Call for Research Grant Assignment | 1233496 | ADDLIFE

Universidade de Coimbra; Portugal; Presencial; EUR 14 000 - 17 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Monthly grant

Resumo da oferta

Universidade de Coimbra offers a 10-month research grant in the Department of Informatics Engineering for a Master graduate enrolled in a doctoral program in Informatics Engineering. The project focuses on optimizing ML-based image data pipelines for computer vision and aims to advance state-of-the-art methods.

The grantee will work under the supervision of João Nuno Gonçalves Costa Cavaleiro Correia, contribute to experimental validation, and produce scientific documentation and a paper.

Qualificações

• Masters degree in Biomedicine; doctoral study in Informatics Engineering.

Responsabilidades

• Research into machine learning-based image data pipelines for computer vision.
• Analyze state-of-the-art ML techniques for segmentation and classification in image pipelines.
• Propose a framework and conduct experiments to validate approaches; write a scientific paper.
• Prepare technical and scientific documentation.

Formação académica

Masters degree in Biomedicine

Enrolled in doctoral degree in Informatics Engineering

Descrição da oferta de emprego

Organisation/Company Universidade de Coimbra Department Department of Informatics Engineering Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 21338 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Call for Research Grant Assignment

The call is governed by this Notice of Opening, the University of Coimbra Research Grant Regulations (RBI-UC), subsidiarily by the Research Grant Regulations of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation.

Procedure Reference: IT137-26-424

I - Legal admission requirements

• I.I - Grant Recipients: Master’s degree holders, in the scientific area of Biomedicine, enrolled in a doctoral degree in Informatics Engineering.
• I.II - Ineligible candidates: Candidates who have already benefited from two research grant contracts with UC in the condition of being enrolled in a doctoral degree, regardless of whether each contract has reached the maximum legally permitted duration.
• I.III - Eligible for grant assignment if meeting the requirements: a) Portuguese nationals or nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Beneficiaries of political refugee status

II - Grant location

Department of Informatics Engineering, University of Coimbra

III - Scientific supervision/coordination of the grant

João Nuno Gonçalves Costa Cavaleiro Correia

IV - Work Plan / Goals to be achieved

Research into approaches for optimizing machine learning-based image data pipelines for computer vision. Planned activities:

• Analysis and study of state-of-the-art techniques in machine learning-based image segmentation and classification models, focusing on pipelines for preparing image data for training and validation;
• Proposal of a framework incorporating suitable approaches;
• Experimentation and validation of the approaches;
• Writing a scientific paper;
• Writing technical and scientific documentation.

In addition to gaining knowledge in the scientific domain of the problem, the scholarship holder is expected to develop skills in research methods and teamwork.

V - Initial grant duration

10 months

V.I - Renewal Possibility

Possibily renewable

VI - Funding and financial conditions of the grant

• VI.I - Monthly grant amount (paid by bank transfer at the end of each month): 1.359,64€
• VI.II - In addition to the above amounts, voluntary social security (SSV) is included when the grant has a duration of six months or more, corresponding to the first level, if the candidate opts for it, as well as mandatory personal accident insurance.
• VI.III - Funding: The grant(s) assigned under this call will be funded by European Regional Development Fund (ERDF) through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030| reference of operation no. 21338, operation COMPETE2030-FEDER-02218500 on Balcão dos Fundos.
• VI.IV - Information and publicity about the funding: All R&D activities directly or indirectly financed by the grant, namely all communications, publications and scientific creations, as well as theses, carried out with the support provided by the grant, must mention the financial support of the European Regional Development Fund (ERDF), through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030.

VII - Selection Methods: Evaluation of the academic record (AR) and/or Interview (I)

• VII.I - AR - In the evaluation of the academic record, the candidates' academic performance will be assessed according to the following weights and criteria:
• Criterion 1: Graduation average
• Criterion 2: Adequacy of the candidate’s profile to the work plan to be developed
• VII.II - I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria:
• Criterion 1: Demonstration of interest in conducting research in the fields of machine learning and computer vision
• Criterion 2: Motivation and interest
• VII.III - The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following formulas:
• AR: criterion 1 * (60%) + criterion 2 * (40%) = 100%
• I: criterion 1 * (60%) + criterion 2 * (40%) = 100%
• Final Classification (FC): AR * (50%) + I * (50%) = 100%
• VII.VI - All candidates who score above 50 in the AR will proceed to the next method, i.e., the interview.
• VII.V - Candidates who score below 50 in any selection method will be excluded, and subsequent methods, if any, will not apply to them. Candidates who are duly notified but fail to attend the interview (if applicable) or withdraw at any stage will also be excluded.
• VII.VII - Tie-breaking criteria: In the event of a tie in the rankings, candidates will be ordered in descending order as follows:
• Based on the score obtained in the first method applied;
• Based on the score of their academic qualifications.
• VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ .
• VII.IX - Jury Composition:
• President: João Nuno Gonçalves Costa Cavaleiro Correia
• Effective Members: Nuno António Marques Lourenço, João Pedro Gonçalves Teixeira de Macedo
• Alternate Members: Catarina Sofia Henriques Maçãs, Tiago Filipe dos Santos Martins

IX – Application deadline

01/10/2026 to 15/10/2026

X - Activity Regime

The grant does not create or constitute a legal-labor relationship. It is carried out under an exclusive dedication regime, and the grantee is awarded the Research Grantee Status, as stipulated in the EBI and the RBI-UC.

XI - Notification of Candidates

All notifications will be made through the electronic platform Apply UC, under the terms of subparagraph c) of paragraph 1 and subparagraph b) of paragraph 2 of Article 112 of the CPA and Article 22 of the RBI-UC. The notifications will take effect after being made, as provided in Article 113 of the CPA.

XII - Comment on Jury Decisions

Under Articles 121 and 122 of the CPA and Article 22 of the RBI-UC, candidates may, if they wish, submit comments regarding the jury's decisions within 10 business days, through the "Audiência dos Interessados" option in the platform's procedure section.

XIII - Complaint or Appeal

Candidates may also submit a complaint within 15 business days or an appeal to the UC's highest-ranking official within 30 business days, both following the respective notification, under Articles 191 and 192 of the CPA.

XIV - Acceptance and Renunciation

Selected candidates must declare in writing, within five business days of notification, their acceptance of the grant and confirm that they meet the requirements to accept the proposed start date of the grant contract. Unless a justifiable reason is provided, failure to provide this declaration within the stipulated time will be considered a renunciation of the grant. In case of renunciation or withdrawal by the selected candidate, the next candidate on the final classification list will be notified.

XV - Competition Process & Contact

The full competition process can be consulted by candidates, subject to prior scheduling, by sending an email to the Human Resources Management Service at: [e-mail] .

XVI - Equal Opportunities and Diversity

In compliance with subparagraph h) of Article 9 of the Constitution, the University of Coimbra, as an employer, actively promotes a policy of equal opportunities between men and women in terms of employment access and career progression, ensuring that any form of discrimination is strictly avoided. It encourages underrepresented minorities in each area to apply.

Accordingly, no one may be privileged, benefited, disadvantaged, or deprived of any right or exempted from any duty on the grounds of ancestry, age, sexual orientation, gender, marital status, family status, economic situation, education, social origin or condition, genetic heritage, reduced work capacity, disability, chronic illness, nationality, ethnic origin or race, place of origin, language, religion, political or ideological beliefs, or trade union membership.

The University of Coimbra also promotes measures to facilitate the balance between professional, family, and personal life, recognizing the efforts of its employees and fostering motivation.

XVII - Annual Activity Reports

The grantee must submit annual activity reports for each renewal and at the end of the grant contract, as stipulated in Article 7 of the RBI-UC, subject to an opinion issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations.