Job Information
- Organisation/Company: FEUP
- Department: Human Resources Division
- Research Field: Engineering » Electrical engineering; Other
- Researcher Profile: First Stage Researcher (R1)
- Positions: Other Positions
- Application Deadline: 31 Aug 2026 - 23:59 (Europe/Lisbon)
- Country: Portugal
- Type of Contract: Temporary
- Job Status: Full-time
- Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Offer Description
1 Research Grant Announcement (M/F)
Call open for applications for a research grant within the framework of the activities “AI-driven prediction of therapy response in triple-negative breast cancer” financed by the Faculty of Engineering of the university of Porto, under the following conditions:
Scientific Area: Artificial Intelligence
Admission requirements: Candidates who cumulatively meet the following requirement:
- Be a student enrolled in a doctoral program in the area of Electrical and Computers Engineering, a requirement to be duly proven at the time of signing the contract.
Goals:
Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous disease lacking reliable biomarkers to guide treatment decisions.
The main goal of this project is to develop AI-based methods to quantify and interpret biomarkers in TNBC imaging data. Specifically, the goals include: Develop AI models to segment and quantify cellular from microscopy and histological images; Extract robust quantitative features associated with biomarker expression (e.g., FER levels); Integrate and correlate AI-derived features with clinical and pathological outcomes to assess their predictive value; Evaluate the reproducibility and generalisation of the proposed models across datasets.
Activity Outline:
- Develop advanced AI models for accurate and robust quantification of biomarker expression, potentially incorporating multi-scale and context-aware architectures.
- Integrate image-derived features with available clinical data to build predictive models of therapy response.
- Perform rigorous model validation using appropriate evaluation metrics and cross-validation strategies.
- Analyse model interpretability and biological relevance of learned features.
- Prepare a scientific publication.
Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow) and Regulation of Research Grants of University of Porto.
Work place: The work will be developed at the Department of Electrical and Computers Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Jaime S. Cardoso.
Grant duration: Initial duration of 3 months, with the predicted starting date in October of 2026, on an exclusive basis.
If the contracting procedures do not allow the scholarship to have a minimum duration of 3 consecutive months, in accordance with paragraph 2 of article 10 of the Research Regulation of Research Grants of University of Porto, the grant will not be awarded.
The eventual renewal of the scholarship will be carried out as determined in article 10 of the Regulation of Research Grants of University of Porto.
Stipend: The grant stipend amounts to 1.359,64€ according to the table of values of the Regulation of Research Grants of University of Porto. The payment will be made by bank transfer.
Selection procedure:
The curriculum of the candidates (60%) will be evaluated based on the merit of the candidate, and the following factors will be assessed:
- a) Knowledge in computer vision, machine learning, medical image analysis - 10 points; knowledge in engineering – 2 points)
- b) Publications in the area of machine learning - 5 points, Publications in other areas – 2 points
- c) Research Experience in the project area – 5 points; in related areas – 3 points; Other areas – 1 point.
The curriculum of each candidate will be evaluated in a 1-20 points scale. Candidates with less than 13 points in the curricular evaluation will not be invited for the interview.
In the interview (40%) topics related with the work plan, experience and the candidate’s CV will be discussed with the invited candidates.
If none of the candidates achieves a minimum final score of 15 points, the scholarship will not be awarded.
Selection Jury:
- President: Professor Jaime dos Santos Cardoso
- Effective member: Professor Luís Filipe Pinto de Almeida Teixeira
- Effective member: Professor Andry Maykol Gomes Pinto
- Supplementary member: Professor Ricardo Pereira de Magalhães Cruz
- Supplementary member: Professor Tânia Maria Pereira Lopes
Advertisement of final decision: The results of the evaluation will be released to the candidates by email to the email address indicated in the application process.
Deadline for applications and form of presentation of the applications:
The call is open from 13/08/2026 to 31/08/2026 (until 23h59m, GMT time).
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15) by 31/08/2026, accompanied by the following documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree), detailed Curriculum Vitae; and other documents considered relevant by the applicant.
In order to assure that all documents can be read, the preferred saving format is the Portable Document Format (.pdf).
Where to apply
Website: https://www.apply.up.pt
Requirements
Research Field: Engineering » Electrical engineering
Education Level: Master Degree or equivalent
Research Field: Other
Education Level: Master Degree or equivalent
Skills/Qualifications
Full announcement also available at FEUP - FEUP| 1 Bolsa de investigação |DEEC-TNBC1-BOLS-FEUP-26-15
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15)
Specific Requirements
Full announcement also available at FEUP - FEUP| 1 Bolsa de investigação |DEEC-TNBC1-BOLS-FEUP-26-15
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15)
Additional Information
Benefits
1.359,64€
Eligibility criteria
Full announcement also available at FEUP - FEUP| 1 Bolsa de investigação |DEEC-TNBC1-BOLS-FEUP-26-15
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15)
Selection process
Full announcement also available at FEUP - FEUP| 1 Bolsa de investigação |DEEC-TNBC1-BOLS-FEUP-26-15
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15)
Additional comments
Full announcement also available at FEUP - FEUP| 1 Bolsa de investigação |DEEC-TNBC1-BOLS-FEUP-26-15
Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. DEEC-TNBC1-BOLS-FEUP-26-15)
Work Location(s)
Number of offers available: 1
Company/Institute: FEUP
Country: Portugal
Contact
City: Porto
Website: https://sigarra.up.pt/feup/pt
Street: Rua Dr. Roberto Frias
Postal Code: 4200-465
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