[ML-news] Ph.D. Position at PRLab, Delft University of Technology

[ML]

Ph.D. Project in Dissimilarity-based Multiple Instance Learning

Pattern Recognition Laboratory
Delft University of Technology
Delft, The Netherlands

prlab.tudelft.nl

The Pattern Recognition Laboratory invites applications for a Ph.D.
position in pattern recognition at Delft University of Technology.


Research Project

Multiple-instance learning extends classical supervised learning so as
to handle objects that are described by a set of instances, i.e.,
feature vectors, as opposed to a single feature vector only. Various
classification routines have been devised to learn from a collection
of such sets and their corresponding labels and to generalize to new
and unseen examples. Dissimilarity-based approaches -- put forward by
Pekalska and Duin [www.worldscibooks.com/compsci/5965.html] and
further investigated in for instance the European SIMBAD [simbad-
fp7.eu] project -- provide new opportunities to tackle multiple
instance and related problems. Not necessarily relying on individual
feature vectors, a dissimilarity approach opens up the novel
possibility to compare sets in a direct, albeit potentially non-
Euclidean, way. The principal focus of the research project is on
developing tools and theories to carry out multiple instance learning
via such dissimilarity representations. Additional investigation can,
for example, be towards the potential benefits of non-Euclidean, or
even non-metric, representations over [implicit] Euclidean
representations like the well-known kernel matrices. This project is
fundamental in nature and the aim is to gain knowledge and
understanding applicable to a broad range of general multiple instance
problems. There is no main application involved, but the project does
link to various other research directions at the PRLab, some of which
are more applied projects we are participating in.


Qualifications

The successful candidate should have an M.Sc. in physics, mathematics,
statistics, computer science, electrical engineering, or a related
relevant discipline. A solid mathematical background, considerable
experience with pattern recognition or machine learning techniques,
andgood programming skills in Matlab are definitely an advantage.
Possibly more important are the skills and drive to tackle basic,
fundamental, and/or conceptual problems. Creativity in finding
solutions is thus essential, along with good communication skills.


Applications Letters

Applications must be submitted electronically to m.l...@tudelft.nl and
be received no later than June 18, 2010. Your application should
contain the following information.

- A letter of motivation [one page maximum]
- A curriculum vitae, including three references and, possibly, a list
of publications
- Documentation of completed degrees and graduate courses, including
the marks obtained
- Detailed information on your M.Sc. project and a copy of your M.Sc.
thesis or a draft of it.

It is optional to send along a sketch, no longer than one page, of a
proposed, more detailed research direction that fits within the
research project described above.


Contact Person

Marco Loog

m.l...@tudelft.nl

Pattern Recognition Laboratory
Delft University of Technology
Delft, the Netherlands

--
You received this message because you are subscribed to the Google Groups "Machine Learning News" group.
To post to this group, send email to ml-...@googlegroups.com.
To unsubscribe from this group, send email to ml-news+u...@googlegroups.com.
For more options, visit this group at http://groups.google.com/group/ml-news?hl=en.