15/09/2022

one (1) Research Fellowship for MSc. - Reference: ML@GridEdge-BIM


  • ORGANISATION/COMPANY
    Institute of Systems and Robotics - Faculty of Sciences and Technology of the University of Coimbra
  • RESEARCH FIELD
    Computer science
    EngineeringBiomedical engineering
    EngineeringElectrical engineering
    EngineeringElectronic engineering
    Mathematics
    Physics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    29/09/2022 23:00 - Europe/London
  • LOCATION
    Portugal › Coimbra
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    15/10/2022
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020
  • REFERENCE NUMBER
    ML@GridEdge-BIM

OFFER DESCRIPTION

 

CALL FOR ONE RESEARCH GRANT UNDER THE ML@GridEdge RESEARCH PROJECT

Grant: Research Fellowship for MSc

Reference: ML@GridEdge-BIM

Application period: 16th September 2022 to 29th September 2022

The Institute of Systems and Robotics of the University of Coimbra (ISR-UC) opens a call for applications for one (1) Research Fellowship for MSc. in the framework of the R&D project Distributed Machine Learning Solutions for Coordinating Distributed Energy Resources at the Edge of the Power Grid, with the reference UTAP-EXPL/CA/0065/2021 and the title ML@GridEdge, financed by FCT through the program University of Texas at Austin Portugal, in the following conditions:

Scientific area: Electrotechnical and Computer Engineering, Informatics Engineering, Physics Engineering, Physics, Mathematics, Biomedical Engineering, or others.

Admission requirements: Students enrolled in a PhD. program in Electrotechnical and Computer Engineering, or in related areas, or alternatively, An MSc degree in Electrotechnical and Computer Engineering, or in related areas enrolled in a non-degree course (curso não conferente de grau) in accordance with article 6, paragraphs 1 and 2 of the FCT Scholarship Regulation. The non-degree courses must be related with the Research Grant’s type of activity.

Candidates must have good knowledge of Python programming and knowledge of Machine Learning techniques, namely in the implementation of federated learning in power systems.

“Courses not conferring an academic degree” must be related to the research fellowship’s activity type. “Courses not conferring an academic degree” are the courses referred to in paragraph e) of number 3 of article 4 of Decree-Law no. 74/2006, of 24 March, in the current wording, provided that they are developed in association or cooperation between the higher education institution and one or more R&D units, in accordance with the provisions of paragraph e) of article 3 of the Regulation for Research Fellowships of the Fundação para a Ciência e a Tecnologia, I.P.

Although the recipients must be enrolled in a cycle of studies leading to the attribution of an academic degree or in a course not conferring an academic degree, at the time of application it is not necessary for the candidate to have made such an enrollment, and proof of enrollment must be presented until the fellowship is contractualized. Candidates are only required to meet the requirements to enroll in the training offer. If there are candidates already enrolled (including attending a course), they compete on an equal footing with those who are not enrolled.

Work Plan: Research activities will be carried out to design a federated learning framework to ensure the prediction of electricity consumption and generation at building level in the context of transactive energy systems. The objective is to use the data available in each building to increase the reliability of predictions in all buildings in the same community, while ensuring data privacy concerns for each building. It is also intended to optimize the use of flexibility resources based on forecasts of consumption and generation. This project will be developed in collaboration with the University of Texas at Austin.

Regime: The attribution of the fellowship does not generate or entitle a relation of a legal-labour nature, and the fellowship is undertaken in an exclusive dedication regime. The fellowship holder is awarded the Fellowship Statute of the ISR-UC, in its current wording, according to the Research Fellowship Holder Statute, and according to the Regulation for Research Fellowships of the Fundação para a Ciência e a Tecnologia, I.P., both in their current wording.

Location: Instituto de Sistemas e Robótica - Universidade de Coimbra (ISR-UC)

Duration: 3 months.

Renewal: Possibly renewable, by agreement between both parties, not being allowed to exceed the project’s deadline.

Scientific orientation: Professor Doutor Pedro Manuel Soares Moura.

Financial conditions: The amount of the fellowship is € 1.144.64 corresponding to the monthly compensation stipulated in the FCT table (https://www.fct.pt/apoios/bolsas/valores.phtml.en), plus social security (Seguro Social Voluntário, first level contributions) and personal accidents insurance.

Selection methods: The selection methods to be used will be the following: curricular evaluation, with a valuation of 50% for academic qualifications and 50% for the degree of satisfaction of the requirements relating to knowledge and experience for the project. If the Jury deems it necessary, an interview may be carried out with the candidates placed in the first three positions according to the ranking resulting from the above criteria. In this case, the final score will include the curricular assessment (as described above), with a valuation of 80%, and the interview, with a valuation of 20%. If none of the candidates has the appropriate profile (overall assessment below 60%), the scholarship will not be awarded.

Jury responsible for selection: President Pedro Manuel Soares Moura; Jury Members: Jérôme Amaro Pires Mendes, João Luís Ruivo Carvalho Paulo.

Formalization of application: Applications must be formalized by sending the following elements:

(1) Letter of motivation;

(2) Curriculum Vitae (CV); The CV should include: (i) Contact; (ii) Academic qualifications, including a complete list of the concluded courses/subjects/curricular units and their classifications); (iii) List of scientific publications; (iv) Projects in which he/she has participated; (v) Other relevant information;

(3) Copy of the Certificate of Qualifications with the final average.

(4) Proof of enrollment in a doctoral/PhD course, or in a course not conferring an academic degree integrated in the educational project of a Portuguese higher education institution, or a declaration on the honor by the candidate that he/she will enroll in the course until the date that eventually may be defined by ISR-UC (date equal or previous to the date of contract signature, a date that may exist in case a fellowship is granted);

(5) Declaration on the honor of the candidate(s) with the indication of the fellowship(s) of the typology to which the contest was held and the respective duration(s).

Applicants with academic degrees obtained abroad will be required to present a Certificate of Recognition in accordance with applicable law. This document is mandatory only in the contractualization phase.

Applications submission: Applications must be sent by e-mail, with reference "ML@GridEdge-BIM" in the subject, to pmoura@uc.pt.

Submission of applications: Between 16th September 2022 and 29th September 2022.

Form of publicity / notification of the results: The results of the evaluation will be publicized, through a list ordered by the final grade obtained, with the candidates being notified by email. After the dissemination of the results through e-mail, the candidates must consider themselves, from the outset, notified to, if they wish, express themselves in a prior hearing within a maximum period of 10 working days after that date. At the end of this period, the selected candidate must consider himself summoned to start the fellowship.

 

More Information

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Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Instituto de Sistemas e Robótica
Portugal
Coimbra
Coimbra
3030-790
Dep. Engª Eletrotécnica e Computador, Rua Silvio Lima Polo 2 Univ. Coimbra

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EURAXESS offer ID: 837225

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