Postdoc Radar Sensing

We have the ambition to investigate innovative techniques for separation and tracking of multiple persons in an indoor environment using radar systems. Information on what activities a person is doing, where, and when, can help understand his/her physical and cognitive status and identify anomalies possibly related to worsening health.

Why radar? Radar has the advantage of being contactless, requiring end-users not to wear any extra device or interact with them, hence increasing comfort and compliance, as well as not recording plain optical videos or images, which might raise privacy objections, especially in private home environments.

While radar sensing in the context of human activity recognition (HAR), assisted living, and indoor monitoring has been explored in recent years, considerable challenges remain, especially in a multi-target scenario.

You will work in a joint project between TU Delft and a leading industrial partner in communication and sensing technologies. You will investigate algorithms for separation and clustering of micro-Doppler signatures of multiple persons, and for tracking and maintaining labelling in the event of grouping and spawning (essentially, “who is who” before/after very close meeting up of multiple persons).  

You will be also responsible for

• Formulating novel algorithms for the abovementioned problem of separation and tracking of multiple persons.
• Experimentally verifying methods with short-range radars.
• Performing research according to the project plan.
• Preparing and writing all project deliverables within the project.

You will work in the Microwave Sensing Signals and Systems (MS3) research group at the Department of Microelectronics (see radar.tudelft.nl). The group has extensive research facilities and track record on the full pipeline of microwave and radar sensing, from hardware development to radar signal processing and methods for automatic object classification.

To be considered for the position you will have:

• A PhD degree in a relevant field, i.e. electrical/electronic engineering, computer science, physics, mathematics.
• Demonstrable knowledge and interest in radar signal processing, preferably in the area of tracking and/or micro-Doppler signatures.
• Programming experience in MATLAB/Python or C/C++, preferably combined with experience in working with actual radar systems and data.
• Strong communication skills in both written and oral English
• A curiosity-driven mindset and a passion for (doing) research
• An open personality for cooperation with colleagues and co-supervision of students
• Good English language skills in order to closely cooperate with colleagues and students as well as write project documents.

European (EU) nationality is an advantage.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount 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. An International Children's Centre offers childcare and there is an international primary school.

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 and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

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.

If you would like more technical information about this vacancy, please contact Dr Francesco Fioranelli or Prof Alexander Yarovoy .

Are you interested in this vacancy? Please apply before February 1, 2023 via the application button and upload a short motivation letter with evidences on your ability to perform research and a detailed CV with contact details of two referees.

• 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.

We have the ambition to investigate innovative techniques for separation and tracking of multiple persons in an indoor environment using radar systems. Information on what activities a person is doing, where, and when, can help understand his/her physical and cognitive status and identify anomalies possibly related to worsening health.

Why radar? Radar has the advantage of being contactless, requiring end-users not to wear any extra device or interact with them, hence increasing comfort and compliance, as well as not recording plain optical videos or images, which might raise privacy objections, especially in private home environments.

While radar sensing in the context of human activity recognition (HAR), assisted living, and indoor monitoring has been explored in recent years, considerable challenges remain, especially in a multi-target scenario.

You will work in a joint project between TU Delft and a leading industrial partner in communication and sensing technologies. You will investigate algorithms for separation and clustering of micro-Doppler signatures of multiple persons, and for tracking and maintaining labelling in the event of grouping and spawning (essentially, “who is who” before/after very close meeting up of multiple persons).  

You will be also responsible for

• Formulating novel algorithms for the abovementioned problem of separation and tracking of multiple persons.
• Experimentally verifying methods with short-range radars.
• Performing research according to the project plan.
• Preparing and writing all project deliverables within the project.

You will work in the Microwave Sensing Signals and Systems (MS3) research group at the Department of Microelectronics (see radar.tudelft.nl). The group has extensive research facilities and track record on the full pipeline of microwave and radar sensing, from hardware development to radar signal processing and methods for automatic object classification.

To be considered for the position you will have:

• A PhD degree in a relevant field, i.e. electrical/electronic engineering, computer science, physics, mathematics.
• Demonstrable knowledge and interest in radar signal processing, preferably in the area of tracking and/or micro-Doppler signatures.
• Programming experience in MATLAB/Python or C/C++, preferably combined with experience in working with actual radar systems and data.
• Strong communication skills in both written and oral English
• A curiosity-driven mindset and a passion for (doing) research
• An open personality for cooperation with colleagues and co-supervision of students
• Good English language skills in order to closely cooperate with colleagues and students as well as write project documents.

European (EU) nationality is an advantage.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount 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. An International Children's Centre offers childcare and there is an international primary school.

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 and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

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.

If you would like more technical information about this vacancy, please contact Dr Francesco Fioranelli or Prof Alexander Yarovoy .

Are you interested in this vacancy? Please apply before February 1, 2023 via the application button and upload a short motivation letter with evidences on your ability to perform research and a detailed CV with contact details of two referees.

• 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.