[Comp-neuro] PhD studentships in Neuromorphic computing and Data Science

Schmuker, Michael m.schmuker at herts.ac.uk
Wed May 23 12:19:30 CEST 2018


We are offering a several PhD studentships in the Biocomputation group at the University of Hertfordshire. 

Details here: https://www.herts.ac.uk/__data/assets/pdf_file/0007/209365/Data-Science-and-Neuromorphic-Computing.pdf

Our group translates processes from the brain into algorithms for efficient computing. A particular area of interest is Neural Data Science, where we extract information from complex data sets obtained in neuroscience. Our goal is to shed light on how the brain is processing information and to cast this knowledge into efficient algorithms for pattern recognition and signal processing.

We implement such algorithms by leveraging so-called neuromorphic hardware, i.e., specialised computer chips that mimic the massively parallel architecture of the brain, which greatly accelerate brain-inspired neural computing.

We are looking for highly motivated candidates with a keen interest in squeezing every bit of information out of complex data sets, to understand how the brain copes with the relentless onslaught of sensory information, and to implement those aspects on a new computer architecture. 

A diverse choice of topics is available, including but not limited to:

• Data mining in neuronal imaging using matrix factorisation and machine learning
• Brain-inspired pattern recognition using supervised and unsupervised learning
• Olfaction-inspired signal processing and odor recognition for electronic gas sensors

It is also possible to suggest topics. 

Candidates should have excellent programming skills and also some experience in data mining. Previous exposure to low-level hardware programming (e.g. microcontrollers, GPUs) and/or computer engineering is a plus.

We collaborate with world-leading neuroscience labs in the UK and abroad to investigate how the brain is processing dynamic sensory information. As a member of the Human Brain Project we pioneer the use of neuromorphic hardware for Data Science. This guarantees a stimulating research environment for a project that aims not only at generating theoretical insight but also validating the findings with experimental scientists and pursuing applications in the real world.

Successful candidates are eligible for a research studentship award from the University (approximately GBP 14,777 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary.

Please contact Principal Investigator Dr. Michael Schmuker prior to application to scope out a project proposal that is tailored to your background, via email: m.schmuker at herts.ac.uk.

More info and instructions how to apply are available at  https://www.herts.ac.uk/study/schools-of- study/computer-science/our-research/the-phd-programme-in-computer-science .

The next short-listing process for studentship applications will begin on 25 June 2018.

—
Dr Michael Schmuker AFHEA
Reader in Data Science
Biocomputation Group
University of Hertfordshire
http://biomachinelearning.net



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