We are looking for a highly motivated intern with a strong interest inartificial intelligence, machine learning, and data-driven processoptimization. A master student pursing any of the above mentioned relevanttrack. During the internship at imec,the candidate will develop and evaluate AI/ML models that can be integratedinto our ETM process recipes and automation workflows to improve processrobustness, stability, and performance. The work will involve analyzing complexprocess data, identifying key parameters, and building predictive or adaptivemodels that support smarter recipe control. We are seeking a proactive andindependent individual who is eager to learn, enjoys solving technicalchallenges, and is capable of collaborating within a multidisciplinary teamwhile taking ownership of their projects.
Type of internship: Master internship
Duration: 3 months
Required educational background: Computer Science, Physics
Supervising scientist(s): For further information or for application, please contact Jesus Felix Servin (< email slettet af sikkerhedsmæssige årsager >)
The reference code for this position is 2026-INT-343. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
Incomplete applications will not be considered.
Type of internship: Master internship
Duration: 3 months
Required educational background: Computer Science, Physics
Supervising scientist(s): For further information or for application, please contact Jesus Felix Servin (< email slettet af sikkerhedsmæssige årsager >)
The reference code for this position is 2026-INT-343. 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.
