PHD Position Numerical Analysis

PhD Position Numerical Analysis (Delft, NL, 2628 CD)

Delft University of Technology (TU Delft)

Intern

Posted on Sep 28, 2026

What if a simulation did not just approximate physical laws, but obeyed them exactly? Join us to design structure-preserving fast FEM solvers for time-dependent PDEs, from fluids to electromagnetics.

Job description

The Numerical Analysis group within the Delft Institute of Applied Mathematics at TU Delft (see link) is offering a full-time PhD position in the area of efficient structure preserving finite element methods for time-dependent PDEs.

Time-dependent PDEs are ubiquitous in science and engineering, governing the behaviour of fluids, electromagnetics, and many other physical systems. Numerical discretization techniques are fundamental to obtaining (approximate) solutions of these PDEs. Better approximations are typically achieved by refining the mesh and time steps, and/or increasing the order of the methods (e.g. increasing the degree of basis functions in finite elements), leading to larger systems that are computationally more expensive to solve. For this reason, numerical methods that can produce a more accurate solution with the same mesh, time step, and order are advantageous. One approach to constructing more accurate numerical methods is to design them such that key properties of the PDEs are exactly preserved, instead of only approximated: for example, conservation of energy, mass, and momentum; symplecticity; or preservation of the underlying de Rham complex structure. This class of numerical methods is called structure-preserving discretization, and is the main topic of this project. Specifically, this project will focus on both the construction of structure-preserving discretizations for time-dependent PDEs and the efficient solution of the resulting systems with iterative solvers for large-scale systems and HPC. The ultimate aim is to develop solvers that have strong theoretical foundations and are practically viable for real-world applications.

The PhD will be supervised by in the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to structure-preserving finite element methods, iterative methods, and parallel computing.

Besides carrying out mathematical research and preparing scientific publications, you will be expected to actively participate in seminars and discussions within the department, as well as present your work at (inter)national conferences and workshops. You will also carry out minor teaching tasks (at most 15% of your time). Teaching and communication will be in English. If desired, you can take Dutch language courses offered by the TU Delft Language Center.

Job Requirements

• Strong Background: You hold a Master's degree (MSc) in Applied Mathematics, Computational Science, Physics, Aerospace Engineering, or a closely related field. You have a solid foundation in numerical analysis, partial differential equations, and numerical linear algebra.
• Theoretical and Practical Balance: You enjoy developing and analyzing mathematical theory, but also have the skills and motivation to implement algorithms and test them in practice.
• Programming Skills: You are proficient in at least one scientific programming language (such as Python, Julia, C++, or MATLAB) and are motivated to work with parallel computing environments.
• Collaborative Communicator: You are able to communicate your ideas clearly and work effectively with a diverse set of researchers and stakeholders, both within mathematics and in application domains.
• Curious and Open-Minded: You are eager to explore connections between mathematics, physics, and computing, and motivated to learn new techniques.
• Internship Experience: An internship or collaboration in or outside academia is a plus, but not required.
• Inclusive Outlook: We welcome applications from researchers who will add to the diversity of our team, in the broad and intersectional sense of the word.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position.

Conditions of employment

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.

Starting date of this position is February 1, 2027.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3204 - €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.

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.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

Additional information

If you would like more information about this vacancy or the selection procedure, please contact , via .

Application procedure

Are you interested in this vacancy? Please apply no later than 6 Nov 2026 via the application button and upload the following documents:

• Cover letter (max. 1 page) outlining your motivation for pursuing this PhD project, your relevant background, and why you are a good fit for this specific position. Please include concrete examples of relevant experience (e.g., from your MSc thesis, projects, or internships).
• Comprehensive Curriculum Vitae.
• Transcripts and Master's degree/diploma (if already available).
• Copy of your Master's thesis (or a comparable writing sample).

You can address your application to .

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 .

---

Meld Misbruik