The Challenge
Spectral sensingcaptures wavelength-dependent optical information that remains inaccessible toconventional broadband imaging systems. In the short-wave infrared (SWIR)range, this capability is particularly valuable for applications such as Earthobservation, agrifood monitoring, waste sorting, and material characterization.Conventional spectrometers typically rely on optical filters and bulk opticalcomponents, which increase system complexity and significantly reduce theavailable optical signal due to filtering losses.
What You Will Do
This projectexplores an alternative approach based on colloidal quantum-dot (cQD)photodiodes combined with compressed spectral sensing techniques. Inparticular, you will investigate the integration of solution-processable cQDphotodiodes with compressed-sensing-based spectral reconstruction methods.
You will get thechance to
Your experimentalwork will be supported by data analysis and modeling, helping you drawmeaningful conclusions from your results. In addition, you will have theopportunity to work in an international research environment, collaboratingwith experienced researchers and engineers who will support your scientificgrowth.
Requirements
The project offersexperience in device modeling, thin-film processing and optical and electricalcharacterization within a multidisciplinary research team. A background insemiconductor devices, photonics, electrical engineering or materials scienceis desirable. Experience with TCAD, optical simulation, Python or MATLAB is anadvantage, and the balance between modeling, fabrication support andcharacterization can be adjusted to the candidate's background and interests. Astrong command of English is essential for effective communication.
Time Distribution
40% modeling andsimulation, 30% fabrication support and laboratory work, 20% characterizationand data analysis, 10% literature study and reporting
Type of internship: Master internship
Duration: 12months
Required educational background: Electrotechnics/Electrical Engineering, Materials Engineering
University promotor: Jan Genoe (KU Leuven)
Supervising scientist(s): For further information or for application, please contact Gokhan Kara (< correo electrónico eliminado por razones de seguridad >) and Jaewon Nam (< correo electrónico eliminado por razones de seguridad >)
The reference code for this position is 2026-INT-324. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
Incomplete applications will not be considered.
Spectral sensingcaptures wavelength-dependent optical information that remains inaccessible toconventional broadband imaging systems. In the short-wave infrared (SWIR)range, this capability is particularly valuable for applications such as Earthobservation, agrifood monitoring, waste sorting, and material characterization.Conventional spectrometers typically rely on optical filters and bulk opticalcomponents, which increase system complexity and significantly reduce theavailable optical signal due to filtering losses.
What You Will Do
This projectexplores an alternative approach based on colloidal quantum-dot (cQD)photodiodes combined with compressed spectral sensing techniques. Inparticular, you will investigate the integration of solution-processable cQDphotodiodes with compressed-sensing-based spectral reconstruction methods.
You will get thechance to
- Model the device physcics (e.g. TCAD, TMM)of this optoelectronic device
- Fabricate thin film photodiode stacksbased on cQD
- Characterize cQD photodiodes electricallyand optically
- Investigated spectral reconstructionalgorithms
Your experimentalwork will be supported by data analysis and modeling, helping you drawmeaningful conclusions from your results. In addition, you will have theopportunity to work in an international research environment, collaboratingwith experienced researchers and engineers who will support your scientificgrowth.
Requirements
The project offersexperience in device modeling, thin-film processing and optical and electricalcharacterization within a multidisciplinary research team. A background insemiconductor devices, photonics, electrical engineering or materials scienceis desirable. Experience with TCAD, optical simulation, Python or MATLAB is anadvantage, and the balance between modeling, fabrication support andcharacterization can be adjusted to the candidate's background and interests. Astrong command of English is essential for effective communication.
Time Distribution
40% modeling andsimulation, 30% fabrication support and laboratory work, 20% characterizationand data analysis, 10% literature study and reporting
Type of internship: Master internship
Duration: 12months
Required educational background: Electrotechnics/Electrical Engineering, Materials Engineering
University promotor: Jan Genoe (KU Leuven)
Supervising scientist(s): For further information or for application, please contact Gokhan Kara (< correo electrónico eliminado por razones de seguridad >) and Jaewon Nam (< correo electrónico eliminado por razones de seguridad >)
The reference code for this position is 2026-INT-324. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
- resume
- motivation
- current study
Incomplete applications will not be considered.
