Connectionists: Fully Funded PhD Studentship - Computational Intelligence and Astronomy - EU Doctoral Network

[peter tino]

Thinking of PhD and interested in challenging inter-disciplinary work 
involving machine learning and astrophysics?



- computational intelligence background  - no deep prior knowledge of 
astronomy is required,
- astronomy background - no deep prior knowledge of comp. science is 
required.
We, however, need open minds eager to learn and understand "the other 
side".


The EDUCADO project (Exploring the Deep Universe by Computational 
Analysis of Data from Observations, 
https://research.iac.es/proyecto/educado/), an EU Doctoral Network, 
offers a unique opportunity for early stage researchers to develop into 
mature interdisciplinary scientists. You will be part of a network of 9 
research groups across Europe.

The formation and evolution of massive galaxies is reasonably well 
understood in the context of the successful standard ΛCDM formalism. 
Such simulations of cosmic evolution, however, lead to serious 
challenges in the regime of very faint galaxies (problems referred to as 
missing satellites, too big to fail, and planes of satellite galaxies). 
With the massive amounts of excellent data being produced by 
astronomical surveys, and with new missions scheduled to produce more 
data of even better quality, we have a unique chance to solve these 
problems.
Linking detailed astrophysical simulations with observations requires 
development of dedicated tools in the frameworks of machine learning, 
natural computation and probabilistic modelling.

The positions are 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 more details, please see: https://research.iac.es/proyecto/educado/

Informal inquiries can be made to: Johan Knapen (johan.knapen at iac.es), 
Peter Tino (p.tino at bham.ac.uk).

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