Postdoc machine learning for autonomous drone navigation

Postdoc machine learning for autonomous drone navigation

Published Deadline Location
23 Jun 15 Jul Delft

Job description

Autonomous on-board drone navigation (i.e., without human intervention) in inaccessible environments is a fundamental challenge. The goal in this project is to develop novel machine learning algorithms for autonomous drone navigation in outdoor environments including localization and synchronization for BVLOS (beyond visual line of sight) scenarios and/or GPS-denied environments, by utilizing RF signals from fixed ground stations and/or in collaboration with other drones. This includes robust holistic 3D perception through sensor fusion of on-board sensors, for e.g., lidar, radar, camera, and inertial measurement units (IMUs), algorithms for detect and avoid using advanced machine learning for object detection, object classification, and ego-motion estimation. The proposed resource-constrained algorithms will be energy-efficient and robust for in-drone perception, cognition, and control.

The Postdoctoral (and PhD) positions are a part of the recently funded ECSEL-H2020 project named ADACORSA (Airborne data collection on resilient system architectures), with over 50 partners across Europe. The Circuits and Systems (CAS) group in the Faculty of EEMCS at TUD is one of the WP leaders (among 8) in this consortium, and will develop ground-breaking algorithms to realize efficient, robust, and data-fusion based cost-effective perception and control for autonomous drones. The overarching goal of this project is to provide technologies to render drones as a safe and efficient component of the mobility mix, with reliable capabilities in extended BVLOS operations.

The postdoctoral position (one year, with a possibility of extension) is a part of the ongoing ECSEL-H2020 project named ADACORSA (Airborne data collection on resilient system architectures), with over 50 partners across Europe. The Circuits and Systems (CAS) group is one of the WP leaders (among 8) in this consortium, and will develop ground-breaking algorithms to realize efficient, robust, and data-fusion based cost-effective perception and control for autonomous drones. The overarching goal of this project is to provide technologies to render drones as a safe and efficient component of the mobility mix, with reliable capabilities in extended BVLOS operations. CAS is one of the Department Microelectronics (ME) groups within the Faculty of EEMCS at TUD. The Postdoctoral candidate will work closely with various partners, to develop robust algorithms for sensor fusion and drone navigation (control)

Specifications

Delft University of Technology (TU Delft)

Requirements

We are looking for enthusiastic candidates that meet the following requirements.

  • PhD degree in a relevant area e.g., electrical engineering, computer science or aerospace
  • Strong background in mathematical modelling and algorithm development in statistical signal processing (and/or machine learning) with applications to navigation, localization, control systems, sensor fusion for e.g., camera, lidar, radar.
  • Strong experience in programming e.g., Python, MATLAB, R
  • Candidate is pro-active, and combine creativity with a sound academic attitude with good analytical skills
  • Excellent communication skills in English, both in writing and speaking
  • Good team-player, and able to work in a collaborative environment with the other PhD, group members, and consortium members in the project.
  • Strong management skills and planning skills

Conditions of employment

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.

Employer

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. 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! 

Department

Faculty Electrical Engineering, Mathematics and Computer Science

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.

Additional information

For more information, please contact Raj Thilak Rajan.

Specifications

  • Postdoc
  • Engineering
  • €2846—€4490 per month
  • Doctorate
  • TUD02458

Employer

Delft University of Technology (TU Delft)

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Location

Mekelweg 2, 2628 CD, Delft

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Application procedure

Are you interested in this vacancy? Please apply before July 8, 2022, via the application button and upload:

  • Curriculum vitae
  • Motivation letter (max. 1 page)
  • A detailed list of university courses with grades, and list publications (if any)
  • Contact details of at least 3 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.

Application procedure

Application procedure

Are you interested in this vacancy? Please apply before July 8, 2022, via the application button and upload:

  • Curriculum vitae
  • Motivation letter (max. 1 page)
  • A detailed list of university courses with grades, and list publications (if any)
  • Contact details of at least 3 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.

Make sure to apply no later than 15 Jul 2022 23:59 (Europe/Amsterdam).