A Research Fellow position has become available to undertake research in cosmology with the Legacy Survey of Space and Time (LSST) at the Rubin Observatory, with emphasis on contributing to the preparations for the processing and analysis of data within the Dark Energy Science Collaboration (DESC). The role will have particular focus on the development and testing of algorithms for measurements of photometric redshifts, weak gravitational lensing and galaxy clustering
Post-doctoral Positions & Fellowships - Typically located at a university, college or government lab. Allows recipient to pursue independent research or research support for a specific science program defined by the employer. Is limited to a pre-determined period of time. Usually does not include teaching responsibilities.
The applicant will also interact with a broad range of members in the Astrophysics Group at the Department of Physics and Astronomy. The cosmology group at UCL is very active in observational cosmology, with leading roles in several international projects including: the LSST, the ESA Euclid mission, the Dark Energy Spectroscopic Instrument (DESI) survey, the Kilo Degree Survey (KiDS), and the Dark Energy Survey (DES).
The position will be held at UCL’s main Bloomsbury campus in central London.
However, while restrictions due to the on-going COVID-19 pandemic are in place, flexible working arrangements including options for extended remote working will be negotiated on a case-by-case basis. In any case, successful applicants will still need to comply with UK visa, residency, and employment regulations.
The position is available from September 2021, with some flexibility in the start date.
The post is funded by the UK Science and Technology Facilities Council (STFC) for 2.5 years in the first instance.
The successful applicant will have a PhD in cosmology or related areas of astrophysics. A working knowledge of the fundamentals of physical cosmology is required. Candidates should also demonstrate experience with collaborative research software development, and associated best practice.
Proficiency of the Python language is required, and experience with using high-performance computing infrastructure desirable. Excellent written and verbal communication skills are required, as well as excellent communication skills in a remote working environment.
The successful applicant will be able to analyse and present complex information effectively to a range of audiences.
Appointment at 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 £31,542 - £33,257 per annum, inclusive of London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
For further details about the vacancy and how to apply online please go to http://www.ucl.ac.uk/hr/jobs/ and search on Reference Number 1877351.
If you have any queries regarding the application process, please contact Kay Nakum, email@example.com (+44 (0)20 7679 3458).
In formal enquiries regarding the vacancy can be made to Benjamin Joachimi, firstname.lastname@example.org.
Candidates will need to upload a CV (including a list of publications), a statement of research interests and relevant experience related to the LSST (2 pages maximum), and the contact information for two references.
A cover letter can be included using the “Statement in Support of your Application” section of the online form. Applicants should arrange for two letters of reference to be emailed to Kay Nakum email@example.com by the application deadline.
Closing Date: 26/7/2021
Latest time for the submission of applications: 23:59.
Interview Date: TBC
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