Data Analytics for Next-Generation 2D Semiconductor Devices

Imec; Belgique; Remote; EUR 10,000 - 15,000; Full time

Benefits offered by this job

Stipend provided

Job summary

imec Leuven offers Bachelor and Master internship opportunities in Data Analytics for Next-Generation 2D Semiconductor Devices. You will build and extend a Python-based analysis framework to extract device metrics from electrical measurements, covering four-probe, Hall-bar, and MOS capacitor characterizations.

6-9 months, PAY: stipend provided. You will learn semiconductor device physics, Python software development, and automated data analysis while contributing to imec's cutting-edge research

Qualifications

• Background in computer science or related fields.
• Interest in data analytics for materials science.
• Experience with Python is a plus.
• Strong communication and teamwork skills.

Responsibilities

• Extend the analysis framework to support more characterization techniques.
• Develop robust algorithms for automated parameter extraction.
• Ensure compatibility across different measurement tools.
• Help build a scalable software framework for researchers.
• Qualify new characterization equipment and validate outputs.

Education

Bachelor in Computer Science

Electrical Engineering (Masters/related)

Nanoscience & Nanotechnology

Physics

Tools

Python

Jupyter

Job description

/ 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 background: Computer Science, Electrotechnics/Electrical Engineering, Nanoscience & Nanotechnology, Physics

University promotor: Devin Verreck (KULeuven)

Imec allowance will be provided.