15 Feb 2025
Job Information
- Organisation/Company
CNRS-FEMTO-ST institute- Department
Optics- Research Field
Physics » Optics
Computer science » Programming- Researcher Profile
First Stage Researcher (R1)- Positions
PhD Positions- Country
France- Application Deadline
30 May 2025 - 12:00 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38- Offer Starting Date
1 Jul 2025- Is the job funded through the EU Research Framework Programme?
Horizon Europe - MSCA- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The candidate will be enrolled for PhD at the University Marie et Luis Pasteur, Besancon, at the CNRS laboratory FEMTO-ST and will work on leveraging advanced reinforcement and evolutionary learning techniques (e.g. co-variance matrix, policy gradient optimization) for training analogue NNs.
Secondments at CSIC and HPE will train the DC in neuromorphic approaches, in the industrial perspective on novel computing paradigms and in nonlinear photonic effects.
Efficiently training neuro-photonic systems currently is among the most important research directions. The doctoral candidate will explore reinforcement and evolutionary learning to improve the efficiency and performance of training analogue NNs. The crucial challenge that DC addresses is that probing each neuron and connection is energetically and hardware-complexity prohibitive, hence banning techniques like error back propagation or digital twin optimization. The candidate will study the convergence of different methods against their energy consumption using our demonstrated large area
vertical cavity surface emitting lasers (LA-VCSEL) NN as robust and demonstrated hardware platform.
Where to apply
daniel.brunner@femto-st.fr
Requirements
- Research Field
- Technology » Computer technology
- Education Level
- Master Degree or equivalent
- Research Field
- Physics » Optics
- Education Level
- Master Degree or equivalent
Skills/Qualifications
High expertise level in neural network and machine learning coding using pytorch. Some experience with physics experiments would be helpful but is not mandatory.
- Languages
- ENGLISH
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- CNRS
- Country
- France
- State/Province
- Doubs
- City
- Besancon
- Postal Code
- 25030
- Street
- 15B Avenue des Montboucons
- Geofield
Contact
- City
Besancon- Website
http://www.femto-st.fr/en/
https://members.femto-st.fr/daniel-brunner/- Street
15B avenue des montboucons- Postal Code
25030
daniel.brunner@femto-st.fr
STATUS: EXPIRED
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