Institute for Applied Physics - Research Group Prof. Dr. Nienhaus

Job positions

Open position

PhD Position in Super-resolution RNA Imaging

Genetically encodable fluorescence markers for imaging of specific RNA molecules in live cells are still very limited. Within the project ‘Super‐resolution RNA Imaging with Aptamer‐ PAINT’, funded by the Baden‐Württemberg Stiftung (collaboration with the Jäschke lab, IPMB, U Heidelberg), we develop advanced light‐up RNA aptamers for live‐cell superresolution localization microscopy applications.

We are looking for an excellent, highly motivated person with a degree in (bio)physics, physical chemistry or related fields who is interested in working in an interdisciplinary team and who is strongly committed to careful biophysical experimentation (single molecule imaging) and computer‐based quantitative data acquisition and analysis.

Wirth, R.; Gao, P., Nienhaus, G. U., Sunbul, M. and A. Jäschke. SiRA: A Silicon Rhodamine‐ Binding Aptamer for Live‐Cell Super‐Resolution RNA Imaging. J. Am. Chem. Soc. 141, 7562 (2019)
Sunbul, M., Lackner, J., Martin, A., Englert, D., Hacene, B., Grün, F., Nienhaus, K., Nienhaus, G. U., & A. Jäschke. Super‐resolution RNA imaging using a rhodamine‐binding aptamer with fast exchange kinetics. Nature Biotechnol., in press.


Contact: Prof. Dr. Gerd Ulrich Nienhaus (uli.nienhaus∂


PhD Position in Advanced Fluorescence Microscopy

We are looking for excellent applicants with a Master‘s degree in
physics/biophysics (and related disciplines) who are strongly committed to
the development and application of optical microscopes, careful
experimentation and computer‐based quantitative data acquisition and
Contact: Prof. Dr. Gerd Ulrich Nienhaus uli.nienhaus∂


The institute offers the possibility to join our ongoing research projects (in the context of a bachelor or diploma thesis, as a PhD student or as a Postdoc)



  • Implementierung eines Software-Algorithmus zur schnellen Auswertung von biophysikalischen Messungen mit der Methode Fluoreszenz-Korrelations-Spektroskopie (Supervisor: Dr. Gernot Guigas)
  • Entwicklung eines Deep-Learning-Computermodells zur Identifikation von Protein-Clustern in Fluoreszenz-Mikroskopiebildern (Supervisor: Dr. Gernot Guigas)
  • Aufreinigung und Charakterisierung des Signalproteins Wnt (Supervisor: Dr. Gernot Guigas)



  • Untersuchung der Kommunikation zwischen Zellen über den Wnt-Signaltransduktionsweg (Supervisor: Dr. Gernot Guigas)
  • Aufreinigung und Charakterisierung des Signalproteins Wnt (Supervisor: Dr. Gernot Guigas)
  • Investigation of the isomerization kinetics of the chromophore of fluorescent proteins on the single molecule level (Supervisor: Jens Lackner)
  • Implementation of four objective lens light-sheet microscope design for multi-scale image acquisition (Supervisor: Manuel Huepfel, Dr. Andrei Kobitski)



  • STED-Nanoscopy – Development of adaptive optics for the 3D image acquisition of cell nuclei (Supervisor: Dr. Gernot Guigas)