PhD Position Distributed & Adaptive radar for Drone Monitoring

17 Apr 2024
Job Information

Organisation/Company

Delft University of Technology (TU Delft)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

1 Jul 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We seek a motivated PhD student to work on a 4-year NWO funded project called DARE (Distributed and Adaptive Radar for Enhanced Sensing and Classification).

The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative nodes. The spatially distributed aspect will provide information from many partial viewpoints to reconstruct more detailed 3D signatures of the observed scenarios. The intelligent aspect will enable the radar to adapt its parameters and processing to the changes in objects’ behavior and environment, like in a sort of “chess game”. Hence, the intended scientific breakthrough is to formulate, implement, and validate the ‘distributed radar brain’ needed to establish and support this new sensing approach, combining spatially-distributed with adaptive capabilities in radar classification.

Specifically, in this project we work on the problem of monitoring multiple drones that might (or not) act as a coordinated swarm, which is a very timely problem for safety of public spaces and national assets such as airports or stadiums, not just in conflict scenarios but also for every-day monitoring. This problem is scientifically challenging, as drones are relatively small and highly manoeuvrable objects, not easy to track by means of radar sensing especially in an urban environment, and even less easy to understand their intent (e.g., whether they are just accidentally flown where they should not, or if there is an actual malicious intent). Distributed and adaptive radar techniques have the potential to improve our capabilities to monitor these situations, and we seek motivated students to take up this challenge.

During this PhD, you will work in the Microwave Sensing Signals and Systems (MS3) research group at the Department of Microelectronics of TU Delft. Being one of a few European radar groups in academia, this group has extensive research facilities and excellent track record on the full pipeline of microwave and radar sensing, from hardware development to signal processing and automatic object classification. Your direct working environment will include a large pool of PhD students of MS3 (please see our website: radar.tudelft.nl). You will also interact with the partner organizations that are part of the consortium of this project, all leading players in radar systems and related signal processing in the Dutch landscape and beyond. Moreover, in the same project another PhD vacancy is open, for the different application of monitoring human wellbeing.

Your main responsibilities will be to:

• Develop strategies to adapt the configuration of radars in a network and decide the best processing approaches as a function of the object behaviour and changes in the environment, which should be later translated into codes and databases.
• Formulate mathematical models for key radar parameters, feature extraction, and target identification/tracking for drones and drone swarms in heterogeneous radar networks.
• Experimentally validate methods using numerical simulations and in-situ observations.
• Collaborate with another PhD student within the same project to exchange knowledge, perform joint experiments and make sure all project objectives are met.
• Participate in knowledge utilization activities and dissemination of research findings, also including project partners.

Requirements
Specific Requirements

To be considered for this PhD position you should have:

• A Master's degree in electrical/electronic engineering, computer science, physics, mathematics or other related fields.
• Knowledge and interest in radar signal processing, preferably but not necessarily on classification techniques and distributed radar systems.
• Knowledge or at least some interest in machine learning, preferably techniques for management/adaptation of systems.
• Programming experience in MATLAB/Python or C/C++, preferably in relation to radar signal processing.
• A curiosity-driven mindset, the ability to learn new things and a passion for (doing) research. Evidences of innovative thinking and ability to generate new knowledge is an advantage.
• An open-minded personality for cooperation with colleagues and co-supervision of students.
• Willingness to help out with education related tasks (e.g., teaching assistance).
• Good English language and communication skills (written and oral) in order to closely cooperate with colleagues and students as well as write project documents.

Due to the envisaged cooperation with project partners, European (EU)/NATO nationality is an advantage.

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 .

Additional Information
Benefits

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.

Selection process

Are you interested in this vacancy? Please apply before July 1, 2024 via the application button and upload:

• Short motivation letter with an explanation for why you think you are suitable for this PhD position.
• Detailed CV with relevant grades (with the contact details of 2 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.

Please do not contact us for unsolicited services.

Additional comments

If you would like more technical information about this vacancy, please contact Dr Francesco Fioranelli ([email protected] ).

Website for additional job details

https://www.academictransfer.com/340347/

Work Location(s)

Number of offers available

1

Company/Institute

Delft University of Technology

Country

Netherlands

City

Delft

Postal Code

2628 CD

Street

Mekelweg 2

Geofield

Where to apply

Website

https://www.academictransfer.com/en/340347/phd-position-distributed-adaptive-ra…

Contact

City

Delft

Website

http://www.tudelft.nl/

Street

Mekelweg 2

Postal Code

2628 CD

STATUS: EXPIRED