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PhD Studentship/Marie Sklodowska-Curie Innovative Training Network ESR Fellowship

Applications for this vacancy closed on 3 March 2017 at 12:00PM
We invite applications for a Marie Sklodowska-Curie ITN Early Stage Researcher
(MSC-ESR) Fellowship, tenable for 3 years at Oxford University, to start in
September 2017. The MSC-ESR Fellow will work with Professor Marta Kwiatkowska
on a project entitled AFFECTech: Personal Technologies for Affective Health.
This will involve research into developing novel algorithmic techniques and
advanced software to support the design of wearable devices, and will require
close interaction with HCI researchers and access to expertise in affective
disorders. The successful candidate will be registered for PhD training while
employed by the University on a Marie Sklodowska-Curie Innovative Training
Network, and will be expected to develop embedded technologies for stress
monitoring and regulation. Applicants must possess a good degree in computer
science or related subject and be familiar with model-based design and
quantitative verification, and should have experience of embedded systems,
sensor monitoring and programming, and MATLAB.



The Fellowship is offered in conjunction with a PhD position at the University
of Oxford, and will be subject to the Fellow satisfying the University’s
admissions requirements for PhD study. The EC funding for this position
provides for a salary starting from £31,377 p.a., actual salary will depend on
employer deductions, personal circumstances and the exchange rate applicable
to the fellowship. This amount includes an annual living allowance and a
mobility allowance (to cover the expenses associated with working in a
different country). Under the terms of the EC funding, which aims to promote
mobility within the research community, to be eligible for the post you must
not have been resident in the UK for more than a total of 12 months in the
past 3 years up to the start date. Persons who have obtained a doctorate or
had more than 4 years full time research experience are ineligible. The latest
possible start date is 1 January 2018.



An application should include a current CV, transcripts giving evidence of
degree qualifications and familiarity with model-based design, quantitative
verification and sensor network programming, together with the names and
contact details of three referees.



Candidates will need to make a second online application for the DPhil in
Computer Science by using this link:
https://evision.ox.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app_crs



Candidates must satisfy the usual requirements for studying for a doctorate at
Oxford. For further details on the University’s DPhil in Computer Science
which gives details about entry requirements, please use this link:
www.ox.ac.uk/admissions/graduate/courses/dphil-computer-science



The closing date for applications is 12.00 noon on 3 March 2017.

dc:spatial
Department of Computer Science, Wolfson Building, Parks Road, Oxford.
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vacancy:applicationClosingDate
2017-03-03 12:00:00+00:00
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2017-01-31 09:00:00+00:00
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vacancy:salary
type
comment

We invite applications for a Marie Sklodowska-Curie ITN Early Stage Researcher (MSC-ESR) Fellowship, tenable for 3 years at Oxford University, to start in September 2017. The MSC-ESR Fellow will work with Professor Marta Kwiatkowska on a project entitled AFFECTech: Personal Technologies for Affective Health. This will involve research into developing novel algorithmic techniques and advanced software to support the design of wearable devices, and will require close interaction with HCI researchers and access to expertise in affective disorders. The successful candidate will be registered for PhD training while employed by the University on a Marie Sklodowska-Curie Innovative Training Network, and ...

We invite applications for a Marie Sklodowska-Curie ITN Early Stage Researcher
(MSC-ESR) Fellowship, tenable for 3 years at Oxford University, to start in
September 2017. The MSC-ESR Fellow will work with Professor Marta Kwiatkowska
on a project entitled AFFECTech: Personal Technologies for Affective Health.
This will involve research into developing novel algorithmic techniques and
advanced software to support the design of wearable devices, and will require
close interaction with HCI researchers and access to expertise in affective
disorders. The successful candidate will be registered for PhD training while
employed by the University on a Marie Sklodowska-Curie Innovative Training
Network, and ...
label
PhD Studentship/Marie Sklodowska-Curie Innovative Training Network ESR Fellowship
notation
127432
based near
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