The Chair of Advanced Transmission Electron Microscopy at the Faculty of Physics and Astronomy is looking for a
research associate (m,f,x), for 3 years, 39.83 hours per week, TVL E13
The chair of Advanced Transmission Electron Microscopy develops techniques in the electron microscope to study material phenomena down to the atomic level. The main working areas are atomic resolution microscopy, spectroscopy, 4D-STEM, in situ microscopy and data analysis. We use these methodologies to study interfaces in materials, novel catalysts, emerging magnetic materials and advanced energy materials.
We are seeking a PhD candidate or postdoctoral researcher (f/m/x) with a strong background in electron microscopy (preferably scanning / transmission electron microscopy) and data analysis / simulation. The successful candidate (f/m/x) is expected to have demonstrated a high level of proficiency in computer-based analysis of multidimensional datasets (e.g. STEM-EELS, STEM-EDS, 4D-STEM, in situ video sequences) with an emphasis on using open-source tools (e.g. hyperspy, pyxem, py4DSTEM). The candidate is required to have experience in developing and applying machine learning (ML) models using popular ML libraries (e.g. PyTorch, TensorFlow, Keras, etc.).
| extent: | full-time |
| duration: | temporary |
| beginning: | as soon as possible |
| application deadline: | 06.01.2025 |
Your tasks:
Your tasks:
- Implementation of data analysis routines of large-scale microscopy data
- Development of novel data analysis approaches including crystal orientation mapping, differential phase contrast and electron ptychography
- Develop machine learning models for image segmentation, classification and beyond
- Establish automated data analysis routines
- Collaborate with experimental researchers to enable automated experimentation
- Postdoctoral researcher: gain experience in proposal writing
Your profile:
- PhD candidate (f/m/x): Master degree in physics, applied physics, materials science or informatics
- Postdoctoral candidate (f/m/x): PhD degree in physics, applied physics, materials science or informatics
- Strong experience in Python
- Experience in code development and curation
- Solid track-record in multidimensional data analysis (e.g. spectroscopic data, video sequences etc.)
- Expert knowledge in machine learning and computer vision
- Postdoctoral candidate (f/m/x): Experience in project management and proposal writing is a plus
Our offerings:
- Challenging and varied tasks with a high degree of personal responsibility
- team-oriented collaboration in a committed, international and appreciative team
- a modern, well-equipped workplace
- a job at one of Germany's largest universities in the University Alliance Ruhr
- extensive further education and training opportunities
Additional information:
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/
If the position is funded by third-party funds the employee has no teaching obligation.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
You can find information about TVL at: https://oeffentlicher-dienst.info/
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact details for your application:
Prof. Dr. Christian Liebscherr, Phone: +49234 32 15665
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
Please send your meaningful application documents, including a cover letter, Curriculum Vitae, publication list and list of references with the subject line ANR 4096 until 06.01.2025 as one pdf document to the email address atem-jobs@ruhr-uni-bochum.de.
Please get in touch with the contact person named above if you would like to use an alternative application channel.
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