Phd Position Robust Ml-driven Mmwave Communication
3 maanden geleden
PhD Position Robust ML-Driven mmWave Communication and Sensing in Smart Environments-
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:
- Visit to Prof. Yasaman Ghasempour's lab at Princeton University for 5 months
- Visit to Nokia Bell Labs, Stuttgart for 3 months.
This PhD position focuses on "robust mmWave communication and sensing in smart environments". The PhD position involves developing algorithms to detect and track objects using Doppler shift and Angle of Arrival (AoA) analysis of Channel State Information (CSI) at mmWave receivers, dynamically configuring and allocating Reconfigurable Intelligent Surface (RIS) elements for optimizing sensing and communication tasks, and evaluating solution performance on TU Delft testbed facilities.
Your home base will be the Embedded Systems group of TU Delft, where you will be supervised by Dr. Arash Asadi.
**Requirements**:
- 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:
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 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 Dual Career Programme 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.
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 here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Additional information
Application procedure
- Resume/CV including:
- your educational and research background;
- professional skills;
- list of publications, and
- two reference letters.
- Copies of your BSc en MSc degrees and transcripts.
- Names and contact information of at least th
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