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Job ID: 122255

INESC TEC is accepting applications for 1 researcher job in the Engineering area (AE2019-0099)
INESC TEC


Date Posted Apr. 17, 2019
Title INESC TEC is accepting applications for 1 researcher job in the Engineering area (AE2019-0099)
University INESC TEC
Porto, Portugal
Department CPES
Application Deadline May 28, 2019
Position Start Date Available immediately
 
 
  • Graduate Student
  • Engineering - Other
    Electrical and/or Electronics
 
 

Job reference: AE2019-0099 ( INESC TEC LA – CPES )

INESC TEC РInstituto de Engenharia de Sistemas e Computadores, Tecnologia e Ci̻ncia
Job/position/grant: Investigador

City: Porto

Research field:
Main: ENGINEERING
Sub: Electrical engineering

Job summary: INESC TEC is accepting applications for 1 researcher job in the Engineering area.

Project: INESC TECUID/EEA/50014/2019

Scientific Advisor: Ricardo Jorge Bessa

Duration of the contract:from 2019-06-01 to 2020-05-31 eventually renewable.

Work Area: Engineering

Project overview: The technological revolution in the energy sector is producing large volumes of data with valuable impact in the business and functional processes of system operators, generation companies and grid users. The research fellow will develop innovative data-driven techniques (e.g., reinforcement learning) for different optimization problems (e.g., energy efficiency) and join a multidisciplinary team referenced internationally for its high expertise in energy analytics, within the context of smart grids.

Objectives: The tasks involve the development of algorithms for load and storage device management by applying optimization methods. Specifically, the following objectives should be accomplished: Conceptualize, develop and implement innovative computational intelligence algorithms Publish papers in international conferences and journals Promote the transition to a distributed intelligence paradigm

Academic Qualifications: Master degree in Electrical Engineering, Computer Science, Operations Research or similar

Minimum profile required: Advance knowledge in machine learning Advance knowledge in programming (e.g., Python) Fluent in English (spoken and written)

Preference factors: Exp. with energy systems related problems Exp. with optimization techniques (mathematical, meta-heuristics or data-driven) Exp.with TensorFlow or PyTorch

Funding Entity: Funded by National Funds through FCT – Portuguese Foundation for Science and Technology, I.P.,in the scope of the project UID/EEA/50014/2019

Type of contract: Fixed contract

The hiring shall be governed by what is stipulated in the legislation in force regarding fixed individual employment contracts, as well as by the internal rules of INESC TEC, considering the regulations on the funding of R&D units for 2015-2020.

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: Prof. Ricardo Jorge Bessa ;
Member: Prof. Jorge Correia Pereira ;
Member: Prof. David Emanuel Rua ;

Notification of results: The results of the selection process will be sent to the interested by electronic mail.

Application period: From 2019-04-26 to 2019-05-28

Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us


 
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