PhD position Distributed Sensor Fusion for Swarms

We live in a world of interconnected networks of autonomous sensing systems, catering to diverse applications in fields of automotive, satellites, robotics and many more. There are various challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed control and online decision making. These distributed systems will have to fuse a combination of batch, streaming and intermittently-available datasets (typically from multi-modal sensors), and make prudent inferences using minimal communication with neighboring nodes.  In view of energy-efficient solutions (i.e., minimizing both communication, processing and memory resource), these mobile systems will be autonomous and will rely heavily on on-board inference. In this project, the PhD candidate will focus on developing distributed multi-modal sensor fusion algorithms for hybrid datasets (batch, streaming and intermittently-available), with applications to distributed autonomous systems. In particular, statistically robust, probabilistic machine learning algorithms will be explored for time-varying graphs, which naturally arises in mobile autonomous systems, tackling challenges of PNT, distributed inference, control and learning.

You should have:

• A Masters degree in Electrical Engineering, Systems & Control, Engineering Physics, Applied Mathematics, or any field related to the lab’s research topics;
• A background in applied mathematics, particularly, linear algebra and probability;
• A solid understanding of statistical signal processing and distributed optimization;
• An experience in programming e.g., Python, MATLAB, Julia
• A good command of English (verbal and written);
• Excellent communication and interpersonal skills;
• Ability to work in a collaborative environment.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate can 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 Graduate Schools Admission Requirements.

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 Graduate Schools Admission Requirements .

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.

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.

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 values  and we actively engage  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!

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.

For more information about this vacancy, please contact Dr. Raj Thilak Rajan at [email protected]

Are you interested in this vacancy? Please apply by April 30, 2024, via the application button, and upload:

• A cover letter stating your motivation (max 1 page)
• A detailed curriculum vitae;
• Name and contact information of two professional referees;
• A list of courses taken with grades obtained in Bachelors and Masters degree;
• A list of publications (if any);
• A summary of Masters thesis.

The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.

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.

Please do not contact us for unsolicited services.