries of 6G wireless communication and sensing in one of the top engineering schools in Europe? As a part of an international team, you’ll investigate new solutions for 6G systems. You’ll have the chance to work across disciplines on the latest challenges of wireless communication and sensing systems. Whether you have a theoretical background (optimization, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across disciplines, our team has joint projects with top international research institutions and industry leaders in telecommunications, including Nokia, Bosch, and NI. By joining our team, you benefit from a highly competitive salary, a state-of-the-art lab equipped with high-end SDRs, and a customized soft-skill training program, preparing you for your career beyond your Ph.D.

In addition the position includes two unique research visits:

  • Visiting Dr. Yang Miao at KU Leuven for 5 months
  • Visiting National Instruments (NI), Dresden for 3 months.

In the context of this PhD position, you have the chance to conduct a comprehensive security analysis of JCAS systems, emphasizing novel attack vectors leveraging network sensing capabilities, develop efficient security measures to counter adversarial attacks, and assess these mechanisms’ effectiveness using COTS routers or FPGA-based SDRs at TU Delft. In particular, you are encourage to delve into state-of-the-art explainable learning techniques to identify and remedy security threads within existing solutions.

Your home base will be the Embedded Systems group of TU Delft, where you will be supervised by Dr. Arash Asadi.

Requirements

We are looking for candidates with a background in at least one of the following domains in the context of wireless communications:

  • RF engineering/software-defined radios
  • Signal processing and radar
  • Mathematical modeling and optimization
  • Physical layer security

General requirements:

  • Excellent track record in Master’s and Bachelor’s degrees from a good university
  • Strong analytical and implementation skills
  • Strong programming skills (C, C++, MATLAB, Python)
  • Fluent in English (written and spoken)

Conditions of international mobility of researchers:

Researchers are required to undertake trans-national mobility (i.e., move from one country to another) when taking up the appointment. At the time of selection by the TU Delft, the candidate must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the recruitment. Short stays, such as holidays, are not taken into account.

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 .

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 €   2770 per month in the first year to €   3539 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.

T he 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   . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a    for partners and they organise events to expand your (social) network.

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  and we actively  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 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.

Click  to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

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