Postdoctoral Research Fellow in optical neural networks (experiment)
Applications for this vacancy closed on 18 December 2024 at 12:00PM
Applications are invited for Postdoctoral Research Fellow in optical neural
networks (experiment)
The posts are available initially for a fixed-term duration of 1 year, with
the possibility of extension subject to funding.
The project is to implement artificial neural networks using optics rather
than electronics. Optical neural networks would enable us to enhance both the
power efficiency and speed of neural networks by several orders of magnitude.
The specific aim is to develop a conceptually novel deep optics neural network
system for computer vision. This system will allow an optical neural network
to “see” and interpret objects directly, bypassing the processing bottleneck
associate with converting an image into an electronic form. Such a system will
have ultra-low latency and find applications in autonomous vehicles, remote
sensing and intelligent robotics.
The successful candidate(s) will manage their own academic research in the
outlined area. They will be involved in several projects including application
of quantum optics in machine learning and robotics as well as linear-optical
superresolution microscopy.
Tasks will include collaborating on reports and journal articles, carrying our
collaborative projects with partner institutions, representing the research
group at external meetings and seminars and developing ideas for generating
research income. The post-holder will have the opportunity to teach.
Applicants should hold, or be close to completion of a PhD in physics or a
related field and possess a superb past research/publication record, excellent
understanding of experimental optics and quantum physics as well as strong
scientific writing skills.
Knowledge of machine learning and expertise in optical images are desirable
Please direct enquiries about the role to Prof. Alex Lvovsky
(alex.lvovsky@physics.ox.ac.uk)
Only applications received before midday (UK time) 18 December 2024 can be
considered You will also be asked to upload a CV, scans of undergraduate and
graduate transcripts (translated if necessary) and a supporting statement as
part of your online application.
networks (experiment)
The posts are available initially for a fixed-term duration of 1 year, with
the possibility of extension subject to funding.
The project is to implement artificial neural networks using optics rather
than electronics. Optical neural networks would enable us to enhance both the
power efficiency and speed of neural networks by several orders of magnitude.
The specific aim is to develop a conceptually novel deep optics neural network
system for computer vision. This system will allow an optical neural network
to “see” and interpret objects directly, bypassing the processing bottleneck
associate with converting an image into an electronic form. Such a system will
have ultra-low latency and find applications in autonomous vehicles, remote
sensing and intelligent robotics.
The successful candidate(s) will manage their own academic research in the
outlined area. They will be involved in several projects including application
of quantum optics in machine learning and robotics as well as linear-optical
superresolution microscopy.
Tasks will include collaborating on reports and journal articles, carrying our
collaborative projects with partner institutions, representing the research
group at external meetings and seminars and developing ideas for generating
research income. The post-holder will have the opportunity to teach.
Applicants should hold, or be close to completion of a PhD in physics or a
related field and possess a superb past research/publication record, excellent
understanding of experimental optics and quantum physics as well as strong
scientific writing skills.
Knowledge of machine learning and expertise in optical images are desirable
Please direct enquiries about the role to Prof. Alex Lvovsky
(alex.lvovsky@physics.ox.ac.uk)
Only applications received before midday (UK time) 18 December 2024 can be
considered You will also be asked to upload a CV, scans of undergraduate and
graduate transcripts (translated if necessary) and a supporting statement as
part of your online application.
dc:spatial |
Department of Physics, Clarendon Laboratory, Parks Road
|
---|---|
Subject | |
oo:contact | |
oo:formalOrganization | |
oo:organizationPart | |
vacancy:applicationClosingDate |
2024-12-18 12:00:00+00:00
|
vacancy:applicationOpeningDate |
2024-12-04 09:00:00+00:00
|
vacancy:furtherParticulars | |
vacancy:internalApplicationsOnly |
False
|
vacancy:salary | |
type | |
comment |
Applications are invited for Postdoctoral Research Fellow in optical neural
networks (experiment) The posts are available initially for a fixed-term duration of 1 year, with the possibility of extension subject to funding. The project is to implement artificial neural networks using optics rather than electronics. Optical neural networks would enable us to enhance both the power efficiency and speed of neural networks by several orders of magnitude. The specific aim is to develop a conceptually novel deep optics neural network system for computer vision. This system will allow an optical neural network to “see” and interpret objects directly, bypassing the ... Applications are invited for Postdoctoral Research Fellow in optical neural networks (experiment) The posts are available initially for a fixed-term duration of 1 year, with the possibility of extension subject to funding. The project is to implement artificial neural networks using optics rather than electronics. Optical neural networks would enable us to enhance both the power efficiency and speed of neural networks by several orders of magnitude. The specific aim is to develop a conceptually novel deep optics neural network system for computer vision. This system will allow an optical neural network to “see” and interpret objects directly, ... |
label |
Postdoctoral Research Fellow in optical neural networks (experiment)
|
notation |
176896
|
based near | |
page |