Rodeo
ResourcesPartnersSign in

University of Surrey

Research Fellow in Stellar Streams

Guildford
£37.6k – £41.1k/yr
Posted about 18 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The Role Will Involve

  • building a census of simulated streams with a variety of perturbations;
  • comparing CPU and GPU codes for generating and perturbing streams;
  • using likelihood-based and simulation-based inference techniques for exploring subhalo properties;
  • measuring the properties of subhaloes in the Milky Way;
  • publishing results in leading journals and presenting the work at national and international meetings;
  • contributing to the S5, LSST, WEAVE, and 4MOST collaborations where appropriate;
  • contributing to the wider research culture of the Astrophysics Research Group at Surrey.

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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

This is a fixed-term, full-time position until 30/09/2029, and is planned to start in October 2026.

About You

You will have:

  • a PhD in astrophysics, physics or a closely related discipline;
  • experience with research in Galactic Dynamics;
  • programming experience relevant to scientific research;
  • the ability to communicate research clearly through written work, presentations and collaboration;
  • a track record of research outputs appropriate to your career stage;
  • the ability to work both independently and as part of a collaborative research team.

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:

  • a CV, including a list of publications;
  • a cover letter explaining your interest in the role and how your experience fits the project.

Interviews are expected to take place in early August and will be online.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Astrophysics
Physics
Galactic Dynamics
Programming
Research
Collaboration
Machine Learning
Statistical Inference
Data Analysis
GPU Computing
Simulation
Publications
Presentations
Quantitative Skills
Computational Skills
Independent Research

Location

Guildford, England, United Kingdom

Sign up to applySee more jobs like this