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  NUDATA09 A light in the dark: quantifying the impact of baryonic physics on cosmological data

   Faculty of Science, Agriculture and Engineering

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  Dr Marika Asgari  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Overview of the CDT

This project is being offered as part of the STFC Centre for Doctoral Training in Data Intensive Science, called NUdata, which is a collaboration between Northumbria and Newcastle Universities, STFC, and a portfolio of over 40 industrial partners, including SMEs, large/multinational companies, Government and not-for profit organisations, and international humanitarian organisations. Please visit for full information.


What is the nature of dark matter and dark energy? This is arguably the biggest question in cosmology. Under the current standard model, ΛCDM, dark energy is sourced by the cosmological constant, Λ, and dark matter only interacts through gravity. The standard cosmological model has been challenged by recent observational evidence, comparing the results of the early and the late Universe. These challenges to the status-quo may point us towards a better model. Cosmological observations, however, rely on signals that are produced and affected by the light sector (regular matter or baryons). Therefore, before we can rule out the standard model we need a reliable treatment of the light sector effects.

This project will combine the results of high and low resolution hydrodynamical simulations using Machine Learning, to study the impact of the light sector on cosmological signals. The resulting models from this project will be included into a Halo Model framework and used to analyse observational data. 

Recruitment Event

You will join a strong and supportive research team. To help better understand the aims of the CDT and to meet the PhD supervisors, we are hosting a day-long event on campus on Monday 15th January 2024. At that event, there will be an opportunity to discuss your research ideas, meet potential PhD supervisors, as well as hear from speakers from a variety of backgrounds (academia, industry, government, charity) discussing both STFC and data science as well as their personal paths and backgrounds. Travel and accommodation (if needed) will be covered, but funds are limited, so please register early.  Click for details

Please note:

Please list all Newcastle hosted projects you are interested in in your cover letter. You are strongly encouraged to list multiple projects, since some projects are more popular than others. You only need to submit one application even if you are interested in multiple projects (we recommend you submit your application to your first choice). 

For further details of how to apply, entry requirements and the application form, see

Computer Science (8) Physics (29)


Halo Model Review:
Halo Model applied to KiDS data:
FLAMINGO simulations:

 About the Project