Post-doctoral position in quantum machine learning and quantum artificial
ICFO is offering a postdoctoral position to a well-qualified, highly motivated
and dynamic young scientist who wishes to enhance his/her scientific career in
a friendly and stimulating environment.
The successful candidate will be joining the Quantum Optics Theory and
Quantum Information Theory groups led by Prof. Dr. Maciej Lewenstein and Prof.
Dr. Antonio Acín , respectively. The groups have experience in all areas of
theoretical physics, but in the context of the present project the relevant
are: a) classical statistical physics; b) information theory; c) many body
physics, including quantum many body physics; d) numerical methods; e)
classical and quantum machine learning; f) classical and quantum artificial
intelligence. The project will focus on the development of new hardware and
software methods to solve optimization problems.
The successful candidate will carry out their tasks within the joint project
Quspin (RTC2019-007196-7). Quspin, one of the projects running in the ICFO-
Quside Joint Lab, seeks to develop a hardware-accelerated computer system
specialized in the efficient and precise solution of some of the most
widespread optimization processes. To achieve this goal, we face the challenge
from a dual approach: the development and deployment of Quspin Annealer, an
innovative product to accelerate through specialized hardware systems the
execution of tempering or annealing algorithms, and the demonstration of its
applicability in multiple combinational optimization problems.
Share this opening!
Use the following URL:
https: // jobs.icfo.eu/?detail=622
Candidates must hold an internationally-recognized Ph.D.-equivalent degree
(or evidence of its completion in the nearest future) preferably in
theoretical physics, computer science, applied mathematics.
The candidate should have a proven track record of top-level research during
the PhD studies and possible earlier postdoc positions. Positively valued will
be experience in the areas a) classical statistical physics; b) information
theory; c) many body physics, including quantum many body physics; d)
numerical methods; e) classical and quantum machine learning; f) classical
and quantum artificial intelligence. Particularly desired is an experience in
numerical methods and machine learning.
ICFO is an equal opportunity employer. Candidates are selected exclusively on
merit and potential on the basis of submitted application material. No
restrictions related to disabilities, citizenship or gender apply to ICFO
positions. ICFO abides by the principles of openness, efficiency,
transparency, supportiveness, and international comparability as stated in the
European Charter for Researchers and the European Code of Conduct for the
Recruitment of Researchers.
Salary is offered according to the institutional salary scales.
The contract is offered for periods of one year, renewable for a total of up
to 2 years.
Additionally, a family allowance is also available on request and after
corresponding approval for people with family charges in the terms described
in the corresponding policy.
Suitable candidates are requested to submit:
Presentation letter with a declaration of interest,
Curriculum Vitae, including contact details,
The contact e-mail of two potential referees.
Candidates may contact email@example.com for formal enquiries regarding the
application, as well as address scientific enquiries to firstname.lastname@example.org
For update information about the hosting group, please visit
https: // www. icfo.eu/lang/research/groups/groups-details?groupid=19 and
https: // www. icfo.eu/lang/research/groups/groups-details?groupid=23
For updated information about ICFO, please visit https: // www. icfo.eu/
10th of November, 2021