Research Grant

2 semanas atrás

Coimbra, Portugal Instituto de Telecomunicações Tempo inteiro

**Scientific Area**:
Information and Data Sciences

**Group**:
Multimedia Signal Processing - Co

**Admission Requirements**:
**Work Objectives**:
: The objective of this project is to develop Resource Allocation (RA) algorithms for Cell-Free (CF) networks, specifically for the use case of Radio Stripe (RS) systems, aligning with the needs of user equipment (UE), thereby optimizing the system’s energy efficiency and overall spectral efficiency in real-time and with high flexibility. These algorithms will use low-complexity meta-heuristics or Machine Learning (ML) approaches tailored to different scenarios and network configurations.
A specific goal is to develop practical RA algorithms, considering imperfect Channel State Information (CSI) estimates, average channel indicators, and UE positioning estimates, along with the hierarchical structure of the CF/RS system, in order to mitigate interference between UEs.

**Applicable legislation**:
**Place of work**:
The work will be developed at the premises of Instituto de Telecomunicações at Coimbra, under the supervision of Prof. Marco Gomes

**Duration**:
6 months, with the possibility of renewal. Start date: 1st of january 2025 or soon thereafter.

**Monthly salary**:
**Selection criteria**:

- C1 (50%)
- C2 (40%)
Demonstrated experience in tasks related to the work plan of this project
- C3 (10%)
Oral and written fluency in English

F = C1 x 50% + C2 x 40% + C3 x 10%

**Jury**:

- Prof. Maria do Carmo Raposo de Medeiros, Universidade de Coimbra (President of the jury)
- Prof. Marco Alexandre Cravo Gomes, Universidade de Coimbra
- Prof. Fernando Manuel Santos Perdigao, Universidade de Coimbra

**Communication of the results**:
**Required Documents**:
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, either degree-granting or not, or declaration of honour confirming that complies with the conditions to enroll in the required/preferable higher education course.
NOTE: The proof of enrollment in a higher education course must be made until the contract is signed.

All the selection process is conducted through the IT web portal. No actions outside this platform are valid.

All the selection process is conducted through the IT web portal. No actions outside this platform are valid.

**Application Period**:
06-11-2024 to 20-11-2024

**Assistance**:
**Published on**:
05-11-2024

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