INESC TEC is now accepting grant applications to award 1 Research Grant (BI) on the scope ENFIELD with
reference 101120657 funded by the European Commission under the Horizon Europe program for the period
2021-2027.
1. GRANT DESCRIPTION
Type of grant: Research Grant (BI)
General scientific area: COMPUTER SCIENCE
Scientific subarea:
Grant duration: 12 months, starting on 2023-11-07, with the possibility of being renewed until the end of the
project.
Scientific advisor: Ricardo Jorge Bessa
Workplace: INESC TEC, Porto, Portugal
Maintenance stipend: € 930,98 or 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:
The ENFIELD Project will create a unique European Centre of Excellence that excels the fundamental research
in the pillars of Adaptive, Green, Human-Centric, and Trustworthy AI that are new, strategic and of paramount
importance to successful AI development, deployment, and acceptance in Europe. It will further advance the
research within verticals of healthcare, energy, manufacturing and space by attracting the best talents,
technologies and resources from world-class research and industry players in Europe and by carrying out
top-level research activities in synchronization with industry challenges to reinforce a competitive EU position in
AI and create significant socio-economic impact for the benefit of European citizens and businesses.
The main objectives of the Fellowship are:
1) Combine physics-based knowledge with AI to increase interpretability and sample efficiency of modern AI
algorithms.
2) Develop and test autonomous trustworthy AI agents for the growing number of distributed energy resources
(and edge control devices) in electrical grids, such as storage and electric vehicles.
3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:
1) Hybridization of physics-based modelling and AI to create decision-support models for human operators
under forecast uncertainty.
2) Distributed learning algorithms and coordination strategies to achieve a global goal where, for instance,
aspects such as energy consumption (green AI) is covered by testing their implementation in edge devices.
3) Validate the developed methodologies on real data and different use cases focused on energy transition.
4) Dissemination of the work in international journals and/or conferences
4. REQUIRED PROFILE:
Admission requirements:
The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of
Higher Education Institutions.
Preference factors:
- Past experience (or academic background) with supervised and reinforcement learning
- Academic background in operations research
- Programming knowledge in Python
Minimum requirements:
Previous academic background in applied mathematics or computer science or informatics or electrical
engineering or similar
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, 20%),
Experience (EX, 20%) 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 (70%) and EI (30%).
The Selection Jury is composed of the following members:
President of the Jury: Ricardo Jorge Bessa
Full member: Jorge Correia Pereira
Full member: Carla Silva Gonçalves
Substitute member: Manuel Matos
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 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
https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=3744. 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 2023-09-28 to 2023-10-20
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
