Applied Artificial Intelligence Researcher – Postdoctoral Fellowship

Job title:

Applied Artificial Intelligence Researcher – Postdoctoral Fellowship

Company:

Eurecat

Job description

EURECATEurecat 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 descriptionThe Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors.Eurecat Applied Artificial Intelligence Unit is searching a PhD researcher to create a groundbreaking methodology for rapid material development using artificial intelligence, aiming to enhance the efficiency of sustainable advanced materials while considering the product’s final application and transformation process.Functions and Responsibilities:

• Research innovative techniques and methods in the field of artificial intelligence to stay up-to-date with the new trends in materials science.
• Design and implement solutions based on mathematical algorithms and classical ML: supervised and unsupervised models, regression models, classification, clustering, dimensionality reduction, optimization, recommendation systems, time series, semi-supervised learning, etc.
• Design and implement solutions based on Deep Learning techniques like Recurrent Neural Networks and Autoencoders.
• Practical application and experimentation of state-of-the-art techniques.
• Write high impact articles and bring research results to international conferences.
• Write proposals for new projects in the field of materials science.

RequirementsEligibility criteria:Studies:

• Nanoscience and Nanotechnology, Materials Science or related studies, PhD degree.

Knowledge and Experience:

• Good skills in Python and knowledge of basic libraries like Numpy, Pandas, Matplotlib, Scikit-Learn, SciPy.
• Knowledge of simulation techniques for materials science: lammps, VAPS or similar
• Hands-on experience with Machine Learning
• Knowledge in some deep learning libraries like Keras, PyTorch and Tensorflow will be valued.

Languages:

• High level of English (written and spoken)
• A good level of Spanish or Catalan is an asset.

Readiness to travel when needed, embracing opportunities to connect with clients, partners, and collaborators worldwide.

Expected salary

Location

Cerdanyola del Vallès, Barcelona

Job date

Tue, 04 Feb 2025 23:12:31 GMT

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