Within the EU FET-OPEN H2020, the PATHOS consortium will plan to develop a radically new technology for the sensing of bio-systems and in-vivo diagnostics of biomedical conditions using hitherto unexploited tools (pioneered by the partners of this very interdisciplinary consortium): unconventional complex-system dynamical control and information sampling/processing, e.g. (i) magnetic-resonance imaging (MRI) and optically-detected magnetic-resonance (ODMR) sensing via cooling/suppression of thermal noisy background in-vivo, (ii) NMR intra-molecule/intra-tissue sensing and intra-cell NV-center thermometry, (iii) advanced sensing-data processing, including high-order correlation spectroscopy.
As part of this effort, at the University of Florence we are currently seeking 2 Postdocs in Noise Sensing, who will work on the controlled and optimised manipulation of quantum probes and the analysis of temporal correlations of environmental noise, respectively.
Photonic and nAnomeTric High-sensitivity biO-Sensing (PATHOS)
PI: F. Caruso (Florence Univ., Coordinator), G. Kurizki (Weizmann), M. Genovese (INRIM), N. Bar-Gill (HUJI), D. Suter (TUDO)
Co-PI: L. Frydman (Weizmann), D. Wiersma (Florence Univ.), J. Howell (HUJI)
5-year project starting in April 2019
Theoretical physicists trained in quantum information science that are interested in learning noise-sensing with possible bio-applications are welcome to apply. And
vice versa theoretical quantum chemists/physicists trained in bio-sensing that are interested in learning quantum information processing are also welcome to apply.
Position summary
Full-time temporary employment. The position is limited to 2 years, extendable up to 5 years, starting at any time since July 2019.
Qualifications
Required qualifications:
- PhD in Physics or equivalent.
- Fluency in English, oral and written; interest and skills in working collaboratively as well as independently.
Experience in one or more of these fields is desired:
- Computational physics, noise spectroscopy, non-Markovian dynamics, and noise correlations.
- Optimal control theory, optimization and machine learning, network theory, quantum information.
- Python and Matlab programming.
The candidate should appreciate working in projects together with experimentalists.
More information about the position and how to apply: please urgently write to [email protected]
As part of this effort, at the University of Florence we are currently seeking 2 Postdocs in Noise Sensing, who will work on the controlled and optimised manipulation of quantum probes and the analysis of temporal correlations of environmental noise, respectively.
Photonic and nAnomeTric High-sensitivity biO-Sensing (PATHOS)
PI: F. Caruso (Florence Univ., Coordinator), G. Kurizki (Weizmann), M. Genovese (INRIM), N. Bar-Gill (HUJI), D. Suter (TUDO)
Co-PI: L. Frydman (Weizmann), D. Wiersma (Florence Univ.), J. Howell (HUJI)
5-year project starting in April 2019
Theoretical physicists trained in quantum information science that are interested in learning noise-sensing with possible bio-applications are welcome to apply. And
vice versa theoretical quantum chemists/physicists trained in bio-sensing that are interested in learning quantum information processing are also welcome to apply.
Position summary
Full-time temporary employment. The position is limited to 2 years, extendable up to 5 years, starting at any time since July 2019.
Qualifications
Required qualifications:
- PhD in Physics or equivalent.
- Fluency in English, oral and written; interest and skills in working collaboratively as well as independently.
Experience in one or more of these fields is desired:
- Computational physics, noise spectroscopy, non-Markovian dynamics, and noise correlations.
- Optimal control theory, optimization and machine learning, network theory, quantum information.
- Python and Matlab programming.
The candidate should appreciate working in projects together with experimentalists.
More information about the position and how to apply: please urgently write to [email protected]
Group Leader
Postdocs
PhD students
BCh. students
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