PhD Projects/Studentships available
Please click here for the online application form
The ARI research activity focuses on Galaxy Formation & Evolution, Computational & Theoretical Galaxy Formation, Time Domain Astrophysics, Star Formation & Stellar Populations and Astronomical Instrumentation. Available PhD projects are listed below. Since this list is incomplete, we encourage potential students to contact staff in their fields of interest for PhD projects and details.
- Galaxy Formation and Evolution
- Understanding How Galaxy Clusters Evolve - Prof Chris Collins, Dr Ivan Baldry
- Clusters in the era of eROSITA - Prof Chris Collins, Dr Ian McCarthy, & Dr Ivan Baldry
- The luminosity and mass functions of satellite versus central galaxies - Prof Ivan Baldry
- Hubble Space Telescope Survey of Interacting and Starburst Galaxies - Prof. Nate Bastian
- Testing the Universality of the Stellar Initial Mass Function - Prof. Nate Bastian
- Near-field Cosmology: the Genesis of the Milky Way - Dr. Ricardo Schiavon and Dr. Marie Martig
- Computational & Theoretical Galaxy Formation
- The role of environment in galaxy evolution - Dr Ian McCarthy & Dr Andreea Font
- Preparing for Gaia: Simulations of the Milky Way - Dr Andreea Font
- The role of nuclear bars in shaping of the central regions of spiral galaxies - Dr Witold Maciejewski
- Projects in Computational and theoretical galaxy formation - Dr Ian McCarthy, Dr Andreea Font & Dr Rob Crain
- The Formation and Evolution of Globular Clusters in Cosmological Simulations - Prof. Nate Bastian & Dr Rob Crain
- Time Domain Astrophysics
- The ever-changing Universe - Dr David Bersier
- Novae, and their Potential as Progenitors of Type Ia Supernovae - Dr Matt Darnley & Prof. Mike Bode
- Modelling Nova spectra with a Monte Carlo code - Prof. Paolo Mazzali & Dr Matt Darnley
- Electromagnetic Counterparts of Gravitational Wave Sources - Prof. I Steele & Dr Chris Copperwheat
- The evolution of massive stars to supernova - Dr Ben Davies, Prof Paolo Mazzali, Prof Maurizio Salaris
- Modelling of Supernovae in the Nebular phase - Prof. P. A. Mazzali
- Properties of Type Ia Supernovae and application to Cosmology - Prof P. Mazzali, Prof. P. James & Dr D. Bersier
- Superluminous Supernovae: a first attempt to develop a physical model - Prof P. A. Mazzali
- Type Ib/c Supernovae, host galaxies and Gamma-ray Bursts - Prof P. A. Mazzali, Prof. P. James & Dr D. Bersier
- The Nature of Gamma-Ray Bursts - Prof S. Kobayashi, Prof I. Steele, Prof P. Mazzali & Dr Daniel Perley
- The High-z Galaxy Population Probed by GRBs as a Cosmological Tool - Dr Daniel Perley
- Relativistic Phenomena around Black Holes - Prof S. Kobayashi
- Type Ia supernova progenitor diversity with MUSE - Prof. Phil James
- Investigations of the mysterious supernovae class: type IIn - Dr Stacey Habergham & Prof. Phil James
- Star Formation and Stellar Populations
- Accretion and Outflow from Young Stars: Understanding the Formation of Jets, Accretion Disks, and Planetary Systems - Dr T Moore
- Understanding star formation in the Milky Way - Dr T Moore
- Star and Planet Formation: Nature vs Nurture - Dr Steve Longmore
- Using an "Uncertainty Principle" for star formation to understand galaxy formation - Dr Steve Longmore and Dr Diederik Kruijssen
- Multiple Stellar Populations in Globular Clusters - Prof. Nate Bastian, Dr. Ben Davies, Dr. Steve Longmore and Prof. Maurizio Salaris
- Tools for Survey Astronomy: Automatic Analysis of the Spectra of Stars, Clusters, and Galaxies - Dr. Ricardo Schiavon and Dr. Ben Davies
- Astronomical Instrumentation
- Fast photometry and polarimetry using CMOS Detectors - Prof Iain Steele & Dr Chris Copperwheat
- A Machine Learning Approach to Telescope Scheduling - Prof Iain Steele, Dr Robert Smith, Dr Chris Copperwheat (ARI) and Dr Dhiya Al-Jumeily (Computer Science)
Liverpool Centre for Doctoral Training (CDT) in Data Intensive Science: LIV.DAT
Please click here for the CDT application procedure
Recent years have witnessed a dramatic increase of data in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, space technology and internet applications. However, currently very little targeted training is provided to address a growing skills gap in this area.
In response, we are creating a new Centre for Doctoral Training (CDT) in data intensive science which will be hosted jointly by the University of Liverpool and Liverpool John Moores University.
As part of this initiative, the Astrophysics Research Institute (ARI) of Liverpool John Moores University is offering up to 6 fully funded four-year PhD scholarships in Data Intensive Science related to STFC’s astronomy research programme. This is part of a new initiative funded by the UK's Science and Technology Facilities Council to establish a Centre for Doctoral Training (CDT), hosted jointly by the University of Liverpool and Liverpool John Moores University.
Analysis and manipulation of Big Data has long been a specialty of researchers in astronomy, particle physics and related areas in the UK and the new centre will be a hub for Big Data training. Managing, analysing and interpreting large, complex datasets and high rates of data flow is a growing challenge for many areas of science and industry.
Students will be based within the ARI and will work on astrophysics projects related to the analysis and manipulation of Big Data. Examples of projects include, but are not restricted to:
- Simulations of low surface brightness galaxy emission recovery from LSST
- Transient classification in the LSST data deluge
- Self consistent annihilation simulations of dark matter
- Using cosmological simulations to develop large-scale structure emulators to constrain dark sector physics
- Viewing cosmological simulations with virtual telescopes; observable properties of core-collapse supernovae
- Observable properties of core collapse supernovae
CDT students will benefit from comprehensive training programme in their own specialised astrophysics cutting edge research area and in data intensive science, through a targeted taught programme of modules at both University’s in areas such as:
- Big Data Analysis
- Monte Carlo techniques
- Data mining
- Computing techniques for big data
As an essential part of the programme, students will take one or more secondments lasting a period of at least 6 months, to a local industry or a research organisation engaged in the development and/or use of data intensive science techniques in a different area to their research project.
CDT students will join our current cohort of 32 PhD students at the ARI. These are engaged in fundamental astrophysics research over our full scientific areas of interest: galaxy formation and evolution; star formation and stellar evolution; time-domain astrophysics; and astronomical instrumentation. The Institute consists of 22 full time academics plus research fellows, PDRAs, technical and admin staff. The ARI owns and operates the robotic 2m Liverpool Telescope as a national facility and is developing a 4m robotic telescope with first light planned for 2022. ARI also hosts the EAGLE and BAHAMAS cosmological simulations.
Liverpool is located in the north west of England and is a city with a rich sense of culture based on its maritime history. It has a thriving music and arts scene and a sharp sense of humour, making it excellent for student living. Liverpool boasts more museums, theatres and art galleries than any other city in the UK outside London. In 2018 Liverpool will be hosting the European Week of Astronomy and Space Science on the Liverpool Waterfront, an iconic UNESCO World Heritage Site on the river Mersey. The ARI and University of Liverpool are located in the knowledge quarter of the city within easy walking distance of each other.
Requirements: the applicants need to have gained a first class or upper second honours degree (or equivalent) or a master's degree in an appropriate subject e.g. astronomy, physics or mathematics. A good command of English to at least IELTS level 6.5 is also required for international applicants. Students will be expected to start on 1st October 2017.
For enquires please contact either Professor Chris Collins (C.A.Collins@ljmu.ac.uk) or Professor Shiho Kobayashi (S.Kobayashi@ljmu.ac.uk).
Applicants should include the following documents with their application: degree certificates and transcript of records, a brief description of their research interests and experience, along with two letters of recommendation. These should be sent directly to Danielle Coogan (D.Coogan@ljmu.ac.uk). Applications submitted by 1st June 2017 will receive full consideration.
LJMU is committed to equality and diversity and encourages applications from all qualified candidates.