12/11/2021

INESC TEC is accepting applications for 1 job(s) in the Smart Grids (AE2021-0242)


  • 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
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020
  • REFERENCE NUMBER
    AE2021-0242

OFFER DESCRIPTION

CALL FOR APPLICATIONS: RESEARCHER
Job/position/grant:

Job reference: AE2021-0242 (InterConnect-CPES)
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Job/position/grant: RESEARCHER
City: Porto
Research field: Main: ENGINEERING,COMPUTER SCIENCE,MATHEMATICS
Sub: Electrical engineering

Job summary:

INESC TEC is accepting applications for 1 Investigador job in the Smart Grids
Interoperable Solutions Connecting Smart Homes, Buildings and Grids
Scientific Advisor: José Ricardo Andrade
Duration of the contract: from 2022-01-15 to 2023-01-14
Location: INESC TEC, Porto, Portugal

Job description:

Work Area: Smart Grids
Project overview: Application of machine learning techniques for modelling energy consumption time series; Implementation and validation of computational algorithms in real pilots; Integration of the developed software with a platform for flexibility management.;
;

Objectives: The EU project InterConnect will develop solutions for a digitalisation of buildings and the electrical system based on architectures for the internet of things (IoT) that, through several digital platforms, and using a universal ontology called SAREF, guarantee interoperability between equipment and systems, while ensuring the privacy and cybersecurity of the data of different users. The goal of this position is the development of algorithms and software based on artificial intelligence for demand-side flexibility estimation and optimization.

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

Minimum profile required: ('Knowledge about machine learning techniques. Advanced Python programming skills.',)
Preference factors: Experience with forecasting techniques applied to energy systems; Fluency in English and Portuguese (spoken and written). Experience with the development of APIs.;

Funding Entity: funded by CE, project (reference 857237
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
    Engineering: Bachelor Degree or equivalent
    Computer science: 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: Knowledge about machine learning techniques. Advanced Python programming skills.
Preference factors: Experience with forecasting techniques applied to energy systems; Fluency in English and Portuguese (spoken and written). Experience with the development of APIs.;
.

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: 707371
Posting organisation offer ID: AE2021-0242

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