Phd Position Robust Ml-driven Mmwave Communication

3 maanden geleden


Delft, Nederland TU Delft Voltijd

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



  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    PhD Position in Robust ML-Driven mmWave Communication and SensingAre 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...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job Description TU Delft is seeking a PhD researcher to work on a project that aims to design privacy-aware monitoring systems using mmWave radars and machine learning. The project is a joint collaboration with Signify, a leading Dutch company. The PhD researcher will focus on developing a system that monitors a given area in a privacy-preserving manner,...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionPhD Position in mmWave Radar and Machine Learning for Privacy-Aware Monitoring SystemsWe are seeking a highly motivated PhD researcher to join our team at TU Delft to work on a PhD project that focuses on designing privacy-preserving monitoring systems using mmWave radars and machine learning. The project aims to develop a system that monitors...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Exploiting mmWave Radars and Machine Learning to Design Privacy-Aware Monitoring Systems- PhD position on Embedded Systems & Machine Learning. Job description Your research goal will be to create a system that monitors a given area but in a privacy-preserving manner (without using cameras). Monitoring is central to the efficient and safe...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionPhD Position Safe Learning for Interconnected SystemsWe are seeking a highly motivated PhD researcher to work on developing algorithms and techniques for Safe Learning (SL) in Large Interconnected Systems. This is a unique opportunity to contribute to the development of the next generation of AI tools that are safe, robust, and prompt in...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionAs a PhD researcher at TU Delft, you will be part of a team investigating monitoring platforms that prioritize privacy. Our goal is to design a system that monitors a given area without compromising individual privacy. We aim to achieve this by leveraging mmWave radars and machine learning techniques.Key Responsibilities:Design and develop a...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Validating Automatically Generated Code- - Make the code generated by AI more robust: Exploring the techniques for validating the automatically generated code._ Job description AI-powered coding tools are set to revolutionize how we develop software. These AI tools are based on machine learning (ML) models trained on massive collections of...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Safe Learning for Interconnected Systems- Job description The successful applicants will work on algorithms and techniques to make Safe Learning (SL) for Large Interconnected Systems a reality. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those in future (6G and beyond)...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job Description TU Delft is seeking a highly motivated PhD candidate to work on a project focused on scalable graph learning. The project aims to identify the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. The successful candidate will have the opportunity to contribute to the development of novel graph learning...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Signal Processing for Low-power Digital Radars- **_Challenge: Design waveforms and develop receiver algorithms for low-power radars._** **_ Impact: Enhance detection performance of low-power automotive radars._** Job description Currently, automotive radars use fully digital receiver architectures with up to 16 antennas. While increasing the...


  • Delft, Nederland TU Delft Voltijd

    PhD position Classification, Modelling and Parameterisation of Tall Wind Profiles- Job description The energy transition necessitates a substantial expansion of wind energy, requiring a six-fold increase in the current installed wind energy capacity. Increased turbine sizes with larger rotor diameters that capture more wind power are an important cost...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Embedded AI for 6G Networks- Join the Dutch 6G flagship project to help shape the future of communications! Job description 6G networks will utilise frequencies from sub 6 GHz to mmWave and THz bands, thereby substantially increasing the number as well as the heterogeneity of the required base stations. This complexity is further exacerbated...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Impact of Demographic and Societal Developments on Police Operations- Teaser **_Challenge_**_: Developing models geared to decision-making under deep uncertainty._ **_ Change_**_: Leveraging different scopes in system dynamics modelling._ **_ Impact_**_: Enabling decision-making geared to long-term police strategies and policies._ Job...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Data-Efficient Machine Learning for Context-Sensitive Affective Computing- **_Challenge: Explore context-sensitivity of affect detection and data-efficient algorithms addresssing it._** **_ Impact: Increased performance and robustness in real-world settings (e.g. healthcare)._** Job description We seek a PhD student interested in working with...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Effective Metadata Management for Data-Driven Plant Resilience Enhancement- **_Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning!_** Job description This exciting opportunity will involve analyzing the research gaps for establishing effective...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionWe are seeking a highly motivated PhD researcher to join our team at TU Delft in the field of luminescent materials research. The successful candidate will work on developing new luminescent materials for electricity generating windows, with a focus on solid state physics and optics.Key Responsibilities:Conduct research on luminescent...

  • Phd Position Immersive Lab

    2 maanden geleden


    Delft, Nederland TU Delft Voltijd

    PhD Position Immersive Lab- **_Immersive Data Visualization and Virtual Environments._** Immersive technologies, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), can transform how we perceive, interact, and communicate with the world and each other. Job description The Immersive AI Lab will be structured around several...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Explainable Reinforcement Learning for Maintenance Planning under Uncertainty- Improve safety in aviation by developing explainable AI systems that optimize maintenance planning under uncertainty. Job description The goal of this PhD is to harness the power of Reinforcement Learning (RL) to enhance air transport planning under uncertainty. It...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Enhancing Plant Resilience through Biologically-Inspired Machine Learning- Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning! Job description The project is part of the Crop-XR program, a highly collaborative 10-year national initiative of...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Physics-Based and Experimental Data-Driven Cardiovascular Disease Modeling- **_Drive forward the field of in silico medicine by leveraging physics-based and experimental data-driven techniques to improve our understanding of the ageing cardiovascular system._** Job description Cardiovascular disease remains a leading cause of morbidity and...