Development of a virtual fab for sustainability and the development of IoT monitoring devices to feed it.
Leuven | More than two weeks ago
The Imec Leuven fab uses consumables such as gas, electrictity, water etc. Through the development of IoT monitoring devices that feed into a sustainability virtual fab, Imec wants to obtain a more granular insight into its footprint and provide better insght into the chip manufacturing process.
Context
The imec Leuven fabs have a sustainability footprint. Semiconductor manufacturing requires several consumables (as described in SEMI S23), to comply with local regulations and to be prepared for the future, Imec want to better understand (more granularly at Tool level) these flows. Next to complying to local legislation this data is also valuable for our Imec SSTS program that is defining this consumption in function of the manufacturing steps found in the industry. Assessing these consumables and then improving upon them is key to this program.
Objective
For this thesis/internship, the first step is to develop IoT devices that help monitor these consumables, as currently the fab and tools are not equipped to do this. Ideally this is done based on an ESP32 or similar platform. This data will then be fed into our Azure IoT hub, on top of this a virtual representation will need to be developed, preferably in a PowerBI environment (reporting platform of choice at Imec). This approach will serve multiple goals, with following 3 as primary usecases
- Imec SSTS program will have access to fab live and aggregated data for the Semi S23 consumables.
- Imec Operations will have more detailed data to report-out to governmental instances, and can setup more targeted improvement tracks.
- Our researchers will be able to tap into the data and explore the sustainability impact fo their design choices.
Responsibilities
Together with the existing team around Smartfab you will be responsible for the design and deployment of IoT monitoring devices, Secondary this data needs to be fed into our Azure IoT datalake (for this ICT interactions is needed. Thirdly you will need to develop together with the BI team a visual representation of this live and aggregated data.
Type of project: Thesis, Combination of internship and thesis
Duration: 1 year
Required degree: Master of Engineering Technology, Master of Science
Required background: Computer Science, Electromechanical engineering, Electrotechnics/Electrical Engineering, Mechanical Engineering
Supervising scientist(s): For further information or for application, please contact: Bram Vangestel (Bram.Vangestel@imec.be)
Imec allowance will be provided.