In the framework of ALLIES Marie Skłodowska-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 https://www.iaa.csic.es/) y el Instituto de Ciencias de Espacio (ICE-CSIC 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, 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): javier@iaa.csic.es

Dr. José Ramón Rodón (IAA-CSIC, Granada, Spain): rodon@iaa.csic.es

Dr. Aldo Serenelli (ICE-CSIC, Bellaterra, Barcelona, Spain): aldos@ice.csic.es

And consult the link:

https://aihub.csic.es/en/allies-cofund-big-data-analysis-techniques-applied-to-simulated-data-for-the-preparation-of-the-space-mission-plato/

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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:

https://aihub.csic.es/en/allies-cofund-how-to-apply/

Link to submit your application:

https://chairingtool.com/conferences/allies-cofund-second-call/main/dashboard/submissions

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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!