Research Associate/Senior Research Associate

Job Summary

Category
Post-doctoral Positions and Fellowships
Institution
University of Cambridge
Department
Institute of Astronomy
Number of Positions Available
1
Work Arrangement
In-Person

Job Description

Fixed-term: The funds for this post are available until 31 March 2022 in the first instance.

This is an exciting opportunity for an ambitious Astronomical Data Analysis Scientist to work within the Cambridge Astronomical Survey Unit (CASU) at the Institute of Astronomy (IoA) located in West Cambrdige as part of the WEAVE spectroscopic analysis system development team.

WEAVE is a major new massively multiplexed optical spectrograph currently under development, to be deployed on the 4.2-m William Herschel Telescope. WEAVE will enable large spectroscopic surveys to be undertaken, observing millions of stars and galaxies during its initial 5 year survey period. WEAVE will be commissioned later 2019, and commence full operations in 2020. The CASU team has developed the spectroscopic pipelines for WEAVE and has responsibility for the final development, commissioning and operations of the data pipelines.

The successful candidate will work within CASU's WEAVE software development team and be responsible for contributing to the development of novel scientific algorithms and applications in the areas of spectroscopic analysis and data mining of the catalogues extracted as an output of the analysis of WEAVE spectroscopic data. The role will also involve: contributions to the supporting computational infrastructure, liaising with the wider WEAVE project team and external science users; contributing to the documentation and user manuals; and collaborating in the WEAVE related research programs to optimise interpretation and use of such WEAVE data. The candidate will also contribute to the development of the analysis pipelines for 4MOST and potentially MOONS. In addition there will be opportunities to participate in image analysis algorithm development, supporting both astronomical and medical image 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 large-scale spectroscopic and image surveys would be advantageous. Experience and practical knowledge of unix based operating systems Linux and/or MacOS and Python scripting languages is a requirement, while knowledge of SQL and database systems would be advantageous.

Salary will be up to circa £32,236 - £39,609 (Research Associate) or for exceptional candidates £40,792 - £51,630 (Senior Research Associate) depending on experience and qualifications.

The position is tenable initially for a fixed term period to 31st March 2022, with good prospects for further extension subject to grant funding.

Starting Date: From 1st September 2019 or as early as possible thereafter.

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/21330.

Please submit your application by midnight of the closing date of Wednesday, 19th June 2019. If you have any queries about your application or require further information, please contact Ms Joy McSharry ([email protected]).

Further information can be obtained from Dr. Nicholas Walton (naw(at)ast.cam.ac.uk ).

It is anticipated that interviews will be held 19, 22 or 23 July 2019.

Please quote reference LG18962 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.

Compensation and Benefits

Included Benefits

What can we offer you.

http://www.jobs.cam.ac.uk/offer/

Application Details

Publication Start Date
2019 May 09
Application Deadline
2019 Jun 19
Reference Code
LG18962

Inquiries

Name
Miss Joy McSharry
Email
jpm(at)ast.cam.ac.uk