Scientist Postdoc (mfd)

Leibniz-Institut für Kristallzüchtung; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading research institution in Berlin seeks a Scientist/Postdoc to develop digital twins for MOCVD processes utilizing machine learning. Ideal candidates will have a master's degree in Physics, Chemistry, or related fields, along with experience in materials science and machine learning. This position is funded for one year with possible extension and offers various benefits including flexible working hours and 30 vacation days.

Leistungen

30 vacation days

Flexible working hours

Social benefits

Qualifikationen

• At least a master's degree in a relevant field.
• Knowledge in materials science.
• Experience with machine learning.

Aufgaben

• Define the meta data space for the epitaxy of Ga layers.
• Develop an ontology for workflow.
• Develop machine learning techniques using meta data.

Kenntnisse

Laboratory Experience

Machine Learning

Data Analysis Skills

Ausbildung

Completed academic study in physics, chemistry, or related fields

Tools

NOMAD Oasis

Jobbeschreibung

The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the area of science & technology as well as service & transfer of crystalline materials. Our goal is to enable solutions for urgent societal challenges (e.g. communication artificial intelligence climate protection health etc.). by modern electronic & photonic technologies. The work covers the full spectrum from basic over applied research up to pre-industrial development and is performed in collaboration with national and international partners from university academy and industry. The institute is part of the Forschungsverbund Berlin ( and a member of the Leibniz Association . You can find more details on the institute webpage : .

Scientist / Postdoc (m / f / d)

Digital Workflow Ontologies and Machine Learning for Epitaxial Processes

• Internal Job Posting -

Epitaxial layers are the key functional parts in electronic and opto-electronic a BMFTR funded project digital twins will be developed for MOCVD processes and will be used for optimizing the process along the process chain up to the device including by means of machine learning. The industrial partner is AIXTRON one of the leading companies for MOCVD reactors.

The digital twin will be developed for the industry-established process of GaN layers and devices as well for Ga

an emerging material of high interest for high-power applications.

Your tasks :

• Defining the meta data space for the epitaxy of Ga layers in an AIXTRON reactor
• Generalizing the meta data for epitaxial processes of semiconductors with large band gap
• Developing an ontology for the workflow
• Developing machine learning exploiting the meta data of the processes

Meta data will be defined in the NOMAD Oasis framework.

Your requirements :

• Completed academic study in physics chemistry mathematics or related fields at least a master degree
• Knowledge in materials science
• Experience with machine learning
• Experience with NOMAD oasis would be beneficial

What we offer

The position is funded by the Federal Ministry of Research Technology and Space (BMFTR) and is limited for one year starting 01.01.2026 prolongation is possible. Payment is according to TVöD Bund (E13) (Collective agreement for the public sector). The contract includes the usual social benefits (30 vacation days in a 5-day week flexible working hours). The Leibniz-Institut für Kristallzüchtung actively promotes the development of young scientists and follows the guidelines of the Leibniz Association.

The Leibniz-Institut für Kristallzüchtung actively supports a healthy work-life balance and is an equal opportunities employer. Female candidates are encouraged to apply and will be given preference if suitably qualified. Among equally qualified candidates preference will be given to candidates with disabilities. IKZ promotes diversity. We welcome every qualified application regardless of age belief disabilities ethnic origin gender nationality religion or sexual orientation.

For information about the project please feel free to contact :

Dr. Wolfram Miller ( )

Have we aroused your interest

Then apply with a letter of motivation curriculum vitae and all relevant certificates by 30.11.2025. To do so please go to Job offers / jobs on our homepage and click on this advertisement and then on Apply online.

We look forward to receiving your application!

Key Skills

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1