Organisation/Company: Università di Pavia
Research Field: Engineering
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: Italy
Application Deadline: 15 Jan 2025 - 23:59 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?
No
Offer DescriptionThe research project deals with the design of a suitable DSS (decision support system) helping to design the optimal configuration and secondary control laws of a hybrid microgrid (MG), suitable for specific users like agricultural Renewable Energy Communities (A-RECs).
The tool will provide indications among various choices: the best choice shall derive from a multicriteria evaluation, which shall be location specific.
The implementation will be performed by using Python and will allow to integrate the current platform, developed so far for the NODES project (Spoke 6, flagship Formidabilae, RM1) by Anglani's research group.
The phases to be developed in each term (for a total of 4 terms) are:
T1: Literature research on tools for MG design and RECs design T2: Data collection of the case study/case studies: the agricultural focus T3: Definition of the DSS framework T4: Implementation in Python and final reporting The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: Public Call.
Main Requirements1) Degree (with a course duration of not less than 4 years) or post-graduate degrees awarded by Italian or foreign Universities recognized as equivalent.
Candidates must provide the necessary documentation for qualification assessment.
2) Scientific or professional curriculum suitable for conducting the research activity.
3) If available, any Ph.D. title (Art 2- par.
1).
Further Specific Assessable Qualifications1) Scientific or professional curriculum that shows knowledge on optimal planning and/or energy management techniques, and/or experience with multicriteria decision support systems.
2) If available, any Ph.D. title or evidence of enrollment into a PhD course.
3) Scientific publications on the topics.
4) Recommendation letters.
Selection ProcessThe application for admission to the selection procedure must be submitted electronically by visiting the following web page: Application Portal.
The selection of candidates is carried out on the basis of qualifications, project, and interview, supplemented by a test of knowledge of the foreign language (Art.
6 – par.
1).
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