https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=5323...

Research Associate for the Project “Quantum computational fluid dynamics” § 28 Abs. 3 HmbHG
InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Physics, Institute for Quantum Physics

Salary levelEGR. 13 TV-L

Start dateas soon as possible, fixed for a period of two years (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline18.12.2023

Scope of workfull-time position suitable for part-time

Your responsibilities
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.
Conduct original theoretical physics research into quantum and tensor network algorithms for solving partial differential equations with a focus on applications in computational fluid dynamics.
Develop software implementing these Tensor Network algorithms on high-performance classical computers.
Develop quantum software and classical simulators for quantum algorithms for computational fluid dynamics.
Solve computational fluid dynamics problems, analyse the solutions and benchmark against existing data.
Manage the research project on a day-to-day basis and regularly report progress to D. Jaksch.
Write research papers for internationally refereed journals and presenting results at national and international conferences.
Engage with theory and experimental colleagues with the aim to establish and maintain scientific collaborations.
Contribute to the positive atmosphere, maintenance and smooth running of the research group, as required.
Contribute to the intellectual life of the research group, including participating in video and teleconference meetings, and travelling for national and international workshops and meetings as required.
Contribute to the writing of project reports and assisting with other administrative duties as required.

Your profile
A university degree in a relevant field.
a doctoral degree, or being close to acquiring it, in a relevant scientific field
excellent knowledge of quantum mechanics, quantum computing and tensor network theory. Familiarity with quantum computing platforms is an advantage
expertise in numerical methods for the study of many-body quantum systems is desired
proven track record of high-quality research in a relevant field and corresponding research publications in international journals