INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within the scope of the
Produtech_R3 funded by IAPMEI with reference 60 Co-financed by Component 5 - Capitalization and Business
Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the
Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for
the period 2021 - 2026.
1. GRANT DESCRIPTION
Type of grant: Research Grant (BI)
General scientific area: ENGINEERING
Scientific subarea: Computer engineering
Area of Work: Computer Engineering
Grant duration: 12 months, starting on 2024-02-19, with the possibility of being renewed until the end of the
project.
Scientific advisor: Davide Rua Carneiro
Workplace: INESC TEC, Porto, Portugal
Maintenance stipend: € 1199,64, according to the table of monthly maintenance stipend for FCT grants , 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.
INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms
established in the internal document: "Payment of Tuition fees to grant holders".
The grant holder will benefit from health insurance, supported by INESC TEC.
2. OBJECTIVES:
Development of software platforms and applications (Backend and Frontend) and Machine Learning (ML).
3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:
Implementation and testing of systems for data ingestion and processing. Preparation of data and ML models
using Deep Learning (DL) techniques. Study of the application domain of ML models. Training, evaluation and
debugging of ML models (general and domain studied). Research and investigation into ML model training and
evaluation techniques. Dissemination of results (development and presentation of demonstrators, writing and
presentation of articles).
4. REQUIRED PROFILE:
Admission requirements:
Master's degree in computer engineering or related field.
The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of
Higher Education Institutions.
Preference factors:
Experience using PySimpleGUI to develop interactive applications.
Experience using Tensorboard to monitor and evaluate ML models.
Knowledge of the field of fabric production on Jaquard looms (quality control).
Minimum requirements:
Experience in software development using Python.
Experience in developing machine learning systems in Python (Sickit learn, PyTorch).
Experience in training and evaluating DL models for object identification (YOLO v7).
Experience in writing and presenting scientific articles.
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: António Henrique Almeida
Full member: Davide Rua Carneiro
Full member: Hugo Miguel Ferreira
Substitute member: António Lucas Soares
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:
Application Documents:
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;
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 2024-01-12 to 2024-01-25
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
www.inesctec.pt/bolsas
