A postdoc and Ph.D. position is offered at Inria
<http://www.inria.fr/en> Lille, in collaboration with CWI
<http://www.cwi.nl/workingatCWI>, Amsterdam.
The successful applicants will work with Daniil Ryabko at Inria, and
will collaborate
with Peter Grünwald at CWI, Amsterdam, spending some of time in Amsterdam.
(For postdoc between 3 and 6 months.)
Application Deadline: 26/04/2015, but better apply earlier
Duration: 36 months for PhD, 16 months for postdoc
Starting date: October, 2015
Please contact Daniil dot Ryabko at inria.fr before applying, with [phd]
in the subject line.
*The topic* is non-parametric sequential prediction.
The topic belongs to the areas of machine learning and (extremely)
nonparametric statistics. The central theme of this topic is to explore
which regularities are "learnable" from sequential data.
Specifically, this general question is considered for the problem of
probability forecasting, that is, predicting the probabilities of future
outcomes of a series of events given the past. The question to be
addressed is: under which assumptions on the stochastic mechanism
generating the data is it possible to give forecasts whose error becomes
negligible as more data becomes available? Here we specifically allow
for the possibility that the predictions are based on a model that is
`wrong yet useful', i.e. it does not contain the data generating
mechanism. In this 'nonrealizable' or 'misspecified' case, the question
becomes: under what conditions it is possible to give forecasts that
converge to the best available ones as more data becomes available?
Questions of this kind find applications in a variety of fields, such as
finance, data compression, bioinformatics, environmental sciences, and
many others. However, the research topic is mainly about theoretical
foundations rather than applications.
Background papers: paper1 (Ryabko)
<http://daniil.ryabko.net/ryabko10a.pdf>, paper2 (Ryabko)
<http://daniil.ryabko.net/ryabko11a.pdf>, paper3 (Grünwald/van Ommen)
<http://arxiv.org/abs/1412.3730>
The successful applicant will have a strong mathematical background with
an M.Sc. in mathematics, computer science or statistics.
*About Inria**and the job*
Established in 1967, Inria is the only public research body fully
dedicated to computational sciences. Combining computer sciences with
mathematics, Inria’s 3,500 researchers
with 350 working at the Inria centre in Lille.
Lille is only 1h away from Paris, 34min from Brussels and 1h30 from
London - all by train.
Benefits: Possibility of French courses, Help for housing, Financial
support from Inria to catering and transportation expenses, Scientific
Resident card and help for visa, Catering service
Monthly salary after taxes: around 1580 € the 1st two years and 1660 €
the 3rd year (social security included).
*About CWI: **
*
CWI is the national research institute for mathematics and computer
science in the Netherlands, located in Amsterdam. It conducts pioneering
research in these fields and transfers its results to society. With 55
permanent research staff, 40 postdocs and 70 PhD students, CWI is a
compact institute that lies at the heart of European research in
mathematics and computer science. It was the birthplace of the European
internet and was home to the invention of the popular programming
language Python. CWI is located within easy biking distance from the
centre of one of Europe's most beautiful, lively and international cities.
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