Senior Researcher in Computational Social Science

hace 4 semanas


Barcelona, Barcelona, España Eurecat A tiempo completo

Eurecat, a leading Research & Technology Organisation in Catalonia, seeks a highly skilled Researcher in Computational Social Science to join its team.

The ideal candidate will have a strong background in computer science, physics, mathematics, or engineering, with a proven track record of research in computational social science methods, including graph neural networks, transformers, network analysis, and agent-based modelling.

Responsibilities will include designing and implementing technological solutions, developing tools for collecting, analysing, and modelling social data, and investigating and implementing new algorithms and approaches to solving AI problems.

The successful candidate will also have experience using libraries for data science, machine learning, artificial intelligence, and deep learning, such as Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Keras.

As a key member of the team, the Researcher will contribute to the development of innovative research projects, collaborate with researchers from various disciplines, and participate in drafting proposals for EU-funded projects.

Requirements include a PhD in a relevant field, a strong publication record, and excellent communication and teamwork skills.

Eurecat offers a dynamic and collaborative work environment, opportunities for professional growth, and a competitive salary and benefits package.



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