12/11/2021

INESC TEC is accepting applications for 1 job(s) in the Power Systems (AE2021-0243)


  • ORGANISATION/COMPANY
    INESC TEC
  • RESEARCH FIELD
    Computer science
    EngineeringElectrical engineering
    Mathematics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    01/01/2022 23:59 - Europe/Brussels
  • LOCATION
    Portugal › Porto
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    36
  • OFFER STARTING DATE
    15/01/2022
  • REFERENCE NUMBER
    AE2021-0243

OFFER DESCRIPTION

CALL FOR APPLICATIONS: RESEARCHER
Job/position/grant:

Job reference: AE2021-0243 (Plurianual_LA-CPES)
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Job/position/grant: RESEARCHER
City: Porto
Research field: Main: COMPUTER SCIENCE,ENGINEERING,MATHEMATICS
Sub: Electrical engineering

Job summary:

INESC TEC is accepting applications for 1 Investigador job in the Power Systems
Financiamento Laboratório Associado
Scientific Advisor: Gil Silva Sampaio
Duration of the contract: from 2022-01-15 to 2023-01-14
Location: INESC TEC, Porto, Portugal

Job description:

Work Area: Power Systems
Project overview: The candidate selected for this position will be involved in scientific and technological innovation initiatives in the field of LV grid monitoring and control. Furthermore, given the interest of several entities (e.g., LV grid operators, software vendors for electric grid management) in evaluating the potential of these algorithms, it will be necessary to participate in software integration tasks in existing systems via virtualization methodologies (e.g., Docker), and to implement communication interfaces through web services (e.g., Rest API).
Objectives: Low voltage (LV) grids have increasing monitoring and control needs in order to meet the challenges created by the integration of photovoltaic microgeneration, the presence of electric vehicles, or approaches that increase the participation of the consumer himself in managing the electricity grid, among others. However, the LV grid does not have a monitoring infrastructure that allows real-time observability of assets. In addition, the topological and electrical characterization of LV networks is typically incorrect, or even non-existent, making it impossible to apply common analysis and resource management techniques.;
Given these challenges, it becomes relevant to explore data, namely those massively collected by smart meters, to develop techniques and methodologies for LV network monitoring and control.;

Academic Qualifications: Bachelor or Master degree in electrical and computer engineering, applied mathematics or computer science or informatics or similar.;
;
;

Minimum profile required: ('Experience coding in C++ or Python.',)
Preference factors: Experience in artificial intelligence and data analytics, particularly if applied to power systems. Fluency in English and Portuguese (written and spoken). Experience in the development of APIs via web services (e.g., Rest API). Experience with Docker.;

Funding Entity: funded by National Funds through FCT - Portuguese Foundation for Science and Technology, I.P., project (reference LA/P/0063/2020
Type of contract: fixed-term contract
The hiring shall be governed by what is stipulated in the legislation in force regarding fixed individual employment contracts and by INESC TEC norms.

Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration:
a) Relevant Curriculum in the concerned field of this tender
b) Proven experience.
Selection Jury: President of the Jury: Ricardo Jorge Bessa
Member: Manuel Matos
Member: Jorge Correia Pereira
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2021-11-24 to 2022-01-01.
Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us.

More Information

Selection process

Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration:
a) Relevant Curriculum in the concerned field of this tender
b) Proven experience.
Selection Jury: President of the Jury: Ricardo Jorge Bessa
Member: Manuel Matos
Member: Jorge Correia Pereira
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2021-11-24 to 2022-01-01.
Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    EngineeringElectrical engineering
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Computer science
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    Mathematics
  • YEARS OF RESEARCH EXPERIENCE
    None

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Bachelor Degree or equivalent
    Engineering: Bachelor Degree or equivalent
    Mathematics: Bachelor Degree or equivalent

Specific Requirements

Academic qualifications: Bachelor or Master degree in electrical and computer engineering, applied mathematics or computer science or informatics or similar.;
;
;
.
Minimum profile: Experience coding in C++ or Python.
Preference factors: Experience in artificial intelligence and data analytics, particularly if applied to power systems. Fluency in English and Portuguese (written and spoken). Experience in the development of APIs via web services (e.g., Rest API). Experience with Docker.;
.

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
INESC TEC
Portugal
Porto
4200-465
Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias

EURAXESS offer ID: 707372
Posting organisation offer ID: AE2021-0243

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