Call for Research Grant Assignment | PROCESS: 1241148 / IT137-26-476 | Venture Inteligence

Universidade de Coimbra; Portugal; On-site; EUR 14,000 - 17,000; Full time

Job summary

Universidade de Coimbra invites applications for a research grant assignment in the field of Artificial Intelligence and Machine Learning. The project focuses on language models for document classification and requires enrolled PhD candidates in Informatics Engineering.

The role is a temporary grant at the Department of Informatics Engineering, with supervision by Nuno António Marques Lourenço. The grant lasts 3 months with potential renewal and a monthly amount of €1359.64, funded by FEDER

Qualifications

• Master's degree in Informatics Engineering enrolled in a Ph.D. program in Informatics Engineering.
• Eligible candidates include Portuguese nationals or nationals of EU Member States, or third-country nationals.

Responsibilities

• Analysis and study of language models for document classification;
• Design, implementation, and evaluation of a solution using language models for document classification;
• Analysis and validation of the developed solutions;
• Preparation of scientific documentation.

Education

Master's degree in Informatics Engineering enrolled in a Ph.D. program in Informatics Engineering

Job description

Organisation/Company Universidade de Coimbra Research Field Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 13 Nov 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 7113 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Call for Research Grant Assignment

The University of Coimbra opens a call for the assignment of a research grant, with 1 position(s), under the project VI, title Venture Inteligence.

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: IT137-26-476

I - Legal admission requirements

I.I - Grant Recipients:

• Master's degree in Informatics Engineering enrolled in a Ph.D. program in Informatics Engineering.

I.II - 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

Nuno António Marques Lourenço

IV - Work Plan / Goals to be achieved: The planned activities for the scholarship period are:

• Analysis and study of language models for document classification;
• Design, implementation, and evaluation of a solution using language models for document classification;
• Analysis and validation of the developed solutions;
• Preparation of scientific documentation.

These activities are intended to enable the scholarship holder to develop new knowledge and skills in Artificial Intelligence and Machine Learning.

V - Initial grant duration

3 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): € 1359,64

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 Fundo Europeu de Desenvolvimento Regional (FEDER) through the Regional Programme (CENTRO 2030) of Portugal 2030; reference of operation 21742, operation code CENTRO2030-FEDER-02306300 on Balcão dos Fundos.[LM2.1]

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 Fundo Europeu de Desenvolvimento Regional (FEDER), through the Regional Programme (CENTRO 2030) of Portugal 2030[LM3.1]

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 - Academic performance in subjects within the areas of Programming, Artificial Intelligence, Machine Learning or related fields
• Criterion 2 - Master's degree average.

VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria:

• Criterion 1 - Interest in developing research and knowledge in the areas of Artificial Intelligence and Machine Learning
• Criterion 2 - Ability to express oneself and verbal fluency
• Criterion 3 - Knowledge of English
• Criterion 4 - Motivation and interest

VII.III- The evaluation of