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

[peter...@gmail.com]

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....@iac.es), Peter Tino (p.t...@bham.ac.uk).