One research grant is available for participation in SARRROCA project starting on the 8th of July, at
INESC-ID in Lisbon, Portugal. 
Candidates should be familiar with fault tolerant system design with FPGAs (Intel and Xilinx) and LEON3
processor. Candidates must have the MSc title awarded, and degree or diploma recognition if from foreign higher education institutions.
More details here: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=115050
 Job:
One research grant(s) Bolsa de Investigac¸a~o - Mestre is now available in project SARRROCA, “Synthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture” - ref: PTDC/EEI-HAC/31819/2017 funded by FCT/MCTES through national funds
Job/Fellowship Reference: One research grant(s) Bolsa de Investigac¸a~o - Mestre is now available in project SARRROCA, “Synthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture” - ref: PTDC/EEI-HAC/31819/2017 funded by FCT/MCTES through national funds
Main research field: Engineering
Sub research field:
Job summary:
This research work aims to development fault-tolerant SoC systems for SAR imaging. The research work will involve designing novel hardware architectures of optimization SAR image formation algorithms such as backprojection, and study and implementation of adequate fault-tolerant mechanisms. Expected outputs of this work are the implementation of prototypes for real-time fault-tolerant SAR imaging architectures.
Job description:
Research Grant
(Bolsa de Investigac¸a~o - Mestre)
5_2019_31819_BM
(SARRROCA, “Synthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture” - ref: PTDC/EEI-HAC/31819/2017)
The Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID) Portugal is one of the largest and most dynamic research institutes in Portugal in the areas of Computing Systems and Communication Networks, Embedded Electronic Systems, Information and Decision Support Systems, Interactive Intelligent Systems and Energy Systems.
One research grant(s) Bolsa de Investigac¸a~o - Mestre is now available in project SARRROCA, “Synthetic Aperture Radar Robust Reconfigurable Optimized Computing Architecture” - ref: PTDC/EEI-HAC/31819/2017 funded by FCT/MCTES through national funds, under the following conditions:
Duration
Ten months from 8 of July 2019. The grant may be renewed within the period of the project, not exceeding the maximum period set by FCT for such grants. Renewal is subject to suitable performance
Legislation
A fellowship contract will be celebrated according to the Regulations for Research Grants of the Foundation for Science and Technology in force the INESC ID Grant regulations approved by FCT, and to the Status of Scientific Research Fellow (Lei nº 40/2004 de 18 de Agosto, and its successive amendments).
Monthly amount
The monthly amount of the grant 989,70€ 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/regulamentos.phtml.pt) and (http://www.fct.pt/apoios/bolsas/valores) and INESC-ID Lisboa Grant Regulations approved by FCT, and shall be rendered through a monthly bank transfer to an account held by the grantee
Objectives / summary
This research work aims to development fault-tolerant SoC systems for SAR imaging. The research work will involve designing novel hardware architectures of optimization SAR image formation algorithms such as backprojection, and study and implementation of adequate fault-tolerant mechanisms. Expected outputs of this work are the implementation of prototypes for real-time fault-tolerant SAR imaging architectures.
Scientific supervision
The activity will be supervised by Rui Duarte, researcher at INESC-ID Lisboa. The grantee will be integrated at INESC-ID in the Electronic System Design and Automation (ESDA) group, https://www.inesc-id.pt/action-line/EES/.

Job summary: 
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) testing and training the machine learning algorithm given the acquired data sets; and (2) contribute to implement efficient for the skeletal tracking algorithm. The awardee will also contribute to validate the machine learning algorithm. Additional tasks include performing Requirement Analysis within clinical scenarios and conducting user studies will also be demanded.
Job description:
Research Grant
BI-Mestre Studentship
STREACKER - UTAP-EXPL/CA/0065/2017
The Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID) Portugal is one of the largest and most dynamic research institutes in Portugal in the areas of Computing Systems and Communication Networks, Embedded Electronic Systems, Information and Decision Support Systems, Interactive Intelligent Systems and Energy Systems.
1 research grant BI-Mestre Studentship is now available in project STREACKER - UTAP-EXPL/CA/0065/2017 funded by FCT/MCTES through national funds, under the following conditions:
Duration
4 months from May 24, 2019. This grant is not renewable.
Legislation
A fellowship contract will be celebrated according to the Regulations for Research Grants of the Foundation for Science and Technology in force the INESC ID Grant regulations approved by FCT, and to the Status of Scientific Research Fellow (Lei nº 40/2004 de 18 de Agosto, and its successive amendments).
Monthly amount
The monthly amount of the grant €989,70 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/regulamentos.phtml.pt) and (http://www.fct.pt/apoios/bolsas/valores) and INESC-ID Lisboa Grant Regulations approved by FCT, and shall be rendered through a monthly bank transfer to an account held by the grantee
Objectives / summary
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) testing and training the machine learning algorithm given the acquired data sets; and (2) contribute to implement efficient for the skeletal tracking algorithm. The awardee will also contribute to validate the machine learning algorithm. Additional tasks include performing Requirement Analysis within clinical scenarios and conducting user studies will also be demanded.
Scientific supervision
The activity will be supervised by Daniel Simões Lopes, Assistant Professor at Instituto Superior Técnico, Universidade de Lisboa, and head of Biomedical Research at VIMMI/INESC-ID. The grantee will be integrated at INESC-ID Lisboa, in the Visualization and Intelligent Multimodal Interfaces Group (https://www.inesc-id.pt/group/II07) and will develop his work at the JLF Lab in the Taguspark Campus.
Required education Level and research experience
The candidate should hold a MSc in Computer Science, Electrical Engineering, Biomedical Engineering or related areas. Language skills - proficiency in English.
Evaluation criteria
Academic record of the candidate (25%) and interest for the following areas of research Machine Learning (10%), Biomechanics (20%), and Human-Computer Interaction (10%). Experience in scientific writing is mandatory (35%). The Juri will interview the top 3 candidates with higher classification. In order to perform a more objective evaluation of some of the criteria, the interview will count for 50% of the evaluation of each criteria above.
The jury will convene in May 23rd and is composed of
Name /Professional Status / Institution
Daniel Simões Lopes / Assistant Professor/Instituto Superior Técnico
Hugo Miguel Aleixo Albuquerque Nicolau / Assistant Professor/Instituto Superior Técnico
Joaquim Armando Pires Jorge / Full Professor/Instituto Superior Técnico
Results
The final evaluation results will be publicized through an ordered list, and the candidates will be notified of the Jury decision by email.
Formalisation of applications
Applications are formalised by sending an email to daniel.lopes@inesc-id.pt with the documents stated bellow.  The application email should clearly state the reference of the project.
detailed curriculum vitae
motivation letter
single copy of official academic degree certificate with detailed list of grades, required in education level.
name of two personal references
*For candidates with degrees granted by foreign higher education institutions it is mandatory to have a degree or diploma recognition.  For more information press here.
 
Application Dates
 From May 7th, 2019 to May 21st, 2019

1 research grant BI-Mestre Studentship is now available in project Augmenting Rehabilitation Centres with Context-Aware Digital Environments (ARCADE - PTDC/CCI-COM/30274/2017) funded by FCT/MCTES through national funds, and, where appropriate, POCI - Programa Operacional Competitividade e Internacionalização e PORLisboa – Programa Operacional Regional de Lisboa, under the following conditions:
Duration 
12 months from April 1st, 2019. The grant may be renewed within the period of the project, not exceeding the maximum period set by FCT for such grants. Renewal is subject to suitable performance
Legislation
A fellowship contract will be celebrated according to the “Regulations for Research Grants of the Foundation for Science and Technology” in force (https://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2018.pdf)  the INESC ID Grant regulations approved by FCT, and to the Status of Scientific Research Fellow (Lei nº 40/2004 de 18 de Agosto, and its successive amendments).
Monthly amount 
The monthly amount of the grant 980€ is in accordance with the values stipulated in the “Regulations for Research Grants of the Foundation for Science and Technology” in force (http://www.fct.pt/apoios/bolsas/docs/RegulamentoBolsasFCT2018.pdf) (http://www.fct.pt/apoios/bolsas/valores) and INESC-ID Lisboa Grant Regulations approved by FCT, and shall be rendered through a monthly bank transfer to an account held by the grantee
Objectives / summary
The awardee will perform two main tasks: (1) Develop interactive applications for stroke patients that leverage data from inertial sensors placed on rehabilitation objects, and (2) Develop tools that support physiotherapists' activities in clinical rehabilitation settings. Both tasks will follow user-centered design methodologies. We will use inertial sensors and follow an approach of “tape on and forget” that can be quickly and ubiquitously installed in clinical rehabilitation settings to augment existing “dumb” equipment.
Scientific supervision
The activity will be supervised by Prof. Hugo Miguel Aleixo Albuquerque Nicolau, Principal Investigator, Assistant Professor at Instituto Superior Técnico, researcher at INESC-ID Lisboa. The grantee will be integrated at INESC-ID Taguspark in the Visualization and Intelligent Multimodal Interfaces Group (https://inesc-id.pt/group/II07/).
Required education Level and research experience
The candidate should have an MSc in Computer Science, Biomedical Engineering, Electrical Engineering or related areas. Preference will be given to candidates that have a strong Human-Computer Interaction background. The ideal candidate should have working knowledge of User-Centred Design methodologies, Computer Graphics, experience with object-oriented programming and skilled in Unity3D.
Language skills - proficiency in English
Evaluation criteria 
The academic record of the candidate and interest for the following areas of research Human-Computer Interaction (40%), Interactive Rehabilitation Applications (40%), and Inertial Sensors (20%). The Jury will interview the top 3 candidates with higher classification.  In order to perform a more objective evaluation of some of the criteria, the interview will count for 50% of the evaluation of each criterion above.
The jury will convene on March 18th, 2019 and is composed of:
Hugo Miguel Aleixo Albuquerque Nicolau,	Assistant Professor, Instituto Superior Técnico
Daniel Simões Lopes, Assistant Professor, Instituto Superior Técnico
Joaquim Armando Pires Jorge, Full Professor, Instituto Superior Técnico
Results
The final evaluation results will be publicized through an ordered list, and the candidates will be notified of the Jury decision by email.
Documents to be submitted 
all applications should clearly state the reference of the project
1.	detailed curriculum vitae
2.	motivation letter
3.	copy of the official academic degree certificate, including a detailed list of grades **
4.	name of two personal references
**For candidates with degrees granted by foreign higher education institutions it is mandatory to have equivalence/recognition of the degree.
For more information please follow the links bellow
https://www.dges.gov.pt/pt/pagina/equivalencia-reconhecimento
https://www.ulisboa.pt/info/reconhecimento-de-habilitacoes-estrangeiras
Application Dates
From February 15th to March 15th, 2019
For further information and proposal submission, please contact
Hugo Nicolau, INESC-ID Lisboa, IST Taguspark, Room 2N9.21
Avenida Professor Cavaco Silva, 2744-016 Porto Salvo, Portugal, hman@inesc-id.pt