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PRE-DOC -THE SUSTAINABLE ARTIFICIAL INTELLIGENCE RU

Descripción de la oferta de empleo

Who are we looking for ?

The Sustainable Artificial Intelligence (SAI) unit is looking for young researchers with experience in machine learning for working in the EU GREENEDGE project. The researcher will carry on investigation on the design and implementation of ML algorithms for goal-oriented communications in scenarios with edge devices have limited computational capabilities and energy budget, the so-called Artificial Intelligence of Things (AIoT). The lightweight ML models have to consider brain-inspired learning architectures to be integrated into neuromorphic hardware and fit with the low computational capabilities of the devices.

More information on the research unit: https://www.cttc.cat/sustainable-artificial-intelligence-sai/ and https://supercom.cttc.es/.

More information on the GREENEDGE project: https://greenedge-itn.eu/

Requisitos del puesto

Qualifications and Experience

  • We are looking for a highly motivated, enthusiastic, energetic person, aiming at significantly improving his or her career perspectives in both public and private sectors. The successful applicant should have the competencies of R1 category.
  • Required qualification/skills/ experience:

-At the time of recruitment, the applicant must not have lived in Spain for more than 12 months in the previous 36 months (3 years).

– No more than 4 years spent in research/work activities after the achievement of the MS degree.

– A Master’s degree in Telecommunications, Computer Science, Data Science or equivalent.

– Knowledge on machine learning and edge computing.

  • Other skills that are valuable, but not mandatory are:

– Knowledge of Optimization Theory (convex and non-convex optimizations) and Distributed Machine Learning (edge intelligence) is an advantage.

– Programming skills (e.g., Python, TensorFlow, Keras, PyTorch, SciKit, NumPy, R) is an advantage.

Even if you do not meet all the requirements, we encourage you to apply.

The candidates’ past performance but also future potential will be considered as criteria for selecting researchers.

Otros datos del puesto

What do we offer? :

  • We offer a predoc position as early stage researcher in the framework of MSCA ETN EU funded projects
  • Annual gross salary according to the profile of the candidate
  • Full-time contract: 7,5 h/day. Flexibility
  • Expected professional category: R1 .

Exceptional candidates may be considered even if they do not meet all the requirements. In this case the professional category will be based on the qualifications and experience of the applicant according with CTTC professional categories procedure(https://www.cttc.cat/wp-content/uploads/2023/09/Update-professional-categories.pdf).

  • Tenure track: Career progression with possibility of stabilization trough a permanent structural contract
  • Prospect start date: March 2024
  • Continuous training, access to lab facilities, state of the art infrastructure and polyvalent working spaces, participation in scientific events and R&D projects, complementary skills development.
  • Phd fees paid by CTTC
  • We have great benefits for employees:
    • Paid time off: vacation (33 working days per year), holidays, sick and parental leave and more
    • Up to 3 days of Telework per week (2 fixed + 1 upon request). Other requests may be studied to accommodate special needs.
    • Flexible working hours for work-life balance
    • Tax-free optional benefits: restaurant ticket, nursery ticket, transport pass, private health insurance for employees and family.
    • Career path promotion (either professional category and/or annual gross salary)
    • Annual productivity upon performance
    • Possibility to complement the salary with personal grants

Link to the full job description: https://www.google.com/search?client=firefox-b-d&q=centre+tecnol%C3%B2gic+de+telecomunicacions+de+catalunya

Inscribirse a la oferta

Detalles de la oferta

Localidad
Dirección
  • 08860 - Av. Carl Friedrich Gauss, 7
Tipo de Contrato
  • Indefinido, jornada completa
Salario
  • 20000€ - 30000€
Fecha de publicación
  • 22/12/2023
Fecha de expiración
  • 06/06/2024
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