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Kavli Institute for Cosmology, Cambridge

 

DEPARTMENT/LOCATION: Institute of Astronomy

SALARY: £27,929 - £32,348 or £34,308 - £42,155

REFERENCE: LG33937

CATEGORY: Research

PUBLISHED: 1 November 2022

CLOSING DATE: 15 December 2022

Fixed-term: The funds for these posts are available to 30 September 2026 in the first instance.

The Institute of Astronomy (IoA), Cambridge University expects to appoint one or more postdoctoral researchers to work with Dr Kaisey Mandel on projects in supernova cosmology, transient astronomy, astrostatistics and/or machine learning. Dr Mandel's interdisciplinary research group spans the Institute of Astronomy, Kavli Institute for Cosmology, and the Statistical Laboratory of the Department of Pure Mathematics and Mathematical Statistics. Appointments to the StatsLab (DPMMS) are possible. Negotiable starting dates from ASAP through to October 2023.

Experience in statistical modelling/computation, machine learning, supernova observations/data analysis, and/or transient surveys is desirable. The successful applicants will have opportunities to work with novel datasets from the Young Supernova Experiment, UKIRT, and HST, and prepare for upcoming surveys with 4MOST and LSST.

The successful applicants will be expected to pursue research independently and collaboratively, develop a high degree of interaction with the faculty, postdoctoral researchers and research students, and actively contribute to the life of the department. They will disseminate their research findings via publications or other appropriate media, such as international workshops and conferences. They will be encouraged to participate in the teaching and learning programmes of the department as well as in the supervision of postgraduate research students and outreach events.

Applicants must have a PhD in Astronomy, Statistics, or a related field, or have satisfied the requirements for the PhD, by the time of appointment. Applicants must possess a scientific publication record and a clear outline of current and future research areas of interest. Applicants must have excellent communication and computing skills and are expected to produce scientific articles for publication in peer-reviewed journals.

Successful candidates who have not been awarded their PhD will be appointed at Grade 5, (Research Assistant - £27,929 to £32,348 per annum) and upon award, promoted to Grade 7, (Research Associate - £34,308 to £42,155 per annum).

The University of Cambridge thrives on the diversity of its staff and students. Applications from underrepresented groups are particularly welcome. We have an active Equality and Diversity Committee which continually works to further the aims of the Athena SWAN charter. The University has a number of 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 IoA 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.

The closing date for applications is 23:59 GMT on Thursday, 15th December 2022. Please refer to further particulars for full instructions and be aware that referees will be asked to supply references by 22nd December 2022. If you have any queries about your application please contact (hr(at)ast.cam.ac.uk). Informal enquires may be addressed to Dr Kaisey Mandel (kmandel(at)ast.cam.ac.uk)

Please quote reference LG33937 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 University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online