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Leibniz-Institut für Kristallzüchtung

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Postdoc in Digital Workflow, Ontologies, and Machine Learning for Epitaxial Processes Leibniz-Institut für Kristallzüchtung in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

The postdoc position is funded by the Federal Ministry of Research, Technology and Space (BMFTR), limited until 2028-09-30. Salary is according to TVöD Bund E13 with usual social benefits, including 30 vacation days in a 5-day week and flexible working hours.

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Country

Germany

University

Leibniz-Institut für Kristallzüchtung

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Keywords

Computer Science
Data Science
Chemistry
Electrical Engineering
Materials Science
Ontology
Digital Twin Technology
Silicon Technology
Gan
Physics
ML

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About this position

Postdoc opening at the Leibniz-Institut für Kristallzüchtung (IKZ) in Berlin, Germany for research on Digital Workflow, Ontologies, and Machine Learning for Epitaxial Processes.

The project focuses on developing digital twins for MOCVD processes to optimize epitaxial growth along the process chain up to the device level. The work is part of a BMFTR-funded project and involves industrial collaboration with AIXTRON as well as scientific collaboration with data scientists from Humboldt University and MPI-SUSMAT, plus device-processing data from the Ferdinand-Braun-Institute (FBH).

Key research tasks include defining the metadata space for Ga2O3 epitaxy in an AIXTRON reactor, generalizing metadata for wide-bandgap semiconductor epitaxial processes, developing an ontology for the workflow, and building machine learning methods using process metadata in the NOMAD Oasis framework.

Applicants should have a completed academic degree in physics, chemistry, mathematics, or a related field, plus a PhD. Required or preferred experience includes data science, machine learning, and materials science; experience with GitLab and NOMAD Oasis is beneficial.

The position is funded until 2028-09-30 and paid according to TVöD Bund E13 with standard social benefits. To apply, submit a motivation letter, CV, certificates, and references through the online application portal. Applications are accepted until the position is filled.

Funding details

The postdoc position is funded by the Federal Ministry of Research, Technology and Space (BMFTR), limited until 2028-09-30. Salary is according to TVöD Bund E13 with usual social benefits, including 30 vacation days in a 5-day week and flexible working hours.

What's required

Completed academic study in physics, chemistry, mathematics or a related field and a PhD degree. Applicants should have knowledge in data science, experience with machine learning, and knowledge in materials science. Experience with GitLab and NOMAD Oasis would be beneficial.

How to apply

Prepare a motivation letter, CV, all relevant certificates, and references. Submit the application online via the job posting on the institute website and click 'Apply online'. Applications are accepted until the position is filled.

More information can be found here

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