13/04/2021
The Human Resources Strategy for Researchers
European Research Council

PhD Student in Photonics (M/F) - Optimization of nonlinear effects in guided optics via machine learning

This job offer has expired


  • ORGANISATION/COMPANY
    CNRS
  • RESEARCH FIELD
    Engineering
    Physics
    Technology
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    09/06/2021 23:59 - Europe/Brussels
  • LOCATION
    France › LIMOGES
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    01/10/2021
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / ERC

OFFER DESCRIPTION

The successful applicant will integrate the Xlim Research Institute on the geographical site of Limoges (France), a city with 130,000 inhabitants at the heart of the Région Nouvelle-Aquitaine and recognized for the quality of its lifestyle.
Xlim is a multidisciplinary research institute (UMR - CNRS 7252), in association with the National Center for Scientific Research (CNRS). The institute brings together over 500 academics, researchers, technical staff and doctoral students with an expertise spanning broad areas of electronics & microwaves, optics & photonics, mathematics, computer sciences and image processing.

For this thesis, the selected student will join the Photonics Department of Xlim and work under the supervision of Dr. Benjamin Wetzel (CNRS Researcher). He/she will conduct research at the interface of the PhoCal team (Laser sources & Coherent control) and the BioPhot team (Biophotonics & Imaging) within the framework of an ERC Starting Grant project (STREAMLINE – 2021 - 2026). The candidate will join an international and dynamic group including several postdocs and doctoral students working jointly on the project throughout the duration of the thesis. The PhD student will be enrolled within the University of Limoges (SISMI Doctoral School) and will also have the opportunity to collaborate with several national and international academic partners (e.g. Germany, Canada, Italy, United Kingdom ...) during his thesis.

- More information on the latest research activities here: www.smartphotonics.net
- More information on STREAMLINE project here: www.streamline-project.com

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 950618)

A PhD student position is available within the framework of the ERC-funded project STREAMLINE.

Keywords: Nonlinear photonics, Fiber optics, Integrated optics, Ultrafast characterization, Optical pulse processing, Coherent control, Machine learning.

-= Overview =-
The PhD student will dedicate his/her time on a new and exciting research activity involving the control of nonlinear dynamics and ultrafast phenomena in guided optics (frequency conversion processes, modulation instability, soliton dynamics, supercontinuum generation, etc.). Several pulse processing approaches and optical platforms (monomode fibers, multimode fibers, photonics integrated circuits) will be implemented and tested for the optimization of selected optical wavepackets properties (spectro-temporal characteristics, as well as spatial shaping in multimode fibers) towards the development of “smart photonics sources”. The position is mainly experimental, but is also highly multidisciplinary, spanning numerical and theoretical studies of fundamental nonlinear optical dynamics, with a strong focus on the implementation of machine learning optimization schemes based on artificial intelligence (AI).

-= Activities =-
- The student will carry out diversified activities on optical pulse shaping & coherent control, fiber & integrated nonlinear optics, as well as ultrafast optical characterization. He/she is expected to progressively acquire a good level of scientific independence to conduct the experiments and numerical simulations in line with the research goals of the STREAMLINE project.
- In this context, the PhD student will be involved in the implementation and progressive upgrade of a complete ultrafast optical processing and characterisation bench in the laboratory. This includes the interfacing of equipment for data acquisition and automatised optical control/processing towards AI-based optimization. This further encompasses the deployment of the experimental setup specifically required for the thesis objectives along with, as part of the team, the development of homemade specialty optical characterization tools and the implementation (and eventual support in the design) of dedicated photonics integrated systems.
- As part of his/her work, the doctoral student will perform numerical simulations for the modeling of non-linear optical propagation using available codes (NLSE type) and will develop/deploy machine learning tools (e.g. genetic algorithms/swarm, artificial neural networks, etc.) for the adaptive optimization of optical experiments as well as the processing and analysis of data obtained numerically or experimentally.
- The student will be directly involved in daily group management tasks of research activities (e.g. management of experimental resources, ordering equipment) as well as the possible supervision of Master students. He/she is further expected to progressively gain responsibilities by contributing to e.g. decisions on scientific orientations and planning, preparing reports, etc.
- As part of the his/her activities, the PhD student will communicate on his/her scientific results via peer-reviewed publications and conference contributions/presentations. He/she will also be encouraged to take part in further outreach activities with a broader audience (e.g. Science Festival, European Researcher Night…) and progressively contribute to the scientific community (with e.g. article review).

-= Skills =-
- The candidate will hold a Master's degree (i.e. M.Phys, M.Sc, M.Eng) in photonics, experimental physics, engineering, or electrical engineering (or having acquired / in the process of acquiring an equivalent diploma such as those delivered in an engineering school).
- The applicant will ideally have basic training and knowledge covering the fields of physics, nonlinear optics, fiber optics, laser physics, optoelectronics, signal processing, machine learning. Excellent experimental skills in fibered and/or guided optics are necessary (fibered and/or integrated platforms).
- Prior hands-on experience in experimental fiber optics/integrated optics, pulsed lasers and/or optical instrumentation would be desirable.
- Strong numerical proficiencies with Matlab (and/or Python) are desired for numerical modeling and experimental interfacing.
- Prior knowledge or experience with some numerical tools (e.g. TensorFlow, Keras, PyTorch, Theano, or similar) and machine learning/adaptive control techniques (e.g. feedback loops, neural networks, genetic algorithms) would be appreciated.
- Good writing skills and English level (B2/C1 minimum) are required from the applicant.
- Ideally, the candidate will be proactive, rigorous, autonomous, and will have good communication skills allowing effective teamwork.
- The candidate will have a good scientific curiosity and a clear motivation regarding the thesis research topic.

-= Further skills and knowledge that are directly relevant to the thesis =-
- Proficiencies in optical waveguides/photonic integrated system design using FDTD or mode solvers (e.g. COMSOL, Lumerical) can be an asset.
- Basic programming skills (C / C ++ / R) and electronic microcontrollers (MCUs) may also be appreciated.
- A basic level of French would be ideal to ensure effective communication and smooth local integration.

-= Useful References =-
- B. Wetzel, et al. Customizing supercontinuum generation via on-chip adaptive temporal pulse-splitting, Nature Communications, 9, 4884 (2018).
- G. Genty, et al. Machine learning and applications in ultrafast photonics, Nature Photonics, 15, 91 (2021).
- R. Florentin, et al. Shaping the light amplified in a multimode fiber, Light: Science & Applications, 6, e16208 (2017)
- K. Krupa, et al. Spatial beam self-cleaning in multimode fibres, Nature Photonics, 11, 237 (2017).

More Information

Additional comments

-= Application documents requested =-
- A CV with complete degree transcripts (and possible ranking)
- A letter of recommendation (from an internship / project supervisor or similar)
- A cover letter from the candidate
- English certification (e.g. TOEIC, TOEFL) or some proof of language ability (English and/or French) would also be desirable (optional).
- If relevant, the candidate can also submit his internship report/thesis on the online portal.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    Engineering
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Physics
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Technology
  • YEARS OF RESEARCH EXPERIENCE
    None

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
    Physics: Master Degree or equivalent
    Technology: Master Degree or equivalent
  • REQUIRED LANGUAGES
    FRENCH: Basic
Work location(s)
1 position(s) available at
XLIM
France
LIMOGES

EURAXESS offer ID: 628565
Posting organisation offer ID: 20929

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