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EURAXESS

TWO research grants for candidates with a BSc degree, with reference numbers BI|2023/363 and BI|2023/364, are now available under the scope of project MOOD – refª 874850, funded by the EUROPEAN COMMISSION

INESC ID
23/01/2023

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?
H2020
Reference Number
Project MOOD – refª 874850 - BI|2023/363 and BI|2023/364
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Public notice for research grant

Project MOOD – refª 874850

BI|2023/363 and BI|2023/364

 

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

TWOresearch grants for candidates with a BSc degree, with reference numbers BI|2023/363 and BI|2023/364, are now available under the scope of project MOOD – refª 874850, funded by theeuropean commission and under the following conditions:

2 | DURATION

Eight (8) months, starting in February 2023

-      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://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 is of 875,98€ in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://former.fct.pt/apoios/bolsas/docs/Tabela_de_Valores_SMM_2022.pdf    and shall be rendered through a monthly bank transfer to an account held by the grantee.

5 | OBJECTIVES/WORKPLAN

MOnitoring Outbreak events for Disease surveillance in a data science context (MOOD) explores the extraction, analysis, and visualization of health-related data (including also environmental data) to enhance the utility of event-based epidemiological surveillance. INESC-ID is hiring two researchers to work on work-package 3 within the project, specifically targeting tasks related to:

 

  1. Natural language processing for the extraction of information related to disease outbreaks from online media news. Specific tasks to be researched within this context include (a) key-phrase extraction, and (b) text geo-coding/geo-parsing.
  2. Deep learning methods for time series modelling and forecasting, envisioning the application of recurrent neural networks and/or state-space models to time series of disease counts.

6 | SCIENTIFIC SUPERVISION

The activities will be supervised by Bruno Emanuel da Graça Martins, researcher at INESC-ID and Associate Professor at Instituto Superior Técnico.

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

7 | ADMISSION REQUIREMENTS

The candidates should hold a BSc in Computer Science and Engineering, Electrical Engineering, Data Science, Biomedical Engineering, or related areas.

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

  1. a MSc 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 strong knowledge and experience in machine learning and/or natural language processing.

8 | EVALUATION CRITERIA AND COMMITEE

The selection will be according to the following criteria:

  1. Academic record of the candidate (45%)
  2. Publications (20%),
  3. Research Experience (35%)

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

 

Jury

Name

Professional Status

Institutions

President

Bruno Emanuel da Graça Martins

Researcher / Associate Professor

INESC ID / Tecnico|ULisboa

Member

Mário Jorge Gaspar da Silva

Researcher / Full Professor

INESC ID / Tecnico|ULisboa

Member

Arlindo Manuel Limede de Oliveira

Researcher / Full Professor

INESC ID / Tecnico|ULisboa

Substitute member

David Manuel Martins de Matos

Researcher / Associate Professor

INESC ID / Tecnico|ULisboa

Substitute member

João Miguel da Costa Magalhães

Associate Professor

FCT/UNL

 

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

24-01-2023

 

06-02-2023

 

 

Requirements

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

MOnitoring Outbreak events for Disease surveillance in a data science context (MOOD) explores the extraction, analysis, and visualization of health-related data (including also environmental data) to enhance the utility of event-based epidemiological surveillance. INESC-ID is hiring two researchers to work on work-package 3 within the project, specifically targeting tasks related to:

 

  1. Natural language processing for the extraction of information related to disease outbreaks from online media news. Specific tasks to be researched within this context include (a) key-phrase extraction, and (b) text geo-coding/geo-parsing.
  2. Deep learning methods for time series modelling and forecasting, envisioning the application of recurrent neural networks and/or state-space models to time series of disease counts.
Specific Requirements

The candidates should hold a BSc in Computer Science and Engineering, Electrical Engineering, Data Science, Biomedical Engineering, or related areas.

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

  1. a MSc 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

Additional Information

Benefits

The monthly amount of the grant is of 875,98€ in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force https://former.fct.pt/apoios/bolsas/docs/Tabela_de_Valores_SMM_2022.pdf    and shall be rendered through a monthly bank transfer to an account held by the grantee.

Eligibility criteria

The candidates should hold a BSc in Computer Science and Engineering, Electrical Engineering, Data Science, Biomedical Engineering, or related areas.

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

  1. a MSc 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

Selection process

The selection will be according to the following criteria:

  1. Academic record of the candidate (45%)
  2. Publications (20%),
  3. Research Experience (35%)

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

Additional comments

Preferential factors:

Preference will be given to candidates who have strong knowledge and experience in machine learning and/or natural language processing.

Work Location(s)

Number of offers available
1
Company/Institute
INESC ID
Country
Portugal
Geofield

Where to apply

E-mail
rh@inesc-id.pt

Contact

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