IPVF – INTERNSHIP – Device Optimization through Advanced Characterization of Perovskite Solar Cells and Modeling M/F

Institut Photovoltaïque d'Ile-de-France (IPVF); Palaiseau; On-site; EUR 10,000 - 13,000; Full time

Job summary

IPVF – Photovoltaic Institute of Île-de-France in Palaiseau invites a Master student to join a six-month internship focused on modeling and data analysis for perovskite solar cells. You will work on simulations with drift-diffusion approaches using Setfos and contribute to experimental interpretation in the lab.

You'll develop skills in data science, materials modelling and Python/ Matlab, collaborating with researchers to advance device performance in a world-class energy transition program.

Qualifications

• Strong background in data science and materials science.
• Experience with modeling and simulation of PV devices.
• Proficiency in Matlab and Python.
• Familiarity with perovskite solar cells is a plus.

Responsibilities

• Model full-device perovskite solar cells to reproduce J–V, EQE, and PL measurements.
• Identify limiting interfaces and guide device architecture improvements.
• Conduct J–V characterization at different scan rates and EQE measurements in the lab.

Skills

Data science

Matlab/Python computing

Materials science

Photovoltaics knowledge

Education

M2 / Engineering school

Tools

Setfos

Job description

Function: Internship

Contract: IPVF internship agreement

Starting date: March 2027

Duration: 6 months

Workplace: IPVF – 18 bd Thomas Gobert, 91120 Palaiseau (France)

Education: M2, Engineering school in data, modeling, material science, physical science

Ref.: PR-CM-2-ST

IPVF – Photovoltaic Institute of Île-de-France

IPVF is a scientific and technical pole dedicated to the research and development of solar technologies. It permanently hosts its own staff, as well as the employees of its partners and external companies. IPVF aims to become one of the world's leading centers for research, innovation, and training in the field of energy transition.

IPVF Primary Objective Is To Improve The Performance And Competitiveness Of Photovoltaic Cells And Develop Breakthrough Technologies By Relying On Four Levers

• Ambitious research program.
• The hosting of more than 200 researchers and their laboratories on its Paris-Saclay site.
• A state-of-the‑art technology platform (8,000 m²) open to the photovoltaic industry actors, with more than 100 state‑of‑the‑art equipment units located in clean rooms.
• A training program mainly based on a master's degree, the supervision of PhD students, and continuing education.

CONTEXT

Perovskite solar cells are intensively investigated at IPVF and researchers collaborate to develop better performing and more reliable devices which is crucial for the next generation of solar cells. This includes developing fabrication processes and characterizing materials and devices along fabrication steps, all supported by theoretical studies.

Performances are optimized through fabrication, characterization and modeling of the properties. This results in a lot of knowledge and data which can be used to support advanced modeling. Electronic and optical behavior of layers and interfaces can be modeled to support to reliable and efficient technological choices.

MAIN MISSIONS

Good understanding of this baseline behavior can enable to simulate the stack using drift diffusion simulations and reproduce experimental data to establish a realistic numerical twin of the stack that could then evolve to guide device stack evolution towards higher PCEs . The simulations will be performed using Setfos (license already available at IPVF), enabling the optical and electrical properties of the individual layers and their interactions within the complete device stack to be investigated.

Missions Are As Follows

• Work on the full-device modeling of perovskite solar cells, with the aim of reproducing and interpreting experimental characterization measurements obtained in the laboratory. The modeling will include the reproduction of current density-voltage (J–V), external quantum efficiency (EQE), and photoluminescence (PL) measurements.
• Perform modeling used to identify limiting interfaces or layers, optimize the device architecture and provide guidelines for improving the performance of perovskite solar cells from both optical and electrical perspectives.
• Perform complementary J–V characterization, for example at different scan‑rates, and EQE measurements in the lab to gain understanding about real life device operation.

Hard skills

• Data science
• Physical/material science
• Matlab/Python computing
• Knowledge in photovoltaics is a plus

Soft skills

• Results oriented
• Innovative
• Team work