You cannot apply for this job anymore (deadline was 25 Sep 2020).
Browse the current job offers or choose an item in the top navigation above.
Unmanned flying vehicles, or drones, are increasingly being seen as a suitable platform for a wide range of applications, from inspecting infrastructure and aerial photography, to parcel delivery, search and rescue, and many other applications. Unlike current-day manned aviation, many of these envisioned drone applications would involve operation in heavily-constrained urban airspace, and when successful, at extreme traffic densities, compared to current operations.
Currently, several large research efforts are formalizing the procedures and services that will be required for these operations (e.g., U-Space in Europe, UTM in the US). So far, these efforts have been focused on developing a set of baseline services which, when deployed, will enable low traffic density applications such as agricultural surveillance and infrastructure inspection. Urban, high-density operations, however, will require a different approach, and a degree of autonomy that does not yet exist in current-day air traffic management. As part of your PhD research, you will work in the EU-funded U-Space project Metropolis 2, which is coordinated by TU Delft. This project will develop a unified approach to airspace rules on the one hand, and flight planning and separation management approaches on the other hand, building further on the success of the seminal first Metropolis project. For this project there are two open PhD positions, one emphasising airspace design (extending the geovectoring concept), the other conflict resolution algorithm design (extending geometric methods such as MVP, using Velocity Obstacle theory). You will publish your results in leading, peer-reviewed journals. These publications will be combined in your final dissertation.
The first two years of your PhD will involve working in an international (EU-funded) consortium of universities, industry, and a research institute. This will give you the opportunity to cooperate with major players in drone research and industry and build an extensive network already during your PhD.
You will be working in the Control and Simulation (C&S) section of the faculty of Aerospace Engineering. The C&S section of the faculty of Aerospace Engineering aims to advance the development of autonomous control systems and combined human-machine systems in aerospace, building on a solid theoretical basis and physical insights while exploiting theoretical progress in adjacent fields, and to validate these systems experimentally in world-class facilities, effectively closing the loop between theory and practice.
C&S aims to be a leading research group in the integration, development and testing of new theories on control, autonomous and cognitive systems (with and without human elements).
The PhD positions are funded by the SESAR2020 Metropolis 2 project. You will be working in an international consortium, which means that good proficiency in the English language (spoken and written) is required. Furthermore, the position requires an MSc in Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of air traffic management, flight operations, as well as excellent programming (C++, Python, …) and mathematical skills. Preferably you also already have experience in writing scientific reports and papers.
Fixed-term contract: 4 jaar.
TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 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 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.
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 Aerospace Engineering at Delft University of Technology is one of the world’s most highly ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 250 PhD candidates and over 2,700 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge institutes, governments and industry, both aerospace and non-aerospace. Working in field labs and innovation hubs on our university campus and beyond.
Click here to go to the website of the Faculty of Aerospace Engineering.
We like to make it easy for you, sign in for these and other useful features: