21 May 2024
Job Information
- Organisation/Company
IMT Mines Albi- Research Field
Computer science » Other
Engineering » Computer engineering
Engineering » Industrial engineering- Researcher Profile
First Stage Researcher (R1)- Country
France- Application Deadline
15 Jun 2024 - 23:59 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Oct 2024- Is the job funded through the EU Research Framework Programme?
FP7- Reference Number
101158432- Is the Job related to staff position within a Research Infrastructure?
Yes
Offer Description
Project description and objective
Many countries have made commitments to reduce greenhouse gas (GHG) emissions, and more than a hundred have pledged to achieve carbon neutrality by 2050 or 2060. Thus, national and European environmental policies aim to significantly reduce, or even abandon, the use of fossil fuels, increase the share of renewable energies, and increase the electrification of uses, as with the development of electric vehicles. In order to anticipate future changes in energy requirements or environmental regulations, it is vital that policy-makers or stakeholders need decision-support tools for medium and long-term planning of energy system evolution. These decisions are based on cost control, ability to meet expected increases in demand and energy reliability, while reducing GHG emissions.
One step in the development of these decision support tools is to scenario the future evolution of energy consumption and production on the scale under consideration, as well as the costs of electricity and energy production and storage equipment, so as to be able to decide on the changes to be made to the energy system over time.
The ORION project "Novel Digital Components For International Renewable Energy Value Chains" is funded by the European Union's Horizon Europe research and innovation action program. The project brings together 11 partners from 8 countries, representing an international consortium of R&D&I laboratories and companies. Within this consortium, the laboratories of Télécom Sud Paris and IMT Mines Albi aim to implement a methodological approach and associated numerical tools for the development of a decision-making tool to assist the evolution of local electricity networks integrating a growing share of renewable energies.
PhD objectives and methodological approach
The PhD student's main objective will be to develop algorithms for predicting and planning the evolution of local energy systems (microgrids) over a time horizon of several years, using machine learning and numerical optimization techniques. Particular attention will be paid to taking account of the random nature of certain variables in the design of predictive scenarios. For this reason, stochastic optimization techniques are expected to be combined with machine learning.
On the other hand, the ORION project will provide two use cases on which to apply the methodology developed. These use cases correspond to the isolated energy networks of seaports, with sustained fishing and tourism activities (cruise ships). The specificities of these applications will naturally have to be integrated into the proposed approaches. It will therefore be necessary to consider large-scale data classification and aggregation algorithms.
In practical terms, the main stages of the research work will consist of :
- the inventory of available data needed to implement the methodology,
- the setting up a distributed architecture for data processing, using federated learning methods that do not require data to be shared or transported.
- the analysis, classification, aggregation and modeling of time series, such as consumption and production profiles, in order to integrate them into the decision support tool,
- the development of a procedure for drawing up future production and consumption scenarios based on the data collected,
- the actual development of the digital tool for proposing the planning of the local energy system, according to the predictive scenarios. Modular modeling of the various infrastructures in the local energy system will be employed to provide a tool that can be generalized to a wide range of situations.
In addition to research activities related to the thesis objective, the PhD student will take part in ORION project progress meetings to present the results obtained. The PhD student will also have the task of communicating his/her results at events outside the project, such as international conferences. He/she will also be required to write scientific articles.
Requirements
- Research Field
- Computer science » Other
- Education Level
- Master Degree or equivalent
- Research Field
- Engineering
- Education Level
- Master Degree or equivalent
Skills/Qualifications
Machine learning
python
data science
energy
- Languages
- ENGLISH
- Level
- Excellent
Internal Application form(s) needed
PhD position - ORION - vo.pdf
English
(55.1 KB - PDF)
Download
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- IMT Mines Albi
- Country
- France
- Geofield
Where to apply
[email protected]
Contact
- State/Province
Tarn- City
Albi- Website
https://www.imt-mines-albi.fr/- Street
Campus Jarlard- Postal Code
81013 Cedex 09
STATUS: EXPIRED