Creating and sharing knowledge for telecommunications

Research Position:

Note: This is a free translation of the original announcement written in Portuguese, provided only for convenience of non-Portuguese speakers. Only the Portuguese version has official value.
Title:
B-0103-22 – Research Grant (BI) – 21/06/2022 – PC160 – UIDB/50008/2020
Funding Reference Number:
UIDB/50008/2020
Summary:
A research position for one Research Grant (“Bolsa de Investigação“) is open at Instituto de Telecomunicações, in the scope of the Project PC160 – UIDB/50008/2020. This project is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the UIDB/50008/2020 project reference.
Scientific Area:
Wireless Technologies
Group:
Radio Systems – Lx
Admission Requirements:
Research grants are intended:
- for students enrolled in a degree-conferring course to carry out R&D activities with the aim to consolidate their scientific training through the development of research work leading to the attainment of the respective academic degree or completion of the course (integrated or not in R&D projects).
- for students enrolled in courses that do not confer an academic degree but which are integrated in an educational project of a higher education institution and are developed in association or cooperation with one or several R&D units.

In what concerns the admission requirements for this research grant in particular:
- Master in Telecommunications or related areas;
- Be enrolled in a PhD in Telecommunications area.
Work Objectives:
- Design and implementation of machine learning techniques for channel estimation.
Applicable legislation:
A fellowship will be celebrated according to “Estatuto do Bolseiro de Investigação”, according to Law no. 40/2004, dated on 18th of August (Status of Scientific Research Fellow - https://www.fct.pt/apoios/bolsas/estatutobolseiro.phtml.pt), in its actual redaction, by Fellowship Regulation of Fundação para Ciência e Tecnologia (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt), according to Reg. 950/2019, dated on 16th of December, and also by “Regulation of Instituto de Telecomunicações’ fellowships”.
Place of work:
The work will be developed at the premises of Instituto de Telecomunicações – Lisboa, under the supervision of Professor Rui Dinis.
Duration:
3 months, with the possibility of renewal (according to the regulations defined by FCT). Start date: July 16th, 2022 or soon thereafter.
Monthly salary:
1144,64 € according to the table of grant amounts awarded directly by FCT for positions held in Portugal (www.fct.pt/apoios/bolsas/valores). The payment will be made by bank transfer.
Selection criteria:
  • C1 (50%)
    Curriculum vitae/Academic evaluation, with emphasis on MSc grades
  • C2 (30%)
    Suitability of the candidates’ profile to the project based on admission requirements and relevant work experience in machine learning techniques
  • C3 (20%)
    Interview of the candidate

Each criteria, and the final classification F will be evaluated in a scale (0-20). The candidates will be ordered according to:
F = C1 x 50% + C2 x 30% + C3 x 20%
In case of a tie, the tied candidates will be ordered according to C1, then C2...
The Jury has the right to not admit any of the candidates that applied for this position whenever they consider that no candidate meets the minimum requirements for the position.
Jury:
  • Prof. Rui Miguel Henriques Dias Morgado Dinis, Faculdade de Ciências e Tecnologia / Universidade Nova de Lisboa (President of the jury)
  • Prof. João Francisco Martinho Ledo Guerreiro, Faculdade de Ciências e Tecnologia / Universidade Nova de Lisboa
  • Prof. Luís Filipe Lourenço Bernardo, Faculdade de Ciências e Tecnologia / Universidade Nova de Lisboa
  • Prof. Mário Pedro Guerreiro Marques da Silva, Universidade Autónoma de Lisboa (Substitute)
Communication of the results:
Results will be published at the Instituto de Telecomunicações, Lisboa. The selected candidate will be notified by email.
Required Documents:
Cover letter explaining the interest in the position and relevant background, detailed Curriculum Vitae with transcripts, Copy of the relevant certificates (Copy of the Degree Certificate(s), if applicable); and proof of enrollment (or proof of acceptance) in a higher education course or declaration of intention to enroll in a higher education course.
NOTE: The proof of enrollment in a higher education course must be made until the contract is signed.
Apply online clicking on the “Apply Now” button.
After the notification of the results, candidates have 10 working days if they wish to contest the decision.
E-mail submissions will not be considered. (The cover letter and the CV are mandatory documents in the online application platform)
All the selection process is conducted through the IT web portal. No actions outside this platform are valid.
Application Period:
22-06-2022 to 05-07-2022
Assistance:
Send Email
Published on:
21-06-2022
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