Phd Position Exploiting Mmwave Radars and Machine
3 maanden geleden
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 operation of smart homes, buildings, and cities. For example, monitoring systems may need to report an intruder breaking into a house or request help for an elder person living alone that has fallen.
The challenge is that most monitoring systems rely on cameras and citizens are becoming increasingly concerned about their abuse by governments or corporations.
Together with a leading Dutch company, Signify, we aim at investigating monitoring platforms that cannot provide personalized information even if they are hacked.
Our work will use sensors such as mmWave radars that provide limited information to maintain privacy. This limited information will be combined with deep learning techniques to identify events of interest.
To achieve our goal, the research work will focus at the intersection of deep learning and embedded systems. We want to develop a system that is accurate but works with limited computational and energy resources.
The PhD research will include a holistic approach, including the design of the embedded system, the optimization of the machine learning models and the connection with the edge and cloud services.
**Requirements**:
The applicant should have a Master Degree in Electrical Engineering, Electronic Engineering, Computer Science, or a closely related field. A solid knowledge of embedded systems and/or deep learning is required.
The position demands a strong background to build new prototypes and perform experimental work. The successful applicant should have good English language proficiency and a team player personality.
Prior knowledge on mmWave radars is a plus but not required.
Conditions of employment
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2.872;
- per month in the first year to € 3.670;
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
Applicants need to submit the following documents in a single PDF:
- [Optional] Motivation letter.
- Curriculum vitae.
- Bachelor's and Master's transcripts (list of courses and grades).
The curriculum vitae should include:
- The names and contact information of at least two references, but no more than three.
- List of publications (if any).
- The rank of the attended universities. Provide a link support
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