Scientific Initiation Studentships - (Bl186/2021-Ist-Id)

Universities and Institutes of Portugal

Portugal

December 10, 2021

Description

  • Organisation/Company: Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento IST-ID
  • Research Field: Engineering
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 10/12/2021 00:00 - Europe/London
  • Location: Portugal › Lisboa
  • Reference Number: UIDP/50009/2020 - (BL186/2021-IST-ID)
  • Workplan: In recent years there has been a significant development in Deep Learning, which has been useful in a quite range of research areas. As there is an increasing number of algorithms proposed in this area, there is also a need to formalize a comparison between the methods that are proposed in given context of application. Towards this goal, it is necessary to design and develop a set of unified tools so that this comparison can be made. Although this type of work already exists in several areas of computer vision, the 3D Point Cloud Registration does not yet have this set of tools, that allows for a fair comparison between algorithms, despite the fact that this area is that, among several others, has been developed more in computer vision, particularly in the last two years.

    This scholarship has its main objective to create a benchmarking platform for 3D Point Cloud Registration. The construction of this platform requires a pipeline that mainly includes (i) the creation of correspondences between 3D points and the evaluation of state-of-the-art methods that propose to obtain these correspondences, and (ii) the registration between two Point-Clouds by state-of-the-art methods. Another important aspect will be the unification of the existing datasets so that they can be used directly in any part of the pipeline, without the need for pre-processing.

    The pipeline will be publicized and placed on open-source platforms for community use. This scholarship will be supported by two experienced Professors/Researchers in the field and a PhD student.

    Python knowledge is desired, as well as attendance in the Computer Vision and Machine Learning (non-exclusive) disciplines.

    Exemples:

    Pytorch 3D Library:

    https: // github.com/nicolas-chaulet/torch-points3d

    Duration: The research fellowship(s) will have the duration of 3 months. It's expected to begin in December/2021 and may be eventually renewed up to the maximum of 12 months.

    It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https: // ist- id.pt/concursos/bolsas/ ); ii) Curriculum Vitae; iii) academic degree certificate, where applicable; iv) proof of enrollment at an academic degree course or at a course that does not award an academic degree; v) motivation letter; vi) declaration on honour that the applicant does not exceed with this contract, including the possible renovations, an accumulated period of one year in this type of studentship, continuously or with interruptions, and has not held any other fellowship directly or indirectly funded by FCT.

    Applications must be submitted to the email jan@isr.tecnico.ulisboa.pt

    Benefits

    Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https:// www. fct.pt/apoios/bolsas/valores), the amount of the monthly maintenance allowance is € 446,12, being the payment method an option of the Fellow by Wire Transfer/Check.

    Eligibility criteria

    Admission Requirements:

  • To be enrolled at a professional higher technical course, at a bachelor degree, at an integrated master or master degree, or to have a bachelor degree and be enrolled at a course that does not award an academic degree and it is integrated in the educational project of a higher education institution, performed in association or cooperation with one or several R&D units;
  • not to exceed with this contract, including the possible renovations, an accumulated period of one year in this type of studentship, continuously or with interruptions;
  • not to have held any other fellowship directly or indirectly funded by FCT.
  • Selection process

    Selection methods: The selection methods will be the following: Curriculum evaluation, individual interview (specifying its conditions), knowledge tests, others), with the respective weight of 60% and 40%, respectively. The jury will select the first five candidates for an interview, based on the curricular assessment.

    Composition of the selection Jury: Jacinto C. Nascimento, Pedro dos Santos Miraldo e João Paulo Costeira.

    Announcement/ notification of the results: The final evaluation results will be communicated to all applicants by email.

    Deadlines and procedures of complaint and appeal. A complaint may be lodged from the final decision within 15 working days, or an appeal to the Executive Board of IST-ID within 30 working days, both counted from the respective notification

    Web site for additional job details

    https: // ist-id.pt/concursos/bolsas/

    Offer Requirements
  • REQUIRED EDUCATION LEVEL
  • Engineering: Undergraduate

    Skills/Qualifications

    Admission Requirements:

  • To be enrolled at a professional higher technical course, at a bachelor degree, at an integrated master or master degree, or to have a bachelor degree and be enrolled at a course that does not award an academic degree and it is integrated in the educational project of a higher education institution, performed in association or cooperation with one or several R&D units;
  • not to exceed with this contract, including the possible renovations, an accumulated period of one year in this type of studentship, continuously or with interruptions;
  • not to have held any other fellowship directly or indirectly funded by FCT.
  • Contact Information
  • Organisation/Company: Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento IST-ID
  • Department: DRH
  • Organisation Type: Private with public mission
  • Website: https:// ist-id.pt/
  • E-Mail: magda.novais@tecnico.ulisboa.pt
  • Country: Portugal
  • City: Lisbon
  • Postal Code: 1049-001 Lisboa
  • Street: Av. Rovisco Pais
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