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Phd Scholarships in Explainable Ai

2 mesi fa

Roma, Italia FRONTIERE A tempo pieno

You will be working together with thw Frontiere Artificial Intelligence and Data Strategy Division (FAIDS). FAIDS is concerned with all aspects of Artificial Intelligence. In particular, the theoretical foundations and the algorithmic realization of data and information processing systems, Big Data Analytics, Machine Learning Applications, Human-Computer Interaction, Natural Language Processing, and Reasoning in complex and dynamic environments given limited resources and incomplete or uncertain information. FAIDS supports interdisciplinary working with innovative interdisciplinary start-ups and other faculties of the university and national and European institutions. Leading ML researchers will also supervise him at the University of Roma Tre.

Who are we looking for

We are looking for a PhD researcher that want to make a substantial scientific contribution to algorithmic fairness while embedded in the Artificial Intelligence team at Frontiere in Rome, Italy, and collaborate with us on high-impact, industry-relevant problems.

We're offering fully-funded PhD positions to advance the state of the art of Explainable Artificial Intelligence. Topics are Interpretable machine learning, Explainable deep learning and Human-AI interaction.

Responsibility

You will be integrated into a highly stimulating research environment, both multi-disciplinary and international, and are expected to:

- investigate empirical and theoretical properties of explainable and fair AI models;
- develop improved AI models for explainable and fair decision-making;
- interact with other academic and industrial partners in the FRONTIERE ecosystem ;
- present and publish results in scientific workshops, conferences, proceedings and journals;
- participate in and report progress at meetings with FRONTIERE stakeholders;
- complete and defend a PhD thesis.

Key Requirements
- A Master's degree in Artificial Intelligence, Logic, Operations Research, Mathematics, Computational Physics or a related discipline;
- Background in machine learning and data science or interest in the fields;
- Experience or ability to quickly gain knowledge in knowledge representation formalisms (discrete or probabilistic), including causality;
- Good programming skills (e.g., Python, Julia, R, C/C++, Mathematica);
- Good knowledge of statistics, basic probability theory and linear algebra;
- You are required to have citizenship or an existing study/work visa from an EEA country to be able to apply. You must have completed your Master's degree (laurea magistrale) by 30th June 2023.

Soft Skills
- Strong communication, presentation and writing skills and an excellent command of English;
- Socially engaged, highly motivated and curious to tackle new problems in the field.

Benefit
- gain your PhD with a dynamic industry team, with access to top supervision and academic opportunities
- impact: we'll show you the most pressing, real industry problems that need to be solved

**Contract Type**: Temporary Term Contract 12 Month

**Work Hours**: Full Time 40 Hours per Week

**Location**: Rome

**Internal Title**: Doctoral Researcher

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