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Job ID: 226586

INESC TEC | Research Grant (AE2023-0463)
INESC TEC


Date Posted Nov. 30, 2023
Title INESC TEC | Research Grant (AE2023-0463)
University INESC TEC
VILA REA, Portugal
Department HUMANISE
Application Deadline Dec. 15, 2023
Position Start Date Nov. 30, 2023
 
 
  • Graduate Student
  • Engineering - Other
    Electrical and/or Electronics
 
 

INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within the scope of the Data4LEM
funded by National Funds through FCT - Portuguese Foundation for Science and Technology, I.P., project
reference LA/P/0063/2020

1. GRANT DESCRIPTION
Type of grant: Research Grant (BI)
General scientific area: ENGINEERING
Scientific subarea: Electrical engineering
Area of Work: Engineering
Grant duration: 12 months, starting on 2024-01-04, with the possibility of being renewed until the end of the
project.
Scientific advisor: Tiago Manuel Campelos
Workplace: INESC TEC, Vila Real, 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:
- Learning, understanding, conceiving and developing Explainable Artificial Intelligence (xAI) models to support
the understanding of synthetic data generation models;
- Generate explanations for process of automatic generation new synthetic datasets, representative of real data,
regarding different energy resources;
- Writing scientific papers as part of a process that could end up in the accomplishment of a PhD.

3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:
- Data analysis considering different types of data, e.g., electricity consumption, consumer behavior, PV and
wind generation, Electric vehicles and electricity market prices based on multiple open-access data sets. The
data will be analyzed and processed considering the identification of any missing/erroneous entries, adjustment
of data granularity, format, etc.
- Study and review xAI approaches for synthetic data generation models;
- Development of novel xAI model to explain the synthetic data generation process. Being the most suitable
existing model from state-of-the-art review, SHAP will be used as basis for the explanations. SHAP will be
integrated with a GPT3-based language model, hence boosting the adaptation and richness of explanations, as
well as enabling different types of explanation types, namely through plots, graphs, tabular and text.
- Writing project reports and dissemination material

4. REQUIRED PROFILE:
Admission requirements:
Student in Electrical Engineering or similar
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 in Python, Matlab or AMPL programming languages
- Experience in the development of artificial intelligence and optimization models
- Fluency in English (spoken and written)
- Fluency in Portuguese (spoken and written)
Minimum requirements:
- Expert in a programming language

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, 55%), Scientific Publications (PC, 10%),
Experience (EX, 10%) and Motivation Letter (CM, 25%).
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: Tiago Manuel Campelos
Full member: Tiago André Soares
Full member: Arsénio Reis
Substitute member: João Barroso
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.
‚óŹ 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 2023-11-30 to 2023-12-15

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


 
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