Postdoc Researcher in Accelerated Thin Film Development Materials Informatics
Postdoc Researcher in Accelerated Thin Film Development Materials Informatics
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Salary Not Disclosed
1 Vacancy
Job Description
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 timeseries 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 nonvolatile 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 thinfilm deposition is advantageous
- Excellent communication skills in English
- Strong academic trackrecord and publication history
Our offer
- Access to cuttingedge research facilities and equipment
- Collaborative international research environment
- Opportunities for professional growth and networking
- Competitive salary and benefits package
Employment Type
Full-Time
