INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within the scope of the Text2Story
funded by Fundo Europeu de Desenvolvimento Regional (FEDER) through the Operational Program Regional
North – NORTE 2020 and by National Funds through the FCT – Portuguese Foundation for Science and
Technology, I.P., project (reference PTDC/CCI-COM/31857/2017 (NORTE-01-0145-FEDER-031857)
1. GRANT DESCRIPTION
Type of grant: Research Grant (BI)
General scientific area: COMPUTER SCIENCE
Scientific subarea: Programming,Computer Systems,Informatics
Grant duration: 6 months, starting on 2021-09-01, with the possibility of being renewed until the end of the project.
Scientific advisor: Alípio Jorge
Workplace: INESC TEC, Porto, Portugal
Maintenance stipend: € 1104,64, according to the table of monthly maintenance stipend for FCT grants
(http://www.fct.pt/apoios/bolsas/valores), paid via bank transfer. Grant holders may be awarded potential
supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of
INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend.
Costs attributable to INESC TEC may include registration, enrolment or tuition fee stipend, either directly or through
reimbursement, during the grant duration.
The grant holder will benefit from health insurance, supported by INESC TEC.
Develop Machine Learning and NLP algorithms and tools to identify, formally represent and reuse narrative
structures from textual sources, with a focus on journalistic texts and medical texts in Portuguese and other
languages. The focus is on NLP algorithms and tools for extracting and understanding content.
3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:
We are looking for a highly motivated Master to join the team of researchers of the Text2Story project and to do
a PhD that will extend beyond the end of the project. The topic is Extraction of Narratives from text. The selected
candidate will work with INESC TEC’s Machine Learning and NLP / NLP team and will have the opportunity to
work in a dedicated and young environment, in close interaction with researchers, doctoral and post-doctoral
students working on varied Machine Learning topics, information extraction and computer science. The
candidate must be motivated to collaborate on other projects on time.
4. REQUIRED PROFILE:
MSc in Computer Science, Data Sciente or equivalent preferably focusing on NLP.
The awarding of the fellowship is dependent on the applicants’ enrolment in study cycle or non-award courses of
Higher Education Institutions.
Being able to use Portuguese as a language of study is important. Strong publications in NLP. Knowledge of
Python and development tools (e.g. GIT)
Motivation to work with NLP algorithms & tools; determination to get a PhD degree; Theoretical background and
experience on NLP and Machine Learning, particularly on Narrative Extraction; Good communication skills &
ability to cooperate within a team; Knowledge of programming languages(Python/R). First degree score of 15/20
minimum. Candidates not fulfilling minimum requirements may still apply.
5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS:
Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based
on the criteria referred to in Article 12 of the Regulations for Grants of INESC TEC, while the second phase
comprehends the Individual Interview (EI). All factors are evaluated on a scale of 0 to 100, taking into account the
applicants’ merit, suitability and conformity with the preference factors.
The weight of the AC factors are as follows: Academic Qualifications (FA, 50%), Scientific Publications (PC, 10%),
Experience (EX, 30%) and Motivation Letter (CM, 10%).
Candidates who score less than 50 points in the AC average will be considered excluded on absolute merit. The top
five candidates approved on absolute merit will be qualified for the individual interview. The Final Grade (CF) is
obtained by the weighted average of AC (80%) and EI (20%).
The Selection Jury is composed of the following members:
President of the Jury: Alípio Jorge
Full member: Ricardo Campos
Full member: Sérgio Nunes
Substitute member: João Vinagre
Release of results and prior hearing: the results of the selection process, as well as the terms and procedures for
prior hearing, will be released to the applicants by email, under the terms referred to in Article 13 of the Regulations
for Studentships and Fellowships of INESC TEC.
6. FORMALISATION OF APPLICATIONS:
1. Motivation letter;
2. Curriculum Vitae (must include the list of previous fellowships, their type, beginning and end dates, funding
entities and host institutions);
3. Certificate or diploma degree dully recognised in Portugal;
● Documents proving the awarding of academic degrees and diplomas, or the according recognition – in cases of academic degrees or
diplomas granted by a foreign higher education institution – can be dismissed in the application process, and replaced by the
applicant’s declaration of honour, with the verification of said condition taking place during the grant’s hiring stage. The submission of
the certificate is mandatory when signing the contract.
● Academic degrees or diplomas awarded by a foreign higher education institution require an authentication by a Portuguese higher
education institution, and the corresponding registration on the DGES platform, in conformity with Decree-Law no. 66/2018, of August
16, and Ordinance no. 33/2019, of January 25. More information available on the website
4. Proof of enrollment in a degree awarding study cycle or in a non degree awarding Higher Education program.
● The proof of enrollment may be presented just during the grant hiring stage.
5. Signed declaration stating the infringement of the grant holder’s duties (article 14, no. 4)
6. Documental evidence to support the country of residence, residence permit or other legally equivalent
document, in cases where the applicant is a foreigner or non-resident in Portugal – valid until the beginning of the grant.
7. Other supporting documents relevant to the final assessment.
Failure to deliver the required documents within the 90-day period after the date of the notice of the conditional
awarding of the grant implies its cancellation.
Application period: From 2021-07-21 to 2021-08-08
Submission of applications: the application will be formalised by submitting the form available in the Work With
Us section of INESC TEC website.
7. BINDING LEGISLATION AND REGULATION
The hiring process shall comply with the current legislation regarding the Research Grant Holder Statute, approved
by Law no. 40/2004 of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC
and for FCT Grants Regulation in force.
For more information, please check the Regulations for Grants of INESC TEC and relevant annexes at