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Civil and Environmental Engineering● OpenResearch staff⏰ 14 days leftPreview

Research Grant in Artificial Intelligence and Drones for Buildings

Develop AI and drone-based systems for large-scale building characterisation and energy analysis.

Best for:Best for graduate students in civil engineering, computer science, or related fields with experience in data collection and image analysis.

University of Aveiro · Aveiro, Portugal · R1 · First-stage researcher
More professors at University of Aveiro
Artificial IntelligenceDrone TechnologyBuilding CharacterisationEnergy EfficiencyImage Processing
This is a research staff position — not a PhD studentship.
Deadline
Nov 5, 2026
14 days
Funding
Stipend
€1.1k/mo
Start date
December 2026
Temporary
Location
Aveiro
Portugal

Overview

The University of Aveiro invites applications for a research grant within the AID4Buildings project, focusing on artificial intelligence and drone technology for building stock characterisation. The selected researcher will contribute to developing prototype systems that leverage visible, ultraviolet, and infrared imagery to analyse structural attributes and thermal performance. Responsibilities include validating image databases, testing algorithms for automated feature extraction, and adapting open-source tools to the Portuguese context. The position offers an opportunity to work within the Civil Engineering Department alongside leading academic supervisors.

Civil EngineeringArtificial IntelligenceDronesBuilding StockThermal PerformanceImage AnalysisResearch Grant

What you'll do

  • Verify and correct the quality of the building image database
  • Test and evaluate algorithms for the automated identification of building attributes from imagery
  • Apply calibrated algorithms to case studies in Aveiro and Lisbon
  • Further develop and adapt the open-source tool RUBIC-AI for the Portuguese context
  • Support multi-hazard risk assessments and energy-retrofitting priority identifications

Requirements

Degree required: Bachelor Degree or equivalent

Language: Portuguese and/or English proficiency suitable for academic research

Instruction: Portuguese / English

Required skills
  • Background in Civil Engineering, Computer Science, Electrotechnical Engineering, or related areas
  • Experience in data collection and processing
  • Enrollment in a doctoral programme or relevant study track
Nice to have
Experience with drone imagery analysisFamiliarity with artificial intelligence or machine learning algorithmsKnowledge of building structural and thermal characteristics
Eligibility
  • Applicants must comply with the Research Fellow Statute and FCT Research Grant Regulations

Funding & terms

Type
Stipend
Amount
€1.1k/mo
Duration
6 months
Programme
AID4Buildings (2024.17943.PEX)
FCT - Foundation for Science and Technology

How to apply

Deadline: 2026-11-05 (Europe/Lisbon)

Interested candidates must submit an application by email containing a motivation letter, curriculum vitae, degree certificates, application form, and a statement of integrity. All documents must be sent directly to the designated contact email address within the stated deadline.

Documents required
  • CV
  • Motivation letter
  • Degree certificate(s)
  • Application form
  • Declaration of honor/statement of integrity
✉Apply by email

Contact

Vitor Silva· Associate Professor

vitor.s@ua.pt

https://www.ua.pt/pt/decivil

VS
Prof.
Vitor Silva
Civil Engineering Department
Lab
Civil Engineering Department
University of Aveiro
AID4Buildings (2024.17943.PEX)Portugal
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