Wednesday, April 29, 2020

3-year PhD studentship in Inverse Problems and Optical Computing, LightOn, Paris, France

** Nuit Blanche is now on Twitter: @NuitBlog **


Come and join us at LightOn, we have a 3-year PhD fellowship available for someone who can help us build our future photonic cores. Here is 


As part of the newly EU-funded ITN project “Post-Digital”, LightOn has an opening for a fully-funded 3 year Ph.D. studentship to join its R&D team, at the crossroads between Computer Science and Physics. 

The goal of this 3 year Ph.D. position is to theoretically, numerically, and experimentally investigate how optimization techniques can be used in the design of hybrid computing pipelines, including a number of photonic building blocks (“photonic cores”). In particular, the optimized networks will be used to solve large-scale physics-based inverse problems in science and engineering - for instance in medical imaging (e.g. ultrasound), or simulation problems. The candidate will first investigate how LigthOn’s current range of photonics co-processors can be integrated within task-specific networks. The candidate will then develop a computational framework for the optimization of electro-optical systems. Finally, optimized systems will be built and evaluated on experimental data. This project will be part of LightOn’s internal THEIA project, aiming at automating the design of hybrid computing architectures, including combinations of LightOn’s photonic cores and traditional silicon chips.

In the framework of the EU funded ITN Post-Digital network, this project involves collaborations and 3-month secondments with two research groups led by:
  • Daniel Brunner (Université Bourgogne Franche-Comté / FEMTO-ST Besançon), who will be the academic supervisor - The candidate will be registered as a Ph.D. student at UBFC.
  • Pieter Bienstman (IMEC, Leuven, Belgium).
The supervisor at LightOn will be Laurent Daudet, CTO - currently on leave from his position of professor of physics at Université de Paris.

Due to the EU funding source, please make sure you comply with the mobility and eligibility rule before applying. Application: Position to be filled no later than Sept 1st, 2020.

Send your application with a CV to jobs@lighton.io with [Post-Digital PhD] in the subject line. Shortlisted applicants will be asked to provide references. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860830.

For more information: https://lighton.ai/careers/


Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email.

Other links:
Paris Machine LearningMeetup.com||@Archives||LinkedIn||Facebook|| @ParisMLGroup
About LightOnNewsletter ||@LightOnIO|| on LinkedIn || on CrunchBase || our Blog
About myselfLightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv

Tuesday, April 07, 2020

LightOn Cloud 2.0 featuring LightOn Aurora OPUs

** Nuit Blanche is now on Twitter: @NuitBlog **



At LightOn, we just launched LightOn Cloud 2.0 that feature several Aurora Optical Processing Unit for use by the Machine Learning Community. the blog post about this can be found here. You can request access to the Cloud at https://cloud.lighton.ai/

We are also having a LightOn Cloud for Research program: https://cloud.lighton.ai/lighton-research/





Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email.

Other links:
Paris Machine LearningMeetup.com||@Archives||LinkedIn||Facebook|| @ParisMLGroup
About LightOnNewsletter ||@LightOnIO|| on LinkedIn || on CrunchBase || our Blog
About myselfLightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv

Printfriendly