A. Criteria for evaluation of Curricular and Scientific Performance (DCC)
30%
A1. Proven experience in the field of Health Economics
30%
A2. Proven experience and knowledge in the use of preference elicitation methods
20%
A3. Proven experience and knowledge with data analytics programs, including R, STATA, and Python
20%
A4. Proven knowledge in microeconometrics and its application in research and data analysis
10%
B. Criteria for evaluation of Knowledge Transfer, Management and Communication of Science and Technology (TC)
100%
B1. Experience in writing scientific articles in Health Economics
Interview
90%
A. Curricular and scientific performance
10%
B. Knowledge Transfer, Management and Communication of Science and Technology
Jury
JS
João Vasco Nunes dos Santos
Professor Associado Convidado
/
Faculty of Medicine of the University of Porto
JF
José Alberto da Silva Freitas
Associate Professor
/
Faculty of Medicine of the University of Porto
CS
Cristina Maria Nogueira da Costa Santos
Full Professor
/
Faculty of Medicine of the University of Porto
AT
Andreia Sofia Costa Teixeira
Substitute
Assistant Researcher
/
Faculty of Medicine of the University of Porto
MP
Manuel António Gonçalves de Pinho
Substitute
Professor Auxiliar Convidado
/
Faculty of Medicine of the University of Porto
Publications
Notice
By order of May 12, 2026, of the Deputy Director of FMUP, Professor Guilhermina Maria da Silva Rego, it is hereby made public that this international selection competition procedure is open for a period of 10 (ten) working days from the working day immediately following the publication of this announcement in the Official Gazette. with a view to hiring a Research Assistant, under an individual employment contract with an uncertain term, under the Regulation of Research, Science and Technology Personnel of the University of Porto (RPIUP), Regulation no. 487/2020, published in the Diário da República, 2nd series, no. 100, of 22 May, as amended, and by other applicable legislation and regulations, namely the Labour Code, approved by Law No. 7/2009, of 12 February, in its current wording, for the performance of research activities within the scope of the project "BEST-COST - Burden of disease based methods for estimating the socio-economic cost of environmental stressors" (Ref. HORIZON-HLTH-2022-ENVHLTH-04), funded by the European Commission, through the Horizon Europe programme.