| Location: | Guildford |
|---|---|
| Salary: | £37,694 to £41,064 per annum |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 10th July 2026 |
|---|---|
| Closes: | 30th July 2026 |
| Job Ref: | 031626 |
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively and individually make a real difference.
The role
We are seeking an enthusiastic and creative postdoctoral researcher to join a 3-year STFC-funded project exploring one of the central questions in astrophysics: what is dark matter made of? The project, Stellar streams as seismometers for dark matter subhaloes, is led by Dr Denis Erkal alongside Dr Eugene Vasiliev.
During this project, data from Gaia, LSST, WEAVE, 4MOST, and S5 will provide the richest dataset to date for studying perturbations to stellar streams. The successful candidate will work on multiple facets of this problem. First, they will explore how perturbations to streams develop from a variety of baryonic effects. This catalogue of perturbed streams will be used to test how well subhaloes can be inferred, and which streams in the Milky Way are the cleanest detectors. Second, working with collaborators to exploit upcoming datasets, we will identify the most promising streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by reproducing the stream's statistical properties.
The role will involve:
The successful candidate will be encouraged to develop their own research ideas within the broad themes of the project and to build an independent research profile.
About you
You will have:
We recognise that candidates come from a range of research backgrounds. We are looking for candidates with strong quantitative and computational skills who are excited to develop expertise in stellar streams as part of the project.
How to apply
Applications should be submitted online via the University of Surrey jobs portal. Please include:
Interviews are expected to take place in early August and will be online.
Further details
For more information and to apply online, please download the further details and click on the 'apply online' button above.
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