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.

1 PhD Project at the National Research Council - Pisa

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.

CNR is seeking 1 position for ESR to be enrolled in a PhD program.

Application for ESR 6

host by National Research Council – Pisa – Italy

Deadline: September 15th, 2021

JOB DESCRIPTION:

We are looking for 1 Early Stage Researcher (ESR)/PhD Researcher. ESR will be working under the framework of LeADS project by collaborating to the Research and Training program of the project and to eventually prepare their doctoral thesis in the same framework. The PhD thesis work will be undertaken at ISTI-CNR Institute of Science and Technologies of Information (Pisa, Italy) in the national PhD program on Artificial Intelligence administered by the University of Pisa. The ESR will actively participate in the training program offered by LeADS.
As doctoral students, the ESR will be jointly-supervised under the direction of the LeADS consortium and will spend also secondment(s) at Consortium members according to the individual career development plan.

The position is offered full-time for three years (36 months).

POSITION:

ESR 6: Personal information as currency for the supply of digital content

Objectives: The aim of this research will be to understand the legal implications of the “provision of personal data” in the exchange of digital content and how the existing European legal framework of contract for the supply of digital content (considering the new proposed EU directive in this field) can coexist with the principles of personal data protection (data minimisation, purpose limitation, etc). The researcher will first identify general contractual issues arising in relation to contracts for the supply of digital content, and then consider the actual gap and how the new proposed directive will shape the law in this field, as well as examining its impact on existing contractual notions and consumer protection.

RESPONSIBILITIES:

The ESR recruited will be expected to carry out the following roles:

• To manage and carry out their research project within 36 months
• To write a PhD dissertation within the theme and objectives proposed above
• To participate in research and training activities within the LeADS network
• To participate in meetings of the LeADS projects
• To disseminate their research to the non-scientific community, by outreach and public engagement
• To liaise with the other research staff and students working in broad areas of relevance to the research project and partner institutions
• To write progress reports and prepare results and articles for publication and dissemination via journals, presentations, videos and the web
• To attend progress and management meetings as required and network with the other research groups

ELIGIBILITY CRITERIA:

• Master of Science (MSc) degree or equivalent
• Fluent written and spoken English
• Excellent communication and writing skills
• In order to fulfill the eligibility criteria of the Marie Curie ITN at the date of recruitment, applicants must not have resided or carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately prior to their recruitment. Compulsory national service and/or short stays such as holidays are not considered. Italian candidates can apply if they have resided in another country for more than 2 years of the last 3 years.
• At the time of recruitment, the candidate cannot have already obtained a doctoral degree and must be in the first 4 years (full-time equivalent) of his research career

OFFER:

• Fixed Term Contract 36 Month
• Work Hours: Full Time
• Location: Pisa
• Employee and Phd student status
• Travel opportunities for training and learning
• yearly gross salary: Living allowance of € 40.966,56, Mobility allowance up to € 7.200, Family allowance € 3.000

APPLICATION PROCEDURE - Please apply ONLINE and include:

Application procedure closed on September 15th

• A detailed Curriculum Vitae et studiorum (in English)
• a motivation letter (Max 1,000 words in English)
• a copy of your official academic degree(s)
• proof of English proficiency (self-assessment)
• the names and contacts of two referees
• scan of a valid identification document (e.g., passport)
• a non-binding research plan of a maximum of 3500 words which must include (in English): 1. the title of the research; 2. the scientific premises and relevant bibliography; 3. the aim and expected results of the research project; The non-binding research plan need to be aligned to one of the research descriptions for the LEADS project.