*Two Research positions in the field of Natural Language Processing and Information Extraction in the Clinical Domain*

*Application deadline: 27 October, 2022*

Within the context of the eCREAM and of the IDEA4RC projects, funded by the European Union, we are inviting applications for two research positions on the subject of information extraction in the clinical domain in a multilingual perspective.

*Job Description*

FBK is looking for candidates to cover 2 positions with dynamic, highly motivated, researchers in the field of “Natural Language Processing” for the NLP Unit of the Digital Health and Wellbeing (dHWB) Center.

The candidates will be asked to advance state-of-the-art research in the field of NLP, with particular emphasis on the development of techniques for information extraction in the clinical domain. On the topics above, the candidates will have the possibility to supervise PhD students and develop their own specific research directions in accordance with the strategies of the Research Unit and the dHWB Center.

The candidates will work in collaboration with other researchers of the NLP Unit and of the dHWB Center, as well as with the partners involved in EU projects. The candidate is also expected to contribute to proposals for funded activities, including reporting and dissemination of results (in both academic and popular venues). Furthermore, we expect the successful candidates to contribute to maintain a strong role of FBK in the Italian and international NLP community.

The purpose of the current call is an opportunity of working into an internationally renewed NLP group and develop their own research path in accordance with the long term strategy of the NLP Unit and the dHWB Center.

*Job requirements*

*The ideal candidates should have:*

· PhD Degree in areas related to Computer Science or Computational Linguistics;

· Research Expertise in Information Extraction;

· Publication track record in the field of NLP;

· Good Knowledge in application of deep learning techniques in NLP;

· Strong programming skills;

· Good knowledge and proficiency of the English language;

· Team working attitude;

· Good communication and relational skills;

· Autonomy in developing research and organising work activities;

*Additional requirements:*

· Experience in supervision of internship and thesis of bachelor and master level on topics related to NLP;

· Experience in working for international research projects;

*FBK actively seeks diversity and inclusion in the workplace and is also committed in promoting gender equality.*

*Employment*

*Type of contract*: fixed term contract – full time

*Start date*: preferably from November 2022

*End date*: 31 August, 2027 (eCREAM) / 31 August, 2026 (IDEA4RC)

*Gross annual salary*: about € 39.500

*Workplace*: Povo - Trento (Italy)

*Application*

Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format):

· Detailed CV including list of scientific publications

· Motivation letter

· Email address contact for two referees

*Application deadline: 27 October, 2022*

*About FBK*

FBK is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research center, of which there are eleven totals. Information regarding the research centers, their activities and production is available at http://www.fbk.eu/research-centers.

The Digital Health and Wellbeing (dHWB) Center https://www.fbk.eu/it/digital-healthwellbeing/ focuses on supporting an equitable and sustainable public healthcare system based on the pervasive use of digital technologies and AI by both empowered citizens and healthcare professionals, in the context of the 4P medicine. The activities of the dHWB Center focus on promoting and supporting a value-chain that combines high-quality scientific research (open and targeted) and innovation (social and technological) to have a significant impact on society (citizens and healthcare system) and market.

The Natural Language Processing (NLP) research unit https://ict.fbk.eu/units/nlp/ develops computational models of human languages, focusing on written texts. We are active in the following areas: *text mining (*document classification, information extraction and ontology population from text, semantic inferences, analysis of the sentiment and of the emotional content of texts); *conversational agents (*task oriented dialogue systems, collaborative human-machine dialogues, generation of explanations); and development of *linguistic resources*, particularly for the Italian language. In all the above areas, deep learning techniques are exploited. A common issue concerns the “explainability” of the choices carried out by the systems. We are fond of contributing to the Italian NLP community.