Postdoc in Quantum Lattice Boltzmann Methods

Delft University of Technology; Delft; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

Excellent pension ABP

Relocation support

Education opportunities

Flexible working week

Dual Career Programme

Job summary

Delft University of Technology (TU Delft) invites applications for a postdoctoral researcher focusing on quantum lattice Boltzmann methods or quantum lattice gas automata. You will develop quantum circuits, run simulations on quantum platforms, and analyze performance for practical quantum CFD applications.

The ideal candidate holds a PhD in applied mathematics or computational science, with publications in the field and experience using Qiskit or related frameworks.

Qualifications

• The candidate holds a PhD in applied mathematics or a related computational science field.
• Proven track record in quantum lattice Boltzmann methods or quantum lattice gas automata with publications or presentations.
• Experience implementing quantum algorithms in Qiskit or similar frameworks; strong English communication.

Responsibilities

• Develop and implement quantum circuits for lattice Boltzmann simulations.
• Evaluate quantum algorithms on simulators and, if available, hardware.
• Perform performance analyses and resource estimations for quantum CFD applications.

Skills

Quantum LBM

Quantum LGA

Qiskit experience

Education

PhD in Applied Mathematics or Computational Science

Tools

Qiskit

Job description

TU Delft is looking for a talented postdoctoral researcher with expertise in quantum lattice Boltzmann methods or quantum lattice gas automata.

Postdoc in Quantum Lattice Boltzmann Methods

• Salary range: €3706 - €5760
• FTE: 1.0

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)

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. 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.

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.

Please note:

• 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.