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Postdoctoral Research Assistant in Applied Machine Learning for Acoustic Data Analysis

Applications for this vacancy closed on 21 October 2020 at 12:00PM
We are seeking a full-time Postdoctoral Research Assistant in applied machine
learning for acoustic data analysis. The successful applicant will join the
Machine Learning Research Group at the Department of Engineering Science
(central Oxford). The post is part of the HumBug project
(http://humbug.ac.uk), which aims to develop next-generation mosquito
detectors to aid our understanding of malarial transmission. The post is
fixed-term for up to 6 months.



You will be responsible for research into acoustic time-series modelling
techniques, with a particular focus on detection algorithms for mosquitoes.
You will also be involved in system integration, verification and validation,
as well as collation and curation of databases. The role will focus as much on
creating robust, reliable solutions as it will on innovation, suiting a
candidate who is motivated by seeing end to end solutions in place to address
real-world applications.



You should have a relevant PhD/DPhil (or have submitted your thesis and await
completion), as well as possess a good first degree in Engineering, Physics,
Computer Science, Mathematics, Statistics or similar. You should have
specialisation in machine learning models for acoustic data analysis.
Experience in practical applications of detection algorithms in uncertain
domains is essential, as well as expertise and experience in computer
programming. Experience of acoustic data analysis for insect identification is
particularly beneficial. You should have a track record of published work
concomitant with relevant experience and the ability to work well both
independently and as part of a team.



Informal enquiries may be addressed to Prof Stephen Roberts
(sjrob@robots.ox.ac.uk).



Further information about working at the Department, please see
http://www.eng.ox.ac.uk/jobs/home



Only applications received before **midday on Wednesday, 21 October 2020** can
be considered. You will be required to upload a covering letter/supporting
statement, including a brief statement of research interests (describing how
past experience and future plans fit with the advertised position), CV and the
details of two referees as part of your online application.



The Department holds an Athena Swan Bronze award, highlighting its commitment
to promoting women in Science, Engineering and Technology. For more
information about working at the Department, see www.eng.ox.ac.uk/about/work-
with-us/.

dc:spatial
Department of Engineering Science, Oxford-Man Institute, Walton Well Road, Oxford
Subject
oo:contact
oo:formalOrganization
oo:organizationPart
vacancy:applicationClosingDate
2020-10-21 12:00:00+01:00
vacancy:applicationOpeningDate
2020-10-08 09:00:00+01:00
vacancy:furtherParticulars
vacancy:internalApplicationsOnly
False
vacancy:salary
type
comment
We are seeking a full-time Postdoctoral Research Assistant in applied machine
learning for acoustic data analysis. The successful applicant will join the
Machine Learning Research Group at the Department of Engineering Science
(central Oxford). The post is part of the HumBug project
(http://humbug.ac.uk), which aims to develop next-generation mosquito
detectors to aid our understanding of malarial transmission. The post is
fixed-term for up to 6 months.



You will be responsible for research into acoustic time-series modelling
techniques, with a particular focus on detection algorithms for mosquitoes.
You will also be involved in system integration, verification and validation,
as well as ...

We are seeking a full-time Postdoctoral Research Assistant in applied machine learning for acoustic data analysis. The successful applicant will join the Machine Learning Research Group at the Department of Engineering Science (central Oxford). The post is part of the HumBug project (http://humbug.ac.uk), which aims to develop next-generation mosquito detectors to aid our understanding of malarial transmission. The post is fixed-term for up to 6 months.


You will be responsible for research into acoustic time-series modelling techniques, with a particular focus on detection algorithms for mosquitoes. You will also be involved in system integration, verification and validation, as well as ...

label
Postdoctoral Research Assistant in Applied Machine Learning for Acoustic Data Analysis
notation
147920
based near
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