Iwan H. Sahputra
PhD position at the Max Planck Graduate Center in Mainz, Germany
Metal-organic framework growth: Mechanistic insight for tailored device design
Posted by: Iwan Halim Sahputra <halimits@yahoo.com>
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 20.4.15 |
20.4.15 |  
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A postdoc and   Ph.D. position is offered at Inria
    Lille, in collaboration with CWI, 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),
    paper2 (Ryabko),
    paper3
      (Grünwald/van Ommen)
    
    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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 12.3.15 |
12.3.15 |  
 10.3.15 |
10.3.15 |  
| Application deadline: | 27th March 2015 | 
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