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Postdoctoral Researcher in Radio Astronomy Simulations | Closing date: 2021-08-31 Contact: Claire Taylor |
At the SKAO we are coordinating a global effort to deliver one fo the largest science facilities on the planet. The SKAO telescopes will be next-generation instruments that will help to answer key questions in astrophysics, drive technological innovation and support human capital development.
A unique opportunity for a Postdoctoral research position in Radio Astronomy Simulations.
To found out more and to apply : https://recruitment.skatelescope.org/vacancy/postdoctoral-researcher-in-radio-astronomy-simulations-440429.html
| ▸ more | The Role
The successful candidate will play a major part in developing solutions for the SKA Science Data Challenge in collaboration with existing Science and Operations team members. This initiative aims to release with a regular cadence increasingly realistic simulated SKA datasets and data products to the international scientific user community, together with a specific data analysis exercise for them to solve (the “challenge”) and a set of tools and services to support the completion of the exercise and the evaluation of the results.
The post holder will report to the SKA Project Scientist and be responsible for the coordination of the SKA Science Data Challenges.
The role is a 3-year fixed term contract. Full-time hours will be 35 hours per week and flexible working may be considered compatible with reviews, milestones and office activities.
Key Responsibilities, Accountabilities and Duties
Development of radio astronomy simulations of SKA data products using existing packages and code as well as customised packages and code in collaboration with the SKAO Science and Operations teams;
Development of astrophysical sky models for use in radio astronomy simulations in consultation with the SKA user community;
Development and maintenance of tools to support the challenge progression (e.g. data challenge website, community forum, evaluation procedures);
Publication of data challenges outcomes in major astronomical journals;
Installation and maintenance of astronomy packages and software in a Linux cluster environment;
The role will provide the opportunity for 25 percent independent research.
Mandatory Knowledge, Skills and Experience
A PhD or equivalent in Astronomy, Physics or a closely related field;
Significant familiarity with the major calibration and imaging packages used in Radio Astronomy (AIPS, Miriad, CASA);
Significant familiarity with the underlying algorithms used in calibration and imaging in Radio Astronomy;
Experience with installation, maintenance and customisation of astronomical software packages in a Linux/Unix/MacOSX environment;
Experience with Python Scripting;
A flexible team player who is adaptable to change.
Desirable Knowledge, Skills and Experience
Knowledge of Software development including Version control/code collaboration tools (e.g. Git, Mercurial);
Knowledge of Open science and FAIR principles;
Knowledge of Code Optimization for multi-processor CPUs and/or GPUs.
Equality Diversity and Inclusion Statement
SKA Observatory recognises that our diversity is a strength. We aim to create a welcoming and inclusive environment where everyone feels they belong, and diverse perspectives and ideas thrive. As such, Equality, Diversity, and Inclusion are at the core of SKA Observatory?s agenda.
Our aim to is recruit and retain the most talented individuals, regardless of gender, race, disability, age, sexual orientation, marital status, religion, nationality or background.
Women have traditionally been under-represented in the fields of science and engineering; SKA Observatory welcomes and encourages female applicants.
Where applicants with a disability need facilities or adjustments to enable them to participate in the recruitment process, these will be provided.
SKA Observatory welcome all candidates, especially those from member countries.
The ?How to Apply? information contained within the SKA Observatory recruitment portal provides more detail regarding our application and selection approach.
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