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ONE (1) research grant for candidates with MSc degree with reference number BI|2024/527 is now available under the scope of project ACCELERAT.AI – refª C644865762-00000008

INESC ID
19 Apr 2024

Job Information

Organisation/Company
INESC ID
Research Field
Engineering » Computer engineering
Researcher Profile
First Stage Researcher (R1)
Country
Portugal
Application Deadline
Type of Contract
Other
Job Status
Other
Is the job funded through the EU Research Framework Programme?
European Union / Next Generation EU
Reference Number
Project ACCELERAT.AI – refªC644865762-00000008-BI|2024/527
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Public notice for research grant

Project ACCELERAT.AI – refª  C644865762-00000008

BI|2024/527

 

INESC-ID - Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa is a R&D institute dedicated to advanced research and development in the fields of Information Technologies, Electronics, Communications, and Energy. INESC-ID has participated in more than 50 research projects funded by the European Union and more than 190 funded by national entities. Until today, our researchers have published more than 700 papers in international journal papers, more than 3000 papers in international conferences, and have registered 15 patents and/or brands.

1 | RESEARCH GRANT TYPE

ONE (1) research grant for candidates with MSc degree with reference number BI|2024/527 is now available under the scope of project ACCELERAT.AI – refª  C644865762-00000008 funded by Recovery and Resilience Plan (RRP)  https://recuperarportugal.gov.pt/ and by european funds Next Generation EU, under the following conditions:

2 | DURATION

FOUR (4)  months, starting in May 2024

-     Renewable, if the candidate is enrolled in a PhD program -  art. 6º, n.4 c)

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 4 years (included contract renewals)

 

-     Renewable, if the candidate is enrolled in a non-degree programme – art. 6º, n. 4 a)

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf  

subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 1 year (included contract renewals)

 

3 | LEGISLATION

A fellowship contract will be celebrated according to:

  1. Law 40/2004 of 18th of August (Scientific Research Fellow Status) and its successive amendments, including the amendments introduced by the Decree Law n. 123/2019 of 28 th of August 
    https://dre.pt/web/guest/legislacao-consolidada/-/lc/124281176/201912061112/73740605/diploma/indice?lcq=estatuto+do+bolseiro,
     
  2. Regulations for Research Grants of the Foundation for Science and Technology in force  https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

 

  1. INESC-ID Lisboa Grant Regulations

https://www.inesc-id.pt/scholarship-regulations/

  1. Recovery and Resilience Plan (RRP)

https://recuperarportugal.gov.pt/

 

The fellowship contract is awarded on an exclusive dedication basis – art. 5 of Scientific Research Fellow Status and art. 16 of Regulations for Research Grants of the Foundation for Science and Technology.

4 | MONTHLY AMOUNT

The monthly amount of the grant 1 259,64€ is in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atualizacao-2024.pdf  and shall be rendered through a monthly bank transfer to an account held by the grantee.

5 | OBJECTIVES/WORKPLAN

A significant number of transformer-based language models specifically tailored for European Portuguese have been recently proposed, such as Albertina, Gervásio or Glória, among others.  These type of models have shown exceptional modelling capabilities of language (understanding and generation) and remarkable performance on a wide range of natural language processing tasks. Concurrently, a similar effort by the research community has resulted in the proposal of several foundation models for speech and audio. These models are trained on extensive amounts of multilingual data to acquire robust representations that capture the intrinsic structure and relationships within speech and audio signals.

The goal of this project is to delve into the existing Portuguese language model landscape, conducting comparative analyses and assessing their potential utility. The final aim is to integrate these models into an automatic speech recognition system. This system will employ a pre-trained speech encoder, one of the studied pre-trained large language models (utilizing either encoder-decoder or decoder-only configurations), and a neural adaptor module.  

The work plan includes the following steps:

1. Research existing foundation models for European Portuguese, both text and speech/audio.

2. Analyse and compare them in common benchmarks.

3. Assess their potential utility as a part of an ASR pipeline that integrates both pre-trained speech encoders and LLMs.

6 | SCIENTIFIC SUPERVISION

The activity will be supervised by Alberto Abad and João Fernando Ferreira, both are researchers at INESC-ID and Associate Professors at Instituto Superior Técnico.

INESC ID will integrate the grantee in the research team of the scientific advisors.

7 | ADMISSION REQUIREMENTS

The candidates should have a MSc in Computer Science and Engineering, Electrical Engineering or Data Science.

 

By the grant start date, the candidate must be enrolled in

  1. a PhD programme – art. 6º, n.1

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

or

  1. a non-degree programme – art. 6º, n. 2

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

 

Preferential factors:

Preference will be given to candidates who have :

                - Fluent Portuguese speaker;

                - Hands-on experience with popular ML tools, such as TensorFlow, Keras and PyTorch;

                - Knowledge and experience in NLP tasks, in particular, with the most popular LLM architectures.

8 | EVALUATION CRITERIA AND COMMITTEE

The selection will be according to the following criteria:

  1. CV (50%)
  2. knowledge in the fields of machine learning (20%)
  3. knowledge in the specific field of NLP (20%)
  4. English language (10%)

 

An interview can be set up. In this case, the interview accounts for 100% of the criteria.

The jury may also decide not to assign the scholarship, if none of candidates meets the required conditions

 

Jury

Name

Professional Status

Institutions

President

Alberto Abad

Researcher/Assistant Professor

INESC ID |Tecnico

Member

João Fernando Ferreira

Researcher/Assistant Professor

INESC ID |Tecnico

Member

Bruno Emanuel da Graça Martins

Researcher/Assistant Professor

INESC ID |Tecnico

Substitute member

Rúben Solera Ureña

Researcher

INESC ID

Substitute member

Helena Gorete Silva Moniz

Researcher/Assistant Professor

INESC-ID/ School of Arts and Humanities at the University of Lisbon

9 | COMPLAIN AND APPEAL DEADLINES AND PROCEDURES

The jury has the faculty not to select a candidate who does not prove the requirements mentioned in required education Level and research experience

 

The admitted and excluded candidates will be notified by email of the final ranking list, including the copy of the Preliminary Report of the jury.

 

Prior Hearing and Deadline for Final Decision: After being notified, candidates have 10 working days to submit, if applicable, a formal rebuttal.

 

After that period, the jury notifies the candidates of the Final Report.

 

Excluded applicants may complain about the jury's final report for 15 working days after notification or appeal the jury's decision to the INESC ID Board of Directors for 30 working days after notification.

 

According to the Portuguese Law, a disabled candidate has a preference when in equal classification, which prevails over any other legal preference. Candidates must declare their respective degree of disability, the type of disability and the means of communication / expression to be used in the selection process, under the law.

10 | FORMALISATION OF APPLICATIONS

  • Applications are formalised by sending an email to rh@inesc-id.pt with the documents stated bellow and in pdf form. 
  • The application email should clearly state the reference of the research grant and project.

 

 

 

 

 

10.1

Single copy of official academic degree certificate in the required education level  

 

 

 

a) In the application submission, the candidates from portuguese education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree.

 

 

  • It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official academic degree certificate, required in education level

 

 

b) In the application submission, the candidates from foreigner education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree.

 

 

  • It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official diploma recognition, required in education level.

For more information about diploma recognition:

https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition

 

 

 

10.2

Detailed list of grades (pdf form);

 

 

 

 

10.3

Proof of enrolment required on  7 a) or 7 b) (pdf form);

 

 

 

In the application submission, the candidates may replace the proof of enrolment by a declaration of honour stating that they are/will be enrolled required in  7 a) or 7 b)

 

 

  • It is mandatory for the approval of the fellowship contract that the selected candidate presents an official copy of the enrolment, required in 7 a) or 7 b)

 

 

 

10.4

Detailed curriculum vitae (pdf form);

 

 

 

 

10.5

Motivation letter explaining the interest in the position (pdf form);

 

 

 

 

    

11 | Application Dates

From

 

To

19-04-2024

 

06-05-2024

Requirements

Research Field
Engineering » Computer engineering
Education Level
Master Degree or equivalent
Skills/Qualifications

A significant number of transformer-based language models specifically tailored for European Portuguese have been recently proposed, such as Albertina, Gervásio or Glória, among others.  These type of models have shown exceptional modelling capabilities of language (understanding and generation) and remarkable performance on a wide range of natural language processing tasks. Concurrently, a similar effort by the research community has resulted in the proposal of several foundation models for speech and audio. These models are trained on extensive amounts of multilingual data to acquire robust representations that capture the intrinsic structure and relationships within speech and audio signals.

The goal of this project is to delve into the existing Portuguese language model landscape, conducting comparative analyses and assessing their potential utility. The final aim is to integrate these models into an automatic speech recognition system. This system will employ a pre-trained speech encoder, one of the studied pre-trained large language models (utilizing either encoder-decoder or decoder-only configurations), and a neural adaptor module.  

The work plan includes the following steps:

1. Research existing foundation models for European Portuguese, both text and speech/audio.

2. Analyse and compare them in common benchmarks.

3. Assess their potential utility as a part of an ASR pipeline that integrates both pre-trained speech encoders and LLMs.

Specific Requirements

The candidates should have a MSc in Computer Science and Engineering, Electrical Engineering or Data Science.

 

By the grant start date, the candidate must be enrolled in

  1. a PhD programme – art. 6º, n.1

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

or

  1. a non-degree programme – art. 6º, n. 2

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

 

Languages
PORTUGUESE
Level
Mother Tongue
Languages
ENGLISH
Level
Good

Additional Information

Benefits

The monthly amount of the grant 1 259,64€ is in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atualizacao-2024.pdf  and shall be rendered through a monthly bank transfer to an account held by the grantee.

Eligibility criteria

The candidates should have a MSc in Computer Science and Engineering, Electrical Engineering or Data Science.

 

By the grant start date, the candidate must be enrolled in

  1. a PhD programme – art. 6º, n.1

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

or

  1. a non-degree programme – art. 6º, n. 2

https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf

 

Preferential factors:

Preference will be given to candidates who have :

                - Fluent Portuguese speaker;

                - Hands-on experience with popular ML tools, such as TensorFlow, Keras and PyTorch;

                - Knowledge and experience in NLP tasks, in particular, with the most popular LLM architectures.

Selection process

The selection will be according to the following criteria:

  1. CV (50%)
  2. knowledge in the fields of machine learning (20%)
  3. knowledge in the specific field of NLP (20%)
  4. English language (10%)

 

An interview can be set up. In this case, the interview accounts for 100% of the criteria.

The jury may also decide not to assign the scholarship, if none of candidates meets the required conditions

Additional comments

 

 

a) In the application submission, the candidates from portuguese education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree.

 

 

  • It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official academic degree certificate, required in education level

 

 

b) In the application submission, the candidates from foreigner education institutions may replace the copy of official academic degree certificate by a declaration of honour stating that they have the required academic degree.

 

 

  • It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official diploma recognition, required in education level.

For more information about diploma recognition:

https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition

 

 

 

Work Location(s)

Number of offers available
1
Company/Institute
INESC ID
Country
Portugal
State/Province
Lisbon
City
Lisbon
Postal Code
1000-029
Street
Rua Alves Redol, 9
Geofield

Where to apply

E-mail
rh@inesc-id.pt

Contact

State/Province
Lisboa
City
Lisboa
Website
Street
Rua Alves Redol, 9
Postal Code
1000-029
E-Mail
rh@inesc-id.pt