Marie Sklodowska-Curie Actions (MSCA) program, Two-Year Fellowship in: "Big Data analysis techniques applied to simulated data for the preparation of the space mission PLATO"
Centro/Institution:
Instituto de Astrofísica de Andalucía IAA-CISC, Instituto de Ciencias del Espacio ICA-CSIC
Tipo/type:
Postdoctoral
País/Country:
Spain
Fecha inicio solicitud:
Vie, 20/09/2024
Fecha límite solicitud:
Vie, 20/12/2024
Descripción/Description:
In the framework of ALLIES Marie Sklodowska-Curie Actions (MSCA) program, we are glad to offer a Two-Year Fellowship position in:
"Big Data analysis techniques applied to simulated data for the preparation of the space mission PLATO"
What we are looking for:
We are seeking innovative research proposals that explore Artificial Neural Networks (ANNs) as a pioneering and breakthrough way to interpret observations by combining theoretical stellar models, stellar population models, and prescriptions for observational biases. The selected PostDoc will join a multidisciplinary research group between the Instituto de Astrofísica de Andalucía (IAA-CSIC ?url=https%3A%2F%2Fwww.iaa.csic.es%2F&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.iaa.csic.es%2F&module=jobs&id=3191" target="_blank" rel="nofollow">https://www.iaa.csic.es/) y el Instituto de Ciencias de Espacio (ICE-CSIC ?url=https%3A%2F%2Fwww.ice.csic.es%2F&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.ice.csic.es%2F&module=jobs&id=3191" target="_blank" rel="nofollow">https://www.ice.csic.es/ ).
Background in knowledge of AI principles, technics and previous works in this area will be taken in consideration.
Our problem:
PLATO is a space mission from the European Space Agency which is aimed to detect and characterize Earth analogs and their hosting stars. The mission will collect a huge amount of data, and there is the strong need to implement the stellar models and theoretical simulations in order to extract the information. The development of Artificial intelligence (AI) systems provide a unique opportunity to exploit both observations and models and push the current limits of our knowledge of stars and planets.
Javier Pascual, J.R. Rodón (IAA-CSIC, Granada, Spain), and Aldo Serenelli (ICE-CSIC, Barcelona, Spain) are joining efforts to implement a promising holistic approach where AI is used to extract the physical information both from observations and stellar models in preparation for the PLATO space mission, which will be launched at the end of 2026.
International collaborations and stages:
The proposal has been developed in collaboration with two international research groups, belonging to centres of excellence in astrophysical research: CAUP-Centro de Astrofísica da Universidade do Porto (PT, https://www.astro.up.pt/ ); LESIA Paris Observatory (FR, ?url=https%3A%2F%2Flesia.obspm.fr%2F&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Flesia.obspm.fr%2F&module=jobs&id=3191" target="_blank" rel="nofollow">https://lesia.obspm.fr/ ).
Short stages in these centres are planned for the ALLIED program postdocs.
For further informations please contact:
Dr. Javier Pascual (IAA-CSIC, Granada, Spain): javieriaa.csic.es
Dr. José Ramón Rodón (IAA-CSIC, Granada, Spain): rodoniaa.csic.es
Dr. Aldo Serenelli (ICE-CSIC, Bellaterra, Barcelona, Spain): aldosice.csic.es
And consult the link:
?url=https%3A%2F%2Faihub.csic.es%2Fen%2Fallies-cofund-big-data-analysis-techniques-applied-to-simulated-data-for-the-preparation-of-the-space-mission-plato%2F&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Faihub.csic.es%2Fen%2Fallies-cofund-big-data-analysis-techniques-applied-to-simulated-data-for-the-preparation-of-the-space-mission-plato%2F&module=jobs&id=3191" target="_blank" rel="nofollow">https://aihub.csic.es/en/allies-cofund-big-data-analysis-techniques-applied-to-simulated-data-for-the-preparation-of-the-space-mission-plato/
Eligibility criteria:
Researchers must not have resided or carried out their main activity in Spain for more than 12 months in the 3 years immediately before the call deadline.
Researchers must possess a doctoral degree at the deadline of the programme’s call.
Researchers who have successfully defended their doctoral thesis but have not yet formally been awarded with the degree are also eligible.
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How to apply:
Submit your application through the official program’s recruitment platform before 20th December 2024
Document to submit:
Curriculum Vitae European Format
Academic Records (Postgraduate Education)
Research proposal aligned with an ALLIES theme
Motivation Letter
Two Recommendation Letters
Proof of English
For further information:
?url=https%3A%2F%2Faihub.csic.es%2Fen%2Fallies-cofund-how-to-apply%2F&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Faihub.csic.es%2Fen%2Fallies-cofund-how-to-apply%2F&module=jobs&id=3191" target="_blank" rel="nofollow">https://aihub.csic.es/en/allies-cofund-how-to-apply/
Link to submit your application:
?url=https%3A%2F%2Fchairingtool.com%2Fconferences%2Fallies-cofund-second-call%2Fmain%2Fdashboard%2Fsubmissions&module=jobs&id=3191" target="_blank" rel="nofollow">?url=https%3A%2F%2Fchairingtool.com%2Fconferences%2Fallies-cofund-second-call%2Fmain%2Fdashboard%2Fsubmissions&module=jobs&id=3191" target="_blank" rel="nofollow">chairingtool.com/conferences/allies-cofund-second-call/main/dashboard/submissions
ALLIES Program
Leading AI Research, Shaping Global Futures
A postdoctoral training program in Artificial intelligence led by the Spanish National Research Council, coordinated through the AIHUB Connection, and co-funded by the European Union. ALLIES aims to recruit postdoctoral researchers who will conduct interdisciplinary and intersectoral research in Artificial Intelligence aligned with the Sustainable Development Goals
Innovative Two-Year Fellowship Program
The ALLIES program offers a two-year fellowship to postdoctoral researchers who will work in his/her research project supervised by two CSIC senior researchers gaining valuable experience and broaden their researcher’s impact.
Excellence in AI, Robotics, and Data Science
ALLIES is a collaboration of 18 CSIC research institutes excelling in AI, Big Data, Machine Learning, Robotics, and Data Science. They adopt a bottom-up methodology to address 9 critical AI challenges mentioned in the CSIC AI White Paper.
Collaboration and Excellence in AI Research
ALLIES creates an ecosystem of collaborative growth form by CSIC institutes with AI expertise, diverse research landscapes, and advanced training facilities. Fellows will have access to modern research facilities and international collaborations with industrial and other academic partners
Customized Training for AI Innovators
ALLIES provides a customized training program that emphasizes scientific excellence, transferable skills, and entrepreneurial acumen to prepare its fellows to lead the future of AI research.
Join ALLIES: Leading AI Research, Shaping Global Futures!