Connectionists: Fully Funded PhD Studentship - Machine Learning and Astronomy - Marie Sklodowska-Curie Early Stage Researcher (University of Birmingham, UK)

[Peter Tino]

Interested in challenging inter-disciplinary work involving machine
learning?

SUNDIAL Horizon 2020 Initial Training Network
(www.astro.rug.nl/~sundial/index.html) offers a unique opportunity for
early stage researchers to develop into mature interdisciplinary
scientist. You will be part of 9 research groups across Europe aiming to
develop novel computational methodologies to study databases coming from
current-day telescopes in order to better understand galaxy formation
and evolution, and to prepare for the huge missions of the next decade.
Linking detailed astrophysical simulations of galaxy and galaxy cluster
formation and evolution with observations requires development of
dedicated tools in the frameworks of machine learning, natural
computation and probabilistic modelling. The position is suitable for
trained astronomers with keen interest in machine learning and
computational methods (no deep prior knowledge is required), or for
computer scientists eager to face a challenging interdisciplinary
project (again no deep prior knowledge of astronomy is required).


For details and formal application, please see:
http://www.jobs.ac.uk/job/BFE071/marie-sklodowska-curie-early-stage-researcher-sundial-57207/

Informal enquiries can be made to: Peter Tino; p.tino at cs.bham.ac.uk


-- 
Peter Tino
The University of Birmingham
School of Computer Science
Edgbaston, Birmingham B15 2TT, UK
+44 121 414 8558  ,  fax: 414 4281
http://www.cs.bham.ac.uk/~pxt/