TU Delft is looking for a talented postdoctoral researcher with expertise in quantum lattice Boltzmann methods or quantum lattice gas automata.
Job description
The QCFD Lab at TU Delft is at the forefront of developing quantum lattice Boltzmann methods in close collaboration with leading industry partners in quantum computation and from the aerospace sector. As we expand, we are looking for a motivated and talented postdoctoral researcher to strengthen our team. We expect candidates to have demonstrated expertise in the development of quantum lattice Boltzmann methods or quantum lattice gas automata and their theoretical analysis. You will develop and implement quantum circuits, evaluate them on quantum computing simulators and possibly hardware devices, and perform performance analyses and resource estimations.
We believe in end-to-end solutions with practical advantage for real-world applications. If you decide to join the team, we expect you to fully dedicate to this mindset and contribute to advancing the state of the art of quantum CFD.
Job requirements
We expect you to hold a PhD degree (or be close to completing it) in applied mathematics or another computational science discipline and to have a proven track record in quantum lattice Boltzmann methods or quantum lattice gas automata, e.g., demonstrated through scientific publications or presentations. Experience with implementing quantum algorithms in Qiskit or other quantum programming frameworks is appreciated.
We furthermore expect you to be fluent in English both in speaking and writing and able to communicate both in academic and industrial environment.
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. In total, more than 1000 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.
Conditions of employment
- Duration of contract is 1 year with prospect of another year.
- A job of 36-40 hours per week.
- Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
- An excellent pension scheme via the ABP.
- The possibility to compile an individual employment package every year.
- Discount with health insurers on supplemental packages.
- Flexible working week.
- Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
- Plenty of opportunities for education, training and courses.
- Partially paid parental leave
- Attention for working healthy and energetically with the vitality program.
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 Dr. Matthias Möller, via m.moller@tudelf.nl.
Application procedure
Are you interested in this vacancy? Please apply no later than 8 Oct 2026 via the application button and upload the following documents:
- CV
- Motivational letter (1-2 pages)
- Your PhD thesis, and one notable publication that demonstrates your experitise in quantum lattice Boltzmann methods.
You can address your application to Dr. Matthias Möller.
Please note:
- You can apply online. We will not process applications sent by email and/or post.
- As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
- Please do not contact us for unsolicited services.
