EDF Internship – Modeling of Luminescence data using Artificial Intelligence

18/10/2021

Function: Master student

Contract Type: EDF internship

Starting Date: to be defined

Working Place: Palaiseau, France (Paris-Saclay technology cluster)

Duration: 5-6 months

Education: Master 2

 

IPVF IN BRIEF

To bridge the gap between education and the world of work, EDF welcomes more than 1 500 interns every year studying for qualifications  that range from a post high school certificates to master’s degrees. In the context of its research activities in photovoltaic (PV), the R&D department of EDF contributes to IPVF.

 

IPVF – Institut Photovoltaïque d’Île-de-France, is a global Research, Innovation and Education center, which mission is to accelerate energy transition through science & technology.
Gathering industrial PV leaders (EDF, TotalEnergies, Air Liquide, Horiba and Riber) and world-renowned academic research organizations (CNRS, Ecole Polytechnique), multi-disciplinary and international IPVF teams conduct research for clean energy technologies. Supported by the French State, IPVF is labelled Institute for Energy Transition (ITE).

 

IPVF at a glance:
• An ambitious Scientific and Technological Program (6 programs divided in 24 work packages): from tandem solar cell technologies to economy & market assessment, state-of-the art characterization, photocatalysis and breakthrough concepts.
• State-of-the-art technological platform (8,000m²): more than 100 cutting-edge equipments worth €30M, located in cleanrooms (advanced characterization, materials deposition, prototypes for fabrication, modelling…).
• High-standard Education program (M.S. and PhD students).

 

 

JOB CONTEXT

The development of PV is, in France as everywhere, a booming sector. In order to surpass Shockley Queisser single-junction efficiency limitation, Perovskite-Silicon tandem cells are a promising candidate. This is why IPVF gathers many talents among its partners (EDF, TOTAL, CNRS, Ecole Polytechnique, Air Liquide, Horiba and Riber), and from outside, to fulfill its ambitious technological roadmap.
In this context, modeling of photovoltaic materials and devices is a crucial tool to significantly contribute to research efforts to improve PV cell efficiency and reduce production costs. Theory and modelling aims at (i) better understanding the impact of various physical parameters on cell performance, (ii) developing and optimizing various types of cells without having to systematically use experimental processes that might be costly, (iii) evaluating the potential of new structures and their maximum theoretical efficiency.
Within IPVF, several laboratories are involved in a project focused on the modeling of PV materials and devices for the development of adequate simulation tools. This work is done in a strong interaction with the characterization team.

 

 

MAIN MISSIONS

Photovoltaic technologies such as perovskites and tandem (pvk/si) have achieved high performance in record time. The luminescence characterization techniques and associated modeling techniques are key tools to allow the analysis of photovoltaic cells and modules at different stages of their realization and for the analysis of degradation. The data acquired by imagery can be cumbersome to manage by traditional methods and Artificial Intelligence can provide access to a better understanding of these analyzes by imagery. For this work, we will use artificial neural networks to analyze luminescence data.

 

 

PROFILE

Knowledge

 

  • Material sciences
  • Physics, Knowledge in Semiconductor physics

 

 

Know-how

 

  • Prior experience in modeling is a plus / code or script development, Python, Matlab skill
  • Knowledge in Artificial Intelligence is a plus

 

 

Self-management skills

 

▪ Strong teamwork skills / multidisciplinary teamwork
▪ Proactive and Autonomous

 

 

CONTACT

The application must include: cover letter, resume, names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number), ex of computer program developed, an electronic copy of your most significant research publications (journal or conference publication).

Application to be sent to: jean-baptiste.puel@edf.fr et daniel.ory@edf.fr

Need a direct line?

Feel free to contact us for more information about our offers.

  • +33(0)1 69 86 58 60
  • contact@ipvf.fr
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