Creating and sharing knowledge for telecommunications


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.
Research Grant - BI/Nº24 - 16/04/2021 - DeepSPIN
Funding Reference Number:
BI/Nº24 - 16/04/2021 - DeepSPIN
A research position for one Bolsa de Investigação (1 BPD) is opened at Instituto de Telecomunicações, in the scope of the Project DeepSPIN – Deep Structured Prediction In Natural Language Processing – Reference ERC-2017-STG 758969, funded by the applicable financial framework (H2020/ERC). The work for this position is in the area of Natural Language Processing and Machine Learning.
Scientific Area:
Networks and Services
Pattern and Image Analysis – Lx
Admission Requirements:
PhD in Computer Science, Electrical and Computer Engineering, Informatics, Applied Mathematics, or equivalent scientific areas - Excellent academic and practical background in programming, machine learning, and natural language processing - Knowledge of Computational Linguistics - The candidate should have good knowledge of written and spoken English, be self-motivated and show initiative in solving problems - Strong preference is given to candidates with immediate availability to initiate the work and sound knowledge of Python

Work Objectives:
The overarching goal of DeepSPIN is to bring together deep learning and structured prediction to solve challenging tasks in natural language processing, including machine translation, quality estimation, and syntactic parsing. Three research directions are: 1) Empower neural networks with a planning mechanism for structural search. Connections will be made to reinforcement learning and combinatorial optimization. 2) Induction of interpretable latent structure inside the network. This will exploit synergies with probabilistic inference and sparse modeling methods. 3) Weak supervision, domain adaptation, and data-driven regularization. This will reduce the need for labeled data
Applicable legislation:
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. 40/2004, dated August 18 (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, I.P. (Reg. nº 950/2019 de 16 de dezembro)
Place of work:
The work will be developed at the premises of Instituto de Telecomunicações at Lisboa, under the supervision of Professor André Martins.
12 months, with possibility of renewal
Monthly salary:
2.900€ (net) The payment will be made by bank transfer.
Selection criteria:
  • C1 (30%)
    Curriculum vitae/Academic performance
  • C2 (30%)
    Solid knowledge of the aforementioned areas
  • C3 (40%)
    Suitability of the candidates profile to the project

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 30% + C2 x 30% + C3 x 40%
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.
  • Prof. Mario Alexandre Teles de Figueiredo, Instituto Superior Técnico (President of the jury)
  • Prof. Alexandra Sofia Martins de Carvalho, Instituto Superior Técnico
  • Prof. Ana Luisa Nobre Fred, Instituto Superior Técnico
  • Prof. Hugo Humberto Plácido da Silva, Instituto de Telecomunicações Lisboa (Substitute)
Communication of the results:
Results will be published at the Instituto de Telecomunicações, at Lisboa. The selected candidate will be notified by email.
Apply online clicking on the “Apply Now” button in this form or at
E-mail submissions are not accepted.

Required Documents:
Cover letter explaining the interest in the position;
Detailed Curriculum Vitae with transcripts;

IMPORTANT NOTICE: If the selected candidate has a degree obtained outside Portugal, his degree must be certified in Portugal
For more information see:
Direcção-Geral do Ensino Superior (DGES):

All the selection process is conducted through the IT web portal. No actions outside this platform are valid.
Application Period:
30-04-2021 to 13-05-2021
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