We seek to appoint a highly-motivated postdoctoral researcher to conduct original research on advanced machine-learning for analysis of photometric and spectroscopic extragalactic survey datasets. The research will prepare the path for the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). The successful applicant will be part of the European Research Council Advanced Grant CosmicExplorer project, led by Professor Hiranya Peiris at the Institute of Astronomy in Cambridge (www.ast.cam.ac.uk). The position will involve original research in cosmology and/or galaxy evolution using survey data.
The Vera C. Rubin Observatory
The Vera C. Rubin Observatory is a next-generation astronomical facility currently under construction in Chile with first light expected in the next few months. Rubin's LSST will be one of the largest and most comprehensive astronomy surveys of its kind, enabling countless astronomical and physics discoveries. Within the ERC Advanced Grant CosmicExplorer project, the successful candidate will join a highly collaborative international team building advanced machine-learning methodologies to solve analysis challenges posed by the coming Rubin data.
Candidate Information
We seek candidates with significant experience of one or more of the following: developing and applying novel statistical and machine learning techniques, writing production-level code for analysis of relevant cosmological datasets, and/or preparing for the coming LSST data by analyzing precursor surveys. In the appointment process, special attention will be given to research skills in one or more of: image-level and/or spectroscopic data analysis (for the latter, especially with DESI); modelling the galaxy-halo connection; and/or expertise in relevant spectral synthesis tools (stellar population synthesis, photoionization simulators).
The role-holder will contribute to research excellence as a member of a highly collaborative international research team, with the role providing substantial scope for exercising academic judgement, originality, interpretation and presentation of results. The role-holder will develop a high degree of interaction with staff and students, disseminate their research findings via publications or other appropriate media, such as international workshops and conferences, and will be encouraged to participate in teaching, learning, and outreach activities.
A successful candidate with a PhD will be appointed at Grade 7 (Research Associate - £36,924 - £45,163 per annum). A candidate who has not been awarded their PhD will initially be appointed at Grade 5 (Research Assistant - £33,882 - £34,866 per annum) and, upon award of PhD, promoted to Grade 7.
The University of Cambridge provides a vibrant research environment in cosmology. The interdepartmental Kavli Institute for Cosmology, Cambridge (KICC) is co-located on the IoA site, fostering connections with other groups conducting complementary cosmological research across Cambridge.
The University of Cambridge thrives on the diversity of its staff and students. Applications from underrepresented groups are particularly welcome. The University has several family-friendly policies and initiatives, including a returning-carer scheme, childcare costs support, University workplace nurseries, University holiday play-schemes, and a shared parental leave policy. As part of its commitment to providing a family-friendly environment for researchers, the Institute ensures that should parental leave be needed during the course of employment, there is provision for extension to contract to compensate for the parental leave taken.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Please upload your CV, cover letter, publications list and research statement (3x A4 pages max, 11pt font) in the Upload section. Please carefully read the Further Particulars for the role, and ensure your cover letter briefly describes how you meet the criterion detailed in the Person Specification grid and why you are applying for this role. The names and contact details of 3 academic referees are essential. Please advise referees that references will be requested for 13 January 2025.
Closing date: 09:00am GMT, Monday, 13 January 2025.
Applications will be reviewed after the closing date. Short-listed candidates will be invited to attend an online interview via Zoom shortly after.
Starting date: To be agreed.
Fixed-term: The funds for this post are available for 3 years in the first instance.
Please quote reference LG43994 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The Institute particularly welcomes applications from women and/or candidates from a BME background for this vacancy as they are currently under-represented.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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