Ongeveer 23 uur geleden - Rijksuniversiteit Groningen (RUG) - Groningen
The Faculty of Science and Engineering has a vacancy for a tenure-track assistant professor in Nano electronics and spintronics of 2D materials and devices in …
Delft University of Technology’s faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is ambitiously developing a state-of-the-art …
Delft University of Technology’s faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is ambitiously developing a state-of-the-art architecture that can control all potential future quantum computational devices. This architecture aims to transcend the specifics of each presently available physical technology (i.e., quantum bits based on electrons, fermions, quantum dots, Rydberg atoms, etc), and to be able to robustly cope with quantum mechanical noise and errors in each technology.
Our aspiration now requires us (1) to create state-of-the-art mathematical models that can accurately describe the propagation of errors and noise in quantum circuits / chips and (2) to design methodologies that can drive a quantum mechanical system from an initial state to a target state, while powerfully leveraging underlying network structures and coping with the uncertainties in practical quantum computing.
To achieve goals (1) and (2), the NAS research group, which is part of the department of Quantum & Computer Engineering (QCE), now invites applicants for a challenging PhD position on the topic of Quantum State Driving under Network Uncertainties. This topic lies on the exciting intersection between network science and quantum computing
We are looking for a brilliant PhD candidate with a strong interest to theoretically contribute to diverse implementations of quantum computational devices and networks thereof. The ideal candidate is multidisciplinary, well-versed in quantum mechanics, probability theory, and network science. Experience with methodological techniques from fields including e.g. quantum information, stochasticoptimization, and decision theory is considered advantageous.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.
To apply, please e-mail a detailed CV along with a letter of application to Prof. Van Mieghem, email@example.com
The application procedure is ongoing until the position is filled, so interested candidates are encouraged to apply as soon as possible before July 7, 2018
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