UCL Department of Space and Climate Physics


Job Vacancies

Safety and Estates Officer
An exciting opportunity has arisen for a Safety and Estates Officer to join the Department of Space and Climate Physics (Mullard Space Science Laboratory), University College London (UCL).  The role will specialise in overseeing Health and Safety within the Department, both at the main site in Holmbury St Mary and at the departmental offices in London.  
The post holder will ensure that safe working practices are followed and that the Departmental facilities support the short, medium and long term goals of the Department.  The post holder will also oversee the maintenance of the buildings and the grounds of the Department, act as the point of contact for building works and contractors, and prepare submissions for project requests, liaising with Estates.  
This is a permanent, full-time position.
Key Requirements
The successful candidate is expected to be educated to A Level standard or have equivalent experience, as well as have a NEBOSH certificate in Health and Safety or a NEBOSH Diploma.  
Experience of conducting health and safety inspections, and good communication and interpersonal skills to liaise with the multiple user groups both internal and external to the university are also essential requirements for this position.
Closing date: Midnight 31st Jan 2022.
Full details of the Safety and Estate Officer position can be found here.
Research Fellow in Exoplanet Characterisation
The Department of Space and Climate Physics, University College London (UCL), seeks to appoint a motivated Research Fellow in Exoplanet Characterisation. The appointment will be for three years in the first instance (the grant ends on 31st March 2025) to work in the research group led by Dr Vincent Van Eylen, Associate Professor in Exoplanets.
 Part-time applications will be considered. The starting date is flexible with the earliest starting date in April 2022. 
The successful candidate will be expected to conduct exciting research related to “understanding planets through their host stars”, a project funded by the UK’s Science and Technology Facilities Council (STFC). They will address major open questions, such as what happens to exoplanet systems as their host stars evolve off the main sequence and become sub-giant and red giant stars, and seek to understand the evolution of planetary systems over time. To do so, they will determine the occurrence of planets orbiting evolved stars and compare that to their main sequence counterparts, capitalising on novel observations by the NASA Transiting Exoplanet Survey Satellite (TESS). 
Understanding the precise characteristics and evolutionary stage of the host stars is a crucial part of the picture, and the successful candidate will seek to bring together stellar characterisation, leveraging information from e.g., asteroseismology and Gaia observations, and exoplanet science. In doing so they will be in an ideal position to maximise the science gain from the upcoming ESA PLAnetary Transits and Oscillations of stars (PLATO) mission. The candidate is encouraged and expected to develop and pursue independent research ideas related to the detection and characterisation of transiting exoplanets with TESS and exoplanet science in a broader sense.
Key Requirements
The successful candidate is expected to  hold or about to receive a PhD in a relevant scientific or a closely related discipline.  Proven ability in research and evidence of quality research output in the relevant field, and experience with the detection and characterisation of transiting exoplanets and/or the characterisation of planet host stars using asteroseismology or other tools are also essential requirements for this post. 
Closing date: Midnight 15 Feb 2022.
Full details of the Research Fellow in Exoplanet Characterisation position can be found here
Research Fellow in Artificial Intelligence for Imaging
The department of computer Science is seeking to recruit a researcher position at Grade 7 in Artificial Intelligence for Imaging.
Duties of the post holder include developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the LEXCI programme. They may be asked to assist in the supervision of student projects, the support of development of student research skills, provide instruction and plan/deliver seminars relating to the research area of LEXCI. 
This post is available to start as soon as possible but not later than September 2022 and is funded for 2 years in the first instance with the option of transitioning to an open-ended appointment as a staff scientist within UCL Advanced Research Computing (ARC) Centre at the end of this period, subject to satisfactory performance evaluation.
Key Requirements
Applicants must have (or be about to receive) a PhD degree in mathematics, statistics or computer science (or a closely related discipline). The ideal candidates will be experienced in one or more of the following areas: inverse problems, machine learning, statistics, probability theory, Bayesian inference, mathematical imaging, mathematical or computational analysis, optimisation and/or data science. Experience in programming is essential (e.g. Python, Tensorflow).
Appointment Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £32,217 - £33,958 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis
Closing date: Midnight 21 Feb 2022.
Full details of the Research Fellow in Artificial Intelligence for Imaging position can be found here
MSSL engineering working on the Swift UVOT instrument

UCL Jobs

For opportunities to work at MSSL, please visit the UCL Jobs pages

Student and supervisor studying data at MSSL

PhD Opportunities

For opportunities to study at MSSL, please visit our Study pages


MSSL Brochure (pdf):
The Mullard Space Science Laboratory

About UCL:
London's leading multidisciplinary university

Need to find someone?
Search our staff profiles.

A-Z of MSSL groups:
Science, Technology and Proffesional service groups

General Enquiries:

MSSL office
+44 (0)1483 204100