The emergence of data science has raised a wide range of concerns regarding its compatibility with the law, creating the need for experts who combine a deep knowledge of both data science and legal matters. The EU-funded LeADS project will train early-stage researchers to become legality attentive data scientists (LeADS), the new interdisciplinary profession aiming to address the aforementioned need.
These scientists will be experts in both data science and law, able to maintain innovative solutions within the realm of law and help expand the legal frontiers according to innovation needs. The project will create the theoretical framework and the practical implementation template of a common language for co-processing and joint-controlling basic notions for both data scientists and jurists. LeADS will also produce a comparative and interdisciplinary lexicon.
LeADS will recruit prospective talented researchers of any nationality, gender, culture, religion, sexual orientation or age. To be eligible for an LeADS fellowship, applicants must:
- Comply with the mobility rule, meaning that they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date.
- Comply with the early-stage researcher definition: at the time of recruitment by the hosting institution, candidates must be in the first four years (full‐time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
- Fullfil the requirements to be able to enrol in a doctoral programme at the hosting institution/country, and, if applicable, the specific eligibility requirements at the hosting institutions.
- Proficiency in English is required, as well as good communication skills, both oral and written.
Overall LEADs envisage to open 15 position for ESRs and hopes to enable all ESR to enrol in a PhD program.
- ESR1 Reciprocal interplay between competition law and privacy in the digital revolution. Host: Sant'Anna School of Advanced Studies, Pisa, Italy
- ESR2 Distributed reliability and blockchain-like technologies. Host: Université Toulouse III - Paul Sabatier, Toulouse, France
- ESR3 Unchaining data portability potentials in a lawful digital economy. Host: Sant'Anna School of Advanced Studies, Pisa, Italy
- ESR4 Big data, small data, and business practices. Host: Université Toulouse III - Paul Sabatier, Toulouse, France
- ESR5 Differential privacy and differential explainability in the data sphere: the use case of predictive jurisprudence. Host: Sant'Anna School of Advanced Studies, Pisa, Italy
- ESR6 Personal information as currency for the Supply of Digital Content. Host: CNR, Pisa Italy
- ESR7 Public-private data sharing from “dataveillance” to “data relevance”. Host: Vrije Universiteit Brussel – VUB, Brussel, Belgium
- ESR8 Technical and legal aspects of privacy-preserving services: the case of Health Data. Host: Jagiellonian University, Kraków, Poland
- ESR9 Processing of biometric data to support the use of e-identities in key activities of the EU digital society. Host: SnT, Université du Luxembourg, Luxembourg
- ESR10 From Privacy by design to Privacy by Using. Host: University of Piraeus, Piraeus, Greece
- ESR11 Empowering data owners by promoting PIMS. Host: University of Piraeus, Piraeus, Greece
- ESR 12 The boundaries of information property: from concept to practice. Host: Jagiellonian University, Kraków, Poland
- ESR 13 Solving the conflicts between data owners and data exploiters through a spectrum of quasi-property model. Host: Vrije Universiteit Brussel – VUB, Brussel, Belgium
- ESR 14 Neuromarketing and mental integrity between market and human rights. Host: Sant'Anna School of Advanced Studies, Pisa, Italy
- ESR 15 Technologies for algorithms and algorithmic transperency and fairness. Host: SnT, Université du Luxembourg, Luxembourg
Deadline: 30 June 2021.