Open Positions

http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=110064

http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=110059

http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=110067

Job summary: 
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) formulate the skeletal tracking algorithm under a machine learning approach; and (2) validate the algorithm using new motion caption data. Additional tasks include performing Requirement Analysis within clinical scenarios and conducting user studies will also be demanded.
Job description:
Research Grant
BI-Doutor BPD
 
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 - Doutor BPD is now available in project STREACKER - UTAP-EXPL/CA/0065/2017 funded by FCT/MCTES through national funds, under the following conditions:
 
Duration
 
6 months from March 1st, 2019. The grant may be renewed within the period of the project, not exceeding the maximum period set by FCT for such grants.
 
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 1495 euros 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
 
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) formulate the skeletal tracking algorithm under a machine learning approach; and (2) validate the algorithm using new motion caption data. 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 PhD in Computer Science, Electrical Engineering, Biomedical Engineering or related areas. Working experience with Machine Learning is mandatory. Preference will be given to candidates that have a strong Machine Learning background. The ideal candidate should have working knowledge of Biomechanics, experience with object-oriented programming and skilled in TensorFlow or other Machine/Deep Learning libraries.
 
Evaluation criteria
 
Academic record of the candidate (30%) and interest for the following areas of research Machine Learning (50%), Biomechanics (10%), and Human-Computer Interaction (10%). 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 20/02/2019 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.
Application Dates
From 01/02/2019 to 19/02/2019
Documents to be submitted
all applications should clearly state the reference of the project
1.        detailed curriculum vitae
2.        motivation letter
3.        copy of official academic degree certificate 
including 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
 
For further information and proposal submission, please contact
 
Daniel Simões Lopes, INESC-ID Lisboa, IST Taguspark, Room 2N9.19
Avenida Professor Cavaco Silva, 2744-016 Porto Salvo, Portugal,
daniel.lopes@inesc-id.pt

Job: 
1 research grant BI-Mestre Studentship is now available in project STREACKER - UTAP-EXPL/CA/0065/2017 funded by FCT/MCTES through national funds 
Job/Fellowship Reference: 1 research grant BI-Mestre Studentship is now available in project STREACKER - UTAP-EXPL/CA/0065/2017 funded by FCT/MCTES through national funds
Main research field: Engineering 
Sub research field:
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
 
6 months from March 1st, 2019. The grant may be renewed within the period of the project, not exceeding the maximum period set by FCT for such grants.
 
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 euros 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
 
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. Working experience with Machine Learning is mandatory. Preference will be given to candidates that have a strong Machine Learning background. The ideal candidate should have working knowledge of Biomechanics, experience with object-oriented programming and skilled in TensorFlow or other Machine/Deep Learning libraries.
 
Evaluation criteria
 
Interest for the following areas of research Machine Learning (50%), Biomechanics (30%), and Human-Computer Interaction (20%). 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 20/02/2019 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.
Application Dates
From 01/02/2019 to 19/02/2019
Documents to be submitted
all applications should clearly state the reference of the project
1.        detailed curriculum vitae
2.        motivation letter
3.        copy of official academic degree certificate 
including 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
 
For further information and proposal submission, please contact
 
Daniel Simões Lopes, INESC-ID Lisboa, IST Taguspark, Room 2N9.19
Avenida Professor Cavaco Silva, 2744-016 Porto Salvo, Portugal,
daniel.lopes@inesc-id.pt
 

Job summary: 
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) develop the project website; and (2) build the human motion data base. The awardee will also contribute to the design of interfaces and interaction techniques. Additional tasks include performing Requirement Analysis within clinical scenarios and conducting user studies will also be demanded.
Job description:
Research Grant
BI-Licenciado
 
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-Licenciado is now available in project STREACKER - UTAP-EXPL/CA/0065/2017 funded by FCT/MCTES through national funds, under the following conditions:
 
Duration
 
6 months from March 1st, 2019. The 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 (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 745 euros 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
 
Within project “Skeletal TRacking Enhanced with Anatomically Correct Kinematics for Exergames and Rehabilitation (STREACKER)” the awardee will perform two main tasks: (1) develop the project website; and (2) build the human motion data base. The awardee will also contribute to the design of interfaces and interaction techniques. 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 BSc in Computer Science or related areas. Working experience with web technologies is mandatory. Preference will be given to candidates that have a strong Human-Computer Interaction background. The ideal candidate should have working knowledge of Computer Graphics, experience with object-oriented programming and skilled in Three.js.
 
Evaluation criteria
 
Interest for the following areas of research Human-Computer Interaction (20%) and Computer Graphics (30%). Technical savviness on web technologies and Web3D (50%). 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 20/02/2019 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.
Application Dates
From 01/02/2019 to 19/02/2019
Documents to be submitted
all applications should clearly state the reference of the project
1.        detailed curriculum vitae
2.        motivation letter
3.        copy of official academic degree certificate 
including 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
 
For further information and proposal submission, please contact
 
Daniel Simões Lopes, INESC-ID Lisboa, IST Taguspark, Room 2N9.19
Avenida Professor Cavaco Silva, 2744-016 Porto Salvo, Portugal,
daniel.lopes@inesc-id.pt