INESC TEC is accepting applications to award 1 Scientific Research Grant - HfPT - CBER (AE2024-0180)
16 May 2024
Job Information
- Organisation/Company
INESC TEC- Research Field
Computer science » Computer systems
Engineering- Researcher Profile
First Stage Researcher (R1)- Country
Portugal- Application Deadline
29 May 2024 - 23:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
36- Offer Starting Date
17 Jun 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Reference Number
AE2024-0180- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2024-0180.pdf
CALL FOR GRANT APPLICATIONS (AE2024-0180)
INESC TEC is now accepting grant applications to award 1 Research Initiation Grant (BII) within the scope of the HfPT funded by IAPMEI with reference 41 Co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021 - 2026.
1. GRANT DESCRIPTION
Type of grant: Research Initiation Grant (BII)
General scientific area: COMPUTER SCIENCE,ENGINEERING
Scientific subarea: Computer Systems
Grant duration: 4 months, starting on 2024-06-17 , with the possibility of being renewed for a maximum term of one year.
Scientific advisor: Francesco Renna
Workplace: INESC TEC, Porto, Portugal
Maintenance stipend: 601,12, according to the table of monthly maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend.
INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document: "Payment of Tuition fees to grant holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN )
The grant holder will benefit from health insurance, supported by INESC TEC.
2. OBJECTIVES:
Collaborate with clinical partners in data collection Design and implement new distributed deep learning solutions for the problem Compare the performance of the proposed models with existing solutions Collaborate in writing articles
3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING:
Investigate and propose new privacy-preserving, distributed deep learning solutions for the joint analysis of heart sounds and electrocardiograms collected with a multimodal stethoscope.
4. REQUIRED PROFILE:
Admission requirements:
BSc in Informatics Engineering, Biomedical Engineering, Data Science, or related
The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.
Preference factors:
Training in signal processing publication experience
Minimum requirements:
Experience in python; experience in distributed deep learning
5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS:
Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred to in Article 12 of the Regulations for Grants of INESC TEC, while the second phase comprehends the Individual Interview (EI).
All factors are evaluated on a scale of 0 to 100, taking into account the applicants' merit, suitability and conformity with the preference factors.
The weight of the AC factors are as follows: Academic Qualifications (FA, 20), Scientific Publications (PC, 20), Experience (EX, 50) and Motivation Letter (CM, 10).
Candidates who score less than 50 points in the AC average will be considered excluded on absolute merit. The top five candidates approved on absolute merit will be qualified for the individual interview. The Final Grade (CF) is obtained by the weighted average of AC (40) and EI (60).
DISABILITY INCENTIVE
Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.
The Selection Jury is composed of the following members:
President of the Jury: Francesco Renna
Full member: Miguel Coimbra
Full member: Alexandre Carvalho
Substitute member:
Release of results and prior hearing: the results of the selection process, as well as the terms and procedures for prior hearing, will be released to the applicants by email, under the terms referred to in Article 13 of the Regulations for Studentships and Fellowships of INESC TEC.
6. FORMALISATION OF APPLICATIONS:
Application Documents:
1. Motivation letter;
2. Curriculum Vitae (must include the list of previous fellowships, their type, beginning and end dates, funding entities and host institutions);
3. Certificate or diploma degree dully recognised in Portugal;
- Documents proving the awarding of academic degrees and diplomas, or the according recognition - in cases of academic degrees or diplomas granted by a foreign higher education institution - can be dismissed in the application process, and replaced by the applicant's declaration of honour, with the verification of said condition taking place during the grant's hiring stage. The submission of the certificate is mandatory when signing the contract.
- Academic degrees or diplomas awarded by a foreign higher education institution require an authentication by a Portuguese higher education institution, and the corresponding registration on the DGES platform, in conformity with Decree-Law no. 66/2018, of August 16, and Ordinance no. 33/2019, of January 25. More information available on the website https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374
4. Proof of enrollment in a degree awarding study cycle or in a non degree awarding Higher Education program.
- The proof of enrollment may be presented just during the grant hiring stage.
5. Signed declaration stating not having benefited from any other research fellowship (Article 5, no. 5)
6. Documental evidence to support the country of residence, residence permit or other legally equivalent document, in cases where the applicant is a foreigner or non-resident in Portugal - valid until the beginning of the grant.
7. Other supporting documents relevant to the final assessment.
Failure to deliver the required documents within the 90-day period after the date of the notice of the conditional awarding of the grant implies its cancellation.
Application period: From 2024-05-16 to 2024-05-29
Submission of applications: the application will be formalised by submitting the form available in the Work With Us section of INESC TEC website.
7. BINDING LEGISLATION AND REGULATION
The hiring process shall comply with the current legislation regarding the Research Grant Holder Statute, approved by Law no. 40/2004 of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC and for https://files.dre.pt/2s/2019/12/241000000/0009100105.pdfFCT Grants Regulation in force.
For more information, please check the Regulations for Grants of INESC TEC and relevant annexes at www.inesctec.pt/bolsas
Requirements
- Research Field
- Computer science
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Engineering
- Education Level
- Bachelor Degree or equivalent
Specific Requirements
Academic qualifications: BSc in Informatics Engineering, Biomedical Engineering, Data Science, or related.
Minimum profile: Experience in python; experience in distributed deep learning.
Preference factors: Training in signal processing; publication experience.
- Research Field
- Computer science » Computer systems
- Years of Research Experience
- None
- Research Field
- Engineering
- Years of Research Experience
- None
Additional Information
Benefits
Maintenance stipend: 601,12 euros, according to the table of monthly
maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend.
Costs attributable to INESC TEC may include registration, enrolment or tuition fee stipend, either directly or through reimbursement, during the grant duration.
The grant holder will benefit from health insurance, supported by INESC TEC.
Selection process
5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS:
Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred to in Article 12 of the Regulations for Grants of INESC TEC, while the second phase comprehends the Individual Interview (EI).
All factors are evaluated on a scale of 0 to 100, taking into account the applicants' merit, suitability and conformity with the preference factors.
The weight of the AC factors are as follows: Academic Qualifications (FA, 20), Scientific Publications (PC, 20), Experience (EX, 50) and Motivation Letter (CM, 10).
Candidates who score less than 50 points in the AC average will be considered excluded on absolute merit. The top five candidates approved on absolute merit will be qualified for the individual interview. The Final Grade (CF) is obtained by the weighted average of AC (40) and EI (60).
DISABILITY INCENTIVE
Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.
The Selection Jury is composed of the following members:
President of the Jury: Francesco Renna
Full member: Miguel Coimbra
Full member: Alexandre Carvalho
Substitute member:
Release of results and prior hearing: the results of the selection process, as well as the terms and procedures for prior hearing, will be released to the applicants by email, under the terms referred to in Article 13 of the Regulations for Studentships and Fellowships of INESC TEC.
- Website for additional job details
https://www.inesctec.pt/en/opportunity/AE2024-0180
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- INESC TEC
- Country
- Portugal
- City
- Porto
- Postal Code
- 4200-465
- Street
- Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias
Where to apply
- Website
https://www.inesctec.pt/en/opportunity/AE2024-0180
Contact
- City
Porto- Website
http://www.inesctec.pt- Street
Campus da FEUP - Rua Dr. Roberto Frias- Postal Code
4200-465 Porto
STATUS: EXPIRED
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