Phd Position Quantum Computational Fluid Dynamics

**PhD Position Quantum Computational Fluid Dynamics**:
**_Join TU Delft's Quantum CFD team and work at the forefront of quantum CFD development._**:
**Job description**:
Computational fluid dynamics (CFD) is expected to largely benefit from the use of quantum computers. Today's CFD tools face the challenge of large computing times and immense memory requirements. Quantum computers can possibly overcome these limitations, but CFD methodologies need to be redesign from scratch to make this happen.

The TU Delft Quantum CFD team expands and is looking for an ambitious talent to fill a 4-year PhD position. You will be working within an international multidisciplinary team at the forefront of quantum CFD development in close collaboration with our industry partner Fujitsu Limited. In particular, you will develop quantum algorithms for realizing the lattice Boltzmann method and the lattice gas automata approach on gate-based quantum computers. You will implement quantum circuits in Qiskit and evaluate them on quantum computing simulators and possibly hardware devices and perform performance analyses and resource estimations.

**Job requirements**:
We expect you to hold a master's degree in applied mathematics or another computational science discipline. 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)**:
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.

Challenge. Change. Impact

**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.

, Mathematics and Computer Science.

**Conditions of employment**

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**

**Application procedure**
- A one-page motivation letter that is specific to this vacancy and addresses how your experience fits with the position.
- A detailed CV (1-3 pages) including academic qualifications and research experience.
- A writing sample (e.g., thesis, article, or research paper).

**Please note**:

- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science
- Salary range: €2901 - €3707
- Hours per week: 36-40
- FTE: 1.0
- Submission is possible until: 14 Sep 2025
- ID job: 2479