Data Analytics for Next-Generation 2D Semiconductor Devices
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
/ Data Analytics for Next-Generation 2D Semiconductor Devices
Data Analytics for Next-Generation 2D Semiconductor Devices
Bachelor internship, Master internship - Leuven | About a week ago
Build the analysis infrastructure that turns measurements into scientific understanding.
At imec, wedevelop advanced electronic devices based on emerging 2D semiconductormaterials such as MoS₂, WSe₂, and WS₂. These technologies are being exploredfor future low-power and high-performance electronics using device structuresranging from MOS capacitors and transistors to Hall-bar test structures.
A key challengeis the efficient extraction of meaningful device parameters from the rapidlygrowing volume of measurement data. To address this, we are developing aPython-based analysis framework that automatically processes electricalcharacterization data and extracts key figures of merit such as thresholdvoltage, subthreshold swing, and mobility from two-probe transistormeasurements.
Your Role
The primary goalof this internship is to extend this analysis framework to support a broaderrange of characterization techniques and device structures, including:
- Four-probe transistormeasurements
- Hall-bar measurements
- New measurement platformsand data formats
You will developrobust algorithms for automated parameter extraction, ensure compatibilityacross different measurement tools, and help build a scalable softwareframework that researchers can use across multiple projects and technologies.
A smaller part ofthe project will involve qualifying new characterization equipment andvalidating its output against existing measurement platforms.
What You Will Learn
- Semiconductor devicephysics and characterization
- Electrical measurements onadvanced 2D-material devices
- Scientific softwaredevelopment in Python
- Automated data analysis oflarge experimental datasets
Impact
Your development will directly accelerate imec's research on next-generationsemiconductor technologies. By transforming large volumes of raw measurementdata into reliable device metrics, your work will enable researchers toevaluate new devices faster, compare technologies more effectively, and gaindeeper insight into the underlying device physics.
Type of internship: Bachelor internship, Master internship
Duration: 6-9 months
Required educational background: Computer Science, Electrotechnics/Electrical Engineering, Nanoscience & Nanotechnology, Physics
University promotor: Devin Verreck (KULeuven)
Imec allowance will be provided.
At imec, wedevelop advanced electronic devices based on emerging 2D semiconductormaterials such as MoS₂, WSe₂, and WS₂. These technologies are being exploredfor future low-power and high-performance electronics using device structuresranging from MOS capacitors and transistors to Hall-bar test structures.
A key challengeis the efficient extraction of meaningful device parameters from the rapidlygrowing volume of measurement data. To address this, we are developing aPython-based analysis framework that automatically processes electricalcharacterization data and extracts key figures of merit such as thresholdvoltage, subthreshold swing, and mobility from two-probe transistormeasurements.
Your Role
The primary goalof this internship is to extend this analysis framework to support a broaderrange of characterization techniques and device structures, including:
- Four-probe transistormeasurements
- MOS capacitor (C-V)characterization
- Hall-bar measurements
- New measurement platformsand data formats
You will developrobust algorithms for automated parameter extraction, ensure compatibilityacross different measurement tools, and help build a scalable softwareframework that researchers can use across multiple projects and technologies.
A smaller part ofthe project will involve qualifying new characterization equipment andvalidating its output against existing measurement platforms.
What You Will Learn
- Semiconductor devicephysics and characterization
- Electrical measurements onadvanced 2D-material devices
- Scientific softwaredevelopment in Python
- Automated data analysis oflarge experimental datasets
Impact
Your development will directly accelerate imec's research on next-generationsemiconductor technologies. By transforming large volumes of raw measurementdata into reliable device metrics, your work will enable researchers toevaluate new devices faster, compare technologies more effectively, and gaindeeper insight into the underlying device physics.
Type of internship: Bachelor internship, Master internship
Duration: 6-9 months
Required educational backgro