The Opportunity
You will join the Trustworthy AI team, a tight group of researchers and developers working on cutting-edge projects in the fields of explainable AI, AI compliance, data quality and data value for data markets and data spaces. We'd love for a smart, curious person, who can dive into a diversity of topics and efficiently translate research outputs into AI and data prototypes or products.
Who we are?
We're a technology centre based in Catalonia and one of the biggest tech centres in Southern Europe and the Mediterranean region. The Big Data & Data Science Unit takes part in R&D projects covering a diversity of domains for stakeholders in Europe, Spain and Catalunya. We believe that the benefits of AI and data should be fairly distributed among contributing individuals and believe in the social impact of what we do. We develop domain-agnostic technology, meaning that we're a curious bunch, we value a research mindset and have to be able to quickly, but reliably prototype our ideas. Cooperation is chief amongst us and the expertise of one member quickly diffuses through the team, such that the others can benefit from it as well.
What You'll Do
* Analyse project requirements and identify research directions.
* Research the state of the art, synthesise findings, identify research and technology gaps.
* Conceptualise, design and implement AI and data solutions.
* Communicate your results with the team and project stakeholders. If interested, join us in writing papers and presenting them in relevant venues.
* Participate in writing project proposals - this is an opportunity to target projects and areas that we're passionate about and seek funding.
Details
This is a full-time position, in our Barcelona offices or any of our other local offices (Corporate offices of Eurecat in the territory).
The team works partly remote (2 days/week at the office).
To apply
Be sure to include links to your portfolio of projects (your Git page, links to projects you've developed and deployed, …) or scientific papers.
Requirements:
Must-haves in a candidate
* Passion for data and AI, with the added motivation for fair and trustworthy technology.
* Experience in at least one of: explainable/interpretable AI, bias assessment, privacy enhancing technologies, AI/Data compliance.
* You tick at least one of the following boxes:
* Strong background in data science, Machine/Deep Learning, software development
OR
* MSc in Computer Science, Physics, Mathematics, Bioinformatics, or similar field
OR
* Convincing portfolio of data science projects sharable on Git
* You code: Python, R, Java, whatever you feel comfortable with. We appreciate clean and readable code, following coding standards.
* You can manage and query both SQL and NoSQL databases.
* Write grant proposals to fund the work that matters to us. From smaller, local project, to top-grade, multi-national European consortia.
Nice to Have
* Prior experience with any of the following: data governance, data value, data markets, ontologies, knowledge management.
* Experience with any of: Generative AI, Neurosymbolic AI, Federated Learning
* MLOps - You know how to develop and test AI pipelines, from data ingestion, processing, to model development and evaluation.
* Extra points if you have already been exposed to Data Spaces.