12/01/2022

ONE research grant for candidates with BSc degree with reference number BI| 2022/246 is now available under the scope of project SARRROCA - PTDC/EEI-HAC/31819/2017, funded by FUNDAÇÃO PARA A CIÊNCIA E A TECNOLOGIA I.P.

This job offer has expired


  • ORGANISATION/COMPANY
    INESC ID
  • RESEARCH FIELD
    Engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    26/01/2022 23:00 - Europe/Athens
  • LOCATION
    Portugal › Lisboa
  • REFERENCE NUMBER
    SARRROCA - PTDC/EEI-HAC/31819/2017 - BI| 2022/246

OFFER DESCRIPTION

Public notice for research grant

SARRROCA - PTDC/EEI-HAC/31819/2017

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 research grant for candidates with BSc degree with reference number BI| 2022/246 is now available under the scope of project SARRROCA - PTDC/EEI-HAC/31819/2017, funded by Fundação para a ciência e a tecnologia i.p., under the following conditions:

2 | DURATION

6 months, starting in February 2022:

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

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 – 2 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
  3. INESC-ID Lisboa Grant Regulations

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

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 835.98€ 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/apoios/bolsas/docs/Tabela_Valores_SMM_LOE_2021.pdf, and shall be rendered through a monthly bank transfer to an account held by the grantee.

5 | OBJECTIVES/WORKPLAN

Study and development of hardware design for image recognition using neural networks.

6 | SCIENTIFIC SUPERVISION

The activity will be supervised by Rui António Policarpo Duarte, researcher at INESC-ID.

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

7 | ADMISSION REQUIREMENTS

The candidates should have a BSc in Electrical and electronic engineering, or related areas.

 

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

  1. a MSc programme – art. 6º, n.1

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf)

or

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

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf )

Preferential factors:

preference will be given to candidates who have strong:

  • Knowledge of reconfigurable architectures (Xilinx-FPGA), deep neural networks (DNN), toolchains for training, test and quantization of DNNs (using pytorch and brevitas) and tools to map DNN in SoC-FPGA (using HLS);
  • Knowledge in Portuguese language

 

8 | EVALUATION CRITERIA AND COMMITEE

The selection will be according to the following criteria:

  1. 40% - Academic record - degree average
  2. 40% - experience in design and synthesis of hardware reconfigurable accelerators
  3. 20% - experience training quantized neural networks

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

Jury

Name

Professional Status

Institutions

President

Rui António Policarpo Duarte

Researcher

INESC-ID

Member

Horácio Cláudio Campos Neto

Researcher / Associate professor

INESC-ID / IST

Member

Mário Pereira Vestias

Researcher / Coordinator Professor

INESC-ID / ISEL

Substitute member

José João Henriques Teixeira de Sousa

Researcher / Assistant professor

INESC-ID / IST

Substitute member

Paulo Ferreira Godinho Flores

Researcher / Associate professor

INESC-ID / IST

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.

 

 

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

 

2

Detailed list of grades (pdf form);

 

 

 

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)

 

 

 

4

Detailed curriculum vitae (pdf form);

 

 

 

5

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

 

 

 

6

Name of two personal references (pdf form).

 

 
 
 
 
 

Application Dates

From

To

13-01-2022

 

26-01-2022

More Information

Benefits

The monthly amount of the grant 835.98€ 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/apoios/bolsas/docs/Tabela_Valores_SMM_LOE_2021.pdf, and shall be rendered through a monthly bank transfer to an account held by the grantee

Eligibility criteria

The candidates should have a BSc in Electrical and electronic engineering, or related areas.

 

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

  1. a MSc programme – art. 6º, n.1

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf)

or

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

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf )

Preferential factors:

preference will be given to candidates who have strong:

  • Knowledge of reconfigurable architectures (Xilinx-FPGA), deep neural networks (DNN), toolchains for training, test and quantization of DNNs (using pytorch and brevitas) and tools to map DNN in SoC-FPGA (using HLS);
  • Knowledge in Portuguese language

Selection process

The selection will be according to the following criteria:

  1. 40% - Academic record - degree average
  2. 40% - experience in design and synthesis of hardware reconfigurable accelerators
  3. 20% - experience training quantized neural networks

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

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Bachelor Degree or equivalent
  • REQUIRED LANGUAGES
    PORTUGUESE: Good

Skills/Qualifications

The candidates should have a BSc in Electrical and electronic engineering, or related areas.

 

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

  1. a MSc programme – art. 6º, n.1

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf)

or

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

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf )

Preferential factors:

preference will be given to candidates who have strong:

  • Knowledge of reconfigurable architectures (Xilinx-FPGA), deep neural networks (DNN), toolchains for training, test and quantization of DNNs (using pytorch and brevitas) and tools to map DNN in SoC-FPGA (using HLS);
  • Knowledge in Portuguese language

Specific Requirements

The candidates should have a BSc in Electrical and electronic engineering, or related areas.

 

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

  1. a MSc programme – art. 6º, n.1

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf)

or

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

    (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.pdf )

Preferential factors:

preference will be given to candidates who have strong:

  • Knowledge of reconfigurable architectures (Xilinx-FPGA), deep neural networks (DNN), toolchains for training, test and quantization of DNNs (using pytorch and brevitas) and tools to map DNN in SoC-FPGA (using HLS);
  • Knowledge in Portuguese language

Work location(s)
1 position(s) available at
INESC ID
Portugal
Lisboa
Lisboa
1000-029
Rua Alves Redol, 9

EURAXESS offer ID: 727771

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