← Back to roles

Development of an interactive platform for analysing the environmental impacts of semiconductor systems

imec

Master internship - LeuvenSoC / ASICPosted Oct 17, 2026
Apply on imec

Overview

Open roles
344
At this company
See all
Added in 30 days
205
At this company, still open

Skills named in this posting

  • UCIe / chiplets
  • Python
Context The semiconductor industry is growing rapidly, as society becomes increasingly digitalized, connected, and electrified. At the same time, continued improvements in chip performance require increasingly complex manufacturing processes, involving more process steps, materials and chemicals, and purity requirements. Those trends are compounding the industry’s energy, water, and material consumption, as well as its waste and emissions. To integrate environmental sustainability “by design” into chip technology development, imec collaborates with key players from across the value chain to assess and improve the sustainability of the semiconductor industry. This endeavour requires a tool able to estimate the impacts from making chips, their packaging options, and their assembly into complex systems. This is why imec develops imec.netzero , a software platform that simulates high-volume manufacturing semiconductor fabs and assembly lines, quantifying all related flows (materials, energy, water, emissions) and their environmental impacts. This tool quantifies the impact of existing and emerging technologies, determines key environmental hotspots, and evaluates mitigation options. It is consequently actively used by the industry to develop and execute sustainability strategies. Objective The objective of this internship is to design and implement an intuitive modelling environment for complex semiconductor device systems (such as systems-on-chip, chiplets, GPU boards, and 3D-stacked systems) in imec.netzero. The engineers using the tool should be able to seamlessly create and save their own systems in the application, visualize environmental impact hotspots, and explore alternative designs. The core challenge to solve is to represent the wide decision space of system definitions with an intuitive UI, while achieving high code quality and maintainable software architecture. Responsibilities You will actively engage in the design, coding, and testing of the custom system modelling platform. This will involve working closely with our research team to understand the nuances of semiconductor manufacturing, packaging, and assembly. You will integrate into the software development team, engaging in software project organization, architecture discussions, and code maintainability. You will perform user research and gather feedback to further improve the UI/UX design. Who you are: Applicants are expected to have some experience (and are motivated to enhance their skills) in the following areas: Programming (Python & JavaScript) Professional software engineering (architecture, documentation, clean code) Data visualization techniques User Interface (UI) and User Experience (UX) design [Optional] Semiconductor device manufacturing processes (optional) [Optional] Environmental impact assessment Type of internship : Master internship Duration : 4-6 months Required educational background : Computer Science, Nanoscience & Nanotechnology, Electrotechnics/Electrical Engineering Supervising scientist(s) : For further information or for application, please contact Vincent Schellekens ( Vincent.Schellekens@imec.be ) The reference code for this position is 2026-INT-282 . Mention this reference code in your application. Applications should include the following information: resume motivation current study Incomplete applications will not be considered

Apply on the employer's site

Original posting: imec-int.com

Apply on imec

RISC-V ecosystem

imec in the RISC-V ecosystem

RISC-V International: Community

Interuniversity Microelectronics Centre is an international research & development organization, active in the fields of nanoelectronics and digital technologies.

  • RISC-V research/design: system-level integration of a digital AI accelerator with RISC-V
  • Participates in RISC-V automotive and space-chip ecosystem work

Same employer

View all 344