23/07/2021

ONE research grant for candidates with MSc degree with reference number BI| 2021/189 is now available under the scope of project MATISSE – A machine learning-based forecasting system for shellfish safety with refª DSAIPA/DS/0026/2019, funded by FCT, IP

This job offer has expired


  • ORGANISATION/COMPANY
    INESC ID
  • RESEARCH FIELD
    Engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    10/09/2021 23:00 - Europe/London
  • LOCATION
    Portugal › Lisboa
  • REFERENCE NUMBER
    MATISSE - DSAIPA/DS/0026/2019 - BI| 2021/189

OFFER DESCRIPTION

Public notice for research grant

DSAIPA/DS/0026/2019

MATISSE – A machine learning-based forecasting system for shellfish safety

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 MSc degree with reference number BI| 2021/189 is now available under the scope of project MATISSE – A machine learning-based forecasting system for shellfish safety with refª DSAIPA/DS/0026/2019, funded by FUNDAÇÃO PARA A CIÊNCIA E A TECNOLOGIA, I.P. (FCT I.P. ) and under the following conditions:

2 | DURATION

6 months, starting in October 2021

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

https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.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://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.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://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2019.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 1104,64 € 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/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

The work plan focuses on the development of machine learning methods for time series data, for the prediction of marine biotoxins in bivalves, using multivariate and heterogeneous longitudinal data from different sources, namely historical information from in-situ chemical and biological monitoring and weather records. The work will involve the development of clustering techniques and survival analysis under the scope of data science.

6 | SCIENTIFIC SUPERVISION

The activity will be supervised by Susana de Almeida Mendes Vinga Martins, Associate Professor at Técnico, Universidade de Lisboa and researcher at INESC-ID Lisboa.

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

7 | ADMISSION REQUIREMENTS

The candidates should have an MSc in Computer Science and Engineering, Biomedical Engineering, Mechanical Engineering, Electrotechnical Engineering, or related areas.

 

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

  1. a PhD 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:

  • with minimum grade of 14 out of 20 or equivalent.
  • With training in machine learning techniques and programming for multivariate data analysis (e.g., Python, R).

8 | EVALUATION CRITERIA AND COMMITEE

The selection will be according to the following criteria:

  1. curriculum evaluation (50%)
  2. relevant experience related with the workplan (25%),
  3. interview (25 %).

 

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

Jury

Name

Professional Status

Institutions

President

Susana de Almeida Mendes Vinga Martins

Researcher / Associate Professor

INESC ID - Tecnico, Ulisboa

Member

Rui Miguel Carrasqueiro Henriques

Researcher / Assistant Professor

INESC ID - Tecnico, Ulisboa

Member

Bruno Emanuel da Graça Martins

Researcher / Assistant Professor

INESC ID - Tecnico, Ulisboa

Substitute member

Alexandre Paulo Lourenço Francisco

Researcher / Associate Professor

INESC ID - Tecnico, Ulisboa

Substitute member

Mário Jorge Costa Gaspar da Silva

Researcher / Full Professor

INESC ID - Tecnico, Ulisboa

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 this document 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 this document 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 this document 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

Names of two personal references (pdf form).

 

 
 
 
 
 

Application Dates

From

To

26/07/2021

10/09/2021

More Information

Benefits

The monthly amount of the grant 1104,64 € 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/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 selection will be according to the following criteria:

  1. curriculum evaluation (50%)
  2. relevant experience related with the workplan (25%),
  3. interview (25 %).

 

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

Selection process

The candidates should have an MSc in Computer Science and Engineering, Biomedical Engineering, Mechanical Engineering, Electrotechnical Engineering, or related areas.

 

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

  1. a PhD 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 )

Additional comments

a) In the application submission, the candidates from portuguese education institutions may replace the 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 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: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Workplan: The work plan focuses on the development of machine learning methods for time series data, for the prediction of marine biotoxins in bivalves, using multivariate and heterogeneous longitudinal data from different sources, namely historical information from in-situ chemical and biological monitoring and weather records. The work will involve the development of clustering techniques and survival analysis under the scope of data science.

The candidates should have an MSc in Computer Science and Engineering, Biomedical Engineering, Mechanical Engineering, Electrotechnical Engineering, or related areas.

Specific Requirements

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

  1. a PhD 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:

  • with minimum grade of 14 out of 20 or equivalent.
  • With training in machine learning techniques and programming for multivariate data analysis (e.g., Python, R).

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

EURAXESS offer ID: 667761

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