Associate Professor
Dept. of Computer Science
University of Oxford
Program Director
Samsung AI Center, Cambridge
Fellow
Kellogg College
University of Oxford
nicholas.lane@cs.ox.ac.uk
I am an Associate Professor in the Computer Science department at the University of Oxford, where I lead the Machine Learning Systems lab. This lab is part of the Cyber-Physical Systems group.
I am also a Fellow of Kellogg College, and teach machine learning on the Professional Masters Program.
At the Samsung AI Center, I am a Program Director for on-device and distributed machine learning.
OPEN POSITIONS
PhD funding
Internationally student funded PhD. Topic open, within the are of the group. Funded by Samsung. Open to all students regardless of nationality.
read morePost-Doc Position
Internationally student funded PhD. Topic open, whithin the area of the group. Funded by Samsung. Open to all students regardless of nationality. Closing application: to match CS DPhil closing application dates. Seeking those with either strong systems experience with...
read moreNEWS
ERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR
read moreICLR 2019 accepted paper
Our paper, “A Systematic Study of Binary Neural Networks’ Optimisation”, was accepted at ICLR 2019.
read moreNew Funding in 2018/2019
We are pleased to announce £590k in funding for our Machine Learning Systems lab for post-docs, students and equipment in 2018/19.
read moreEPSRC Fellowship Awarded
I have been awarded a fellowship for my proposal “MOA: High Efficiency Deep Learning for Embedded and Mobile Platforms”.
read moreThree Post-doc Positions Open
We are advertising for three post-docs in my lab (one 30-month, two 12-month), the start time is flexible. Please apply.
read moreIJCAI 2018 Accepted
Our paper ‘Deterministic Binary Filters for Convolutional Neural Networks’ has been accepted to IJCAI 2018.
read more£1.6M OPERA Project funded by EPSRC
Our grant to investigate passive radar technology for contextual sensing has been funded by EPSRC. Looking forward to working with UCL, Bristol, Coventry on this important research.
read more
Associate Professor
Department of Computer Science
University of Oxford
Program Director
Samsung AI Center, Cambridge
Fellow
Kellogg College
University of Oxford
nicholas.lane@cs.ox.ac.uk
OPEN POSITIONS
PhD funding
Internationally student funded PhD. Topic open, within the are of the group. Funded by Samsung. Open to all students regardless of nationality.
read morePost-Doc Position
Internationally student funded PhD. Topic open, whithin the area of the group. Funded by Samsung. Open to all students regardless of nationality. Closing application: to match CS DPhil closing application dates. Seeking those with either strong systems experience with...
read moreNEWS
ERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR
ICLR 2019 accepted paper
Our paper, “A Systematic Study of Binary Neural Networks’ Optimisation”, was accepted at ICLR 2019.
PhD funding
Internationally student funded PhD. Topic open, within the are of the group. Funded by Samsung. Open to all students regardless of nationality.
Post-Doc Position
Internationally student funded PhD. Topic open, whithin the area of the group. Funded by Samsung. Open to all students regardless of nationality. Closing application: to match CS DPhil closing application dates. Seeking those with either strong systems experience with...
New Funding in 2018/2019
We are pleased to announce £590k in funding for our Machine Learning Systems lab for post-docs, students and equipment in 2018/19.
EPSRC Fellowship Awarded
I have been awarded a fellowship for my proposal “MOA: High Efficiency Deep Learning for Embedded and Mobile Platforms”.
Three Post-doc Positions Open
We are advertising for three post-docs in my lab (one 30-month, two 12-month), the start time is flexible. Please apply.
IJCAI 2018 Accepted
Our paper ‘Deterministic Binary Filters for Convolutional Neural Networks’ has been accepted to IJCAI 2018.
£1.6M OPERA Project funded by EPSRC
Our grant to investigate passive radar technology for contextual sensing has been funded by EPSRC. Looking forward to working with UCL, Bristol, Coventry on this important research.