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PhD Position Signal Processing for Nonlinear Waves

Research / Academic
Delft

Nonlinear waves are of broad interest in engineering, the natural sciences and mathematics. They occur in diverse application areas such as optics, ocean science, traffic flow or materials science. In recent years, signal processing methods for nonlinear waves that used to be mainly of theoretical interest have started to get attention in several application fields. This PhD project aims to further this process.
We are looking for a PhD student with a background in an engineering discipline, physics or mathematics to work in the area of signal processing for data governed by nonlinear wave equations. The position can be focused either on the development of novel methods, or on the exploration of new applications. The candidate should have a relevant background such as, for example, numerical methods, signal processing, machine learning, or an application field related to nonlinear waves.
The current methodological focus in our group is on a) spectral data analysis approaches for nonlinear systems such as nonlinear Fourier analysis and Koopman operator methods, and b) machine learning approaches. We are interested both in the development of new methods and in the exploration of new applications, currently in the areas of optical communications and coastal and ocean engineering.
The precise topic of the project will be developed together with the candidate, where the background of the candidate will be taken into account. Alternative methods or application areas can be considered.
The department Delft Center for Systems and Control (DCSC) of the faculty Mechanical, Maritime and Materials Engineering, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, renewable energy, robotics and transportation systems.

Requirements:

  • Master degree in a relevant engineering discipline, natural science or mathematics. Candidates that are close to obtaining their degree can be considered as well.
  • Good command of the English language. 
  • Experience related to the topic, for example, in numerical methods, signal processing, machine learning, or an application field related to nonlinear waves.
  • Good programming skills (for example in Python, Julia, Matlab or C) are a plus.

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.

Salary 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 € 2443 per month in the first year to € 3122 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.

Work Hours:

36 - 40 hours per week

Address:

Mekelweg 2