We are now seeking an outstanding student or postdoc with an interest in quantum system identification to join our team in Berlin.
This project is concerned with notions of quantum state and process tomography, randomized benchmarking, certification of quantum processes, property verification and estimation, and learning of quantum features.
For this, a wide range of research backgrounds are plausible: This can either be an applied one, on statistical aspects of quantum system identification when analyzing data. It can also be a mathematical one, with methods of compressed sensing, matrix and tensor completion or tensor networks being particularly important. The candidate will participate in a vibrant research environment concerned with both mathematical aspects of quantum system identification as well as with the practical application of those methods in collaboration with leading experimentalists.
Applicants must, in particular on the postdoctoral level, have demonstrated an excellent research accomplishment. The appointed candidate could start as soon as possible. The postdoctoral position would first be available for two years, the PhD position for three years.
Interested candidates are invited to submit
- a letter indicating the main research interests,
- a detailed curriculum vitae,
- a list of publications,
- the electronic (email) contact details of two potential referees.
All applications should be sent in electronic form to firstname.lastname@example.org, having "Quantum system identification" as subject line.
Our QMIO group is one of the leading groups in quantum information science, based at the FU Berlin. The latter is one of the leading research-intensive universities in Germany and the largest of the four within the Berlin-Brandenburg academic landscape. It is one of the nine German universities only that have been rewarded as being excellent universities in the framework of the federal government's excellence initiative. For an overview over the research activities, see
The call will be open until suitable candidates are identified. Applications will be reviewed from the 20th of October 2018 onwards.