INESC TEC is accepting applications to award 1 Research Grant for MSC holders - HOSKY - CRACS ([...]

European Commission; Portugal; Presencial; EUR 20 000 - 30 000; Tempo integral

Resumo da oferta

A INESC TEC, em Porto, Portugal, está a aceitar candidaturas para uma Bolsa de Investigação com enfoque em programação, cibersegurança e inteligência artificial. Procuramos candidatos com mestrado nesta área e experiência em publicações científicas. O trabalho inclui estudos de extração de dados, detecção de anomalias e desenvolvimento de protótipos.

Serviços

Seguro de saúde

Possíveis suplementos

Qualificações

• Mestre em Ciências da Computação com especialização em Cibersegurança e Inteligência Artificial.
• Publicação de pelo menos um artigo científico em revista Q1 ou equivalente.

Responsabilidades

• Estudar infraestrutura e interação relacionadas à extração de características de dados.
• Implementar métodos de detecção de anomalias em dados em tempo real.

Conhecimentos

Programação

Inteligência Artificial

Cibersegurança

Formação académica

MSc em Ciência da Computação

Descrição da oferta de emprego

Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 9 Jul 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 1 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number AE2025-0264 Is the Job related to staff position within a Research Infrastructure? No

CALL FOR GRANT APPLICATIONS (AE2025-0264)

INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within the scope of the within the HOSKY project with reference 2024.07347.IACDC, co-funded 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, measure RE-C05-i08.M04 - To support the launch of a programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific training programme, as part of the funding contract signed between the Recovering Portugal Mission Structure (EMRP) and the FCT - Fundacao para a Ciencia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology), as intermediary beneficiary.

1. GRANT DESCRIPTION

Type of grant: Research Grant (BI)

General scientific area: COMPUTER SCIENCE

Scientific subarea: Programming,Informatics

Workplace: INESC TEC, Porto, Portugal

Maintenance stipend: 1309.64, according to the table of monthly maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), 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.

The grant holder will benefit from health insurance, supported by INESC TEC.

2. OBJECTIVES:

Study of the infrastructure and interactions related to feature extraction from open or closed data sources;
Study and implementation of an anomaly detection method in streaming and real-time contexts;
Definition of adversarial attacks within the context of Artificial Intelligence methods and implementation of a prototype;
Integration of the "human-in-the-loop" concept in a prototype environment.;

3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:

The work plan includes an in-depth study of tools, infrastructures, and methodologies associated with the collection, processing, and feature extraction of data from both open and closed sources. Particular attention will be given to the automatic detection of anomalies in real-time data, through the design and implementation of methods suitable for streaming contexts.;
In parallel, strategies for adversarial attacks on Artificial Intelligence models will be analysed and defined, with the goal of understanding vulnerabilities and developing appropriate defence mechanisms. This work will culminate in the development of a prototype that integrates these components, including human participation in the decision-making loop ("human-in-the-loop"), promoting a more robust, transparent, and adaptable system.

4. REQUIRED PROFILE:

Admission requirements:
MSc in Computer Science, with a specialization in Cybersecurity and Artificial Intelligence.
The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.

Preference factors:
Scientific publications in the areas of Host Intrusion Detection and Stream-based Artificial Intelligence.

Minimum requirements:
One scientific article published in a Q1 journal or equivalent (from WoS).

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, 10) and Motivation Letter (CM, 20).
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).

DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.

The Selection Jury is composed of the following members:
President of the Jury: João Soares Resende
Full member: Miguel Gonçalves Areias
Full member: Ricardo Rocha
Substitute member: Fernando Silva

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 2025-06-26 to 2025-07-09

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 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdfFCT Grants Regulation in force.

For more information, please check the Regulations for Grants of INESC TEC and relevant annexes at www.inesctec.pt/bolsas

Academic qualifications: MSc in Computer Science, with a specialization in Cybersecurity and Artificial Intelligence.
Minimum profile: One scientific article published in a Q1 journal or equivalent (from WoS).
Preference factors: Scientific publications in the areas of Host Intrusion Detection and Stream-based Artificial Intelligence.

Research Field Computer science » Programming Years of Research Experience None

Research Field Computer science » Informatics Years of Research Experience None

Additional Information

Maintenance stipend: 1309.64 euros, according to the table of monthly
maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), 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.

Selection process

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, 10) and Motivation Letter (CM, 20).
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).

DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.

The Selection Jury is composed of the following members:
President of the Jury: João Soares Resende
Full member: Miguel Gonçalves Areias
Full member: Ricardo Rocha
Substitute member: Fernando Silva

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.