EURECAT
Eurecat is the main Research & Technology Organisation in Catalonia and the second largest private research organization in southern Europe. It brings together the experience of more than 700 professionals and provides services to more than 2,000 companies. Applied R&D, technological services, highly specialized training, technological consultancy or valorisation and exploitation of industrial property are some of the services that Eurecat offers for both large and small and medium-sized enterprises in all sectors. The technology centre participates in more than 200 large national and international consortium projects of high strategic R&I and has 181 patents and 10 spin-offs. The added value provided by Eurecat accelerates innovation, reduces spending on scientific and technological infrastructures, reduces risks and provides specialized knowledge tailored to each company.
Job description
Eurecat Centre Tecnològic de Catalunya
Eurecat, Technology Centre of Catalonia (member of Tecnio), brings together the expertise of 650 professionals and serving more than 1,700 companies. Applied R&D, more than 200 projects, technological services, highly specialized training, 88 patents, 7 spin-offs, technology consulting and professional events are some of the services that Eurecat offers for both small and medium-sized companies of all sectors. The added value provided by Eurecat accelerates innovation, decreases spending on scientific and technological infrastructures, reduces risks and provides specialized knowledge to each company.
Position : Researcher in Computational Social Science
Functions and responsibilities
Conducting innovative research in the field of computational social science and complex systems in areas like information dynamics, urban sciences (e.g., mobility), trustworthy AI, digital democracy, digital humanities, etc.
Designing and implementing technological solutions. Developing tools for collecting, analysing and modelling social data, such as models that characterise social phenomena and their cascade effects.
Investigating and implementing new algorithms and approaches to solving AI problems (e.g., Natural Language Processing, Graph Neural Networks, Knowledge Graph, etc.)
Seeking funding opportunities and participating in drafting proposals, particularly EU-funded projects (e.g., Horizon Europe).
Leading consortium projects or representing your area of expertise in work package(s) within a bigger project and coordinating with other stakeholders, particularly EU-funded projects (e.g., Horizon Europe).
Leading scientific papers, publishing the research results and presenting them at academic and industrial conferences.
Reporting and disseminating project results to various audiences (teammates, project stakeholders, the scientific community, etc.).
Collaborating with researchers from various disciplines such as cognitive and behavioural science, computer vision, journalism, citizen science, etc.
Requirements
Studies and Knowledge
Holding a PhD in computer science, physics, mathematics, engineering or related disciplines.
Having proven knowledge of artificial intelligence and complex systems, particularly in computational social science methods (e.g., graph neural networks, transformers, network analysis, agent-based modelling, etc.)
Having previous experience using libraries for data science, machine learning, artificial intelligence and deep learning (e.g., Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras…)
Having previous experience with cloud-based services such as AWS infrastructure or any other cloud vendors and containerization ecosystems such as Docker and Kubernetes.
Having excellent programming skills in Python following good practices on reusable code, software documentation and version control (i.e. git)
Having previous experience in preparing proposals and participating (managing and delivering technical solutions) in R&D consortium projects, particularly EU-funded projects (e.g., Horizon Europe).
Soft Skills
The person who will join the team should have time management skills.
They should be an organized person.
They should be able to work in a multidisciplinary team.
They should also be able to work in an autonomous way and communicate/document the results in a comprehensible and professional way.
They should be self-motivated and passionate about the projects and they should have a strong sense of curiosity and experimentation.
Languages
Excellent written and oral communication skills in English.
Job: Investigador/a
Department: Big Data Analytics
Location: Barcelona (Spain)
Contract: Permanent
Working day: Full time
Sector: Internet and technology
Vacancies: 1
Discipline: R&D
Work modality: Hybrid
#J-18808-Ljbffr
