Postdoc and PhD positions in quantum algorithms for near-term devices in the Applied Quantum Algorithms group at Leiden University
Topic: We are looking for individuals with an excellent academic record interested in the development of new quantum algorithmic methods for near-term quantum computers, with applications in machine learning, optimization, chemistry and highly correlated physical systems . Students and young researchers with a strong background in theoretical quantum computing, but also computer science, quantum chemistry, AI and mathematics, who are excited to learn about quantum computing, are invited to apply.
Who we are: The Applied Quantum Algorithms (aQa) group comprises a Leiden University collaboration between the Leiden Institute of Physics (LION) , Leiden Institute of Advanced Computer Science (LIACS), Leiden Institute of Chemistry (LIC) and the Mathematics Institute (MI). We focus on the development of quantum algorithms and their applications for problems in natural sciences (physics, chemistry), practical computing (machine learning, AI, optimization), with a particular focus on the scope of near-term quantum devices. Our vision is to bring real-world quantum computing to a practical level, integrating theory, experiments and applications. aQa is well embedded with the Dutch quantum computing ecosphere, with theory collaborations with QuSoft in Amsterdam, and theory and experimental collaborations with QuTech in Delft, which opens the possibilities of benchmarking our ideas with actual quantum computing hardware. We have strong ties with industry and collaborate with a number Dutch and international companies.
Application logistics (postdocs): Please send a cover letter, a complete CV with a link to your Google Scholar page (or similar), a research statement and the contact details of three people who can be contacted for a reference to [email protected]
Excellent English communication skills are required, as well as a strong academic record through peer-reviewed publications in top international journals or peer-reviewed conferences, and through other contributions in conferences and workshops.
Application logistics (PhD students): Please send a complete CV including academic transcripts and the contact details of three referees to [email protected]
Excellent English communication skills are required. Programming and numerical skills are highly desirable.