ONE (1) research grant for candidates with Master degree with reference number BI|2024/522 is now available under the scope of project Center for Responsible AI – refª C628696807-00454142
3 Apr 2024
Job Information
- Organisation/Company
INESC ID- Research Field
Engineering » Computer engineering- Researcher Profile
First Stage Researcher (R1)- Country
Portugal- Application Deadline
17 Apr 2024 - 23:59 (Europe/Lisbon)- Type of Contract
Other- Job Status
Other- Is the job funded through the EU Research Framework Programme?
European Union / Next Generation EU- Reference Number
Center for Resp AI – ref.C628696807-00454142-BI|2024/522- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Public notice for research grant
Project Center for Responsible AI – refª C628696807-00454142
BI|2024/522
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 Master degree with reference number BI|2024/522 is now available under the scope of project Center for Responsible AI – refª C628696807-00454142 , funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and by european funds Next Generation EU, under the following conditions:
2 | DURATION
SIX (6) 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:
https://dre.pt/web/guest/legislacao-consolidada/-/lc/124281176/201912061112/73740605/diploma/indice?lcq=estatuto+do+bolseiro ,
https://www.inesc-id.pt/scholarship-regulations/
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
The successful applicant will participate in the research and development activities of the REST-FL project (Research on Key Technologies for Epidemic Spatio-Temporal Modeling using Cross-Country Federated Learning), with an emphasis on the development and deployment of geostatistical models for pandemic modeling. This work will be integrated in a team of 6-8 people, who will create and deploy models for the prediction of epidemic diseases in Portugal, Macau and mainland China.
6 | SCIENTIFIC SUPERVISION
The activity will be supervised by Arlindo Manuel Limede de Oliveira and Ana Teresa Correia de Freitas, both are researcher at INESC-ID and Full Professor 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 degree in Computer Science, Electrical Engineering or related areas.
By the grant start date, the candidate must be enrolled in
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
Preferential factors:
Preference will be given to candidates who have experience in the development and test of deep learning models for sequential data analysis, and the following languages and environments: Python, PyTorch, Git, CUDA.
8 | EVALUATION CRITERIA AND COMMITTEE
The selection will be according to the following 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 | Arlindo Manuel Limede de Oliveira | Researcher / Full Professor | INESC ID | Tecnico |
Member | Ana Teresa Correia de Freitas | Researcher / Full Professor | INESC ID | Tecnico |
Member | Leonardo Azevedo | Researcher / Associate Professor | CERENA | Tecnico |
Substitute member | Bruno Emanuel da Graça Martins | Researcher / Associate Professor | INESC ID | Tecnico |
Substitute member | Ruxandra Barbulescu | Researcher | INESC ID | Tecnico |
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
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10.1 | Single copy of official academic degree certificate in the required education level |
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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. |
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| 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. |
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For more information about diploma recognition: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition
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10.2 | Detailed list of grades (pdf form); |
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10.3 | Proof of enrolment required on 7 a) or 7 b) (pdf form); |
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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) |
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10.4 | Detailed curriculum vitae (pdf form); |
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10.5 | Motivation letter explaining the interest in the position (pdf form); |
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11 | Application Dates
From |
| To |
03-04-2024 |
| 17-04-2024 |
Requirements
- Research Field
- Engineering » Computer engineering
- Education Level
- Master Degree or equivalent
Skills/Qualifications
The successful applicant will participate in the research and development activities of the REST-FL project (Research on Key Technologies for Epidemic Spatio-Temporal Modeling using Cross-Country Federated Learning), with an emphasis on the development and deployment of geostatistical models for pandemic modeling. This work will be integrated in a team of 6-8 people, who will create and deploy models for the prediction of epidemic diseases in Portugal, Macau and mainland China.
Specific Requirements
The candidates should have a MSc degree in Computer Science, Electrical Engineering or related areas.
By the grant start date, the candidate must be enrolled in
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
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 degree in Computer Science, Electrical Engineering or related areas.
By the grant start date, the candidate must be enrolled in
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
or
https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
Selection process
The selection will be according to the following criteria:
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 experience in the development and test of deep learning models for sequential data analysis, and the following languages and environments: Python, PyTorch, Git, CUDA.
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
[email protected]
Contact
- State/Province
Lisboa- City
Lisboa- Website
http://www.inesc-id.pt- Street
Rua Alves Redol, 9- Postal Code
1000-029
[email protected]
STATUS: EXPIRED
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