Postdoctoral Research Fellow in Data Science and AI (EHR0140-0125)

You will work on a 3-year Horizon Europe project focusing on the assessment of learning technologies and frameworks for intelligent and ethical AI. The objective is to develop an interconnected data representation, e.g., a semantic Knowledge Graph, that will serve as a foundational framework for connecting AI ethics principles with automatically generated AI models. In addition, we aim to explore methods for detecting bias in data sources, including social methods. Your main duties and responsibilities will be to:
Engage positively in research activity in the broad area of Data Science and AI under the direction of the project lead/principal investigator.
Complete high-quality research in the area of Data Science and AI and associated subject areas, leading on knowledge graphs and data bias detection elements of the project and managing the work of others as required.
Publish research outputs in leading peer-reviewed journals with an international audience, as lead author where appropriate.
The post will also relate to other research areas, e.g., machine learning, artificial intelligence, and natural language processing. You will have an interest in doing research in one or more of these areas at post-doctoral level. You will have the opportunity to do research in the above areas and accordingly develop your research skills, capacity, and agenda. You will also be involved in the development of other project proposals, which may contribute to finding the next step after this role.
For informal enquiries about this vacancy, you may wish to contact: Yannis Korkontzelos, Professor in Computer Science (Data Analytics).
A PhD in the broad area of Computer Science with a focus on Data Science / Artificial Intelligence / Text Mining / Natural Language Processing.
Experience with machine learning and deep learning frameworks such as Keras, TensorFlow, and scikit-learn.
Proficiency in knowledge graph frameworks and tools, including Neo4j, GraphQL, RDFLib, or similar technologies, is essential.
Strong programming skills and experience in software development (Java/C++/Python or similar languages), a good knowledge of collaborative platforms for software development, e.g., GitHub and Bitbucket, and a strong publication record in relevant conferences/journals are highly desirable.
At Edge Hill University, we believe in the life-changing opportunities knowledge can create. Since 1885, we've been creating access to knowledge for those who may not have had the opportunity before. Today, the effect we have has a far-reaching impact, not just for those who come to study here but for those who work, invest in, and live in our local communities too. So, if you've ever wondered if one person can make a difference, simply speak to our alumni, students, and award-winning staff. Because for us, education isn't about how much you take in. It's about what you take out into the world. Inspiring minds and changing futures since 1885, Edge Hill University is 'A great success story… an institution that improves and impresses year after year' - Times Higher Education.

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