Location: | Cambridge |
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Salary: | £29,605 to £44,263 pa |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 2nd August 2024 |
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Closes: | 20th September 2024 |
Job Ref: | LG42614 |
Fixed-term: The funds for this post are available until 31 March 2026 in the first instance with good prospects for further extension subject to grant funding. The anticipated start date is 1st December 2024 or as early as possible thereafter.
This is an exciting opportunity for an enthusiastic Astronomical Data Scientist to work within the Cambridge Astronomical Survey Unit (CASU) at the Institute of Astronomy (IoA) as part of CASU's spectroscopic analysis system development team.
The successful candidate will join CASU's software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines. Responsibilities range from monitoring instrument health and scientific quality of the data, tracking progress of the surveys, to preparing for community observing campaigns and data releases. The role’s additional duties involve supporting computational infrastructure, coordinating with wider spectroscopic project teams and external science users, contributing to documentation and user manuals, and collaborating on research programs to optimise data interpretation and usage. There are also opportunities to participate in data analysis science under CASU's broader astronomical and medical programmes.
Applicants will have a Ph.D. in astronomy or a related field and have a strong computing and programming background. Candidates are expected to be familiar with the acquisition and reduction of data from astronomical facilities and with the use of database and web-based systems. Previous experience in the development of software for large-scale spectroscopic surveys is desirable. Experience and practical knowledge of Python to query databases, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful. Systems engineering experience is also relevant for this position.
Salary will be on the Research Associate scale (grade 7, from £36,024 to £44,263). Appointment as a Research Associate (grade 7) is dependent on having a PhD. Those who have submitted their thesis but not yet been awarded their PhD will initially be appointed as a Research Assistant and amended to Research Associate when the PhD is awarded. The Research Assistant salary (grade 5) falls within the range £32,982 to £33,966.
The University of Cambridge thrives on the diversity of its staff and students. Applications from underrepresented groups are particularly welcome. See the further particulars for the detail of the family friendly initiatives on offer.
How to apply
To apply online for this vacancy and to view further information about the role and the application process, please click 'Apply 'above.
The application deadline is 23:59 BST on Friday 20th September 2024. Where applicable, referees will be requested to provide references by 7th October 2024.
Applications will be reviewed after the closing date and interviews are provisionally planned for: w/c 14th October 2024.
Informal enquires can be addressed via email to Dr Nicholas Walton: naw@ast.cam.ac.uk. If you have any queries regarding the application process please contact HR@ast.cam.ac.uk.
Please quote reference LG42614 on your application and in any correspondence about this vacancy.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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