PhD positions in Machine Learning, University of Frankfurt
Two PhD studentships in Machine Learning are available in the department of
Computer Science, University of Frankfurt, starting in Fall 2011.
PhD students will be associated with the Machine Learning group at Frankfurt.
Students will work under the supervision of Prof. Roland Memisevic
(www.cs.uni-frankfurt.de/~ro)
and in collaboration with the Computer Vision
group
(www.vsi.cs.uni-frankfurt.de)
as well as with members of the Frankfurt
Vision Initiative
(www.bfnt-frankfurt.de).
Your Research will involve the development of scalable machine learning methods
with applications in computer vision. One current research focus is learning of
features (aka "dictionary learning", "sparse coding") from very large data-sets.
Our work touches upon topics in high performance computing (we are using one
of the world's largest compute-clusters, located right here in Frankfurt) and
in computational neuroscience (as part of the BFNT, our research directly
contributes to the effort of building the next-generation brain-inspired vision system).
The duration of the contract is subject to the legal provisions of the
"Wissenschaftszeitvertragsgesetz" (law regulating time limited contracts for
scientists) together with the "Hessische Hochschulgesetz" (Hessian Law for
Higher Education). Wages and salaries are according to the collective
agreements on salary scales which apply at Goethe-University (TV-G-U).
Salaries for both positions are according to pay-scale E 13 TV-G-U, 75%.
The positions are for a period of initially three years.
Goethe-University is committed to increasing the proportion of female
scientific staff and applications from women are especially welcome. Where
qualifications are equal, preference will be given to people with
disabilities.
To apply, please send the following documents in a single pdf-file to
ml_jobs@cs.uni-frankfurt.de
(1) Your Curriculum Vitae
(2) A brief statement of relevant research interests and/or experience
(preferably one page, at most two)
(3) Transcripts for previous degrees if available
(4) Names of two or three referees who are able to comment on the applicant's
qualifications. We will contact references of short-listed candidates only.
Only short-listed candidates will be contacted.