Scientific Area: Electrical Engineering, Electronic Engineering, Information Engineering

Mandatory admission requirements: PhD in Electronics & Communication/Telecommunications Engineering/ICT/ (obtained in the last three years, at the date of application).

Eligibility of candidates: candidates must meet the eligibility conditions set out in article 9 of the FCT IP Research Grant Regulation (2019).

Preferred factors:

- Basic knowledge of AI and Machine Learning for the developed framework;

-Experience in preparation of research funding proposals;

- Experience in tasks and management work associated with the Project and research program;

- Fluency in writing in English language;

- Excellent communication skills.

Monthly maintenance allowance amount: The fellowship amount corresponds to 1686,00€ per month, according to the fellowships amounts table directly attributed by the FCT, I.P. in the country (https://former.fct.pt/apoios/bolsas/docs/Tabela_de_Valores_SMM_2022.pdf) and will be paid by bank transfer, monthly, by the contracting entity. 

PhD in Electronics & Communication/Telecommunications Engineering/ICT/ (obtained in the last three years, at the date of application).

Candidates must meet the eligibility conditions set out in article 9 of the FCT IP Research Grant Regulation (2019).

Criteria and selection procedure: Three candidates who meet the admission requirements and according to the preference criteria will be considered for interview. Candidates will be evaluated according to the following considerations: curriculum evaluation (70%), interview (20%) and motivation letter (10%). Only candidates with a weighted average of 15 or higher will be admitted.

Composition of the Selection Jury: President: Prof. Dushantha Nalin K. Jayakody; Effective vowels: Prof. Gonçalo Valadão; Prof. Mário Marques da Silva. Substitute Member: Prof. Rui Dinis.

Disclosure/announcement of results: the threecandidates admitted for interview are invited by email. The announcement and the final results of the evaluation will be published through a list sorted by final score, in a public place on the websites of Autonoma TechLab (https://techlab.autonoma.pt) and  Universidade Autónoma de Lisboa (https://www.autonoma.pt), and the approved candidate will be notified by email. All candidates will be notified of the decision by email. 

Application deadline: the call is open between 27 January 2023 and 20 February 2023.

Form of submission of applications: applications must be formalized by sending a letter of application and the following documents: Detailed Curriculum Vitae attesting the candidate's experience, copy of the qualification certificate and motivation letter. Applications must be sent by email to gaid@autonoma.pt, contact 213177644, and must include the reference of the call in the subject field email to and must include the tender reference in the subject field BIPD _2023_1_ 2022.03897.PTDC

Failure to send any of the documents required in the application constitutes grounds for exclusion (according to Art. 10º of the Regalemento n.º 950/2019 de Bolsas de Investigação da FCT).

Appeal period: After a final decision has been made and candidates have been informed, appeals must be made within 15 working days, or sent to the highest executive body of the financing entity within 30 working days.

Appeal period: After a final decision has been made and candidates have been informed, appeals must be made within 15 working days, or sent to the highest executive body of the financing entity within 30 working days.

Duration of fellowship(s): Duration of 8,5 months, starting in 01st March 2023. A selection reserve list will be created, which can be used for a maximum of 4 months.

Final report: The grant holder must submit, until 60 working days after the end of the grant, a final report of the activities, in digital format.  This report should describe, in detail, all the activities carried out, the time spent on them, the objectives achieved and the respective URL addresses (if applicable).