FMUP | 1 (ONE) RESEARCH STUDENTSHIP | PROJECT \"MEDISPEECH\" (Ref. COMPETE2030-FEDER-02491800) | Ref. BOLS-FMUP-26-16

Faculdade de Medicina da Universidade do Porto; Portugal; Sur place; EUR 13 000 - 16 000; Plein temps

Résumé du poste

A Faculdade de Medicina da Universidade do Porto abriu uma bolsa de investigação (BI) para a equipa do projecto MediSpeech, enquadrada no programa ERDF/ COMPETE 2030. A posição enquadra-se na área de saúde digital, com foco em processamento de linguagem natural, dados clínicos e IA aplicada à saúde.

A candidatura está aberta a estudantes de mestrado em áreas afins, com experiência em programação, NLP e inglês.

Qualifications

• Experiência em programação e análise de dados (preferencialmente Python, R)
• Conhecimentos em processamento de linguagem natural, modelos de linguagem e NLP clínico
• Competência em inglês (falado/escrito)
• Conhecimento de dados de saúde, registos clínicos e terminologias médicas
• Experiência na recolha, curadoria e anotação de dados clínicos/textuais/sonoros

Responsabilités

• Suporte na revisão do estado da arte, definição de requisitos e casos de uso do projecto MediSpeech
• Suporte à recolha, organização, anotação, pré-processamento e validação de dados clínicos/textuais/sonoros
• Suporte à avaliação de métodos/ ferramentas de reconhecimento automático de fala, NLP e extração de informação clínica
• Mapeamento de informações clínicas para terminologias e formatos relevantes no âmbito do projecto
• Estruturação de resultados, preparação de documentação técnica e relatórios de entrega

Connaissances

Programação Python/R

Inglês (competência escrita e oral)

Saúde digital / Data science

Processamento de dados

Formation

Mestrado em Engenharia Computacional, Data Science, Engenharia Biomédica, Informatics Médica ou áreas afins

Conclusão do 1º ano curricular de mestrado

Outils

Python

R

Description du poste

Organisation/Company Faculdade de Medicina da Universidade do Porto Department HR - Human Resources Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 27 Nov 2027 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Permanent Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Call for the award of 1 (one) Research Fellowship (BI), within the scope of the project "MediSpeech" (ref.COMPETE2030-FEDER-02491800),ONGOING AT THE FACULTY OF MEDICINE OF THE UNIVERSITY OF PORTO – BOLS-FMUP-26-16

A call is open for the award of 1 (one) research fellowship (BI) for a student enrolled in a master's study cycle, to carry out R&D activities within the scope of the "MediSpeech" project (ref. COMPETE2030-FEDER-02491800), co-financed by the European Regional Development Fund (ERDF), through the Innovation and Digital Transition Program (COMPETE 2030), ongoing at the Department of Community Medicine, Health Information and Decision (MEDCIDS) of the Faculty of Medicine of the University of Porto, under the following conditions:

1. Scientific Area(s): Digital Health at FMUP.

2. Admission requirements:

All adults who meet the following requirements, proven by documents, can apply for this research fellowship:

• To be, or to be until the act of hiring, enrolled in a master's study cycle in Computer Engineering, Data Science, Bioengineering, Biomedical Engineering, Medical Informatics, Bioinformatics, Applied Mathematics, Statistics, Digital Health, Health Sciences, or related areas, under the terms of paragraph d) of paragraph 1 of article 16 of the Regulation, and the respective proof must be presented at that time, under the terms of paragraph e) of paragraph 2 of article 22 of the Regulation.

3. Conditions of preference, proven by documents:

• Academic and/or professional training in digital health, data science, medical informatics, artificial intelligence applied to health, natural language processing or related areas;
• Experience in programming, data processing and analysis, preferably in Python, R or equivalent tools;
• Knowledge in natural language processing, language models, clinical text analysis, automatic speech recognition, transcription or audio processing;
• Knowledge of health data, electronic medical records, interoperability, terminologies or clinical classifications;
• Experience in collecting, curating, annotating, validating or documenting clinical, textual or speech data;
• Completion of the 1st curricular year of the master's degree, or equivalent academic path, in an area relevant to the work plan;
• Spoken and written English language competence.

4. Work plan:

4.1. The main tasks to be performed within the scope of the research fellowship will be:

• Support for the review of the state of the art, definition of requirements and specification of use cases within the scope of the MediSpeech project;
• Support for the collection, organization, curation, annotation, pre-processing and validation of clinical, textual or vocal data;
• Support for the testing and evaluation of methods and tools for automatic speech recognition, natural language processing and clinical information extraction;
• Support for the organization and mapping of clinical information to terminologies, classifications or formats relevant within the scope of the project, including support for the verification of consistency of the data and outputs generated;
• Support for the structuring of results, preparation of technical documentation, reports, deliverables and dissemination materials.

4.2. Should the master's degree be awarded during the term of the grant contract, the grant may continue provided that the activities set out in the work plan have not been completed, without prejudice to the duration limits set in point 7; this possibility shall also be expressly provided for in the grant contract, under Article 10(6) of the Regulation.

5. Applicable legislation and regulations:

The competition and the respective award of the research fellowship are governed by the provisions contained in:

• Research Grant Holder Statute (EBI), approved by Law No. 40/2004, of 18 August, as amended by Decree-Law No. 65/2024, of 1 October;
• Regulation of Research Grants of the University of Porto, as amended by Regulation No. 582/2026, published in the Official Gazette , 2nd series, No. 96, of 19 May 2026 (hereinafter "Regulation");
• Legal regime for the recognition of academic degrees and higher education diplomas awarded by foreign higher education institutions, approved by Decree-Law No. 66/2018, of 16 August;
• Code of Administrative Procedure (CPA), approved by Decree-Law No. 4/2015, of 7 January, as amended;
• Code of Ethics of the University of Porto, approved by Order No. GR.03/10/2025;
• Code of Conduct and Good Practices of the University of Porto, approved by Order No. GR.05/12/2025; and other applicable rules.

6. Workplace:

The work plan will be developed at the Department of Community Medicine, Health Information and Decision of the Faculty of Medicine of the University of Porto and/or in other places necessary for implementation, under the scientific guidance of Professor José Alberto da Silva Freitas, Associate Professor at FMUP.

7. Duration of the scholarship:

The BI will have a duration of 12 months, on an exclusive dedication basis, possibly renewable, for equal or different periods, and may not, under any circumstances, with its renewals, have a duration longer than that established in paragraph b) of paragraph 3 of article 10 of the Regulation, given that it is a scholarship awarded to a student enrolled in a master's degree, nor extend beyond the end date of the project, scheduled for 31 December 2027.

8. Amount of the monthly maintenance allowance