[Corpora-List] PhD position at FBK: NLP Technologies for Clinical Cases

Alberto Lavelli lavelli at fbk.eu
Fri Jul 16 11:39:02 CEST 2021


The Doctorate Program in Industrial Innovation (https://iid.unitn.it) of Fondazione Bruno Kessler (FBK) and the University of Trento is an interdisciplinary doctoral program that offers a wide range of courses by FBK and the Departments of Information Engineering and Computer Science (DISI), Industrial Engineering (DII), Economics and Management (DEM) of the University of Trento. Each PhD position is proposed in collaboration with an industrial company that proposes the research theme to be investigated by the doctoral student. The ultimate goal of the Program is to train highly qualified professionals with diverse scientific, technical and soft skills, who will contribute to the solution of the challenges posed by the industry.

The Natural Language Processing group (https://ict.fbk.eu/units/nlp/) at FBK, in collaboration with Roche S.p.a., the well known Swiss multinational healthcare company, offers a scholarship for a three year PhD position at the Doctorate Program in Industrial Innovation (https://iid.unitn.it), on the following topic:

Application of natural language processing technologies to clinical cases*Deadline for application: August 25th 2021, 16:00 (Italian time, GMT+2)*

A clinical case is a statement of a clinical practice, presenting the reason for a clinical visit, the description of physical exams, and the assessment of the patient’s situation. Clinical cases (e.g. discharge summaries, clinical cases published in journals, and clinical cases from medical training resources) provide a very valuable source of information for data-driven technologies aiming at predicting clinical outcomes and patient behaviors.

This three-year PhD offers a unique context of a collaboration between FBK, specifically the NLP group, and the Swiss multinational healthcare company, worldwide leader in biomedical research. The research will focus on a number of application oriented tasks, including automatic recognition of clinical entities (e.g. pathologies, symptoms, procedures, and body parts, according to standard clinical taxonomies such as ICD-9, ICD-10 and SNOMED-CT); detection of temporal information (i.e. events, time expressions and temporal relations, according to the THYME TimeML standard), and factuality information (e.g. event factuality values, assessment of the effect of negation, uncertainty and hedge expressions). Italian will be the major language of clinical cases, although technologies will be experimented on other languages.

The goal of the PhD is both to advance the state of the art for clinical case analysis for the Italian language, and to deliver prototype applications, which can be further made operative in real settings (e.g. hospitals).

The candidate will have the unique opportunity to explore different domains (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment, collaborating with a healthcare company with worldwide presence. The candidate will work both at FBK (Trento) and at the healthcare company’s premises (both in Italy and abroad).

***Required/Preferred Candidate Skills and Competencies***

The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures). Experience on biomedical data will be a plus. Basic programming skills (e.g. Python) would complete the profile.

Proficiency in English is required, basic knowledge of Italian preferable.

***Instructions for applicants***

Interested applicants are invited to apply following the instructions given in

https://iid.unitn.it/education/admission/call-for-application

by August 25th 2021, 16:00 (Italian time, GMT+2).

For further information, please contact: Bernardo Magnini (magnini at fbk.eu)

Contacts: Bernardo Magnini <magnini at fbk.eu> (FBK), Alessandro La Torraca <alessandro.la_torraca at roche.com> (Roche S.p.A.)

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