Logic List Mailing Archive

One year scholarship in "Predictive Jurisprudence", Pisa (Italy)

Dear all,

a colleague from the Institute of Management at Sant'Anna School of
Advanced Studies Pisa, Italy, opened a 1-year position in an interesting
project on 'Predictive Jurisprudence'.

The candidate: "will contribute to the invention, development and
benchmarking of natural language processing techniques for modeling text,
information extraction, opinion mining, embedding methods, text mining, and
deep learning or related fields."

You find a detailed description below. Interested candidates should
contact Professor Giovanni Comande? (g.comande@santannapisa.it)

Regards,
Andrea Vandin

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EXPRESSION OF INTEREST FOR 1 Year scholarship (postgraduate/PhD)

LIDER-Lab of the Scuola Superiore Sant?Anna (www.lider-lab.eu) opens 1
position for a scholarship in the framework of its research project Predictive
Jurisprudence (see below short description). We are looking for candidates
interested in working with Natural Language Processing (NLP) techniques and
predictive analytics algorithms (so-called Artificial Intelligence) in
order to perform tasks such as automatic summarization, text
classification, named entity recognition, relationship extraction, and
topic segmentation. The candidate will contribute to the invention,
development and benchmarking of natural language processing techniques for
modeling text, information extraction, opinion mining, embedding methods,
text mining, and deep learning or related fields.

CONTEXT: RESEARCH Description

Predictive Jurisprudence is a piloting project developed at LIDER Lab
Scuola Superiore Sant?Anna (www.lider-lab.sssup.it) in collaboration with
EMbeDS (https://www.embeds.santannapisa.it), KDD Lab (
https://kdd.isti.cnr.it), and several trial courts. Our research is focused
on the development of AI techniques applied to the Italian case-law
jurisprudence. The aim is to firstly develop a fair, robust, and lawful
infrastructure where to collect and store case-law decisions and correlated
materials in terms of big data. It develops both tools for annotation and
automatic extraction of information from legal texts and algorithms for
analysis and prediction. The algorithm aims to recreate and mimic the legal
reasoning behind the solution(s) adopted in the judgements by making
predictable subsequent decisions on the same subject. These tools should
also help to explain the reasoning underlying each decision, while the
development of suitable tools to explain the criteria defined by the
developed AI will be tested. In this context, one of the main technical
objectives of the project is to deliver a new and genuinely integrated
National dataset (NPJ DB), rather than simply a collection of regional data
sets.

SKILLS (one or more of the following skills are requested):

-Strong statistics, data mining and machine learning method

-Strong experience in data mining, data analysis, and Machine Learning,
working on large-scale projects and heterogeneous data sets

-Strong programming skills within the Python ecosystem and C++

-Considerable experience with major Machine Learning and Deep Learning
frameworks, such as scikit-learn, nltk, Torch, Keras, Tensorflow, Pytorch,
Jupyter Lab

-Strong experience with regular expression and text processing techniques.

-Experience with visualization framework, such as Matplotlib, Tensorboard,
Tableau

-Experience with RDMS and noSQL databases-Fluency in Bash scripting-Strong
teamwork attitude

-Fluency in English-Master degree in Computer Science, Math, Statistics or
similar. PhD a plus.

Bust your candidacy if you also have:

-Knowledge of relevant frameworks and libraries such as Flair, Kaldi,
SpaCy, CoreNLP

-Knowledge of service-oriented computing, specifically the REST paradigm

-Micro-services (Docker)

-GIT versioning tool and CI/CD pipelines

-Experience with Big Data frameworks

-Experience with R&D projects

-General interest in linguistics and natural languages


*CONTACTS:*

For further information and EoI please contact Professor Giovanni Comande?(
g.comande@santannapisa.it)

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