2026-IpdDip-01-mate - Stochastic optimization for intraday electricity markets with constraints on r
Pubblicato il 04-08-2026 - Altro in Roma
Organisation/Company Università di Pavia Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 8 Sep 2026 - 12:00 (UTC) Country Italy 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
Prima di candidarsi per questo ruolo, la preghiamo di leggere le seguenti informazioni su questa occasione, riportate di seguito.
Offer Description The winner will contribute to the development of models and algorithms for optimizing bids on intraday electricity markets. The stochastic optimization models will be based on various risk measures, including, for example, Conditional Value at Risk, and will be applied to real data from the Italian electricity market (historical time series from the last 5 years). The models will be implemented in Python using both commercial and academic MILP solvers.
The research results will be disseminated through conference proceedings and international journals.
The winner will also participate in and coordinate some activities of the research group, including the organization of periodic research seminars and the supervision of PhD students, as well as master's and bachelor's degree students.
The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a research doctorate (PhD) or equivalent qualification obtained abroad, or, for the sectors concerned, a medical specialization qualification,preferably in Operations Research.The educational qualification has to concern the research theme. xkiyazw
Further specific assessable qualifications (see Art. 1 par. 1 Call for applications):
Master's Degree preferably in Mathematics
PhD preferably in Operations Research
Previous experience in research projects in the energy sector (such as, for example, Optimal Bidding and AC-OPF)
Excellent Python programming skills
Knowledge of MILP solvers such as Gurobi and HiGHS
Availability for travel to industrial partners
Knowledge of Italian is required in order to communicate with industrial partners.
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Eligibility of fellows: country/ies of residence:
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Eligibility of fellows: nationality/ies
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Selection process