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Physics-Based Parameter Extraction for InAs Colloidal Quantum Dot Photodiodes

Internship 25 to 36 months

Leuven (Belgium)

Published on 20 October 2026

  • Contract

    Internship 25 to 36 months

  • Location

    Leuven (Belgium)

  • Start date

    As soon as possible

  • Salary

    Information not provided

  • Remote working

    Not specified

Colloidal quantum dots are promising semiconductor materials for next-generation short-wave infrared (SWIR) photodetectors due to their low-cost processing and tunable optoelectronic properties. However, accurately modeling these devices requires reliable material parameters that cannot be measured directly.

In this project, the student will combine optical and electrical characterization with physics-based modeling to extract the key electronic properties of InAs colloidal quantum dot films. Time-resolved photoluminescence (TRPL) and current-voltage (I-V) measurements will be analyzed using custom fitting algorithms, and the extracted parameters will be implemented in TCAD to develop predictive digital twins of quantum dot photodiodes. The project offers hands-on experience in semiconductor characterization, scientific programming, numerical optimization, and device simulation.

Type of internship: Master internship

Duration: 6-12 months

Required educational background: Nanoscience & Nanotechnology, Electrotechnics/Electrical Engineering, Physics, Other

University promotor: Jan Genoe (KU Leuven)

Supervising scientist(s): For further information or for application, please contact Yigithan Mehmet Kose (< email deleted for security reasons >) and Wenya Song (< email deleted for security reasons >)

The reference code for this position is 2026-INT-216. Mention this reference code in your application.

Imec allowance will be provided for students studying at a non-Belgian university.

Applications should include the following information:
  • resume
  • motivation
  • current study

Incomplete applications will not be considered.

Application deadline

As long as the job is online

Study level

Master level or equivalent

Job Category

Technology

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