Postdoc Researcher in Accelerated Thin Film Development & Materials Informatics

Postdoc Researcher in Accelerated Thin Film Development & Materials Informatics

Empa - Swiss Federal Laboratories for Materials Science and Technology

Dübendorf, Switzerland

The opportunity

Contribute to groundbreaking research on UV-resilient transparent conductive materials for photovoltaic technologies. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project.

Your tasks

• Conduct combinatorial physical vapor deposition and automated characterization together with other team members;
• Perform accelerated optical degradation tests of transparent conductive materials;
• Apply machine learning techniques for data analysis and time-series forecasting;
• Collaborate in a multidisciplinary team to accelerate functional thin film development.

Your work will be part of a larger effort in our laboratory to develop tools and methods to accelerate the development of new functional thin films. In addition to the work described above, you will have the chance to contribute to many other exciting projects ranging from autonomous sputter deposition to the development of new ferroelectric materials for non-volatile memory applications.

Your profile

• PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline;
• Strong background in materials informatics and data science;
• Proficiency in Python programming;
• Experience in machine learning for materials development (e.g. supervised and active learning, feature engineering);
• Interest in lab automation (LabView experience is a plus);
• Knowledge of UHV and thin-film deposition is advantageous;
• Excellent communication skills in English;
• Strong academic track-record and publication history.

The ability to collaborate in a multidisciplinary research environment is essential. Personal initiative, ability to work systematically, reliability, responsibility, teamwork and communication skills are a must.

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