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Research support assistant 2025 / CP / 086

European Commission

Bilbao

Presencial

EUR 15.000 - 25.000

A tiempo parcial

Hace 8 días

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Descripción de la vacante

Una institución de investigación en España busca un investigador en informática para un contrato temporal en desarrollo de algoritmos sostenibles. El candidato ideal tendrá un fuerte trasfondo en técnicas de aprendizaje automático y desarrollo de software. Este rol, que se alinea con un proyecto sobre robótica sostenible, es a tiempo parcial y está diseñado para jóvenes investigadores en su primera etapa profesional. Las solicitudes se evaluarán en base a criterios de méritos específicos.

Formación

  • Grado en Ciencias y Tecnología o formación relacionada requerida.
  • Experiencia demostrable en aprendizaje automático y desarrollo de software.
  • Conocimiento en lenguajes de programación como Python y C.

Responsabilidades

  • Desarrollar algoritmos computacionales eficientes.
  • Aplicar inteligencia artificial a desafíos de desarrollo sostenible.
  • Trabajar en robótica sostenible.

Conocimientos

Aprendizaje automático
Desarrollo de software
Programación en Python
Programación en C

Educación

Bachillerato en Ciencias y Tecnología
Formación profesional de grado superior

Herramientas

GitHub

Descripción del empleo

Organisation / Company : University of A Coruña

Research Field : Computer science » Programming

Researcher Profile : First Stage Researcher (R1)

Positions : Undergraduate Positions

Country : Spain

Application Deadline : 27 May 2025 - 15 : 00 (Europe / Brussels)

Type of Contract : Temporary

Job Status : Part-time

Offer Starting Date : 1 Jul 2025

EU Funded : No

Reference Number : 2025 / CP / 086

Research Infrastructure Staff Position : No

Offer Description

The objective of this contract is to collaborate in research within the framework of the project, focusing on green algorithms. Responsibilities include developing computationally efficient algorithms, applying artificial intelligence to sustainable development challenges, and working on sustainable robotics.

Candidates must have a Baccalaureate, BUP, FPII, or higher vocational training cycle degree. Joining CITIC during the contract period is mandatory.

Additional Information

Eligibility criteria :

Assessment of merits (max 100 points) :

  • Qualification (max 20 points) : 20 points for Science and Technology Baccalaureate, Vocational Training (FPII), or related higher vocational training. 10 points for other Baccalaureate branches, BUP, FPII, or non-related vocational training.
  • Experience in the field (max 20 points) : Demonstrable experience in machine learning and software development, assessed through projects on platforms like GitHub. Up to 10 points for programming languages (Python, C, etc.) and up to 10 for related subjects.
  • Work experience (max 20 points) : Up to 2 points per month in projects related to machine learning and AI, including scholarships.
  • English proficiency (max 10 points) : From 1 point (A1) to 10 points (C2).
  • Other merits (max 10 points) : Courses, awards, etc., with points depending on scope (regional, national, international) and participation in summer schools.
  • Personal interview (max 20 points) : For top three candidates with scores less than 15% below the highest.

The maximum total score is 100 points.

Selection Process

Application : Submit via UDC online services, addressed to the Office of the Vice-Rectorate for Research and Transference, including the call reference.

Deadline : 5 working days after publication on the official bulletin board.

Committee & Results : A minimum of 3 members, including the project head and research team members, will form the committee. Results will be published on the official bulletin board.

Additional Comments

The contract duration is 9 months, aligned with the project timeline. Candidates must submit a detailed application highlighting merits according to the specified criteria. A merit-based priority list will be established, with a minimum score of 15 points (excluding interview) to qualify for the waiting list.

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