Student Assistant (m/f/d) – Scanning Electron Microscopy and Sample Analysis
IHP GmbH - Leibniz-Institut für innovative Mikroelektronik
An d. Autobahn, 15236 Frankfurt (Oder)-Markendorf, Deutschland
Heute
Wissenschaft
Vollzeit
Tätigkeitsprofil:
Why this position is interesting
You will support the preparation, execution, and evaluation of electron microscopy investigations on samples from micro- and nanoelectronics. For this purpose, we are looking for a committed Student Assistant (m/f/d) in the field
of Scanning Electron Microscopy (SEM).
The position offers practical insight into the preparation, analysis, and evaluation of samples from micro- and nanoelectronics. Depending on your interests and qualifications, there is also the possibility of developing this activity into a study project or thesis, for example in the field of ECCI (Electron Channeling Contrast Imaging).
Your responsibilities:
- Preparation of samples for investigations using scanning electron microscopy
- Support in carrying out SEM analyses, with the aim of gradually developing towards independent execution
- Evaluation and documentation of acquired measurement and image data
- Performance of supplementary measurements in the context of sample characterisation
- Support in the structured preparation and interpretation of investigation results
- Assistance with general experimental and organisational tasks in the laboratory environment
Anforderungsprofil:
Required
- Ongoing university studies, for example in Physics, Electrical Engineering, Materials Science, Microsystems Engineering, Nanotechnology, or a comparable degree programme
- Interest in microscopy, material characterisation, and microelectronic topics
- Careful, structured, and reliable way of working
- Technical understanding and enthusiasm for practical laboratory work
- Good written and spoken German or English skills
Advantageous
- Initial knowledge in the field of scanning electron microscopy or material analysis
- Experience with experimental laboratory work
- Interest in the evaluation and interpretation of scientific measurement data
- Basic understanding of imaging principles, in particular with regard to depth of field, contrast, and visual image characteristics