Research Grant (“Bolsa de Investigação” ) - BI/ Nº 001/2022
|Funding Reference Number:
A research position for one Research Grant (“Bolsa de Investigação”) is open at Instituto de Telecomunicações, in the scope of project Bin-NET: PiM-Enabled Binary Neural Network Inferencing at the Edge with Ref. EXPL/EEI-HAC/1511/2021. This project is funded by Fundação para a Ciência e a Tecnologia.
Information and Data Sciences
Multimedia Signal Processing – Co
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: candidates must hold a Master’s Degree in Electrical and Computer Engineering, and be enrolled in courses (that confer or not an academic degree but) that are integrated in an educational project of a higher education institution in the area of Electrical and Computer Engineering (or similar).
Bin-NET will focus the research to a well-known and widely used class of neural networks: Convolutional Neural Networks (CNNs) and their binary variants, the Binary Neural Networks (BNNs). The work objectives consist of the development of a new substrate for the implementation of BNNs using processing-in-memory technologies, and is distributed across six tasks:
T1. Define the most suitable development platform to implement and validate operations in memory.
T2. Define a set of instructions / operations necessary for executing BNNs in-memory
T3. Implement in-memory support for data shuffling and enable the processing of the entire BNN in-memory.
T4. Evaluate and compare the performance of BNNs running in-memory to that of CNNs.
T5. Develop a compilation framework that facilitates the process of offloading a BNN (or an existing quantized CNN) to memory.
T6. Writing of scientific articles.
A fellowship will be celebrated according to the regulations defined by FCT, “Regulation of Instituto de Telecomunicações’ fellowships” and “Estatuto do Bolseiro de Investigação”, according to Law no. 123/2019, dated August 28 (Status of Scientific Research Fellow), in its actual redaction, and also by Fundação para Ciência e Tecnologia, I.P. Fellowship Regulation of Fundação para Ciência e Tecnologia. For direct access to the FCT RBI go to the following link https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt (Reg. 950/2019, published in the DR of 16 December).
|Place of work:
The work will be developed at the premises of Instituto de Telecomunicações at Coimbra, under the supervision of Prof. Gabriel Falcão Paiva Fernandes.
12 months, with the possibility of renewal. Start date: February 15st, 2021 or soon thereafter.
1.104,64€ 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.
Candidates may be interviewed for clarification of any aspect related to the above criteria
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 40% + C2 x 50% + C3 x 10%
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.
|Communication of the results:
Results will be published at the Instituto de Telecomunicações, in Coimbra. The selected candidate will be notified by email.
Motivation letter written in English, explaining the interest in the position, a detailed Curriculum Vitae with transcripts, degree certificate, and proof of enrollment in a higher education course. Apply online clicking on the “Apply Now” button in this form (link do Portal).
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)
NOTICE: Degrees obtained abroad are recognized by a Portuguese higher education institution under the terms of Decree-Law No. 66/2018, of August 16 and Ordinance No. 33/2019, of January 25. More information at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374
All the selection process is conducted through the IT web portal. No actions outside this platform are valid.
25-01-2022 to 08-02-2022