1. Academic qualifications: Applicants holding a Master's degree in Computer Engineering, Electrical and Computer Engineering, or related fields are eligible to apply, provided they commit to submitting proof of enrolment and registration before the research grant agreement is signed. Alternatively, applicants holding a Bachelor's degree in Computer Engineering, Electrical and Computer Engineering, or related fields are eligible, provided they are enrolled in a Master's programme at the University of Algarve in a relevant area, or commit to submitting proof of enrolment and registration before the grant agreement is formalised.
2. For admission and curriculum assessment purposes, particular consideration will be given to demonstrated expertise: (i) computer vision; (ii) deep learning, namely the implementation and training of CNN and/or Transformer networks, as well as proficiency in Python with PyTorch and/or Keras; (iii) utilisation of LLMs and VLMs; (iv) utilisation of Git, reproducible environments, testing and code documentation. It is further recorded that knowledge and prior use of edge AI boards constitute a non-mandatory requirement.
3. Technical-scientific oral and written proficiency in English is mandatory, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR), or an equivalent qualification. A C1 level or documented experience in producing technical documentation, reports, software documentation, or scientific publications in English will be considered an asset. This requirement stems from the need to read and prepare technical documentation, communicate effectively with the project team and international partners, and participate in R&D meetings. Failure to provide adequate evidence of technical English proficiency, or to demonstrate the required level of competence, will constitute grounds for exclusion from the selection process.
4. Taking into account paragraphs 1 and 2 of Article 6 of the Research Grants Regulations of the Foundation for Science and Technology or paragraphs 1 and 2 of Article 5 of the University of the Algarve's Research Fellowship Regulations: "1. Research grants, hereinafter referred to as BI, are intended for R&D activities by students enrolled in an integrated master's degree, a master's degree or a doctorate, with a view to consolidating their scientific training through the development of research work leading to the award of the respective academic degree, whether or not integrated into R&D projects. 2. The scholarships referred to in this article may also be intended for the performance of R&D activities by graduates or masters enrolled in non-degree courses integrated into the educational project of a higher education institution, developed in association or cooperation with one or more R&D units."
5. Preference and Selection Condition: Preference will be given to applicants holding a Master's degree who undertake to enroll in a UAlg doctoral programme under the conditions specified above. Applicants holding a Bachelor's degree may be selected only if no Master's degree holders who meet the admission requirements apply, or, where such applicants do apply, if they do not possess the required academic background and/or the experience corresponding to the requirements established in this call for applications.

The following are mandatory cumulative requirements, which must be demonstrated through the curriculum vitae, technical portfolio, supporting documentation, and/or the interview process. Applicants must provide evidence of proven experience in all of the following areas: (a.1) computer vision; (a.2) deep learning, namely the implementation and training of CNN and/or Transformer networks, as well as proficiency in Python with PyTorch and/or Keras; (a.3) utilisation of LLMs and VLMs; (a.4) utilisation of Git, reproducible environments, testing and code documentation. It is further recorded that knowledge and prior use of edge AI boards constitute a non-mandatory requirement.

The mandatory requirement of oral and written technical-scientific proficiency in English, at a minimum level of B2 according to the Common European Framework of Reference for Languages (CEFR), or an equivalent qualification, with C1 level proficiency considered an asset, will be assessed during the eligibility review and, where applicable, during the interview. Failure to provide adequate evidence or demonstrate the required level of proficiency will result in the applicant's exclusion from the competition.

• João Miguel Fernandes Rodrigues (Presidente) (Professor coordenador principal; Instituto Superior de Engenharia);
• Pedro Jorge Sequeira Cardoso (2º Vogal efetivo) (Professor coordenador; Instituto Superior de Engenharia);
• Jaime Afonso do Nascimento Carvalho Martins (1º Vogal efetivo) (Professor adjunto; Instituto Superior de Engenharia);
• Roberto Célio Lau Lam (1º Vogal suplente) (Professor adjunto; Instituto Superior de Engenharia);

1. Official identification document (simple copy or legal equivalent). Applicants of non-Portuguese nationality must present a residence permit, permanent residence certificate, or long-term resident status, valid on the scholarship start date. Any of these may be replaced, in its absence, by a declaration of honor by the candidate. However, this must be submitted during the scholarship contracting phase, under penalty of forfeiture of the scholarship award;
2. Curriculum Vitae;
3. Copy of the qualification certificates for the academic degrees held, specifying the final grade and, if possible, the grades obtained in all courses taken;
4. Other documents deemed relevant due to the type and modality of the scholarship.
5. The Application for Application to the Competition, dated and signed, must be addressed to the President of the Competition Evaluation Panel, https://www.ualg.pt/sites/default/files/documentos/2022-12/anexo-iii-requerimento-para-candidatura-bolsa-pt.pdf, by email to jrodrig@ualg.pt, Refª. AI.INSIGHTS_B#3. In the aforementioned application, you must expressly consent to all notifications related to the bidding process being sent to the indicated email address.

1. Individual Taxpayer Registry (INV) information, if the applicant is a nationality other than Portuguese, must be submitted during the scholarship agreement process, under penalty of forfeiture of the scholarship award;
2. Documents proving that the applicant meets the requirements for the respective type of scholarship, namely, proof of enrollment and registration and the study cycle or course that does not confer an academic degree;
3. Declaration of the advisor(s) assuming responsibility for supervising the work plan, in accordance with Article 5-A of the Research Scholarship Statute, as well as guaranteeing the necessary conditions for the successful development of the work and compliance with the duties set forth in Article 13 of the Research Scholarship Statute;
4. Declaration of Commitment to the Exclusive Dedication Regime.

Candidates may, if they so wish, comment on the draft decision to award the requested scholarship, at a hearing for interested parties within 10 business days, under the terms and for the purposes set forth in Article 121 of the Code of Administrative Procedure.

Candidates have the right to complain to the evaluation panel within 10 business days regarding the commission or omission of any act.

An appeal may be filed against the final decision of the application evaluation panel to the Rector within 10 business days of notification.

After receiving all required documentation, a scholarship contract will be signed with the selected candidate(s) in accordance with the attached template.

At the end of each fellowship contract period, the advisor will evaluate the fellow(s)' work by applying the following criteria, in accordance with the attached template:

1. Compliance with the established working hours, attendance requirements, and the exclusive dedication regime;
2. Fulfilment of the work plan, specifically the development of models for edge AI boards;
3. Validation of the developed software through testing using edge AI boards.

The University of Algarve reserves the right to cancel the fellowship award process, within the scope of the Project in question, whenever funding is not awarded or the scholarship duration exceeds the project completion date.

1. Academic qualifications: Applicants holding a Master's degree in Computer Engineering, Electrical and Computer Engineering, or related fields are eligible to apply, provided they commit to submitting proof of enrolment and registration before the research grant agreement is signed. Alternatively, applicants holding a Bachelor's degree in Computer Engineering, Electrical and Computer Engineering, or related fields are eligible, provided they are enrolled in a Master's programme at the University of Algarve in a relevant area, or commit to submitting proof of enrolment and registration before the grant agreement is formalised.
2. For admission and curriculum assessment purposes, particular consideration will be given to demonstrated expertise: (i) computer vision; (ii) deep learning, namely the implementation and training of CNN and/or Transformer networks, as well as proficiency in Python with PyTorch and/or Keras; (iii) utilisation of LLMs and VLMs; (iv) utilisation of Git, reproducible environments, testing and code documentation. It is further recorded that knowledge and prior use of edge AI boards constitute a non-mandatory requirement.
3. Technical-scientific oral and written proficiency in English is mandatory, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR), or an equivalent qualification. A C1 level or documented experience in producing technical documentation, reports, software documentation, or scientific publications in English will be considered an asset. This requirement stems from the need to read and prepare technical documentation, communicate effectively with the project team and international partners, and participate in R&D meetings. Failure to provide adequate evidence of technical English proficiency, or to demonstrate the required level of competence, will constitute grounds for exclusion from the selection process.
4. Taking into account paragraphs 1 and 2 of Article 6 of the Research Grants Regulations of the Foundation for Science and Technology or paragraphs 1 and 2 of Article 5 of the University of the Algarve's Research Fellowship Regulations: "1. Research grants, hereinafter referred to as BI, are intended for R&D activities by students enrolled in an integrated master's degree, a master's degree or a doctorate, with a view to consolidating their scientific training through the development of research work leading to the award of the respective academic degree, whether or not integrated into R&D projects. 2. The scholarships referred to in this article may also be intended for the performance of R&D activities by graduates or masters enrolled in non-degree courses integrated into the educational project of a higher education institution, developed in association or cooperation with one or more R&D units."
5. Preference and Selection Condition: Preference will be given to applicants holding a Master's degree who undertake to enroll in a UAlg doctoral programme under the conditions specified above. Applicants holding a Bachelor's degree may be selected only if no Master's degree holders who meet the admission requirements apply, or, where such applicants do apply, if they do not possess the required academic background and/or the experience corresponding to the requirements established in this call for applications.

The following are mandatory cumulative requirements, which must be demonstrated through the curriculum vitae, technical portfolio, supporting documentation, and/or the interview process. Applicants must provide evidence of proven experience in all of the following areas: (a.1) computer vision; (a.2) deep learning, namely the implementation and training of CNN and/or Transformer networks, as well as proficiency in Python with PyTorch and/or Keras; (a.3) utilisation of LLMs and VLMs; (a.4) utilisation of Git, reproducible environments, testing and code documentation. It is further recorded that knowledge and prior use of edge AI boards constitute a non-mandatory requirement.

The mandatory requirement of oral and written technical-scientific proficiency in English, at a minimum level of B2 according to the Common European Framework of Reference for Languages (CEFR), or an equivalent qualification, with C1 level proficiency considered an asset, will be assessed during the eligibility review and, where applicable, during the interview. Failure to provide adequate evidence or demonstrate the required level of proficiency will result in the applicant's exclusion from the competition.

• João Miguel Fernandes Rodrigues (Presidente) (Professor coordenador principal; Instituto Superior de Engenharia);
• Pedro Jorge Sequeira Cardoso (2º Vogal efetivo) (Professor coordenador; Instituto Superior de Engenharia);
• Jaime Afonso do Nascimento Carvalho Martins (1º Vogal efetivo) (Professor adjunto; Instituto Superior de Engenharia);
• Roberto Célio Lau Lam (1º Vogal suplente) (Professor adjunto; Instituto Superior de Engenharia);

1. Official identification document (simple copy or legal equivalent). Applicants of non-Portuguese nationality must present a residence permit, permanent residence certificate, or long-term resident status, valid on the scholarship start date. Any of these may be replaced, in its absence, by a declaration of honor by the candidate. However, this must be submitted during the scholarship contracting phase, under penalty of forfeiture of the scholarship award;
2. Curriculum Vitae;
3. Copy of the qualification certificates for the academic degrees held, specifying the final grade and, if possible, the grades obtained in all courses taken;
4. Other documents deemed relevant due to the type and modality of the scholarship.
5. The Application for Application to the Competition, dated and signed, must be addressed to the President of the Competition Evaluation Panel, https://www.ualg.pt/sites/default/files/documentos/2022-12/anexo-iii-requerimento-para-candidatura-bolsa-pt.pdf, by email to jrodrig@ualg.pt, Refª. AI.INSIGHTS_B#3. In the aforementioned application, you must expressly consent to all notifications related to the bidding process being sent to the indicated email address.

1. Individual Taxpayer Registry (INV) information, if the applicant is a nationality other than Portuguese, must be submitted during the scholarship agreement process, under penalty of forfeiture of the scholarship award;
2. Documents proving that the applicant meets the requirements for the respective type of scholarship, namely, proof of enrollment and registration and the study cycle or course that does not confer an academic degree;
3. Declaration of the advisor(s) assuming responsibility for supervising the work plan, in accordance with Article 5-A of the Research Scholarship Statute, as well as guaranteeing the necessary conditions for the successful development of the work and compliance with the duties set forth in Article 13 of the Research Scholarship Statute;
4. Declaration of Commitment to the Exclusive Dedication Regime.

Candidates may, if they so wish, comment on the draft decision to award the requested scholarship, at a hearing for interested parties within 10 business days, under the terms and for the purposes set forth in Article 121 of the Code of Administrative Procedure.

Candidates have the right to complain to the evaluation panel within 10 business days regarding the commission or omission of any act.

An appeal may be filed against the final decision of the application evaluation panel to the Rector within 10 business days of notification.

After receiving all required documentation, a scholarship contract will be signed with the selected candidate(s) in accordance with the attached template.

At the end of each fellowship contract period, the advisor will evaluate the fellow(s)' work by applying the following criteria, in accordance with the attached template:

1. Compliance with the established working hours, attendance requirements, and the exclusive dedication regime;
2. Fulfilment of the work plan, specifically the development of models for edge AI boards;
3. Validation of the developed software through testing using edge AI boards.

The University of Algarve reserves the right to cancel the fellowship award process, within the scope of the Project in question, whenever funding is not awarded or the scholarship duration exceeds the project completion date.