PhD Studentships in Probabilistic Machine Learning
A number of PhD studentships are available in the
Probabilistic Machine Learning group [headed by Matthias Seeger]
School of Computer and Communication Sciences
Ecole Polytechnique Federale de Lausanne (EPFL)
The group focusses on the development and analysis of scalable Bayesian
inference and graphical modelling technology, with applications to Bayesian
experimental design (adaptive compressive sensing, active learning), Bayesian
learning and robust estimation.
Advances are applied to challenging problems in magnetic resonance imaging
(sampling optimization, motion compensation, phase-sensitive imaging,
parallel MRI, parallel transmit), in collaboration with leading MRI research
groups (CIBM, Lausanne; MPI, Tuebingen), as well as to low-level computer
vision and other high-dimensional scenarios.
The group is part of one of Europe’s highest ranked computer science faculties
at EPFL, one of the leading technical universities worldwide, a unique
surrounding for study and research. EPFL is beautifully located between
Lake Geneva and a stunning mountain scenery, offering great opportunities for
the outdoors. The Lausanne area is known for its numerous cultural festivals.
Openings are available for exceptional students with excellent mathematical
background and high motivation for research in probabilistic machine learning,
approximate Bayesian inference, and applications thereof. Admission to the
doctoral program is internationally competitive.
Application to the doctoral program EDIC is centralized. Please refer to
for any details concerning the application process.
*** Do NOT reply to this mail or send me your documents, but submit them
*** through the site. Applications which are not centrally submitted,
*** cannot be considered.
*** Please indicate in your submission that you would want to work with
*** me (listing other faculty as well is perfectly fine), as this will
*** flag your application for me. You may want to indicate to me that you
*** have applied, but please do not expect a direct answer.
The deadline for applications is
January 15, 2012
– EDIC doctoral school:
– Research in the Probabilistic Machine Learning group:
– Computer and Communication Sciences, EPFL: