PhD Data-driven learning of interpretable nonlinear models for high-tech
High-tech systems are becoming ever more complex due to increased
requirements. Design and control of theses systems require accurate
mathematical models that describe their complex nonlinear dynamical behavior.
Engineers designing, building, and controlling these systems often have prior
system knowledge. They desire to impose properties, e.g., stability, on the
mathematical models and require these models to be interpretable.
This open PhD position aims to develop a framework that enables the
identification of nonlinear mathematical models with pre-specified properties
that are physically interpretable. To achieve this, the PhD candidate will
exploit recent developments from the fields of machine learning, tensor
algebra, system identification, and system theory to come to interpretable and
stable models of complex dynamical systems.
Study the literature of nonlinear system identification, machine learning,
tensor algebra, and system theory.
Development of interpretable, data-driven nonlinear modeling approaches
using tensor decompositions, nonlinear state-space identification
techniques, and constrained Gaussian Processes.
Analysis of the stability of the identified models in a time-efficient
Enforcement of the stability during the identification step.
Dissemination of the results of your research in international and peer-
reviewed journals and conferences.
Writing a successful dissertation based on the developed research and
Assume educational tasks like the supervision of Master students during
courses, internships, and graduation projects.
We are looking for a candidate who meets the following requirements:
You are a talented and enthusiastic young researcher.
You have experience with or a strong background in systems and control,
mathematics, and signal processing. Preferably, you finished a master's in
Systems and Control, Mechanical Engineering, (Applied) Physics,
(Applied) Mathematics, Computer Science, or Electrical Engineering.
You have good programming skills and experience (Matlab and/or Python are
You are organized, autonomous, a team player, and have strong
You are creative and ambitious, hard-working, and persistent.
You have good command of the English language (speaking Dutch is an
advantage but is not required).
Conditions of employment
A challenging job in a highly motivated team at a dynamic and ambitious
university and a stimulating internationally renowned research
A full-time temporary appointment for 4 years.
To develop your teaching skills, you will spend 10% of your employment on
To support you during your PhD and to prepare you for the rest of your
career, you will make a Training and Supervision plan and you will have
free access to a personal development program for PhD students (PROOF
A gross monthly salary and benefits (such as a pension scheme, pregnancy
and maternity leave, partially paid parental leave) in accordance with
the Collective Labor Agreement for Dutch Universities.
Additionally, an annual holiday allowance of 8% of the yearly salary, plus
a year-end allowance of 8.3% of the annual salary.
Should you come from abroad and comply with certain conditions, you can
make use of the so-called ‘30% facility', which permits you not to pay tax
on 30% of your salary.
A broad package of fringe benefits, including an excellent technical
infrastructure, moving expenses, and savings schemes.
Family-friendly initiatives are in place, such as an international spouse
program, and excellent on-campus children day care and sports facilities.
The TU/e is located in one of the smartest regions of the world and part of
the European technology hotspot “Brainport Eindhoven”, well-known because of
many high-tech industries and start-ups. A place to be for talented
Information and application
More information about the project can be obtained through the project's
supervisor: dr. Koen Tiels: https: // www. tue.nl/en/research/researchers/koen-
For information about terms of employment, click here or contact
Please visit www. tue.nl/jobs to find out more about working at TU/e!
We invite you to submit a compete application by using the “apply now”-button
on this page. The application should include:
A cover letter (stating personal goal and research interests connecting
to one or more of the topics defined above), maximum one page.
A complete Curriculum Vitae (including contact details of two references
and a list of publications, if any), maximum two pages.
Transcripts of BSc and MSc degrees.
All documents should be provided in pdf format. Please keep in mind you can
upload only 5 documents up to 2 MB each. If necessary, please combine files.
We do not respond to applications that are sent to us in a different way.