Research Grant - Edital Bi-Isise-Uminho-Digimas-15734-B1 - €1.309,6 A Month
Indexed description
Position: Civil Engineering Researcher – First Stage Researcher (R1) – Master Level
Application Deadline: 20 Feb ****, 23:00 (Europe/Lisbon)
Offer Start: 5 Feb **** (date of award)
Offer DescriptionA research grant will be awarded within the R&D Project "DigiMas – Digital Platform for integration Seismic Assessment and Strengthening of Traditional masonry Buildings" (Project No. *****, OP ********).
The grant will support the following work plan, with a provisional start in April **** and a maximum duration of 12 months (renewable if needed).
Candidate Profile / Admissibility RequirementsResearch Field
Civil Engineering or related fields.
Must hold a Master's degree in Civil Engineering or related discipline.
Must comply with Article 9 of the Research Grant Regulations (FCT I.P., No. ********).
At the time of hiring, must provide proof of enrollment in either:
PhD in Civil Engineering or related discipline.
Or a non‐degree course related to the tender's subject.
Preferential Factors
Prior experience in masonry and old masonry construction.
Application and SubmissionThe call is open from 05/02/2026 to 20/02/2026 (23:00 – Europe/Lisbon).
Applications must be sent exclusively by e‐mail to
with subject "Edital BI-ISISE-UMINHO-DIGIMAS-*****-B1".
Identification document (National Identity Card, Citizen Card, Passport, Visa or Title of Residence).
Curriculum Vitae (Portuguese or English).
Certificates of the required academic degree(s) with final grading;
an academic declarationmay be used if the certificate is not yet available.
Certificate of recognition of foreign academic degree and conversion to the Portuguese grading scale, if applicable.
Statement confirming compliance with the grant typology requirements.
Responsibilities / Work Plan
Compare different modelling approaches for traditional masonry buildings, considering geometric and structural complexity.
Assess seismic behaviour of masonry buildings with varying degrees of irregularity using performance‐based assessment methods.
Systematise and categorise structural strengthening techniques for traditional masonry buildings (global and local solutions).
Develop advanced numerical models of strengthening techniques and evaluate their impact on seismic performance;
apply optimisation and AI/ML for automatic identification of effective combinations.
Define recommendations for numerical analysis and rehabilitation/strengthening of irregular masonry buildings to improve seismic performance.
Host Institution and Scientific SupervisionThe work will be carried out at ISISE – Institute for Sustainability and Innovation in Structural Engineering, Civil Engineering Department, University of Minho (Azurém, Guimarães).
Scientific supervision will be provided by Doctor Graça Fátima Moreira Vasconcelos, with coordination by Doctor José Manuel Sena Cruz.
Evaluation CriteriaChoice of candidate will be based on Merit (100 %) and Interview (20 %).
Candidate Merit (CM)
Criterion A
– Motivation letter (10 %).
Criterion B
– Academic path (Final classification in Master/Integrated Master) (50 %).
Criterion C
– Personal curriculum (professional and scientific background) (40 %)
Sub‐criterion C1
– Relevant professional experience (50 %).
Sub‐criterion C2
– Publications (50 %).
CM Is Calculated As
CM = (A×0.10) + (B×0.50) + (0.40×[(C1×0.50)+(C2×0.50)]).
Candidates with CM
Interview (INT)
– conducted for the best four candidates with highest CM.
Criterion E1
– Motivation (30 %).
Criterion E2
– Technical knowledge required for the work plan (30 %).
Criterion E3
– Overall assessment (40 %).
INT Is Calculated As
INT = (E1×0.30) + (E2×0.30) + (E3×0.40).
Final Classification (FC) Is
FC = (CM×0.80) + (INT×0.20) .
Other BenefitsMonthly Maintenance Allowance
- ,64 € per month, paid on the 23rd of each month via bank transfer to the fellow's account.
Non‐Discrimination and Equal Access PolicyUniversidade do Minho promotes a policy of non‐discrimination and equal access, ensuring no candidate is privileged or disadvantaged based on ancestry, age, sex, sexual orientation, marital status, family status, economic situation, education, social origin, disability, nationality, ethnicity, language, religion, political convictions or trade union membership.
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